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Hanashi 77524a10e6 final: 5090 tables (incl. bf16-streaming), stats tooling covers all 5 datasets 
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-06 19:21:16 -04:00

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{"label": "g4090_smoke_t2v", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 608, "height": 352, "seconds": 5.0, "length": 124, "steps": 20, "seed": 1, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_smoke_t2v", "ok": false, "status": "error", "wall_s": 105.6, "exec_s": 103.8, "peak_vram_gb": 16.1, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"94a541f0-b58d-4f8a-92b1-4fa970ee635e\", \"timestamp\": 1786000045555}], [\"execution_cached\", {\"nodes\": [], \"prompt_id\": \"94a541f0-b58d-4f8a-92b1-4fa970ee635e\", \"timestamp\": 1786000045572}], [\"execution_error\", {\"prompt_id\": \"94a541f0-b58d-4f8a-92b1-4fa970ee635e\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ImageToVideo\", \"executed\": [\"3\", \"2\", \"4\"], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/", "ts": "2026-08-06T07:09:10Z"}
{"label": "g4090_pi8_key_t2v_5s_r0", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r0", "ok": false, "status": "error", "wall_s": 2.6, "exec_s": 0.0, "peak_vram_gb": 16.2, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"410fc71b-ee79-4fd3-aa05-f361251090e1\", \"timestamp\": 1786000151383}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\"], \"prompt_id\": \"410fc71b-ee79-4fd3-aa05-f361251090e1\", \"timestamp\": 1786000151385}], [\"execution_error\", {\"prompt_id\": \"410fc71b-ee79-4fd3-aa05-f361251090e1\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ImageToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/", "ts": "2026-08-06T07:09:13Z"}
{"label": "g4090_pi8_key_t2v_5s_r1", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r1", "ok": false, "status": "error", "wall_s": 2.7, "exec_s": 0.0, "peak_vram_gb": 16.2, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"a9eafb82-e31d-4fa6-953b-18dceb5eb595\", \"timestamp\": 1786000154055}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\"], \"prompt_id\": \"a9eafb82-e31d-4fa6-953b-18dceb5eb595\", \"timestamp\": 1786000154059}], [\"execution_error\", {\"prompt_id\": \"a9eafb82-e31d-4fa6-953b-18dceb5eb595\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ImageToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/", "ts": "2026-08-06T07:09:16Z"}
{"label": "g4090_pi8_key_t2v_5s_r2", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r2", "ok": false, "status": "error", "wall_s": 2.7, "exec_s": 0.0, "peak_vram_gb": 16.2, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"7536b365-75bc-4685-a658-b34f2516f51f\", \"timestamp\": 1786000156726}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\"], \"prompt_id\": \"7536b365-75bc-4685-a658-b34f2516f51f\", \"timestamp\": 1786000156730}], [\"execution_error\", {\"prompt_id\": \"7536b365-75bc-4685-a658-b34f2516f51f\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ImageToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/", "ts": "2026-08-06T07:09:19Z"}
{"label": "g4090_pi8_key_ref2v_1ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r0", "ok": false, "status": "error", "wall_s": 3.1, "exec_s": 1.6, "peak_vram_gb": 16.2, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"210fe515-48cb-454c-800e-c1af712ae39d\", \"timestamp\": 1786000159693}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\"], \"prompt_id\": \"210fe515-48cb-454c-800e-c1af712ae39d\", \"timestamp\": 1786000159698}], [\"execution_error\", {\"prompt_id\": \"210fe515-48cb-454c-800e-c1af712ae39d\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [\"10\"], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" ", "ts": "2026-08-06T07:09:22Z"}
