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final: 5090 tables (incl. bf16-streaming), stats tooling covers all 5 datasets

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Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Hanashi
2026-08-06 19:21:16 -04:00
parent 056d5785e7
commit 77524a10e6
16 changed files with 232 additions and 8 deletions
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bench/4090/results.csv
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@@ -42,3 +42,13 @@ ts,label,task,model_file,width,height,seconds,length,steps,sampler,scheduler,ref
2026-08-06T18:35:01Z,g4090b_pi8_refheavy_4ref_max,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,4,True,False,193.0,190.2,22.4,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""db8d48a6-7ce1-441e-b99b-28fac3921c14"", ""timestamp"": 1786041108847}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""db8d48a6-7ce1-441e-b99b-28fac3921c14"", ""timestamp"": 1786041108847}], [""execution_error"", {""prompt_id"": ""db8d48a6-7ce1-441e-b99b-28fac3921c14"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""7"", ""9"", ""23"", ""3"", ""6"", ""22"", ""2"", ""21"", ""5"", ""1"", ""8"", ""20"", ""4""], ""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 \""/Co"
2026-08-06T18:37:33Z,g4090b_pi8_refheavy_8ref_max,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5,124,20,res_multistep,simple,max,8,True,False,152.0,148.9,23.1,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""c0da6de3-a983-435a-b0fa-db9f6e95bd1e"", ""timestamp"": 1786041302473}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""c0da6de3-a983-435a-b0fa-db9f6e95bd1e"", ""timestamp"": 1786041302473}], [""execution_error"", {""prompt_id"": ""c0da6de3-a983-435a-b0fa-db9f6e95bd1e"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ReferenceToVideo"", ""executed"": [""24"", ""23"", ""3"", ""22"", ""26"", ""21"", ""2"", ""25"", ""20"", ""27"", ""4""], ""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 \""/Comfy"
2026-08-06T18:39:35Z,g4090b_pi8_refheavy_8ref_match_1344,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,1344,768,5,124,20,res_multistep,simple,match,8,True,False,122.4,120.8,20.4,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""3cca3ccb-12d6-422f-8ad6-3f7b58e731df"", ""timestamp"": 1786041453629}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""3cca3ccb-12d6-422f-8ad6-3f7b58e731df"", ""timestamp"": 1786041453629}], [""execution_error"", {""prompt_id"": ""3cca3ccb-12d6-422f-8ad6-3f7b58e731df"", ""node_id"": ""5"", ""node_type"": ""MiniMaxH3ReferenceToVideo"", ""executed"": [""24"", ""23"", ""3"", ""22"", ""26"", ""21"", ""2"", ""25"", ""20"", ""27"", ""4""], ""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 \""/Comfy"
2026-08-06T18:42:10Z,g4090b_pi8_key_t2v_15s,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,15.0,362,20,res_multistep,simple,match,1,True,False,154.7,152.4,16.1,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""8b83b0ee-a1a9-4cff-9a4f-685a52a9a63f"", ""timestamp"": 1786041576502}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""8b83b0ee-a1a9-4cff-9a4f-685a52a9a63f"", ""timestamp"": 1786041576503}], [""execution_error"", {""prompt_id"": ""8b83b0ee-a1a9-4cff-9a4f-685a52a9a63f"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""7"", ""9"", ""3"", ""6"", ""1"", ""2"", ""5"", ""8"", ""4""], ""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"
2026-08-06T18:44:49Z,g4090b_pi8_key_t2v_1344,t2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,1344,768,5.0,124,20,res_multistep,simple,match,1,True,False,159.1,156.9,21.9,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""13538f8b-9597-4033-b8a5-2d10c09a5ce4"", ""timestamp"": 1786041731356}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""13538f8b-9597-4033-b8a5-2d10c09a5ce4"", ""timestamp"": 1786041731356}], [""execution_error"", {""prompt_id"": ""13538f8b-9597-4033-b8a5-2d10c09a5ce4"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""7"", ""9"", ""3"", ""6"", ""1"", ""2"", ""5"", ""8"", ""4""], ""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"
