mirror of
https://github.com/storytold/cloud-worker.git
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bench: results summarizer (mean±std tables); rebuild CSVs from authoritative JSONL
The CSV header predated the ref_count column so later rows were misaligned; JSONL rows were always complete. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Hanashi
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ts,label,task,model_file,width,height,seconds,length,steps,sampler,scheduler,ref_image_size,ref_count,warm,ok,wall_s,exec_s,peak_vram_gb,outputs,error
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2026-08-06T07:51:24Z,g4000_smoke_t2v,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,1,False,False,135.0,,15.0,,server unreachable while polling: [Errno 104] Connection reset by peer
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2026-08-06T07:58:16Z,g4000_smoke_t2v_b,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,1,False,True,343.4,341.0,22.7,g4000_smoke_t2v_b_00001_.mp4,
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{"label": "g4000_smoke_t2v", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 608, "height": 352, "seconds": 5.0, "length": 124, "steps": 20, "seed": 7, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4000_smoke_t2v", "ok": false, "status": "server_lost", "wall_s": 135.0, "exec_s": null, "peak_vram_gb": 15.0, "outputs": [], "error": "server unreachable while polling: [Errno 104] Connection reset by peer", "ts": "2026-08-06T07:51:24Z"}
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{"label": "g4000_smoke_t2v_b", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 608, "height": 352, "seconds": 5.0, "length": 124, "steps": 20, "seed": 9, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4000_smoke_t2v_b", "ok": true, "status": "success", "wall_s": 343.4, "exec_s": 341.0, "peak_vram_gb": 22.7, "outputs": ["g4000_smoke_t2v_b_00001_.mp4"], "error": null, "ts": "2026-08-06T07:58:16Z"}
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@@ -0,0 +1,28 @@
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ts,label,task,model_file,width,height,seconds,length,steps,sampler,scheduler,ref_image_size,ref_count,warm,ok,wall_s,exec_s,peak_vram_gb,outputs,error
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2026-08-06T07:09:10Z,g4090_smoke_t2v,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,1,False,False,105.6,103.8,16.1,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""94a541f0-b58d-4f8a-92b1-4fa970ee635e"", ""timestamp"": 1786000045555}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""94a541f0-b58d-4f8a-92b1-4fa970ee635e"", ""timestamp"": 1786000045572}], [""execution_error"", {""prompt_id"": ""94a541f0-b58d-4f8a-92b1-4fa970ee635e"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ImageToVideo"", ""executed"": [""3"", ""2"", ""4""], ""exception_message"": ""scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\n"", ""exception_type"": ""TypeError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/__init__.py\"", line 149, in wrapped_func\n return method(locked_class, **inputs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/"
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2026-08-06T07:09:13Z,g4090_pi8_key_t2v_5s_r0,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,False,False,2.6,0.0,16.2,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""410fc71b-ee79-4fd3-aa05-f361251090e1"", ""timestamp"": 1786000151383}], [""execution_cached"", {""nodes"": [""2"", ""3"", ""4""], ""prompt_id"": ""410fc71b-ee79-4fd3-aa05-f361251090e1"", ""timestamp"": 1786000151385}], [""execution_error"", {""prompt_id"": ""410fc71b-ee79-4fd3-aa05-f361251090e1"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ImageToVideo"", ""executed"": [], ""exception_message"": ""scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\n"", ""exception_type"": ""TypeError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/__init__.py\"", line 149, in wrapped_func\n return method(locked_class, **inputs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/"
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2026-08-06T07:09:16Z,g4090_pi8_key_t2v_5s_r1,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,False,2.7,0.0,16.2,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""a9eafb82-e31d-4fa6-953b-18dceb5eb595"", ""timestamp"": 1786000154055}], [""execution_cached"", {""nodes"": [""2"", ""3"", ""4""], ""prompt_id"": ""a9eafb82-e31d-4fa6-953b-18dceb5eb595"", ""timestamp"": 1786000154059}], [""execution_error"", {""prompt_id"": ""a9eafb82-e31d-4fa6-953b-18dceb5eb595"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ImageToVideo"", ""executed"": [], ""exception_message"": ""scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\n"", ""exception_type"": ""TypeError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/__init__.py\"", line 149, in wrapped_func\n return method(locked_class, **inputs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/"
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2026-08-06T07:09:19Z,g4090_pi8_key_t2v_5s_r2,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,False,2.7,0.0,16.2,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""7536b365-75bc-4685-a658-b34f2516f51f"", ""timestamp"": 1786000156726}], [""execution_cached"", {""nodes"": [""2"", ""3"", ""4""], ""prompt_id"": ""7536b365-75bc-4685-a658-b34f2516f51f"", ""timestamp"": 1786000156730}], [""execution_error"", {""prompt_id"": ""7536b365-75bc-4685-a658-b34f2516f51f"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ImageToVideo"", ""executed"": [], ""exception_message"": ""scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\n"", ""exception_type"": ""TypeError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/__init__.py\"", line 149, in wrapped_func\n return method(locked_class, **inputs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/"
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2026-08-06T07:09:22Z,g4090_pi8_key_ref2v_1ref_r0,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,False,False,3.1,1.6,16.2,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""210fe515-48cb-454c-800e-c1af712ae39d"", ""timestamp"": 1786000159693}], [""execution_cached"", {""nodes"": [""2"", ""3"", ""4""], ""prompt_id"": ""210fe515-48cb-454c-800e-c1af712ae39d"", ""timestamp"": 1786000159698}], [""execution_error"", {""prompt_id"": ""210fe515-48cb-454c-800e-c1af712ae39d"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ReferenceToVideo"", ""executed"": [""10""], ""exception_message"": ""scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\n"", ""exception_type"": ""TypeError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/__init__.py\"", line 149, in wrapped_func\n return method(locked_class, **inputs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" "
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2026-08-06T07:09:24Z,g4090_pi8_key_ref2v_1ref_r1,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,False,2.7,0.3,21.4,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""6353b763-7624-466d-ad6b-1824c843aa22"", ""timestamp"": 1786000162487}], [""execution_cached"", {""nodes"": [""2"", ""3"", ""4"", ""10""], ""prompt_id"": ""6353b763-7624-466d-ad6b-1824c843aa22"", ""timestamp"": 1786000162493}], [""execution_error"", {""prompt_id"": ""6353b763-7624-466d-ad6b-1824c843aa22"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ReferenceToVideo"", ""executed"": [], ""exception_message"": ""scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\n"", ""exception_type"": ""TypeError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/__init__.py\"", line 149, in wrapped_func\n return method(locked_class, **inputs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", """
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2026-08-06T07:09:27Z,g4090_pi8_key_ref2v_1ref_r2,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,False,2.8,0.3,21.5,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""5ec17963-a0cc-49b8-95af-650613748940"", ""timestamp"": 1786000165178}], [""execution_cached"", {""nodes"": [""2"", ""3"", ""4"", ""10""], ""prompt_id"": ""5ec17963-a0cc-49b8-95af-650613748940"", ""timestamp"": 1786000165182}], [""execution_error"", {""prompt_id"": ""5ec17963-a0cc-49b8-95af-650613748940"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ReferenceToVideo"", ""executed"": [], ""exception_message"": ""scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\n"", ""exception_type"": ""TypeError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/__init__.py\"", line 149, in wrapped_func\n return method(locked_class, **inputs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", """
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2026-08-06T07:09:55Z,g4090_pi8_key_ref2v_8ref_r0,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,False,27.8,25.3,21.5,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""64db2617-8dd3-4f8c-86b7-feed2570b618"", ""timestamp"": 1786000167976}], [""execution_cached"", {""nodes"": [""2"", ""3"", ""4"", ""20""], ""prompt_id"": ""64db2617-8dd3-4f8c-86b7-feed2570b618"", ""timestamp"": 1786000168297}], [""execution_error"", {""prompt_id"": ""64db2617-8dd3-4f8c-86b7-feed2570b618"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ReferenceToVideo"", ""executed"": [""21"", ""26"", ""25"", ""27"", ""22"", ""24"", ""23""], ""exception_message"": ""scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\n"", ""exception_type"": ""TypeError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/__init__.py\"", line 149, in wrapped_func\n return method(locked_class, **inputs)\n "
|
||||
2026-08-06T07:10:09Z,g4090_pi8_key_ref2v_8ref_r1,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,False,14.2,13.1,21.4,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""148a97ca-5dd1-4411-acb4-e6442f1bcf36"", ""timestamp"": 1786000195802}], [""execution_cached"", {""nodes"": [""2"", ""3"", ""4"", ""20"", ""21"", ""22"", ""23"", ""24"", ""25"", ""26"", ""27""], ""prompt_id"": ""148a97ca-5dd1-4411-acb4-e6442f1bcf36"", ""timestamp"": 1786000196040}], [""execution_error"", {""prompt_id"": ""148a97ca-5dd1-4411-acb4-e6442f1bcf36"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ReferenceToVideo"", ""executed"": [], ""exception_message"": ""scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\n"", ""exception_type"": ""TypeError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/__init__.py\"", line 149, in wrapped_func\n return method(locked_class, **inputs)\n "
|
||||
2026-08-06T07:21:45Z,g4090_smoke_t2v_v2,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,1,False,True,294.4,291.9,23.0,g4090_smoke_t2v_v2_00001_.mp4,
|
||||
