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cloud-worker/bench/4090/results.csv
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Hanashi a293d0a2c4 reliability: failure-stats + output-validation tooling; persistent output dir 
- bench/failures.py: per-GPU success rates and error-class breakdown by config
- bench/validate_outputs.py: ffprobe every recorded output via /view
- finding: 24GB cards fail on multi-ref (TE vision OOM), not duration/size;
  100% of successful runs produce valid videos
- outputs now written to /workspace (survives pod resets)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-06 14:41:00 -04:00

78 KiB
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1tslabeltaskmodel_filewidthheightsecondslengthstepssamplerschedulerref_image_sizeref_countwarmokwall_sexec_speak_vram_gboutputserror
22026-08-06T07:09:10Zg4090_smoke_t2vt2vminimax_h3_fl2va_pruned_int8_convrot.safetensors6083525.012420res_multistepsimplematch1FalseFalse105.6103.816.1{"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 \"/
32026-08-06T07:09:13Zg4090_pi8_key_t2v_5s_r0t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1FalseFalse2.60.016.2{"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 \"/
42026-08-06T07:09:16Zg4090_pi8_key_t2v_5s_r1t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueFalse2.70.016.2{"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 \"/
52026-08-06T07:09:19Zg4090_pi8_key_t2v_5s_r2t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueFalse2.70.016.2{"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 \"/
62026-08-06T07:09:22Zg4090_pi8_key_ref2v_1ref_r0ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1FalseFalse3.11.616.2{"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", "
72026-08-06T07:09:24Zg4090_pi8_key_ref2v_1ref_r1ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueFalse2.70.321.4{"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", "
82026-08-06T07:09:27Zg4090_pi8_key_ref2v_1ref_r2ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueFalse2.80.321.5{"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", "
92026-08-06T07:09:55Zg4090_pi8_key_ref2v_8ref_r0ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch8TrueFalse27.825.321.5{"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
102026-08-06T07:10:09Zg4090_pi8_key_ref2v_8ref_r1ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch8TrueFalse14.213.121.4{"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
112026-08-06T07:21:45Zg4090_smoke_t2v_v2t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors6083525.012420res_multistepsimplematch1FalseTrue294.4291.923.0g4090_smoke_t2v_v2_00001_.mp4
122026-08-06T07:23:04Zg4090_pi8_key_t2v_5s_r0t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1FalseFalse52.550.324.5{"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/_
132026-08-06T07:23:25Zg4090_pi8_key_t2v_5s_r1t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueFalse20.718.221.6{"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/_
142026-08-06T07:23:46Zg4090_pi8_key_t2v_5s_r2t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueFalse20.718.221.5{"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/_
152026-08-06T07:25:33Zg4090_pi8_key_ref2v_1ref_r0ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1FalseFalse107.8107.225.1{"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
162026-08-06T07:25:54Zg4090_pi8_key_ref2v_1ref_r1ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueFalse20.918.621.9{"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
172026-08-06T07:26:15Zg4090_pi8_key_ref2v_1ref_r2ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueFalse20.818.422.0{"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
182026-08-06T07:27:13Zg4090_pi8_key_ref2v_8ref_r0ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch8TrueFalse57.856.624.8{"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 ^^^^^^^
192026-08-06T07:27:34Zg4090_pi8_key_ref2v_8ref_r1ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch8TrueFalse20.718.421.9{"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 ^^^^^
202026-08-06T07:27:54Zg4090_pi8_key_ref2v_8ref_r2ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch8TrueFalse20.818.321.9{"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 ^^^^^
212026-08-06T07:28:22Zg4090_pi8_key_t2v_15st2vminimax_h3_fl2va_pruned_int8_convrot.safetensors8644801536220res_multistepsimplematch1TrueFalse27.526.016.7{"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/_
222026-08-06T07:28:49Zg4090_pi8_key_t2v_1344t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors1344768512420res_multistepsimplematch1TrueFalse27.626.522.9{"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/_
232026-08-06T07:29:40Zg4090_pi8_key_ref2v_8ref_maxref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplemax8TrueFalse50.749.423.6{"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 ^^^^^^^^^^^\
242026-08-06T07:30:01Zg4090_pi8_refheavy_1ref_matchref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueFalse20.818.221.6{"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
252026-08-06T07:30:38Zg4090_pi8_refheavy_4ref_matchref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch4TrueFalse36.735.823.3{"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
262026-08-06T07:30:59Zg4090_pi8_refheavy_8ref_matchref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch8TrueFalse20.818.721.8{"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 ^^^^^
272026-08-06T07:31:17Zg4090_pi8_refheavy_4ref_maxref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplemax4TrueFalse18.718.022.4{"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