2026-08-06T18:51:31Z,g4090b_pi8_key_i2v_5s,i2v,minimax_h3_fl2va_pruned_int8_convrot.safetensors,864,480,5.0,124,20,res_multistep,simple,match,1,True,True,401.7,399.9,22.3,g4090b_pi8_key_i2v_5s_00001_.mp4,
2026-08-06T18:54:43Z,g4090m_4ref_ds020,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5.0,124,20,res_multistep,simple,match,4,True,False,184.8,182.4,20.4,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""863d9ce6-f089-49f6-8473-02a64dd3c009"", ""timestamp"": 1786042299301}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""863d9ce6-f089-49f6-8473-02a64dd3c009"", ""timestamp"": 1786042299302}], [""execution_error"", {""prompt_id"": ""863d9ce6-f089-49f6-8473-02a64dd3c009"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""7"", ""62"", ""9"", ""23"", ""3"", ""20"", ""60"", ""22"", ""2"", ""21"", ""5"", ""1"", ""6"", ""8"", ""61"", ""63"", ""4""], ""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 ^^^^^"
2026-08-06T18:58:00Z,g4090m_8ref_ds020,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5.0,124,20,res_multistep,simple,match,8,True,False,196.7,189.1,20.4,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""8909ca18-6faa-4bcb-b88a-7ed7591fc945"", ""timestamp"": 1786042485213}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""8909ca18-6faa-4bcb-b88a-7ed7591fc945"", ""timestamp"": 1786042485213}], [""execution_error"", {""prompt_id"": ""8909ca18-6faa-4bcb-b88a-7ed7591fc945"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""24"", ""3"", ""60"", ""1"", ""23"", ""20"", ""63"", ""64"", ""62"", ""6"", ""22"", ""26"", ""5"", ""66"", ""25"", ""67"", ""4"", ""7"", ""9"", ""2"", ""21"", ""8"", ""61"", ""65"", ""27""], ""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_inpu"
2026-08-06T19:01:09Z,g4090m_8ref_ds010,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5.0,124,20,res_multistep,simple,match,8,True,False,188.7,186.6,21.8,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""04cdefc3-6321-4394-bb1a-19bce8c3cad4"", ""timestamp"": 1786042681754}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""04cdefc3-6321-4394-bb1a-19bce8c3cad4"", ""timestamp"": 1786042681755}], [""execution_error"", {""prompt_id"": ""04cdefc3-6321-4394-bb1a-19bce8c3cad4"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""24"", ""3"", ""60"", ""1"", ""23"", ""20"", ""63"", ""64"", ""62"", ""6"", ""22"", ""26"", ""5"", ""66"", ""25"", ""67"", ""4"", ""7"", ""9"", ""2"", ""21"", ""8"", ""61"", ""65"", ""27""], ""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_inpu"
2026-08-06T19:04:14Z,g4090m_4ref_ctrl,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5.0,124,20,res_multistep,simple,match,4,True,False,184.6,181.2,21.9,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""c9d4da63-555c-49c5-8631-d9edaeae828e"", ""timestamp"": 1786042871805}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""c9d4da63-555c-49c5-8631-d9edaeae828e"", ""timestamp"": 1786042871805}], [""execution_error"", {""prompt_id"": ""c9d4da63-555c-49c5-8631-d9edaeae828e"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""7"", ""9"", ""23"", ""3"", ""6"", ""22"", ""2"", ""21"", ""5"", ""1"", ""8"", ""20"", ""4""], ""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 \""/Co"
2026-08-06T19:11:52Z,g4090lv_1ref,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5.0,124,20,res_multistep,simple,match,1,False,False,324.2,323.0,21.5,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""f7aa62ff-0fc7-459e-88d6-36bb3426264b"", ""timestamp"": 1786043188351}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""f7aa62ff-0fc7-459e-88d6-36bb3426264b"", ""timestamp"": 1786043188352}], [""execution_error"", {""prompt_id"": ""f7aa62ff-0fc7-459e-88d6-36bb3426264b"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""4"", ""6"", ""1"", ""8"", ""5"", ""7"", ""10"", ""9"", ""3"", ""2""], ""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"
