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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2026-08-06T07:09:10Z,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 "
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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 "
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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"}
|
||||
Reference in New Issue
Block a user