2026-08-06T07:23:04Z,g4090_pi8_key_t2v_5s_r0,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,False,False,52.5,50.3,24.5,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""7631dc7e-3e06-4340-b184-35908e81aa1d"", ""timestamp"": 1786000932333}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7""], ""prompt_id"": ""7631dc7e-3e06-4340-b184-35908e81aa1d"", ""timestamp"": 1786000932335}], [""execution_error"", {""prompt_id"": ""7631dc7e-3e06-4340-b184-35908e81aa1d"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""8"", ""9"", ""5""], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/_"
|
||||
2026-08-06T07:23:25Z,g4090_pi8_key_t2v_5s_r1,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,False,20.7,18.2,21.6,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""4700e64a-a7b9-4d20-ad0c-8fbe54463077"", ""timestamp"": 1786000984922}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""9"", ""5""], ""prompt_id"": ""4700e64a-a7b9-4d20-ad0c-8fbe54463077"", ""timestamp"": 1786000984924}], [""execution_error"", {""prompt_id"": ""4700e64a-a7b9-4d20-ad0c-8fbe54463077"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""8""], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/_"
|
||||
2026-08-06T07:23:46Z,g4090_pi8_key_t2v_5s_r2,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,False,20.7,18.2,21.5,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""f5ce7a86-5f5f-474f-816e-fb3c651c0ec1"", ""timestamp"": 1786001005603}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""9"", ""5""], ""prompt_id"": ""f5ce7a86-5f5f-474f-816e-fb3c651c0ec1"", ""timestamp"": 1786001005605}], [""execution_error"", {""prompt_id"": ""f5ce7a86-5f5f-474f-816e-fb3c651c0ec1"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""8""], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/_"
|
||||
2026-08-06T07:25:33Z,g4090_pi8_key_ref2v_1ref_r0,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,False,False,107.8,107.2,25.1,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""b8882cf8-cab9-4f66-9373-3ec784a2811e"", ""timestamp"": 1786001026340}], [""execution_cached"", {""nodes"": [""2"", ""3"", ""4"", ""6"", ""8""], ""prompt_id"": ""b8882cf8-cab9-4f66-9373-3ec784a2811e"", ""timestamp"": 1786001026346}], [""execution_error"", {""prompt_id"": ""b8882cf8-cab9-4f66-9373-3ec784a2811e"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""1"", ""9"", ""10"", ""5"", ""7""], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/inte"
|
||||
2026-08-06T07:25:54Z,g4090_pi8_key_ref2v_1ref_r1,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,False,20.9,18.6,21.9,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""ed8731a7-dee0-47a4-87e2-4e7e6e09d3a6"", ""timestamp"": 1786001134158}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""8"", ""9"", ""10"", ""5""], ""prompt_id"": ""ed8731a7-dee0-47a4-87e2-4e7e6e09d3a6"", ""timestamp"": 1786001134162}], [""execution_error"", {""prompt_id"": ""ed8731a7-dee0-47a4-87e2-4e7e6e09d3a6"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/in"
|
||||
2026-08-06T07:26:15Z,g4090_pi8_key_ref2v_1ref_r2,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,False,20.8,18.4,22.0,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""4778e0f9-1397-4764-9f61-ccbd39c44eca"", ""timestamp"": 1786001155028}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""8"", ""9"", ""10"", ""5""], ""prompt_id"": ""4778e0f9-1397-4764-9f61-ccbd39c44eca"", ""timestamp"": 1786001155031}], [""execution_error"", {""prompt_id"": ""4778e0f9-1397-4764-9f61-ccbd39c44eca"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/in"
|
||||
2026-08-06T07:27:13Z,g4090_pi8_key_ref2v_8ref_r0,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,False,57.8,56.6,24.8,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""1ca703f5-b51e-41d2-9129-1d4bcb028fbd"", ""timestamp"": 1786001175875}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""8"", ""20""], ""prompt_id"": ""1ca703f5-b51e-41d2-9129-1d4bcb028fbd"", ""timestamp"": 1786001176260}], [""execution_error"", {""prompt_id"": ""1ca703f5-b51e-41d2-9129-1d4bcb028fbd"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""23"", ""27"", ""24"", ""25"", ""9"", ""22"", ""5"", ""21"", ""26""], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^"
|
||||
2026-08-06T07:27:34Z,g4090_pi8_key_ref2v_8ref_r1,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,False,20.7,18.4,21.9,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""bd1005b8-5005-48d3-b8a3-71024f41205b"", ""timestamp"": 1786001233687}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""8"", ""9"", ""20"", ""21"", ""22"", ""23"", ""24"", ""25"", ""26"", ""27"", ""5""], ""prompt_id"": ""bd1005b8-5005-48d3-b8a3-71024f41205b"", ""timestamp"": 1786001233897}], [""execution_error"", {""prompt_id"": ""bd1005b8-5005-48d3-b8a3-71024f41205b"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^"
|
||||
2026-08-06T07:27:54Z,g4090_pi8_key_ref2v_8ref_r2,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,False,20.8,18.3,21.9,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""82804bc1-e0e8-4c3d-b3d0-7fc51cf09099"", ""timestamp"": 1786001254392}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""8"", ""9"", ""20"", ""21"", ""22"", ""23"", ""24"", ""25"", ""26"", ""27"", ""5""], ""prompt_id"": ""82804bc1-e0e8-4c3d-b3d0-7fc51cf09099"", ""timestamp"": 1786001254602}], [""execution_error"", {""prompt_id"": ""82804bc1-e0e8-4c3d-b3d0-7fc51cf09099"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^"
|
||||
2026-08-06T07:28:22Z,g4090_pi8_key_t2v_15s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,15,362,20,res_multistep,simple,match,1,True,False,27.5,26.0,16.7,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""74c4ba1d-aea1-499d-b3eb-7cc6daba3430"", ""timestamp"": 1786001275135}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7""], ""prompt_id"": ""74c4ba1d-aea1-499d-b3eb-7cc6daba3430"", ""timestamp"": 1786001275138}], [""execution_error"", {""prompt_id"": ""74c4ba1d-aea1-499d-b3eb-7cc6daba3430"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""8"", ""9"", ""5""], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/_"
|
||||
2026-08-06T07:28:49Z,g4090_pi8_key_t2v_1344,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,1,True,False,27.6,26.5,22.9,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""df5d5440-81d1-41ab-9abb-9db85e63c735"", ""timestamp"": 1786001302639}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""8""], ""prompt_id"": ""df5d5440-81d1-41ab-9abb-9db85e63c735"", ""timestamp"": 1786001302641}], [""execution_error"", {""prompt_id"": ""df5d5440-81d1-41ab-9abb-9db85e63c735"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""9"", ""5""], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/internal/_"
|
||||
2026-08-06T07:29:40Z,g4090_pi8_key_ref2v_8ref_max,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,8,True,False,50.7,49.4,23.6,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""08e7a7d5-c0ff-4f95-9867-82b781bc916b"", ""timestamp"": 1786001330315}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""8"", ""20"", ""21"", ""22"", ""23"", ""24"", ""25"", ""26"", ""27""], ""prompt_id"": ""08e7a7d5-c0ff-4f95-9867-82b781bc916b"", ""timestamp"": 1786001330525}], [""execution_error"", {""prompt_id"": ""08e7a7d5-c0ff-4f95-9867-82b781bc916b"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ReferenceToVideo"", ""executed"": [], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\"
|
||||
2026-08-06T07:30:01Z,g4090_pi8_refheavy_1ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,False,20.8,18.2,21.6,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""d72850e0-b13e-4d47-bc49-fe7404049bff"", ""timestamp"": 1786001381177}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""9"", ""10"", ""5""], ""prompt_id"": ""d72850e0-b13e-4d47-bc49-fe7404049bff"", ""timestamp"": 1786001381183}], [""execution_error"", {""prompt_id"": ""d72850e0-b13e-4d47-bc49-fe7404049bff"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""8""], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/comfy_api/inte"
|
||||
2026-08-06T07:30:38Z,g4090_pi8_refheavy_4ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,4,True,False,36.7,35.8,23.3,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""05a13b6a-a2a1-470e-9b48-54bbc5072a1f"", ""timestamp"": 1786001402077}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""8"", ""20"", ""21"", ""22"", ""23""], ""prompt_id"": ""05a13b6a-a2a1-470e-9b48-54bbc5072a1f"", ""timestamp"": 1786001402081}], [""execution_error"", {""prompt_id"": ""05a13b6a-a2a1-470e-9b48-54bbc5072a1f"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""9"", ""5""], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/Comf"
|
||||
2026-08-06T07:30:59Z,g4090_pi8_refheavy_8ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,False,20.8,18.7,21.8,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""91e186ad-65df-47f6-be72-9501dfc1e9f1"", ""timestamp"": 1786001438642}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""8"", ""9"", ""20"", ""21"", ""22"", ""23"", ""24"", ""25"", ""26"", ""27"", ""5""], ""prompt_id"": ""91e186ad-65df-47f6-be72-9501dfc1e9f1"", ""timestamp"": 1786001438852}], [""execution_error"", {""prompt_id"": ""91e186ad-65df-47f6-be72-9501dfc1e9f1"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^"
|
||||
2026-08-06T07:31:17Z,g4090_pi8_refheavy_4ref_max,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,4,True,False,18.7,18.0,22.4,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""c79b27c2-09cc-4ce1-b078-6a5234b74d88"", ""timestamp"": 1786001459467}], [""execution_cached"", {""nodes"": [""1"", ""2"", ""3"", ""4"", ""6"", ""7"", ""8"", ""20"", ""21"", ""22"", ""23""], ""prompt_id"": ""c79b27c2-09cc-4ce1-b078-6a5234b74d88"", ""timestamp"": 1786001459474}], [""execution_error"", {""prompt_id"": ""c79b27c2-09cc-4ce1-b078-6a5234b74d88"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ReferenceToVideo"", ""executed"": [], ""exception_message"": ""Allocation on device \nThis error means you ran out of memory on your GPU.\n\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number."", ""exception_type"": ""torch.OutOfMemoryError"", ""traceback"": ["" File \""/ComfyUI/execution.py\"", line 545, in execute\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 344, in get_output_data\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n"", "" File \""/ComfyUI/execution.py\"", line 318, in _async_map_node_over_list\n await process_inputs(input_dict, i)\n"", "" File \""/ComfyUI/execution.py\"", line 306, in process_inputs\n result = f(**inputs)\n ^^^^^^^^^^^\n"", "" File \""/ComfyUI/c"
|
||||
2026-08-06T07:40:29Z,g4090_oomcheck_t2v_864,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5.0,124,20,res_multistep,simple,match,1,True,True,393.1,390.7,21.4,g4090_oomcheck_t2v_864_00001_.mp4,
|
||||
|
@@ -0,0 +1,27 @@
|
||||