2026-08-06T19:18:09Z,g4090lv_4ref_ds020,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5.0,124,20,res_multistep,simple,match,4,True,False,377.3,374.0,24.9,,"{""status_str"": ""error"", ""completed"": false, ""messages"": [[""execution_start"", {""prompt_id"": ""46b9518b-2650-48e4-a091-cc9391364a2f"", ""timestamp"": 1786043514401}], [""execution_cached"", {""nodes"": [], ""prompt_id"": ""46b9518b-2650-48e4-a091-cc9391364a2f"", ""timestamp"": 1786043514402}], [""execution_error"", {""prompt_id"": ""46b9518b-2650-48e4-a091-cc9391364a2f"", ""node_id"": ""11"", ""node_type"": ""SamplerCustomAdvanced"", ""executed"": [""4"", ""22"", ""6"", ""21"", ""60"", ""5"", ""23"", ""1"", ""20"", ""7"", ""8"", ""62"", ""9"", ""63"", ""3"", ""61"", ""2""], ""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 ^^^^^"
2026-08-06T19:20:46Z,g4090lv_8ref_ds020,ref2v,minimax_h3_ref2va_pruned_int8_convrot.safetensors,864,480,5.0,124,20,res_multistep,simple,match,8,True,False,157.0,,5.7,,server unreachable while polling: <urlopen error [Errno 111] Connection refused>
1 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
42 2026-08-06T18:35:01Z g4090b_pi8_refheavy_4ref_max ref2v minimax_h3_ref2va_pruned_int8_convrot.safetensors 864 480 5 124 20 res_multistep simple max 4 True False 193.0 190.2 22.4 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "db8d48a6-7ce1-441e-b99b-28fac3921c14", "timestamp": 1786041108847}], ["execution_cached", {"nodes": [], "prompt_id": "db8d48a6-7ce1-441e-b99b-28fac3921c14", "timestamp": 1786041108847}], ["execution_error", {"prompt_id": "db8d48a6-7ce1-441e-b99b-28fac3921c14", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["7", "9", "23", "3", "6", "22", "2", "21", "5", "1", "8", "20", "4"], "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 \"/Co
43 2026-08-06T18:37:33Z g4090b_pi8_refheavy_8ref_max ref2v minimax_h3_ref2va_pruned_int8_convrot.safetensors 864 480 5 124 20 res_multistep simple max 8 True False 152.0 148.9 23.1 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "c0da6de3-a983-435a-b0fa-db9f6e95bd1e", "timestamp": 1786041302473}], ["execution_cached", {"nodes": [], "prompt_id": "c0da6de3-a983-435a-b0fa-db9f6e95bd1e", "timestamp": 1786041302473}], ["execution_error", {"prompt_id": "c0da6de3-a983-435a-b0fa-db9f6e95bd1e", "node_id": "5", "node_type": "MiniMaxH3ReferenceToVideo", "executed": ["24", "23", "3", "22", "26", "21", "2", "25", "20", "27", "4"], "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 \"/Comfy
44 2026-08-06T18:39:35Z g4090b_pi8_refheavy_8ref_match_1344 ref2v minimax_h3_ref2va_pruned_int8_convrot.safetensors 1344 768 5 124 20 res_multistep simple match 8 True False 122.4 120.8 20.4 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "3cca3ccb-12d6-422f-8ad6-3f7b58e731df", "timestamp": 1786041453629}], ["execution_cached", {"nodes": [], "prompt_id": "3cca3ccb-12d6-422f-8ad6-3f7b58e731df", "timestamp": 1786041453629}], ["execution_error", {"prompt_id": "3cca3ccb-12d6-422f-8ad6-3f7b58e731df", "node_id": "5", "node_type": "MiniMaxH3ReferenceToVideo", "executed": ["24", "23", "3", "22", "26", "21", "2", "25", "20", "27", "4"], "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 \"/Comfy
45 2026-08-06T18:42:10Z g4090b_pi8_key_t2v_15s t2v minimax_h3_fl2va_pruned_int8_convrot.safetensors 864 480 15.0 362 20 res_multistep simple match 1 True False 154.7 152.4 16.1 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "8b83b0ee-a1a9-4cff-9a4f-685a52a9a63f", "timestamp": 1786041576502}], ["execution_cached", {"nodes": [], "prompt_id": "8b83b0ee-a1a9-4cff-9a4f-685a52a9a63f", "timestamp": 1786041576503}], ["execution_error", {"prompt_id": "8b83b0ee-a1a9-4cff-9a4f-685a52a9a63f", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["7", "9", "3", "6", "1", "2", "5", "8", "4"], "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