{"label": "g4090_pi8_key_ref2v_1ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r1", "ok": false, "status": "error", "wall_s": 2.7, "exec_s": 0.3, "peak_vram_gb": 21.4, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"6353b763-7624-466d-ad6b-1824c843aa22\", \"timestamp\": 1786000162487}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\", \"10\"], \"prompt_id\": \"6353b763-7624-466d-ad6b-1824c843aa22\", \"timestamp\": 1786000162493}], [\"execution_error\", {\"prompt_id\": \"6353b763-7624-466d-ad6b-1824c843aa22\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \"", "ts": "2026-08-06T07:09:24Z"}
{"label": "g4090_pi8_key_ref2v_1ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r2", "ok": false, "status": "error", "wall_s": 2.8, "exec_s": 0.3, "peak_vram_gb": 21.5, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"5ec17963-a0cc-49b8-95af-650613748940\", \"timestamp\": 1786000165178}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\", \"10\"], \"prompt_id\": \"5ec17963-a0cc-49b8-95af-650613748940\", \"timestamp\": 1786000165182}], [\"execution_error\", {\"prompt_id\": \"5ec17963-a0cc-49b8-95af-650613748940\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \"", "ts": "2026-08-06T07:09:27Z"}
{"label": "g4090_pi8_key_ref2v_8ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r0", "ok": false, "status": "error", "wall_s": 27.8, "exec_s": 25.3, "peak_vram_gb": 21.5, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"64db2617-8dd3-4f8c-86b7-feed2570b618\", \"timestamp\": 1786000167976}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\", \"20\"], \"prompt_id\": \"64db2617-8dd3-4f8c-86b7-feed2570b618\", \"timestamp\": 1786000168297}], [\"execution_error\", {\"prompt_id\": \"64db2617-8dd3-4f8c-86b7-feed2570b618\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [\"21\", \"26\", \"25\", \"27\", \"22\", \"24\", \"23\"], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ", "ts": "2026-08-06T07:09:55Z"}
{"label": "g4090_pi8_key_ref2v_8ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r1", "ok": false, "status": "error", "wall_s": 14.2, "exec_s": 13.1, "peak_vram_gb": 21.4, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"148a97ca-5dd1-4411-acb4-e6442f1bcf36\", \"timestamp\": 1786000195802}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\"], \"prompt_id\": \"148a97ca-5dd1-4411-acb4-e6442f1bcf36\", \"timestamp\": 1786000196040}], [\"execution_error\", {\"prompt_id\": \"148a97ca-5dd1-4411-acb4-e6442f1bcf36\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [], \"exception_message\": \"scaled_dot_product_attention() got an unexpected keyword argument 'enable_gqa'\\n\", \"exception_type\": \"TypeError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/__init__.py\\\", line 149, in wrapped_func\\n return method(locked_class, **inputs)\\n ", "ts": "2026-08-06T07:10:09Z"}
{"label": "g4090_smoke_t2v_v2", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 608, "height": 352, "seconds": 5.0, "length": 124, "steps": 20, "seed": 7, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_smoke_t2v_v2", "ok": true, "status": "success", "wall_s": 294.4, "exec_s": 291.9, "peak_vram_gb": 23.0, "outputs": ["g4090_smoke_t2v_v2_00001_.mp4"], "error": null, "ts": "2026-08-06T07:21:45Z"}
{"label": "g4090_pi8_key_t2v_5s_r0", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r0", "ok": false, "status": "error", "wall_s": 52.5, "exec_s": 50.3, "peak_vram_gb": 24.5, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"7631dc7e-3e06-4340-b184-35908e81aa1d\", \"timestamp\": 1786000932333}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\"], \"prompt_id\": \"7631dc7e-3e06-4340-b184-35908e81aa1d\", \"timestamp\": 1786000932335}], [\"execution_error\", {\"prompt_id\": \"7631dc7e-3e06-4340-b184-35908e81aa1d\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"8\", \"9\", \"5\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/_", "ts": "2026-08-06T07:23:04Z"}