{"label": "g4090_smoke_t2v", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 608, "height": 352, "seconds": 5.0, "length": 124, "steps": 20, "seed": 1, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_smoke_t2v", "ok": false, "status": "error", "wall_s": 105.6, "exec_s": 103.8, "peak_vram_gb": 16.1, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"94a541f0-b58d-4f8a-92b1-4fa970ee635e\", \"timestamp\": 1786000045555}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"94a541f0-b58d-4f8a-92b1-4fa970ee635e\", \"timestamp\": 1786000045572}], [\"execution_error\", {\"prompt_id\": \"94a541f0-b58d-4f8a-92b1-4fa970ee635e\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ImageToVideo\", \"executed\": [\"3\", \"2\", \"4\"], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/", "ts": "2026-08-06T07:09:10Z"}
|
||||
{"label": "g4090_pi8_key_t2v_5s_r0", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r0", "ok": false, "status": "error", "wall_s": 2.6, "exec_s": 0.0, "peak_vram_gb": 16.2, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"410fc71b-ee79-4fd3-aa05-f361251090e1\", \"timestamp\": 1786000151383}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\"], \"prompt_id\": \"410fc71b-ee79-4fd3-aa05-f361251090e1\", \"timestamp\": 1786000151385}], [\"execution_error\", {\"prompt_id\": \"410fc71b-ee79-4fd3-aa05-f361251090e1\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ImageToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/", "ts": "2026-08-06T07:09:13Z"}
|
||||
{"label": "g4090_pi8_key_t2v_5s_r1", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r1", "ok": false, "status": "error", "wall_s": 2.7, "exec_s": 0.0, "peak_vram_gb": 16.2, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"a9eafb82-e31d-4fa6-953b-18dceb5eb595\", \"timestamp\": 1786000154055}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\"], \"prompt_id\": \"a9eafb82-e31d-4fa6-953b-18dceb5eb595\", \"timestamp\": 1786000154059}], [\"execution_error\", {\"prompt_id\": \"a9eafb82-e31d-4fa6-953b-18dceb5eb595\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ImageToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/", "ts": "2026-08-06T07:09:16Z"}
|
||||
{"label": "g4090_pi8_key_t2v_5s_r2", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r2", "ok": false, "status": "error", "wall_s": 2.7, "exec_s": 0.0, "peak_vram_gb": 16.2, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"7536b365-75bc-4685-a658-b34f2516f51f\", \"timestamp\": 1786000156726}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\"], \"prompt_id\": \"7536b365-75bc-4685-a658-b34f2516f51f\", \"timestamp\": 1786000156730}], [\"execution_error\", {\"prompt_id\": \"7536b365-75bc-4685-a658-b34f2516f51f\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ImageToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/", "ts": "2026-08-06T07:09:19Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_1ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r0", "ok": false, "status": "error", "wall_s": 3.1, "exec_s": 1.6, "peak_vram_gb": 16.2, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"210fe515-48cb-454c-800e-c1af712ae39d\", \"timestamp\": 1786000159693}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\"], \"prompt_id\": \"210fe515-48cb-454c-800e-c1af712ae39d\", \"timestamp\": 1786000159698}], [\"execution_error\", {\"prompt_id\": \"210fe515-48cb-454c-800e-c1af712ae39d\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [\"10\"], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" ", "ts": "2026-08-06T07:09:22Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_1ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r1", "ok": false, "status": "error", "wall_s": 2.7, "exec_s": 0.3, "peak_vram_gb": 21.4, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"6353b763-7624-466d-ad6b-1824c843aa22\", \"timestamp\": 1786000162487}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\", \"10\"], \"prompt_id\": \"6353b763-7624-466d-ad6b-1824c843aa22\", \"timestamp\": 1786000162493}], [\"execution_error\", {\"prompt_id\": \"6353b763-7624-466d-ad6b-1824c843aa22\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \"", "ts": "2026-08-06T07:09:24Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_1ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r2", "ok": false, "status": "error", "wall_s": 2.8, "exec_s": 0.3, "peak_vram_gb": 21.5, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"5ec17963-a0cc-49b8-95af-650613748940\", \"timestamp\": 1786000165178}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\", \"10\"], \"prompt_id\": \"5ec17963-a0cc-49b8-95af-650613748940\", \"timestamp\": 1786000165182}], [\"execution_error\", {\"prompt_id\": \"5ec17963-a0cc-49b8-95af-650613748940\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \"", "ts": "2026-08-06T07:09:27Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_8ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r0", "ok": false, "status": "error", "wall_s": 27.8, "exec_s": 25.3, "peak_vram_gb": 21.5, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"64db2617-8dd3-4f8c-86b7-feed2570b618\", \"timestamp\": 1786000167976}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\", \"20\"], \"prompt_id\": \"64db2617-8dd3-4f8c-86b7-feed2570b618\", \"timestamp\": 1786000168297}], [\"execution_error\", {\"prompt_id\": \"64db2617-8dd3-4f8c-86b7-feed2570b618\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [\"21\", \"26\", \"25\", \"27\", \"22\", \"24\", \"23\"], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ", "ts": "2026-08-06T07:09:55Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_8ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r1", "ok": false, "status": "error", "wall_s": 14.2, "exec_s": 13.1, "peak_vram_gb": 21.4, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"148a97ca-5dd1-4411-acb4-e6442f1bcf36\", \"timestamp\": 1786000195802}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\"], \"prompt_id\": \"148a97ca-5dd1-4411-acb4-e6442f1bcf36\", \"timestamp\": 1786000196040}], [\"execution_error\", {\"prompt_id\": \"148a97ca-5dd1-4411-acb4-e6442f1bcf36\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ", "ts": "2026-08-06T07:10:09Z"}
|
||||
{"label": "g4090_smoke_t2v_v2", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 608, "height": 352, "seconds": 5.0, "length": 124, "steps": 20, "seed": 7, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_smoke_t2v_v2", "ok": true, "status": "success", "wall_s": 294.4, "exec_s": 291.9, "peak_vram_gb": 23.0, "outputs": ["g4090_smoke_t2v_v2_00001_.mp4"], "error": null, "ts": "2026-08-06T07:21:45Z"}
|
||||
{"label": "g4090_pi8_key_t2v_5s_r0", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r0", "ok": false, "status": "error", "wall_s": 52.5, "exec_s": 50.3, "peak_vram_gb": 24.5, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"7631dc7e-3e06-4340-b184-35908e81aa1d\", \"timestamp\": 1786000932333}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\"], \"prompt_id\": \"7631dc7e-3e06-4340-b184-35908e81aa1d\", \"timestamp\": 1786000932335}], [\"execution_error\", {\"prompt_id\": \"7631dc7e-3e06-4340-b184-35908e81aa1d\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"8\", \"9\", \"5\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/_", "ts": "2026-08-06T07:23:04Z"}
|
||||
{"label": "g4090_pi8_key_t2v_5s_r1", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r1", "ok": false, "status": "error", "wall_s": 20.7, "exec_s": 18.2, "peak_vram_gb": 21.6, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"4700e64a-a7b9-4d20-ad0c-8fbe54463077\", \"timestamp\": 1786000984922}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"9\", \"5\"], \"prompt_id\": \"4700e64a-a7b9-4d20-ad0c-8fbe54463077\", \"timestamp\": 1786000984924}], [\"execution_error\", {\"prompt_id\": \"4700e64a-a7b9-4d20-ad0c-8fbe54463077\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"8\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/_", "ts": "2026-08-06T07:23:25Z"}
|
||||
{"label": "g4090_pi8_key_t2v_5s_r2", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r2", "ok": false, "status": "error", "wall_s": 20.7, "exec_s": 18.2, "peak_vram_gb": 21.5, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"f5ce7a86-5f5f-474f-816e-fb3c651c0ec1\", \"timestamp\": 1786001005603}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"9\", \"5\"], \"prompt_id\": \"f5ce7a86-5f5f-474f-816e-fb3c651c0ec1\", \"timestamp\": 1786001005605}], [\"execution_error\", {\"prompt_id\": \"f5ce7a86-5f5f-474f-816e-fb3c651c0ec1\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"8\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/_", "ts": "2026-08-06T07:23:46Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_1ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r0", "ok": false, "status": "error", "wall_s": 107.8, "exec_s": 107.2, "peak_vram_gb": 25.1, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"b8882cf8-cab9-4f66-9373-3ec784a2811e\", \"timestamp\": 1786001026340}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\", \"6\", \"8\"], \"prompt_id\": \"b8882cf8-cab9-4f66-9373-3ec784a2811e\", \"timestamp\": 1786001026346}], [\"execution_error\", {\"prompt_id\": \"b8882cf8-cab9-4f66-9373-3ec784a2811e\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"1\", \"9\", \"10\", \"5\", \"7\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/inte", "ts": "2026-08-06T07:25:33Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_1ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r1", "ok": false, "status": "error", "wall_s": 20.9, "exec_s": 18.6, "peak_vram_gb": 21.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"ed8731a7-dee0-47a4-87e2-4e7e6e09d3a6\", \"timestamp\": 1786001134158}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"9\", \"10\", \"5\"], \"prompt_id\": \"ed8731a7-dee0-47a4-87e2-4e7e6e09d3a6\", \"timestamp\": 1786001134162}], [\"execution_error\", {\"prompt_id\": \"ed8731a7-dee0-47a4-87e2-4e7e6e09d3a6\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/in", "ts": "2026-08-06T07:25:54Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_1ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r2", "ok": false, "status": "error", "wall_s": 20.8, "exec_s": 18.4, "peak_vram_gb": 22.0, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"4778e0f9-1397-4764-9f61-ccbd39c44eca\", \"timestamp\": 1786001155028}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"9\", \"10\", \"5\"], \"prompt_id\": \"4778e0f9-1397-4764-9f61-ccbd39c44eca\", \"timestamp\": 1786001155031}], [\"execution_error\", {\"prompt_id\": \"4778e0f9-1397-4764-9f61-ccbd39c44eca\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/in", "ts": "2026-08-06T07:26:15Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_8ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r0", "ok": false, "status": "error", "wall_s": 57.8, "exec_s": 56.6, "peak_vram_gb": 24.8, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"1ca703f5-b51e-41d2-9129-1d4bcb028fbd\", \"timestamp\": 1786001175875}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"20\"], \"prompt_id\": \"1ca703f5-b51e-41d2-9129-1d4bcb028fbd\", \"timestamp\": 1786001176260}], [\"execution_error\", {\"prompt_id\": \"1ca703f5-b51e-41d2-9129-1d4bcb028fbd\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"23\", \"27\", \"24\", \"25\", \"9\", \"22\", \"5\", \"21\", \"26\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^", "ts": "2026-08-06T07:27:13Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_8ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r1", "ok": false, "status": "error", "wall_s": 20.7, "exec_s": 18.4, "peak_vram_gb": 21.