282026-08-06T07:40:29Zg4090_oomcheck_t2v_864t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors8644805.012420res_multistepsimplematch1TrueTrue393.1390.721.4g4090_oomcheck_t2v_864_00001_.mp4
292026-08-06T17:52:41Zg4090_pi8_key_t2v_5s_r0t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1FalseTrue224.3222.521.1g4090_pi8_key_t2v_5s_r0_00001_.mp4
302026-08-06T17:56:26Zg4090_pi8_key_t2v_5s_r1t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueTrue225.0222.422.2g4090_pi8_key_t2v_5s_r1_00001_.mp4
312026-08-06T18:00:10Zg4090_pi8_key_t2v_5s_r2t2vminimax_h3_fl2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueTrue224.0222.421.1g4090_pi8_key_t2v_5s_r2_00001_.mp4
322026-08-06T18:05:49Zg4090_pi8_key_ref2v_1ref_r0ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1FalseTrue339.8338.921.1g4090_pi8_key_ref2v_1ref_r0_00001_.mp4
332026-08-06T18:09:51Zg4090_pi8_key_ref2v_1ref_r1ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueTrue241.2235.421.2g4090_pi8_key_ref2v_1ref_r1_00001_.mp4
342026-08-06T18:10:17Zg4090_pi8_key_ref2v_1ref_r2ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueFalse26.224.520.8{"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "d1f56b69-02e0-473a-b974-9d0ffd52a1ee", "timestamp": 1786039791534}], ["execution_cached", {"nodes": ["1", "2", "3", "4", "6", "7", "8", "9", "10", "5"], "prompt_id": "d1f56b69-02e0-473a-b974-9d0ffd52a1ee", "timestamp": 1786039791537}], ["execution_error", {"prompt_id": "d1f56b69-02e0-473a-b974-9d0ffd52a1ee", "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
352026-08-06T18:14:23Zg4090_pi8_key_ref2v_8ref_r0ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch8TrueFalse246.0244.521.0{"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "3b5e5c37-0f7b-4458-b832-38ecfcc4c9eb", "timestamp": 1786039817789}], ["execution_cached", {"nodes": ["1", "2", "3", "4", "6", "7", "8", "20"], "prompt_id": "3b5e5c37-0f7b-4458-b832-38ecfcc4c9eb", "timestamp": 1786039818251}], ["execution_error", {"prompt_id": "3b5e5c37-0f7b-4458-b832-38ecfcc4c9eb", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["21", "27", "22", "9", "24", "26", "5", "25", "23"], "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 ^^^^^^^
362026-08-06T18:14:42Zg4090_pi8_key_ref2v_8ref_r1ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch8TrueFalse18.717.118.6{"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "ab3f9b09-ddb7-41e7-8c39-27ae36b468ec", "timestamp": 1786040063740}], ["execution_cached", {"nodes": ["1", "2", "3", "4", "6", "7", "8", "9", "20", "21", "22", "23", "24", "25", "26", "27", "5"], "prompt_id": "ab3f9b09-ddb7-41e7-8c39-27ae36b468ec", "timestamp": 1786040063964}], ["execution_error", {"prompt_id": "ab3f9b09-ddb7-41e7-8c39-27ae36b468ec", "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 ^^^^^
372026-08-06T18:15:00Zg4090_pi8_key_ref2v_8ref_r2ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch8TrueFalse18.517.018.6{"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "4742272b-2d38-4dc9-a8e2-09d8dc6c8edc", "timestamp": 1786040082480}], ["execution_cached", {"nodes": ["1", "2", "3", "4", "6", "7", "8", "9", "20", "21", "22", "23", "24", "25", "26", "27", "5"], "prompt_id": "4742272b-2d38-4dc9-a8e2-09d8dc6c8edc", "timestamp": 1786040082696}], ["execution_error", {"prompt_id": "4742272b-2d38-4dc9-a8e2-09d8dc6c8edc", "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 ^^^^^
382026-08-06T18:17:17Zg4090_pi8_key_t2v_15st2vminimax_h3_fl2va_pruned_int8_convrot.safetensors8644801536220res_multistepsimplematch1TrueFalse136.516.8server unreachable while polling: [Errno 104] Connection reset by peer
392026-08-06T18:25:24Zg4090b_pi8_refheavy_1ref_matchref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch1TrueTrue396.2391.921.9g4090b_pi8_refheavy_1ref_match_00001_.mp4
402026-08-06T18:28:34Zg4090b_pi8_refheavy_4ref_matchref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch4TrueFalse189.6187.322.9{"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "db8eaf8e-a68e-40f5-ad1d-be3496225da9", "timestamp": 1786040725094}], ["execution_cached", {"nodes": [], "prompt_id": "db8eaf8e-a68e-40f5-ad1d-be3496225da9", "timestamp": 1786040725094}], ["execution_error", {"prompt_id": "db8eaf8e-a68e-40f5-ad1d-be3496225da9", "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
412026-08-06T18:31:48Zg4090b_pi8_refheavy_8ref_matchref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplematch8TrueFalse193.8189.721.1{"status_str": "error", "completed": false, "messages": [["execution_start", {"prompt_id": "71dbdb62-fc28-41cd-be08-d92700592811", "timestamp": 1786040915845}], ["execution_cached", {"nodes": [], "prompt_id": "71dbdb62-fc28-41cd-be08-d92700592811", "timestamp": 1786040915845}], ["execution_error", {"prompt_id": "71dbdb62-fc28-41cd-be08-d92700592811", "node_id": "11", "node_type": "SamplerCustomAdvanced", "executed": ["7", "24", "23", "3", "6", "9", "22", "26", "21", "2", "5", "1", "8", "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 ^^^^^
422026-08-06T18:35:01Zg4090b_pi8_refheavy_4ref_maxref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplemax4TrueFalse193.0190.222.4{"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
432026-08-06T18:37:33Zg4090b_pi8_refheavy_8ref_maxref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors864480512420res_multistepsimplemax8TrueFalse152.0148.923.1{"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
442026-08-06T18:39:35Zg4090b_pi8_refheavy_8ref_match_1344ref2vminimax_h3_ref2va_pruned_int8_convrot.safetensors1344768512420res_multistepsimplematch8TrueFalse122.4120.820.4{"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
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