46 2026-08-06T18:44:49Z g4090b_pi8_key_t2v_1344 t2v minimax_h3_fl2va_pruned_int8_convrot.safetensors 1344 768 5.0 124 20 res_multistep simple match 1 True False 159.1 156.9 21.9 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "13538f8b-9597-4033-b8a5-2d10c09a5ce4", "timestamp": 1786041731356}], ["execution_cached", {"nodes": [], "prompt_id": "13538f8b-9597-4033-b8a5-2d10c09a5ce4", "timestamp": 1786041731356}], ["execution_error", {"prompt_id": "13538f8b-9597-4033-b8a5-2d10c09a5ce4", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["7", "9", "3", "6", "1", "2", "5", "8", "4"], "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
47 2026-08-06T18:51:31Z g4090b_pi8_key_i2v_5s i2v minimax_h3_fl2va_pruned_int8_convrot.safetensors 864 480 5.0 124 20 res_multistep simple match 1 True True 401.7 399.9 22.3 g4090b_pi8_key_i2v_5s_00001_.mp4
48 2026-08-06T18:54:43Z g4090m_4ref_ds020 ref2v minimax_h3_ref2va_pruned_int8_convrot.safetensors 864 480 5.0 124 20 res_multistep simple match 4 True False 184.8 182.4 20.4 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "863d9ce6-f089-49f6-8473-02a64dd3c009", "timestamp": 1786042299301}], ["execution_cached", {"nodes": [], "prompt_id": "863d9ce6-f089-49f6-8473-02a64dd3c009", "timestamp": 1786042299302}], ["execution_error", {"prompt_id": "863d9ce6-f089-49f6-8473-02a64dd3c009", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["7", "62", "9", "23", "3", "20", "60", "22", "2", "21", "5", "1", "6", "8", "61", "63", "4"], "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 ^^^^^
49 2026-08-06T18:58:00Z g4090m_8ref_ds020 ref2v minimax_h3_ref2va_pruned_int8_convrot.safetensors 864 480 5.0 124 20 res_multistep simple match 8 True False 196.7 189.1 20.4 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "8909ca18-6faa-4bcb-b88a-7ed7591fc945", "timestamp": 1786042485213}], ["execution_cached", {"nodes": [], "prompt_id": "8909ca18-6faa-4bcb-b88a-7ed7591fc945", "timestamp": 1786042485213}], ["execution_error", {"prompt_id": "8909ca18-6faa-4bcb-b88a-7ed7591fc945", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["24", "3", "60", "1", "23", "20", "63", "64", "62", "6", "22", "26", "5", "66", "25", "67", "4", "7", "9", "2", "21", "8", "61", "65", "27"], "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_inpu
50 2026-08-06T19:01:09Z g4090m_8ref_ds010 ref2v minimax_h3_ref2va_pruned_int8_convrot.safetensors 864 480 5.0 124 20 res_multistep simple match 8 True False 188.7 186.6 21.8 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "04cdefc3-6321-4394-bb1a-19bce8c3cad4", "timestamp": 1786042681754}], ["execution_cached", {"nodes": [], "prompt_id": "04cdefc3-6321-4394-bb1a-19bce8c3cad4", "timestamp": 1786042681755}], ["execution_error", {"prompt_id": "04cdefc3-6321-4394-bb1a-19bce8c3cad4", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["24", "3", "60", "1", "23", "20", "63", "64", "62", "6", "22", "26", "5", "66", "25", "67", "4", "7", "9", "2", "21", "8", "61", "65", "27"], "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_inpu
51 2026-08-06T19:04:14Z g4090m_4ref_ctrl ref2v minimax_h3_ref2va_pruned_int8_convrot.safetensors 864 480 5.0 124 20 res_multistep simple match 4 True False 184.6 181.2 21.9 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "c9d4da63-555c-49c5-8631-d9edaeae828e", "timestamp": 1786042871805}], ["execution_cached", {"nodes": [], "prompt_id": "c9d4da63-555c-49c5-8631-d9edaeae828e", "timestamp": 1786042871805}], ["execution_error", {"prompt_id": "c9d4da63-555c-49c5-8631-d9edaeae828e", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["7", "9", "23", "3", "6", "22", "2", "21", "5", "1", "8", "20", "4"], "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 \"/Co
52 2026-08-06T19:11:52Z g4090lv_1ref ref2v minimax_h3_ref2va_pruned_int8_convrot.safetensors 864 480 5.0 124 20 res_multistep simple match 1 False False 324.2 323.0 21.5 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "f7aa62ff-0fc7-459e-88d6-36bb3426264b", "timestamp": 1786043188351}], ["execution_cached", {"nodes": [], "prompt_id": "f7aa62ff-0fc7-459e-88d6-36bb3426264b", "timestamp": 1786043188352}], ["execution_error", {"prompt_id": "f7aa62ff-0fc7-459e-88d6-36bb3426264b", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["4", "6", "1", "8", "5", "7", "10", "9", "3", "2"], "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