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"bd1005b8-5005-48d3-b8a3-71024f41205b\", \"timestamp\": 1786001233687}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"9\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"5\"], \"prompt_id\": \"bd1005b8-5005-48d3-b8a3-71024f41205b\", \"timestamp\": 1786001233897}], [\"execution_error\", {\"prompt_id\": \"bd1005b8-5005-48d3-b8a3-71024f41205b\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^", "ts": "2026-08-06T07:27:34Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_8ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r2", "ok": false, "status": "error", "wall_s": 20.8, "exec_s": 18.3, "peak_vram_gb": 21.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"82804bc1-e0e8-4c3d-b3d0-7fc51cf09099\", \"timestamp\": 1786001254392}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"9\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"5\"], \"prompt_id\": \"82804bc1-e0e8-4c3d-b3d0-7fc51cf09099\", \"timestamp\": 1786001254602}], [\"execution_error\", {\"prompt_id\": \"82804bc1-e0e8-4c3d-b3d0-7fc51cf09099\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^", "ts": "2026-08-06T07:27:54Z"}
|
||||
{"label": "g4090_pi8_key_t2v_15s", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 15, "length": 362, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_15s", "ok": false, "status": "error", "wall_s": 27.5, "exec_s": 26.0, "peak_vram_gb": 16.7, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"74c4ba1d-aea1-499d-b3eb-7cc6daba3430\", \"timestamp\": 1786001275135}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\"], \"prompt_id\": \"74c4ba1d-aea1-499d-b3eb-7cc6daba3430\", \"timestamp\": 1786001275138}], [\"execution_error\", {\"prompt_id\": \"74c4ba1d-aea1-499d-b3eb-7cc6daba3430\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"8\", \"9\", \"5\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/_", "ts": "2026-08-06T07:28:22Z"}
|
||||
{"label": "g4090_pi8_key_t2v_1344", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 1344, "height": 768, "seconds": 5, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_1344", "ok": false, "status": "error", "wall_s": 27.6, "exec_s": 26.5, "peak_vram_gb": 22.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"df5d5440-81d1-41ab-9abb-9db85e63c735\", \"timestamp\": 1786001302639}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\"], \"prompt_id\": \"df5d5440-81d1-41ab-9abb-9db85e63c735\", \"timestamp\": 1786001302641}], [\"execution_error\", {\"prompt_id\": \"df5d5440-81d1-41ab-9abb-9db85e63c735\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"9\", \"5\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/_", "ts": "2026-08-06T07:28:49Z"}
|
||||
{"label": "g4090_pi8_key_ref2v_8ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_max", "ok": false, "status": "error", "wall_s": 50.7, "exec_s": 49.4, "peak_vram_gb": 23.6, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"08e7a7d5-c0ff-4f95-9867-82b781bc916b\", \"timestamp\": 1786001330315}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\"], \"prompt_id\": \"08e7a7d5-c0ff-4f95-9867-82b781bc916b\", \"timestamp\": 1786001330525}], [\"execution_error\", {\"prompt_id\": \"08e7a7d5-c0ff-4f95-9867-82b781bc916b\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\", "ts": "2026-08-06T07:29:40Z"}
|
||||
{"label": "g4090_pi8_refheavy_1ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_refheavy_1ref_match", "ok": false, "status": "error", "wall_s": 20.8, "exec_s": 18.2, "peak_vram_gb": 21.6, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"d72850e0-b13e-4d47-bc49-fe7404049bff\", \"timestamp\": 1786001381177}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"9\", \"10\", \"5\"], \"prompt_id\": \"d72850e0-b13e-4d47-bc49-fe7404049bff\", \"timestamp\": 1786001381183}], [\"execution_error\", {\"prompt_id\": \"d72850e0-b13e-4d47-bc49-fe7404049bff\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"8\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/inte", "ts": "2026-08-06T07:30:01Z"}
|
||||
{"label": "g4090_pi8_refheavy_4ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 4, "warm": true, "filename_prefix": "bench/g4090_pi8_refheavy_4ref_match", "ok": false, "status": "error", "wall_s": 36.7, "exec_s": 35.8, "peak_vram_gb": 23.3, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"05a13b6a-a2a1-470e-9b48-54bbc5072a1f\", \"timestamp\": 1786001402077}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"20\", \"21\", \"22\", \"23\"], \"prompt_id\": \"05a13b6a-a2a1-470e-9b48-54bbc5072a1f\", \"timestamp\": 1786001402081}], [\"execution_error\", {\"prompt_id\": \"05a13b6a-a2a1-470e-9b48-54bbc5072a1f\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"9\", \"5\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/Comf", "ts": "2026-08-06T07:30:38Z"}
|
||||
{"label": "g4090_pi8_refheavy_8ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_refheavy_8ref_match", "ok": false, "status": "error", "wall_s": 20.8, "exec_s": 18.7, "peak_vram_gb": 21.8, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"91e186ad-65df-47f6-be72-9501dfc1e9f1\", \"timestamp\": 1786001438642}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"9\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"5\"], \"prompt_id\": \"91e186ad-65df-47f6-be72-9501dfc1e9f1\", \"timestamp\": 1786001438852}], [\"execution_error\", {\"prompt_id\": \"91e186ad-65df-47f6-be72-9501dfc1e9f1\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^", "ts": "2026-08-06T07:30:59Z"}
|
||||
{"label": "g4090_pi8_refheavy_4ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 4, "warm": true, "filename_prefix": "bench/g4090_pi8_refheavy_4ref_max", "ok": false, "status": "error", "wall_s": 18.7, "exec_s": 18.0, "peak_vram_gb": 22.4, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"c79b27c2-09cc-4ce1-b078-6a5234b74d88\", \"timestamp\": 1786001459467}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"20\", \"21\", \"22\", \"23\"], \"prompt_id\": \"c79b27c2-09cc-4ce1-b078-6a5234b74d88\", \"timestamp\": 1786001459474}], [\"execution_error\", {\"prompt_id\": \"c79b27c2-09cc-4ce1-b078-6a5234b74d88\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/c", "ts": "2026-08-06T07:31:17Z"}
|
||||
{"label": "g4090_oomcheck_t2v_864", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5.0, "length": 124, "steps": 20, "seed": 8, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_oomcheck_t2v_864", "ok": true, "status": "success", "wall_s": 393.1, "exec_s": 390.7, "peak_vram_gb": 21.4, "outputs": ["g4090_oomcheck_t2v_864_00001_.mp4"], "error": null, "ts": "2026-08-06T07:40:29Z"}
|
||||
+81
-21
@@ -1,24 +1,84 @@
|
||||
ts,label,task,model_file,width,height,seconds,length,steps,sampler,scheduler,ref_image_size,warm,ok,wall_s,exec_s,peak_vram_gb,outputs,error
|
||||
2026-08-06T04:19:55Z,smoke_t2v,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,False,True,80.8,80.1,42.0,smoke_t2v_00001_.mp4,
|
||||
2026-08-06T04:20:48Z,smoke_i2v,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,True,True,37.9,36.3,45.0,smoke_i2v_00001_.mp4,
|
||||
2026-08-06T04:22:41Z,smoke_ref2v,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,False,True,113.3,111.4,67.0,smoke_ref2v_00001_.mp4,
|
||||
2026-08-06T04:26:04Z,prunedint8_sweep_t2v_608x352_5s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5,124,20,res_multistep,simple,match,False,True,10.9,9.6,64.4,prunedint8_sweep_t2v_608x352_5s_00001_.mp4,
|
||||
2026-08-06T04:27:19Z,prunedint8_sweep_t2v_608x352_10s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,10,243,20,res_multistep,simple,match,True,True,75.9,74.6,68.4,prunedint8_sweep_t2v_608x352_10s_00001_.mp4,
|
||||
2026-08-06T04:29:21Z,prunedint8_sweep_t2v_608x352_15s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,15,362,20,res_multistep,simple,match,True,True,121.6,119.8,70.0,prunedint8_sweep_t2v_608x352_15s_00001_.mp4,
|
||||
2026-08-06T04:30:29Z,prunedint8_sweep_t2v_864x480_5s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,True,True,67.4,65.5,69.1,prunedint8_sweep_t2v_864x480_5s_00001_.mp4,
|
||||
2026-08-06T04:33:03Z,prunedint8_sweep_t2v_864x480_10s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,10,243,20,res_multistep,simple,match,True,True,155.0,153.8,70.5,prunedint8_sweep_t2v_864x480_10s_00001_.mp4,
|
||||
2026-08-06T04:37:39Z,prunedint8_sweep_t2v_864x480_15s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,15,362,20,res_multistep,simple,match,True,True,275.2,272.2,75.1,prunedint8_sweep_t2v_864x480_15s_00001_.mp4,
|
||||
2026-08-06T04:40:53Z,prunedint8_sweep_t2v_1344x768_5s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,True,True,194.6,193.9,72.5,prunedint8_sweep_t2v_1344x768_5s_00001_.mp4,
|
||||
2026-08-06T04:50:17Z,prunedint8_sweep_t2v_1344x768_10s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,10,243,20,res_multistep,simple,match,True,True,564.2,562.7,85.4,prunedint8_sweep_t2v_1344x768_10s_00001_.mp4,
|
||||
2026-08-06T05:08:49Z,prunedint8_sweep_t2v_1344x768_15s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,15,362,20,res_multistep,simple,match,True,True,1111.4,1108.4,95.7,prunedint8_sweep_t2v_1344x768_15s_00001_.mp4,
|
||||
2026-08-06T05:09:58Z,prunedint8_sweep_i2v_864x480_5s,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,True,True,69.4,67.3,66.7,prunedint8_sweep_i2v_864x480_5s_00001_.mp4,
|
||||
2026-08-06T05:12:37Z,prunedint8_sweep_i2v_864x480_10s,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,10,243,20,res_multistep,simple,match,True,True,158.3,156.4,72.0,prunedint8_sweep_i2v_864x480_10s_00001_.mp4,
|
||||
2026-08-06T05:17:16Z,prunedint8_sweep_i2v_864x480_15s,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,15,362,20,res_multistep,simple,match,True,True,279.8,277.7,74.8,prunedint8_sweep_i2v_864x480_15s_00001_.mp4,
|
||||
2026-08-06T05:20:46Z,prunedint8_sweep_i2v_1344x768_5s,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,True,True,209.6,207.9,73.0,prunedint8_sweep_i2v_1344x768_5s_00001_.mp4,
|
||||
2026-08-06T05:21:56Z,prunedint8_sweep_ref2v_864x480_5s,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,False,True,69.9,68.1,68.1,prunedint8_sweep_ref2v_864x480_5s_00001_.mp4,
|
||||
2026-08-06T05:24:33Z,prunedint8_sweep_ref2v_864x480_10s,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,10,243,20,res_multistep,simple,match,True,True,157.3,156.8,71.9,prunedint8_sweep_ref2v_864x480_10s_00001_.mp4,
|
||||
2026-08-06T05:29:10Z,prunedint8_sweep_ref2v_864x480_15s,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,15,362,20,res_multistep,simple,match,True,True,276.6,276.1,75.2,prunedint8_sweep_ref2v_864x480_15s_00001_.mp4,
|
||||
2026-08-06T05:32:42Z,prunedint8_sweep_ref2v_1344x768_5s,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,True,True,211.6,209.5,72.3,prunedint8_sweep_ref2v_1344x768_5s_00001_.mp4,
|
||||
ts,label,task,model_file,width,height,seconds,length,steps,sampler,scheduler,ref_image_size,ref_count,warm,ok,wall_s,exec_s,peak_vram_gb,outputs,error
|
||||
2026-08-06T04:19:55Z,smoke_t2v,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,,False,True,80.8,80.1,42.0,smoke_t2v_00001_.mp4,
|
||||
2026-08-06T04:20:48Z,smoke_i2v,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,,True,True,37.9,36.3,45.0,smoke_i2v_00001_.mp4,
|
||||
2026-08-06T04:22:41Z,smoke_ref2v,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,,False,True,113.3,111.4,67.0,smoke_ref2v_00001_.mp4,
|
||||
2026-08-06T04:26:04Z,prunedint8_sweep_t2v_608x352_5s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5,124,20,res_multistep,simple,match,,False,True,10.9,9.6,64.4,prunedint8_sweep_t2v_608x352_5s_00001_.mp4,
|
||||
2026-08-06T04:27:19Z,prunedint8_sweep_t2v_608x352_10s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,10,243,20,res_multistep,simple,match,,True,True,75.9,74.6,68.4,prunedint8_sweep_t2v_608x352_10s_00001_.mp4,
|
||||
2026-08-06T04:29:21Z,prunedint8_sweep_t2v_608x352_15s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,15,362,20,res_multistep,simple,match,,True,True,121.6,119.8,70.0,prunedint8_sweep_t2v_608x352_15s_00001_.mp4,
|
||||
2026-08-06T04:30:29Z,prunedint8_sweep_t2v_864x480_5s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,,True,True,67.4,65.5,69.1,prunedint8_sweep_t2v_864x480_5s_00001_.mp4,
|
||||
2026-08-06T04:33:03Z,prunedint8_sweep_t2v_864x480_10s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,10,243,20,res_multistep,simple,match,,True,True,155.0,153.8,70.5,prunedint8_sweep_t2v_864x480_10s_00001_.mp4,
|
||||
2026-08-06T04:37:39Z,prunedint8_sweep_t2v_864x480_15s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,15,362,20,res_multistep,simple,match,,True,True,275.2,272.2,75.1,prunedint8_sweep_t2v_864x480_15s_00001_.mp4,
|
||||
2026-08-06T04:40:53Z,prunedint8_sweep_t2v_1344x768_5s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,,True,True,194.6,193.9,72.5,prunedint8_sweep_t2v_1344x768_5s_00001_.mp4,
|
||||
2026-08-06T04:50:17Z,prunedint8_sweep_t2v_1344x768_10s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,10,243,20,res_multistep,simple,match,,True,True,564.2,562.7,85.4,prunedint8_sweep_t2v_1344x768_10s_00001_.mp4,
|
||||
2026-08-06T05:08:49Z,prunedint8_sweep_t2v_1344x768_15s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,15,362,20,res_multistep,simple,match,,True,True,1111.4,1108.4,95.7,prunedint8_sweep_t2v_1344x768_15s_00001_.mp4,
|
||||
2026-08-06T05:09:58Z,prunedint8_sweep_i2v_864x480_5s,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,,True,True,69.4,67.3,66.7,prunedint8_sweep_i2v_864x480_5s_00001_.mp4,
|
||||
2026-08-06T05:12:37Z,prunedint8_sweep_i2v_864x480_10s,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,10,243,20,res_multistep,simple,match,,True,True,158.3,156.4,72.0,prunedint8_sweep_i2v_864x480_10s_00001_.mp4,
|
||||
2026-08-06T05:17:16Z,prunedint8_sweep_i2v_864x480_15s,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,15,362,20,res_multistep,simple,match,,True,True,279.8,277.7,74.8,prunedint8_sweep_i2v_864x480_15s_00001_.mp4,
|
||||
2026-08-06T05:20:46Z,prunedint8_sweep_i2v_1344x768_5s,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,,True,True,209.6,207.9,73.0,prunedint8_sweep_i2v_1344x768_5s_00001_.mp4,
|
||||
2026-08-06T05:21:56Z,prunedint8_sweep_ref2v_864x480_5s,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,,False,True,69.9,68.1,68.1,prunedint8_sweep_ref2v_864x480_5s_00001_.mp4,
|
||||
2026-08-06T05:24:33Z,prunedint8_sweep_ref2v_864x480_10s,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,10,243,20,res_multistep,simple,match,,True,True,157.3,156.8,71.9,prunedint8_sweep_ref2v_864x480_10s_00001_.mp4,
|
||||
2026-08-06T05:29:10Z,prunedint8_sweep_ref2v_864x480_15s,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,15,362,20,res_multistep,simple,match,,True,True,276.6,276.1,75.2,prunedint8_sweep_ref2v_864x480_15s_00001_.mp4,
|
||||
2026-08-06T05:32:42Z,prunedint8_sweep_ref2v_1344x768_5s,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,,True,True,211.6,209.5,72.3,prunedint8_sweep_ref2v_1344x768_5s_00001_.mp4,
|
||||
2026-08-06T05:33:30Z,prunedint8_sweep_t2v_608x352_5s_clean,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,608,352,5.0,124,20,res_multistep,simple,match,1,True,True,34.2,32.5,64.8,prunedint8_sweep_t2v_608x352_5s_clean_00001_.mp4,
|
||||
2026-08-06T05:34:38Z,prunedint8_refheavy_1ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,67.5,65.8,68.1,prunedint8_refheavy_1ref_match_00001_.mp4,
|
||||
2026-08-06T05:36:02Z,prunedint8_refheavy_4ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,4,True,True,84.5,83.0,69.5,prunedint8_refheavy_4ref_match_00001_.mp4,
|
||||
2026-08-06T06:02:12Z,prunedint8_refheavy_1ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,249.1,248.3,43.9,prunedint8_refheavy_1ref_match_00001_.mp4,
|
||||
2026-08-06T06:03:31Z,prunedint8_refheavy_4ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,4,True,True,79.4,78.7,48.3,prunedint8_refheavy_4ref_match_00001_.mp4,
|
||||
2026-08-06T06:05:14Z,prunedint8_refheavy_8ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,103.0,101.1,44.8,prunedint8_refheavy_8ref_match_00001_.mp4,
|
||||
2026-08-06T06:07:03Z,prunedint8_refheavy_4ref_max,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,4,True,True,108.9,108.4,48.4,prunedint8_refheavy_4ref_max_00001_.mp4,
|
||||
2026-08-06T06:09:50Z,prunedint8_refheavy_8ref_max,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,8,True,True,167.2,165.1,48.8,prunedint8_refheavy_8ref_max_00001_.mp4,
|
||||
2026-08-06T06:15:34Z,prunedint8_refheavy_8ref_match_1344,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,8,True,True,343.6,342.5,55.6,prunedint8_refheavy_8ref_match_1344_00001_.mp4,
|
||||
2026-08-06T06:17:58Z,pi8_key_t2v_5s_r0,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,False,True,139.4,138.6,68.5,pi8_key_t2v_5s_r0_00001_.mp4,
|
||||
2026-08-06T06:19:01Z,pi8_key_t2v_5s_r1,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,62.9,62.1,68.5,pi8_key_t2v_5s_r1_00001_.mp4,
|
||||
2026-08-06T06:20:05Z,pi8_key_t2v_5s_r2,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,64.7,62.6,68.5,pi8_key_t2v_5s_r2_00001_.mp4,
|
||||
2026-08-06T06:21:14Z,pi8_key_ref2v_1ref_r0,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,False,True,69.1,67.9,67.3,pi8_key_ref2v_1ref_r0_00001_.mp4,
|
||||
2026-08-06T06:22:21Z,pi8_key_ref2v_1ref_r1,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,66.9,66.5,66.9,pi8_key_ref2v_1ref_r1_00001_.mp4,
|
||||
2026-08-06T06:23:28Z,pi8_key_ref2v_1ref_r2,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,66.8,66.3,67.6,pi8_key_ref2v_1ref_r2_00001_.mp4,
|
||||
2026-08-06T06:25:14Z,pi8_key_ref2v_8ref_r0,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,106.4,104.1,66.3,pi8_key_ref2v_8ref_r0_00001_.mp4,
|
||||
2026-08-06T06:26:50Z,pi8_key_ref2v_8ref_r1,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,95.8,93.8,65.5,pi8_key_ref2v_8ref_r1_00001_.mp4,
|
||||
2026-08-06T06:28:27Z,pi8_key_ref2v_8ref_r2,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,96.7,94.7,66.2,pi8_key_ref2v_8ref_r2_00001_.mp4,
|
||||
2026-08-06T06:32:56Z,pi8_key_t2v_15s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,15,362,20,res_multistep,simple,match,1,True,True,269.0,268.5,75.1,pi8_key_t2v_15s_00001_.mp4,
|
||||
2026-08-06T06:36:12Z,pi8_key_t2v_1344,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,1,True,True,196.0,193.7,73.2,pi8_key_t2v_1344_00001_.mp4,
|
||||
2026-08-06T06:49:19Z,pi8_key_ref2v_8ref_max,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,8,True,True,787.5,786.8,88.7,pi8_key_ref2v_8ref_max_00001_.mp4,
|
||||
2026-08-06T06:50:28Z,pi8_refheavy_1ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,68.7,67.0,68.0,pi8_refheavy_1ref_match_00001_.mp4,
|
||||
2026-08-06T06:51:52Z,pi8_refheavy_4ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,4,True,True,83.8,82.3,68.7,pi8_refheavy_4ref_match_00001_.mp4,
|
||||
2026-08-06T06:53:51Z,pi8_refheavy_8ref_match,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,119.0,116.9,67.8,pi8_refheavy_8ref_match_00001_.mp4,
|
||||
2026-08-06T06:55:48Z,pi8_refheavy_4ref_max,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,4,True,True,116.6,115.1,69.7,pi8_refheavy_4ref_max_00001_.mp4,
|
||||
2026-08-06T07:11:31Z,pi8_refheavy_8ref_max,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,8,True,True,943.2,942.6,92.1,pi8_refheavy_8ref_max_00001_.mp4,
|
||||
2026-08-06T07:17:07Z,pi8_refheavy_8ref_match_1344,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,8,True,True,336.1,335.6,76.7,pi8_refheavy_8ref_match_1344_00001_.mp4,
|
||||
2026-08-06T07:30:11Z,i8_key_t2v_5s_r0,t2v,minimax_h3_fl2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,False,True,287.6,287.2,55.7,i8_key_t2v_5s_r0_00001_.mp4,
|
||||
2026-08-06T07:31:16Z,i8_key_t2v_5s_r1,t2v,minimax_h3_fl2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,64.9,62.8,59.1,i8_key_t2v_5s_r1_00001_.mp4,
|
||||
2026-08-06T07:32:19Z,i8_key_t2v_5s_r2,t2v,minimax_h3_fl2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,62.9,62.6,59.1,i8_key_t2v_5s_r2_00001_.mp4,
|
||||
2026-08-06T07:35:39Z,i8_key_ref2v_1ref_r0,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,False,True,199.7,198.2,94.4,i8_key_ref2v_1ref_r0_00001_.mp4,
|
||||
2026-08-06T07:36:48Z,i8_key_ref2v_1ref_r1,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,69.0,67.7,94.5,i8_key_ref2v_1ref_r1_00001_.mp4,
|
||||
2026-08-06T07:37:57Z,i8_key_ref2v_1ref_r2,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,68.9,67.3,94.9,i8_key_ref2v_1ref_r2_00001_.mp4,
|
||||
2026-08-06T07:39:47Z,i8_key_ref2v_8ref_r0,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,110.5,109.3,96.3,i8_key_ref2v_8ref_r0_00001_.mp4,
|
||||
2026-08-06T07:41:25Z,i8_key_ref2v_8ref_r1,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,98.2,96.0,96.0,i8_key_ref2v_8ref_r1_00001_.mp4,
|
||||
2026-08-06T07:43:03Z,i8_key_ref2v_8ref_r2,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,97.9,95.7,93.6,i8_key_ref2v_8ref_r2_00001_.mp4,
|
||||
2026-08-06T07:47:34Z,i8_key_t2v_15s,t2v,minimax_h3_fl2va_int8_convrot.safetensors,864,480,15,362,20,res_multistep,simple,match,1,True,True,270.7,269.8,101.2,i8_key_t2v_15s_00001_.mp4,
|
||||
2026-08-06T07:50:52Z,i8_key_t2v_1344,t2v,minimax_h3_fl2va_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,1,True,True,197.9,196.8,99.1,i8_key_t2v_1344_00001_.mp4,
|
||||