53 2026-08-06T19:18:09Z g4090lv_4ref_ds020 ref2v minimax_h3_ref2va_pruned_int8_convrot.safetensors 864 480 5.0 124 20 res_multistep simple match 4 True False 377.3 374.0 24.9 {"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "46b9518b-2650-48e4-a091-cc9391364a2f", "timestamp": 1786043514401}], ["execution_cached", {"nodes": [], "prompt_id": "46b9518b-2650-48e4-a091-cc9391364a2f", "timestamp": 1786043514402}], ["execution_error", {"prompt_id": "46b9518b-2650-48e4-a091-cc9391364a2f", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["4", "22", "6", "21", "60", "5", "23", "1", "20", "7", "8", "62", "9", "63", "3", "61", "2"], "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 ^^^^^
54 2026-08-06T19:20:46Z g4090lv_8ref_ds020 ref2v minimax_h3_ref2va_pruned_int8_convrot.safetensors 864 480 5.0 124 20 res_multistep simple match 8 True False 157.0 5.7 server unreachable while polling: <urlopen error [Errno 111] Connection refused>
bench/4090/results.jsonl
+10
View File
@@ -41,3 +41,13 @@
{"label": "g4090b_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/g4090b_pi8_refheavy_4ref_max", "ok": false, "status": "error", "wall_s": 193.0, "exec_s": 190.2, "peak_vram_gb": 22.4, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"db8d48a6-7ce1-441e-b99b-28fac3921c14\", \"timestamp\": 1786041108847}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"db8d48a6-7ce1-441e-b99b-28fac3921c14\", \"timestamp\": 1786041108847}], [\"execution_error\", {\"prompt_id\": \"db8d48a6-7ce1-441e-b99b-28fac3921c14\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"7\", \"9\", \"23\", \"3\", \"6\", \"22\", \"2\", \"21\", \"5\", \"1\", \"8\", \"20\", \"4\"], \"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 \\\"/Co", "ts": "2026-08-06T18:35:01Z"}
{"label": "g4090b_pi8_refheavy_8ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090b_pi8_refheavy_8ref_max", "ok": false, "status": "error", "wall_s": 152.0, "exec_s": 148.9, "peak_vram_gb": 23.1, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"c0da6de3-a983-435a-b0fa-db9f6e95bd1e\", \"timestamp\": 1786041302473}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"c0da6de3-a983-435a-b0fa-db9f6e95bd1e\", \"timestamp\": 1786041302473}], [\"execution_error\", {\"prompt_id\": \"c0da6de3-a983-435a-b0fa-db9f6e95bd1e\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [\"24\", \"23\", \"3\", \"22\", \"26\", \"21\", \"2\", \"25\", \"20\", \"27\", \"4\"], \"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 \\\"/Comfy", "ts": "2026-08-06T18:37:33Z"}
{"label": "g4090b_pi8_refheavy_8ref_match_1344", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 1344, "height": 768, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090b_pi8_refheavy_8ref_match_1344", "ok": false, "status": "error", "wall_s": 122.4, "exec_s": 120.8, "peak_vram_gb": 20.4, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"3cca3ccb-12d6-422f-8ad6-3f7b58e731df\", \"timestamp\": 1786041453629}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"3cca3ccb-12d6-422f-8ad6-3f7b58e731df\", \"timestamp\": 1786041453629}], [\"execution_error\", {\"prompt_id\": \"3cca3ccb-12d6-422f-8ad6-3f7b58e731df\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [\"24\", \"23\", \"3\", \"22\", \"26\", \"21\", \"2\", \"25\", \"20\", \"27\", \"4\"], \"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 \\\"/Comfy", "ts": "2026-08-06T18:39:35Z"}
{"label": "g4090b_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": 15.0, "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/g4090b_pi8_key_t2v_15s", "ok": false, "status": "error", "wall_s": 154.7, "exec_s": 152.4, "peak_vram_gb": 16.1, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"8b83b0ee-a1a9-4cff-9a4f-685a52a9a63f\", \"timestamp\": 1786041576502}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"8b83b0ee-a1a9-4cff-9a4f-685a52a9a63f\", \"timestamp\": 1786041576503}], [\"execution_error\", {\"prompt_id\": \"8b83b0ee-a1a9-4cff-9a4f-685a52a9a63f\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"7\", \"9\", \"3\", \"6\", \"1\", \"2\", \"5\", \"8\", \"4\"], \"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": "2026-08-06T18:42:10Z"}