2026-08-06T08:06:38Z,i8_key_ref2v_8ref_max,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,8,True,True,945.8,944.5,112.0,i8_key_ref2v_8ref_max_00001_.mp4,
|
||||
2026-08-06T08:07:46Z,i8_refheavy_1ref_match,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,68.8,67.8,92.8,i8_refheavy_1ref_match_00001_.mp4,
|
||||
2026-08-06T08:09:14Z,i8_refheavy_4ref_match,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,4,True,True,87.7,85.7,95.1,i8_refheavy_4ref_match_00001_.mp4,
|
||||
2026-08-06T08:10:50Z,i8_refheavy_8ref_match,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,95.9,94.0,95.6,i8_refheavy_8ref_match_00001_.mp4,
|
||||
2026-08-06T08:12:49Z,i8_refheavy_4ref_max,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,4,True,True,118.7,117.4,96.4,i8_refheavy_4ref_max_00001_.mp4,
|
||||
2026-08-06T08:26:46Z,i8_refheavy_8ref_max,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,8,True,True,837.4,836.9,112.5,i8_refheavy_8ref_max_00001_.mp4,
|
||||
2026-08-06T08:32:23Z,i8_refheavy_8ref_match_1344,ref2v,minimax_h3_ref2va_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,8,True,True,336.8,335.1,102.7,i8_refheavy_8ref_match_1344_00001_.mp4,
|
||||
2026-08-06T08:37:00Z,b16_key_t2v_5s_r0,t2v,minimax_h3_fl2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,1,False,True,276.6,275.7,158.5,b16_key_t2v_5s_r0_00001_.mp4,
|
||||
2026-08-06T08:37:52Z,b16_key_t2v_5s_r1,t2v,minimax_h3_fl2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,52.4,50.9,158.6,b16_key_t2v_5s_r1_00001_.mp4,
|
||||
2026-08-06T08:38:45Z,b16_key_t2v_5s_r2,t2v,minimax_h3_fl2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,52.4,51.7,159.1,b16_key_t2v_5s_r2_00001_.mp4,
|
||||
2026-08-06T08:43:34Z,b16_key_ref2v_1ref_r0,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,1,False,True,289.2,287.0,187.1,b16_key_ref2v_1ref_r0_00001_.mp4,
|
||||
2026-08-06T08:44:28Z,b16_key_ref2v_1ref_r1,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,54.6,54.0,185.4,b16_key_ref2v_1ref_r1_00001_.mp4,
|
||||
2026-08-06T08:45:23Z,b16_key_ref2v_1ref_r2,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,54.3,53.9,185.7,b16_key_ref2v_1ref_r2_00001_.mp4,
|
||||
2026-08-06T08:46:42Z,b16_key_ref2v_8ref_r0,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,79.3,78.9,184.8,b16_key_ref2v_8ref_r0_00001_.mp4,
|
||||
2026-08-06T08:47:59Z,b16_key_ref2v_8ref_r1,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,77.4,76.9,184.7,b16_key_ref2v_8ref_r1_00001_.mp4,
|
||||
2026-08-06T08:49:19Z,b16_key_ref2v_8ref_r2,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,79.6,79.1,184.7,b16_key_ref2v_8ref_r2_00001_.mp4,
|
||||
2026-08-06T08:53:21Z,b16_key_t2v_15s,t2v,minimax_h3_fl2va_bf16.safetensors,864,480,15,362,20,res_multistep,simple,match,1,True,True,242.0,240.3,181.9,b16_key_t2v_15s_00001_.mp4,
|
||||
2026-08-06T08:56:11Z,b16_key_t2v_1344,t2v,minimax_h3_fl2va_bf16.safetensors,1344,768,5,124,20,res_multistep,simple,match,1,True,True,170.5,168.9,177.1,b16_key_t2v_1344_00001_.mp4,
|
||||
2026-08-06T09:09:18Z,b16_key_ref2v_8ref_max,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,max,8,True,True,786.9,785.7,177.4,b16_key_ref2v_8ref_max_00001_.mp4,
|
||||
2026-08-06T09:10:13Z,b16_refheavy_1ref_match,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,1,True,True,54.5,54.1,153.0,b16_refheavy_1ref_match_00001_.mp4,
|
||||
2026-08-06T09:11:18Z,b16_refheavy_4ref_match,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,4,True,True,64.6,62.8,154.4,b16_refheavy_4ref_match_00001_.mp4,
|
||||
2026-08-06T09:12:39Z,b16_refheavy_8ref_match,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,match,8,True,True,81.3,79.6,153.9,b16_refheavy_8ref_match_00001_.mp4,
|
||||
2026-08-06T09:14:11Z,b16_refheavy_4ref_max,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,max,4,True,True,91.7,90.8,155.5,b16_refheavy_4ref_max_00001_.mp4,
|
||||
2026-08-06T09:27:16Z,b16_refheavy_8ref_max,ref2v,minimax_h3_ref2va_bf16.safetensors,864,480,5,124,20,res_multistep,simple,max,8,True,True,785.5,783.9,163.9,b16_refheavy_8ref_max_00001_.mp4,
|
||||
2026-08-06T09:31:59Z,b16_refheavy_8ref_match_1344,ref2v,minimax_h3_ref2va_bf16.safetensors,1344,768,5,124,20,res_multistep,simple,match,8,True,True,282.9,282.4,157.8,b16_refheavy_8ref_match_1344_00001_.mp4,
|
||||
|
||||
|
@@ -21,3 +21,63 @@
|
||||
{"label": "prunedint8_sweep_t2v_608x352_5s_clean", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 608, "height": 352, "seconds": 5.0, "length": 124, "steps": 20, "seed": 2, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_ref_1344x768.png", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/prunedint8_sweep_t2v_608x352_5s_clean", "ok": true, "status": "success", "wall_s": 34.2, "exec_s": 32.5, "peak_vram_gb": 64.8, "outputs": ["prunedint8_sweep_t2v_608x352_5s_clean_00001_.mp4"], "error": null, "ts": "2026-08-06T05:33:30Z"}
|
||||
{"label": "prunedint8_refheavy_1ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_ref_1344x768.png", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/prunedint8_refheavy_1ref_match", "ok": true, "status": "success", "wall_s": 67.5, "exec_s": 65.8, "peak_vram_gb": 68.1, "outputs": ["prunedint8_refheavy_1ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T05:34:38Z"}
|
||||
{"label": "prunedint8_refheavy_4ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage that travels through the 4 city scenes from <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4> in order, crossfading between their times of day and color moods, camera drifting forward the whole time, ambient city sounds evolving with each scene.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_ref_1344x768.png", "ref_image_size": "match", "ref_count": 4, "warm": true, "filename_prefix": "bench/prunedint8_refheavy_4ref_match", "ok": true, "status": "success", "wall_s": 84.5, "exec_s": 83.0, "peak_vram_gb": 69.5, "outputs": ["prunedint8_refheavy_4ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T05:36:02Z"}
|
||||
{"label": "prunedint8_refheavy_1ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_ref_1344x768.png", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/prunedint8_refheavy_1ref_match", "ok": true, "status": "success", "wall_s": 249.1, "exec_s": 248.3, "peak_vram_gb": 43.9, "outputs": ["prunedint8_refheavy_1ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T06:02:12Z"}
|
||||
{"label": "prunedint8_refheavy_4ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage that travels through the 4 city scenes from <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4> in order, crossfading between their times of day and color moods, camera drifting forward the whole time, ambient city sounds evolving with each scene.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_ref_1344x768.png", "ref_image_size": "match", "ref_count": 4, "warm": true, "filename_prefix": "bench/prunedint8_refheavy_4ref_match", "ok": true, "status": "success", "wall_s": 79.4, "exec_s": 78.7, "peak_vram_gb": 48.3, "outputs": ["prunedint8_refheavy_4ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T06:03:31Z"}
|
||||
{"label": "prunedint8_refheavy_8ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage that travels through the 8 city scenes from <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8> in order, crossfading between their times of day and color moods, camera drifting forward the whole time, ambient city sounds evolving with each scene.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_ref_1344x768.png", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/prunedint8_refheavy_8ref_match", "ok": true, "status": "success", "wall_s": 103.0, "exec_s": 101.1, "peak_vram_gb": 44.8, "outputs": ["prunedint8_refheavy_8ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T06:05:14Z"}
|
||||
{"label": "prunedint8_refheavy_4ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage that travels through the 4 city scenes from <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4> in order, crossfading between their times of day and color moods, camera drifting forward the whole time, ambient city sounds evolving with each scene.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_ref_1344x768.png", "ref_image_size": "max", "ref_count": 4, "warm": true, "filename_prefix": "bench/prunedint8_refheavy_4ref_max", "ok": true, "status": "success", "wall_s": 108.9, "exec_s": 108.4, "peak_vram_gb": 48.4, "outputs": ["prunedint8_refheavy_4ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T06:07:03Z"}
|
||||
{"label": "prunedint8_refheavy_8ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage that travels through the 8 city scenes from <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8> in order, crossfading between their times of day and color moods, camera drifting forward the whole time, ambient city sounds evolving with each scene.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_ref_1344x768.png", "ref_image_size": "max", "ref_count": 8, "warm": true, "filename_prefix": "bench/prunedint8_refheavy_8ref_max", "ok": true, "status": "success", "wall_s": 167.2, "exec_s": 165.1, "peak_vram_gb": 48.8, "outputs": ["prunedint8_refheavy_8ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T06:09:50Z"}
|
||||
{"label": "prunedint8_refheavy_8ref_match_1344", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage that travels through the 8 city scenes from <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8> in order, crossfading between their times of day and color moods, camera drifting forward the whole time, ambient city sounds evolving with each scene.", "width": 1344, "height": 768, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_ref_1344x768.png", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/prunedint8_refheavy_8ref_match_1344", "ok": true, "status": "success", "wall_s": 343.6, "exec_s": 342.5, "peak_vram_gb": 55.6, "outputs": ["prunedint8_refheavy_8ref_match_1344_00001_.mp4"], "error": null, "ts": "2026-08-06T06:15:34Z"}
|
||||
{"label": "pi8_key_t2v_5s_r0", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/pi8_key_t2v_5s_r0", "ok": true, "status": "success", "wall_s": 139.4, "exec_s": 138.6, "peak_vram_gb": 68.5, "outputs": ["pi8_key_t2v_5s_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T06:17:58Z"}
|
||||
{"label": "pi8_key_t2v_5s_r1", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/pi8_key_t2v_5s_r1", "ok": true, "status": "success", "wall_s": 62.9, "exec_s": 62.1, "peak_vram_gb": 68.5, "outputs": ["pi8_key_t2v_5s_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T06:19:01Z"}
|
||||
{"label": "pi8_key_t2v_5s_r2", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/pi8_key_t2v_5s_r2", "ok": true, "status": "success", "wall_s": 64.7, "exec_s": 62.6, "peak_vram_gb": 68.5, "outputs": ["pi8_key_t2v_5s_r2_00001_.mp4"], "error": null, "ts": "2026-08-06T06:20:05Z"}
|
||||
{"label": "pi8_key_ref2v_1ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/pi8_key_ref2v_1ref_r0", "ok": true, "status": "success", "wall_s": 69.1, "exec_s": 67.9, "peak_vram_gb": 67.3, "outputs": ["pi8_key_ref2v_1ref_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T06:21:14Z"}
|
||||
{"label": "pi8_key_ref2v_1ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/pi8_key_ref2v_1ref_r1", "ok": true, "status": "success", "wall_s": 66.9, "exec_s": 66.5, "peak_vram_gb": 66.9, "outputs": ["pi8_key_ref2v_1ref_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T06:22:21Z"}
|
||||
{"label": "pi8_key_ref2v_1ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/pi8_key_ref2v_1ref_r2", "ok": true, "status": "success", "wall_s": 66.8, "exec_s": 66.3, "peak_vram_gb": 67.6, "outputs": ["pi8_key_ref2v_1ref_r2_00001_.mp4"], "error": null, "ts": "2026-08-06T06:23:28Z"}
|
||||
{"label": "pi8_key_ref2v_8ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage that travels through the 8 city scenes from <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8> in order, crossfading between their times of day and color moods, camera drifting forward the whole time, ambient city sounds evolving with each scene.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/pi8_key_ref2v_8ref_r0", "ok": true, "status": "success", "wall_s": 106.4, "exec_s": 104.1, "peak_vram_gb": 66.3, "outputs": ["pi8_key_ref2v_8ref_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T06:25:14Z"}
|
||||
{"label": "pi8_key_ref2v_8ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage that travels through the 8 city scenes from <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8> in order, crossfading between their times of day and color moods, camera drifting forward the whole time, ambient city sounds evolving with each scene.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/pi8_key_ref2v_8ref_r1", "ok": true, "status": "success", "wall_s": 95.8, "exec_s": 93.8, "peak_vram_gb": 65.5, "outputs": ["pi8_key_ref2v_8ref_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T06:26:50Z"}
|
||||
{"label": "pi8_key_ref2v_8ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage that travels through the 8 city scenes from <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8> in order, crossfading between their times of day and color moods, camera drifting forward the whole time, ambient city sounds evolving with each scene.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/pi8_key_ref2v_8ref_r2", "ok": true, "status": "success", "wall_s": 96.7, "exec_s": 94.7, "peak_vram_gb": 66.2, "outputs": ["pi8_key_ref2v_8ref_r2_00001_.mp4"], "error": null, "ts": "2026-08-06T06:28:27Z"}
|
||||
{"label": "pi8_key_t2v_15s", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 15, "length": 362, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/pi8_key_t2v_15s", "ok": true, "status": "success", "wall_s": 269.0, "exec_s": 268.5, "peak_vram_gb": 75.1, "outputs": ["pi8_key_t2v_15s_00001_.mp4"], "error": null, "ts": "2026-08-06T06:32:56Z"}
|
||||
{"label": "pi8_key_t2v_1344", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 1344, "height": 768, "seconds": 5, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/pi8_key_t2v_1344", "ok": true, "status": "success", "wall_s": 196.0, "exec_s": 193.7, "peak_vram_gb": 73.2, "outputs": ["pi8_key_t2v_1344_00001_.mp4"], "error": null, "ts": "2026-08-06T06:36:12Z"}
|
||||
{"label": "pi8_key_ref2v_8ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage that travels through the 8 city scenes from <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8> in order, crossfading between their times of day and color moods, camera drifting forward the whole time, ambient city sounds evolving with each scene.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench_movie_01.jpg", "ref_image_size": "max", "ref_count": 8, "warm": true, "filename_prefix": "bench/pi8_key_ref2v_8ref_max", "ok": true, "status": "success", "wall_s": 787.5, "exec_s": 786.8, "peak_vram_gb": 88.7, "outputs": ["pi8_key_ref2v_8ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T06:49:19Z"}
|
||||
{"label": "pi8_refheavy_1ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/pi8_refheavy_1ref_match", "ok": true, "status": "success", "wall_s": 68.7, "exec_s": 67.0, "peak_vram_gb": 68.0, "outputs": ["pi8_refheavy_1ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T06:50:28Z"}
|
||||
{"label": "pi8_refheavy_4ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 4, "warm": true, "filename_prefix": "bench/pi8_refheavy_4ref_match", "ok": true, "status": "success", "wall_s": 83.8, "exec_s": 82.3, "peak_vram_gb": 68.7, "outputs": ["pi8_refheavy_4ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T06:51:52Z"}
|
||||
{"label": "pi8_refheavy_8ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/pi8_refheavy_8ref_match", "ok": true, "status": "success", "wall_s": 119.0, "exec_s": 116.9, "peak_vram_gb": 67.8, "outputs": ["pi8_refheavy_8ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T06:53:51Z"}
|
||||
{"label": "pi8_refheavy_4ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 4, "warm": true, "filename_prefix": "bench/pi8_refheavy_4ref_max", "ok": true, "status": "success", "wall_s": 116.6, "exec_s": 115.1, "peak_vram_gb": 69.7, "outputs": ["pi8_refheavy_4ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T06:55:48Z"}
|
||||
{"label": "pi8_refheavy_8ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 8, "warm": true, "filename_prefix": "bench/pi8_refheavy_8ref_max", "ok": true, "status": "success", "wall_s": 943.2, "exec_s": 942.6, "peak_vram_gb": 92.1, "outputs": ["pi8_refheavy_8ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T07:11:31Z"}
|
||||
{"label": "pi8_refheavy_8ref_match_1344", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 1344, "height": 768, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/pi8_refheavy_8ref_match_1344", "ok": true, "status": "success", "wall_s": 336.1, "exec_s": 335.6, "peak_vram_gb": 76.7, "outputs": ["pi8_refheavy_8ref_match_1344_00001_.mp4"], "error": null, "ts": "2026-08-06T07:17:07Z"}
|
||||
{"label": "i8_key_t2v_5s_r0", "task": "t2v", "model_file": "minimax_h3_fl2va_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/i8_key_t2v_5s_r0", "ok": true, "status": "success", "wall_s": 287.6, "exec_s": 287.2, "peak_vram_gb": 55.7, "outputs": ["i8_key_t2v_5s_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T07:30:11Z"}
|
||||
{"label": "i8_key_t2v_5s_r1", "task": "t2v", "model_file": "minimax_h3_fl2va_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/i8_key_t2v_5s_r1", "ok": true, "status": "success", "wall_s": 64.9, "exec_s": 62.8, "peak_vram_gb": 59.1, "outputs": ["i8_key_t2v_5s_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T07:31:16Z"}
|
||||
{"label": "i8_key_t2v_5s_r2", "task": "t2v", "model_file": "minimax_h3_fl2va_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/i8_key_t2v_5s_r2", "ok": true, "status": "success", "wall_s": 62.9, "exec_s": 62.6, "peak_vram_gb": 59.1, "outputs": ["i8_key_t2v_5s_r2_00001_.mp4"], "error": null, "ts": "2026-08-06T07:32:19Z"}
|
||||
{"label": "i8_key_ref2v_1ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/i8_key_ref2v_1ref_r0", "ok": true, "status": "success", "wall_s": 199.7, "exec_s": 198.2, "peak_vram_gb": 94.4, "outputs": ["i8_key_ref2v_1ref_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T07:35:39Z"}
|
||||
{"label": "i8_key_ref2v_1ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/i8_key_ref2v_1ref_r1", "ok": true, "status": "success", "wall_s": 69.0, "exec_s": 67.7, "peak_vram_gb": 94.5, "outputs": ["i8_key_ref2v_1ref_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T07:36:48Z"}
|
||||
{"label": "i8_key_ref2v_1ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/i8_key_ref2v_1ref_r2", "ok": true, "status": "success", "wall_s": 68.9, "exec_s": 67.3, "peak_vram_gb": 94.9, "outputs": ["i8_key_ref2v_1ref_r2_00001_.mp4"], "error": null, "ts": "2026-08-06T07:37:57Z"}
|
||||
{"label": "i8_key_ref2v_8ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/i8_key_ref2v_8ref_r0", "ok": true, "status": "success", "wall_s": 110.5, "exec_s": 109.3, "peak_vram_gb": 96.3, "outputs": ["i8_key_ref2v_8ref_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T07:39:47Z"}
|
||||
{"label": "i8_key_ref2v_8ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/i8_key_ref2v_8ref_r1", "ok": true, "status": "success", "wall_s": 98.2, "exec_s": 96.0, "peak_vram_gb": 96.0, "outputs": ["i8_key_ref2v_8ref_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T07:41:25Z"}
|
||||
{"label": "i8_key_ref2v_8ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/i8_key_ref2v_8ref_r2", "ok": true, "status": "success", "wall_s": 97.9, "exec_s": 95.7, "peak_vram_gb": 93.6, "outputs": ["i8_key_ref2v_8ref_r2_00001_.mp4"], "error": null, "ts": "2026-08-06T07:43:03Z"}
|
||||
{"label": "i8_key_t2v_15s", "task": "t2v", "model_file": "minimax_h3_fl2va_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 15, "length": 362, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/i8_key_t2v_15s", "ok": true, "status": "success", "wall_s": 270.7, "exec_s": 269.8, "peak_vram_gb": 101.2, "outputs": ["i8_key_t2v_15s_00001_.mp4"], "error": null, "ts": "2026-08-06T07:47:34Z"}
|
||||
{"label": "i8_key_t2v_1344", "task": "t2v", "model_file": "minimax_h3_fl2va_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 1344, "height": 768, "seconds": 5, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/i8_key_t2v_1344", "ok": true, "status": "success", "wall_s": 197.9, "exec_s": 196.8, "peak_vram_gb": 99.1, "outputs": ["i8_key_t2v_1344_00001_.mp4"], "error": null, "ts": "2026-08-06T07:50:52Z"}
|
||||
{"label": "i8_key_ref2v_8ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 8, "warm": true, "filename_prefix": "bench/i8_key_ref2v_8ref_max", "ok": true, "status": "success", "wall_s": 945.8, "exec_s": 944.5, "peak_vram_gb": 112.0, "outputs": ["i8_key_ref2v_8ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T08:06:38Z"}
|
||||
{"label": "i8_refheavy_1ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/i8_refheavy_1ref_match", "ok": true, "status": "success", "wall_s": 68.8, "exec_s": 67.8, "peak_vram_gb": 92.8, "outputs": ["i8_refheavy_1ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T08:07:46Z"}
|
||||
{"label": "i8_refheavy_4ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 4, "warm": true, "filename_prefix": "bench/i8_refheavy_4ref_match", "ok": true, "status": "success", "wall_s": 87.7, "exec_s": 85.7, "peak_vram_gb": 95.1, "outputs": ["i8_refheavy_4ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T08:09:14Z"}
|
||||
{"label": "i8_refheavy_8ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/i8_refheavy_8ref_match", "ok": true, "status": "success", "wall_s": 95.9, "exec_s": 94.0, "peak_vram_gb": 95.6, "outputs": ["i8_refheavy_8ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T08:10:50Z"}
|
||||