{"label": "g4090b_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": 5.0, "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/g4090b_pi8_key_t2v_1344", "ok": false, "status": "error", "wall_s": 159.1, "exec_s": 156.9, "peak_vram_gb": 21.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"13538f8b-9597-4033-b8a5-2d10c09a5ce4\", \"timestamp\": 1786041731356}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"13538f8b-9597-4033-b8a5-2d10c09a5ce4\", \"timestamp\": 1786041731356}], [\"execution_error\", {\"prompt_id\": \"13538f8b-9597-4033-b8a5-2d10c09a5ce4\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"7\", \"9\", \"3\", \"6\", \"1\", \"2\", \"5\", \"8\", \"4\"], \"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": "2026-08-06T18:44:49Z"}
{"label": "g4090b_pi8_key_i2v_5s", "task": "i2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "The camera slowly pushes into the city skyline as dusk settles, window lights flickering on one by one, light wind, distant traffic hum and a soft synth pad.", "width": 864, "height": 480, "seconds": 5.0, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "ref_downscale": 0.0, "warm": true, "filename_prefix": "bench/g4090b_pi8_key_i2v_5s", "ok": true, "status": "success", "wall_s": 401.7, "exec_s": 399.9, "peak_vram_gb": 22.3, "outputs": ["g4090b_pi8_key_i2v_5s_00001_.mp4"], "error": null, "ts": "2026-08-06T18:51:31Z"}
{"label": "g4090m_4ref_ds020", "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": 5.0, "length": 124, "steps": 20, "seed": 40, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 4, "ref_downscale": 0.2, "warm": true, "filename_prefix": "bench/g4090m_4ref_ds020", "ok": false, "status": "error", "wall_s": 184.8, "exec_s": 182.4, "peak_vram_gb": 20.4, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"863d9ce6-f089-49f6-8473-02a64dd3c009\", \"timestamp\": 1786042299301}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"863d9ce6-f089-49f6-8473-02a64dd3c009\", \"timestamp\": 1786042299302}], [\"execution_error\", {\"prompt_id\": \"863d9ce6-f089-49f6-8473-02a64dd3c009\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"7\", \"62\", \"9\", \"23\", \"3\", \"20\", \"60\", \"22\", \"2\", \"21\", \"5\", \"1\", \"6\", \"8\", \"61\", \"63\", \"4\"], \"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": "2026-08-06T18:54:43Z"}
{"label": "g4090m_8ref_ds020", "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": 5.0, "length": 124, "steps": 20, "seed": 40, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "ref_downscale": 0.2, "warm": true, "filename_prefix": "bench/g4090m_8ref_ds020", "ok": false, "status": "error", "wall_s": 196.7, "exec_s": 189.1, "peak_vram_gb": 20.4, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"8909ca18-6faa-4bcb-b88a-7ed7591fc945\", \"timestamp\": 1786042485213}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"8909ca18-6faa-4bcb-b88a-7ed7591fc945\", \"timestamp\": 1786042485213}], [\"execution_error\", {\"prompt_id\": \"8909ca18-6faa-4bcb-b88a-7ed7591fc945\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"24\", \"3\", \"60\", \"1\", \"23\", \"20\", \"63\", \"64\", \"62\", \"6\", \"22\", \"26\", \"5\", \"66\", \"25\", \"67\", \"4\", \"7\", \"9\", \"2\", \"21\", \"8\", \"61\", \"65\", \"27\"], \"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_inpu", "ts": "2026-08-06T18:58:00Z"}
{"label": "g4090m_8ref_ds010", "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": 5.0, "length": 124, "steps": 20, "seed": 41, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "ref_downscale": 0.1, "warm": true, "filename_prefix": "bench/g4090m_8ref_ds010", "ok": false, "status": "error", "wall_s": 188.7, "exec_s": 186.6, "peak_vram_gb": 21.8, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"04cdefc3-6321-4394-bb1a-19bce8c3cad4\", \"timestamp\": 1786042681754}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"04cdefc3-6321-4394-bb1a-19bce8c3cad4\", \"timestamp\": 1786042681755}], [\"execution_error\", {\"prompt_id\": \"04cdefc3-6321-4394-bb1a-19bce8c3cad4\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"24\", \"3\", \"60\", \"1\", \"23\", \"20\", \"63\", \"64\", \"62\", \"6\", \"22\", \"26\", \"5\", \"66\", \"25\", \"67\", \"4\", \"7\", \"9\", \"2\", \"21\", \"8\", \"61\", \"65\", \"27\"], \"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_inpu", "ts": "2026-08-06T19:01:09Z"}
{"label": "g4090m_4ref_ctrl", "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": 5.0, "length": 124, "steps": 20, "seed": 42, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 4, "ref_downscale": 0.0, "warm": true, "filename_prefix": "bench/g4090m_4ref_ctrl", "ok": false, "status": "error", "wall_s": 184.6, "exec_s": 181.2, "peak_vram_gb": 21.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"c9d4da63-555c-49c5-8631-d9edaeae828e\", \"timestamp\": 1786042871805}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"c9d4da63-555c-49c5-8631-d9edaeae828e\", \"timestamp\": 1786042871805}], [\"execution_error\", {\"prompt_id\": \"c9d4da63-555c-49c5-8631-d9edaeae828e\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"7\", \"9\", \"23\", \"3\", \"6\", \"22\", \"2\", \"21\", \"5\", \"1\", \"8\", \"20\", \"4\"], \"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 \\\"/Co", "ts": "2026-08-06T19:04:14Z"}
{"label": "g4090lv_1ref", "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": 5.0, "length": 124, "steps": 20, "seed": 50, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "ref_downscale": 0.0, "warm": false, "filename_prefix": "bench/g4090lv_1ref", "ok": false, "status": "error", "wall_s": 324.2, "exec_s": 323.0, "peak_vram_gb": 21.5, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"f7aa62ff-0fc7-459e-88d6-36bb3426264b\", \"timestamp\": 1786043188351}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"f7aa62ff-0fc7-459e-88d6-36bb3426264b\", \"timestamp\": 1786043188352}], [\"execution_error\", {\"prompt_id\": \"f7aa62ff-0fc7-459e-88d6-36bb3426264b\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"4\", \"6\", \"1\", \"8\", \"5\", \"7\", \"10\", \"9\", \"3\", \"2\"], \"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": "2026-08-06T19:11:52Z"}
{"label": "g4090lv_4ref_ds020", "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": 5.0, "length": 124, "steps": 20, "seed": 50, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 4, "ref_downscale": 0.2, "warm": true, "filename_prefix": "bench/g4090lv_4ref_ds020", "ok": false, "status": "error", "wall_s": 377.3, "exec_s": 374.0, "peak_vram_gb": 24.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"46b9518b-2650-48e4-a091-cc9391364a2f\", \"timestamp\": 1786043514401}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"46b9518b-2650-48e4-a091-cc9391364a2f\", \"timestamp\": 1786043514402}], [\"execution_error\", {\"prompt_id\": \"46b9518b-2650-48e4-a091-cc9391364a2f\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"4\", \"22\", \"6\", \"21\", \"60\", \"5\", \"23\", \"1\", \"20\", \"7\", \"8\", \"62\", \"9\", \"63\", \"3\", \"61\", \"2\"], \"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": "2026-08-06T19:18:09Z"}
{"label": "g4090lv_8ref_ds020", "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": 5.0, "length": 124, "steps": 20, "seed": 50, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "ref_downscale": 0.2, "warm": true, "filename_prefix": "bench/g4090lv_8ref_ds020", "ok": false, "status": "server_lost", "wall_s": 157.0, "exec_s": null, "peak_vram_gb": 5.7, "outputs": [], "error": "server unreachable while polling: <urlopen error [Errno 111] Connection refused>", "ts": "2026-08-06T19:20:46Z"}