{"label": "i8_refheavy_4ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 4, "warm": true, "filename_prefix": "bench/i8_refheavy_4ref_max", "ok": true, "status": "success", "wall_s": 118.7, "exec_s": 117.4, "peak_vram_gb": 96.4, "outputs": ["i8_refheavy_4ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T08:12:49Z"}
|
||||
{"label": "i8_refheavy_8ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 8, "warm": true, "filename_prefix": "bench/i8_refheavy_8ref_max", "ok": true, "status": "success", "wall_s": 837.4, "exec_s": 836.9, "peak_vram_gb": 112.5, "outputs": ["i8_refheavy_8ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T08:26:46Z"}
|
||||
{"label": "i8_refheavy_8ref_match_1344", "task": "ref2v", "model_file": "minimax_h3_ref2va_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 1344, "height": 768, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/i8_refheavy_8ref_match_1344", "ok": true, "status": "success", "wall_s": 336.8, "exec_s": 335.1, "peak_vram_gb": 102.7, "outputs": ["i8_refheavy_8ref_match_1344_00001_.mp4"], "error": null, "ts": "2026-08-06T08:32:23Z"}
|
||||
{"label": "b16_key_t2v_5s_r0", "task": "t2v", "model_file": "minimax_h3_fl2va_bf16.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/b16_key_t2v_5s_r0", "ok": true, "status": "success", "wall_s": 276.6, "exec_s": 275.7, "peak_vram_gb": 158.5, "outputs": ["b16_key_t2v_5s_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T08:37:00Z"}
|
||||
{"label": "b16_key_t2v_5s_r1", "task": "t2v", "model_file": "minimax_h3_fl2va_bf16.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/b16_key_t2v_5s_r1", "ok": true, "status": "success", "wall_s": 52.4, "exec_s": 50.9, "peak_vram_gb": 158.6, "outputs": ["b16_key_t2v_5s_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T08:37:52Z"}
|
||||
{"label": "b16_key_t2v_5s_r2", "task": "t2v", "model_file": "minimax_h3_fl2va_bf16.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/b16_key_t2v_5s_r2", "ok": true, "status": "success", "wall_s": 52.4, "exec_s": 51.7, "peak_vram_gb": 159.1, "outputs": ["b16_key_t2v_5s_r2_00001_.mp4"], "error": null, "ts": "2026-08-06T08:38:45Z"}
|
||||
{"label": "b16_key_ref2v_1ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/b16_key_ref2v_1ref_r0", "ok": true, "status": "success", "wall_s": 289.2, "exec_s": 287.0, "peak_vram_gb": 187.1, "outputs": ["b16_key_ref2v_1ref_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T08:43:34Z"}
|
||||
{"label": "b16_key_ref2v_1ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/b16_key_ref2v_1ref_r1", "ok": true, "status": "success", "wall_s": 54.6, "exec_s": 54.0, "peak_vram_gb": 185.4, "outputs": ["b16_key_ref2v_1ref_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T08:44:28Z"}
|
||||
{"label": "b16_key_ref2v_1ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/b16_key_ref2v_1ref_r2", "ok": true, "status": "success", "wall_s": 54.3, "exec_s": 53.9, "peak_vram_gb": 185.7, "outputs": ["b16_key_ref2v_1ref_r2_00001_.mp4"], "error": null, "ts": "2026-08-06T08:45:23Z"}
|
||||
{"label": "b16_key_ref2v_8ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/b16_key_ref2v_8ref_r0", "ok": true, "status": "success", "wall_s": 79.3, "exec_s": 78.9, "peak_vram_gb": 184.8, "outputs": ["b16_key_ref2v_8ref_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T08:46:42Z"}
|
||||
{"label": "b16_key_ref2v_8ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/b16_key_ref2v_8ref_r1", "ok": true, "status": "success", "wall_s": 77.4, "exec_s": 76.9, "peak_vram_gb": 184.7, "outputs": ["b16_key_ref2v_8ref_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T08:47:59Z"}
|
||||
{"label": "b16_key_ref2v_8ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/b16_key_ref2v_8ref_r2", "ok": true, "status": "success", "wall_s": 79.6, "exec_s": 79.1, "peak_vram_gb": 184.7, "outputs": ["b16_key_ref2v_8ref_r2_00001_.mp4"], "error": null, "ts": "2026-08-06T08:49:19Z"}
|
||||
{"label": "b16_key_t2v_15s", "task": "t2v", "model_file": "minimax_h3_fl2va_bf16.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 15, "length": 362, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/b16_key_t2v_15s", "ok": true, "status": "success", "wall_s": 242.0, "exec_s": 240.3, "peak_vram_gb": 181.9, "outputs": ["b16_key_t2v_15s_00001_.mp4"], "error": null, "ts": "2026-08-06T08:53:21Z"}
|
||||
{"label": "b16_key_t2v_1344", "task": "t2v", "model_file": "minimax_h3_fl2va_bf16.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 1344, "height": 768, "seconds": 5, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/b16_key_t2v_1344", "ok": true, "status": "success", "wall_s": 170.5, "exec_s": 168.9, "peak_vram_gb": 177.1, "outputs": ["b16_key_t2v_1344_00001_.mp4"], "error": null, "ts": "2026-08-06T08:56:11Z"}
|
||||
{"label": "b16_key_ref2v_8ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 8, "warm": true, "filename_prefix": "bench/b16_key_ref2v_8ref_max", "ok": true, "status": "success", "wall_s": 786.9, "exec_s": 785.7, "peak_vram_gb": 177.4, "outputs": ["b16_key_ref2v_8ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T09:09:18Z"}
|
||||
{"label": "b16_refheavy_1ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/b16_refheavy_1ref_match", "ok": true, "status": "success", "wall_s": 54.5, "exec_s": 54.1, "peak_vram_gb": 153.0, "outputs": ["b16_refheavy_1ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T09:10:13Z"}
|
||||
{"label": "b16_refheavy_4ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 4, "warm": true, "filename_prefix": "bench/b16_refheavy_4ref_match", "ok": true, "status": "success", "wall_s": 64.6, "exec_s": 62.8, "peak_vram_gb": 154.4, "outputs": ["b16_refheavy_4ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T09:11:18Z"}
|
||||
{"label": "b16_refheavy_8ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/b16_refheavy_8ref_match", "ok": true, "status": "success", "wall_s": 81.3, "exec_s": 79.6, "peak_vram_gb": 153.9, "outputs": ["b16_refheavy_8ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T09:12:39Z"}
|
||||
{"label": "b16_refheavy_4ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 4, "warm": true, "filename_prefix": "bench/b16_refheavy_4ref_max", "ok": true, "status": "success", "wall_s": 91.7, "exec_s": 90.8, "peak_vram_gb": 155.5, "outputs": ["b16_refheavy_4ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T09:14:11Z"}
|
||||
{"label": "b16_refheavy_8ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 8, "warm": true, "filename_prefix": "bench/b16_refheavy_8ref_max", "ok": true, "status": "success", "wall_s": 785.5, "exec_s": 783.9, "peak_vram_gb": 163.9, "outputs": ["b16_refheavy_8ref_max_00001_.mp4"], "error": null, "ts": "2026-08-06T09:27:16Z"}
|
||||
{"label": "b16_refheavy_8ref_match_1344", "task": "ref2v", "model_file": "minimax_h3_ref2va_bf16.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 1344, "height": 768, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/b16_refheavy_8ref_match_1344", "ok": true, "status": "success", "wall_s": 282.9, "exec_s": 282.4, "peak_vram_gb": 157.8, "outputs": ["b16_refheavy_8ref_match_1344_00001_.mp4"], "error": null, "ts": "2026-08-06T09:31:59Z"}
|
||||
|
||||
@@ -0,0 +1,113 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Summarize benchmark results across GPUs and weight families.
|
||||
|
||||
Reads bench/results.csv (B200) plus bench/4090/results.csv and
|
||||
bench/4000/results.csv when present, groups repeated configs, and prints
|
||||
mean +/- spread tables (markdown, padded columns) for docs/BENCHMARKS.md.
|
||||
"""
|
||||
import csv
|
||||
import json
|
||||
import statistics
|
||||
from collections import defaultdict
|
||||
from pathlib import Path
|
||||
|
||||
HERE = Path(__file__).parent
|
||||
|
||||
SOURCES = [
|
||||
("B200", HERE / "results.csv"),
|
||||
("RTX 4090", HERE / "4090" / "results.csv"),
|
||||
("RTX PRO 4000", HERE / "4000" / "results.csv"),
|
||||
]
|
||||
|
||||
FAMILY_PREFIXES = [
|
||||
("pi8", "pruned int8"), ("i8", "int8"), ("b16", "bf16"),
|
||||
("prunedint8", "pruned int8"), ("int8", "int8"), ("bf16", "bf16"),
|
||||
("g4090_pi8", "pruned int8"), ("g4000_pi8", "pruned int8"),
|
||||
]
|
||||
|
||||
|
||||
def family_of(row):
|
||||
m = row["model_file"]
|
||||
if "pruned" in m:
|
||||
return "pruned int8"
|
||||
if "int8" in m:
|
||||
return "int8"
|
||||
if "bf16" in m:
|
||||
return "bf16"
|
||||
return m
|
||||
|
||||
|
||||
def load(path):
|
||||
jl = path.with_suffix(".jsonl")
|
||||
if jl.exists():
|
||||
rows = [json.loads(l) for l in jl.open() if l.strip()]
|
||||
return [{k: str(v) if v is not None else "" for k, v in r.items()}
|
||||
for r in rows if r.get("ok") is True]
|
||||
if not path.exists():
|
||||
return []
|
||||
return [r for r in csv.DictReader(path.open()) if r.get("ok") == "True"]
|
||||
|
||||
|
||||
def key_of(row):
|
||||
return (row["task"], f'{row["width"]}x{row["height"]}', row["seconds"],
|
||||
row.get("ref_count") or "1", row.get("ref_image_size") or "match",
|
||||
row["steps"])
|
||||
|
||||
|
||||
def fmt_stats(vals):
|
||||
if len(vals) == 1:
|
||||
return f"{vals[0]:.0f} s"
|
||||
return f"{statistics.mean(vals):.0f} ± {statistics.stdev(vals):.0f} s (n={len(vals)})"
|
||||
|
||||
|
||||
def pad_table(rows):
|
||||
widths = [max(len(r[c]) for r in rows) for c in range(len(rows[0]))]
|
||||
out = []
|
||||
for i, r in enumerate(rows):
|
||||
out.append("| " + " | ".join(v.ljust(w) for v, w in zip(r, widths)) + " |")
|
||||
if i == 0:
|
||||
out.append("|" + "|".join("-" * (w + 2) for w in widths) + "|")
|
||||
return "\n".join(out)
|
||||
|
||||
|
||||
def main():
|
||||
for gpu, path in SOURCES:
|
||||
rows = load(path)
|
||||
if not rows:
|
||||
continue
|
||||
# group warm runs only (exclude first-load runs marked warm=False)
|
||||
groups = defaultdict(lambda: defaultdict(list))
|
||||
vram = defaultdict(lambda: defaultdict(list))
|
||||
for r in rows:
|
||||
if r.get("warm") == "False":
|
||||
continue
|
||||
fam = family_of(r)
|
||||
try:
|
||||
t = float(r["exec_s"])
|
||||
except (ValueError, TypeError):
|
||||
continue
|
||||
groups[key_of(r)][fam].append(t)
|
||||
try:
|
||||
vram[key_of(r)][fam].append(float(r["peak_vram_gb"]))
|
||||
except (ValueError, TypeError):
|
||||
pass
|
||||
fams = sorted({f for g in groups.values() for f in g},
|
||||
key=lambda f: ["pruned int8", "int8", "bf16"].index(f)
|
||||
if f in ["pruned int8", "int8", "bf16"] else 9)
|
||||
print(f"\n## {gpu}\n")
|
||||
header = ["task", "canvas", "sec", "refs", "sizing"] + \
|
||||
[f"{f} (exec)" for f in fams] + [f"{f} (peak GB)" for f in fams]
|
||||
table = [header]
|
||||
for k in sorted(groups):
|
||||
task, wh, sec, refs, sizing, steps = k
|
||||
row = [task, wh, sec, refs, sizing]
|
||||
for f in fams:
|
||||
row.append(fmt_stats(groups[k][f]) if groups[k][f] else "—")
|
||||
for f in fams:
|
||||
row.append(f"{max(vram[k][f]):.0f}" if vram[k][f] else "—")
|
||||
table.append(row)
|
||||
print(pad_table(table))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user