{"label": "g4090_pi8_key_t2v_5s_r1", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r1", "ok": false, "status": "error", "wall_s": 20.7, "exec_s": 18.2, "peak_vram_gb": 21.6, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"4700e64a-a7b9-4d20-ad0c-8fbe54463077\", \"timestamp\": 1786000984922}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"9\", \"5\"], \"prompt_id\": \"4700e64a-a7b9-4d20-ad0c-8fbe54463077\", \"timestamp\": 1786000984924}], [\"execution_error\", {\"prompt_id\": \"4700e64a-a7b9-4d20-ad0c-8fbe54463077\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"8\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/_", "ts": "2026-08-06T07:23:25Z"}
{"label": "g4090_pi8_key_t2v_5s_r2", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r2", "ok": false, "status": "error", "wall_s": 20.7, "exec_s": 18.2, "peak_vram_gb": 21.5, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"f5ce7a86-5f5f-474f-816e-fb3c651c0ec1\", \"timestamp\": 1786001005603}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"9\", \"5\"], \"prompt_id\": \"f5ce7a86-5f5f-474f-816e-fb3c651c0ec1\", \"timestamp\": 1786001005605}], [\"execution_error\", {\"prompt_id\": \"f5ce7a86-5f5f-474f-816e-fb3c651c0ec1\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"8\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/_", "ts": "2026-08-06T07:23:46Z"}
{"label": "g4090_pi8_key_ref2v_1ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r0", "ok": false, "status": "error", "wall_s": 107.8, "exec_s": 107.2, "peak_vram_gb": 25.1, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"b8882cf8-cab9-4f66-9373-3ec784a2811e\", \"timestamp\": 1786001026340}], [\"execution_cached\", {\"nodes\": [\"2\", \"3\", \"4\", \"6\", \"8\"], \"prompt_id\": \"b8882cf8-cab9-4f66-9373-3ec784a2811e\", \"timestamp\": 1786001026346}], [\"execution_error\", {\"prompt_id\": \"b8882cf8-cab9-4f66-9373-3ec784a2811e\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"1\", \"9\", \"10\", \"5\", \"7\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/inte", "ts": "2026-08-06T07:25:33Z"}
{"label": "g4090_pi8_key_ref2v_1ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r1", "ok": false, "status": "error", "wall_s": 20.9, "exec_s": 18.6, "peak_vram_gb": 21.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"ed8731a7-dee0-47a4-87e2-4e7e6e09d3a6\", \"timestamp\": 1786001134158}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"9\", \"10\", \"5\"], \"prompt_id\": \"ed8731a7-dee0-47a4-87e2-4e7e6e09d3a6\", \"timestamp\": 1786001134162}], [\"execution_error\", {\"prompt_id\": \"ed8731a7-dee0-47a4-87e2-4e7e6e09d3a6\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/in", "ts": "2026-08-06T07:25:54Z"}
{"label": "g4090_pi8_key_ref2v_1ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r2", "ok": false, "status": "error", "wall_s": 20.8, "exec_s": 18.4, "peak_vram_gb": 22.0, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"4778e0f9-1397-4764-9f61-ccbd39c44eca\", \"timestamp\": 1786001155028}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"9\", \"10\", \"5\"], \"prompt_id\": \"4778e0f9-1397-4764-9f61-ccbd39c44eca\", \"timestamp\": 1786001155031}], [\"execution_error\", {\"prompt_id\": \"4778e0f9-1397-4764-9f61-ccbd39c44eca\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/in", "ts": "2026-08-06T07:26:15Z"}
{"label": "g4090_pi8_key_ref2v_8ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r0", "ok": false, "status": "error", "wall_s": 57.8, "exec_s": 56.6, "peak_vram_gb": 24.8, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"1ca703f5-b51e-41d2-9129-1d4bcb028fbd\", \"timestamp\": 1786001175875}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"20\"], \"prompt_id\": \"1ca703f5-b51e-41d2-9129-1d4bcb028fbd\", \"timestamp\": 1786001176260}], [\"execution_error\", {\"prompt_id\": \"1ca703f5-b51e-41d2-9129-1d4bcb028fbd\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"23\", \"27\", \"24\", \"25\", \"9\", \"22\", \"5\", \"21\", \"26\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^", "ts": "2026-08-06T07:27:13Z"}
{"label": "g4090_pi8_key_ref2v_8ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r1", "ok": false, "status": "error", "wall_s": 20.7, "exec_s": 18.4, "peak_vram_gb": 21.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"bd1005b8-5005-48d3-b8a3-71024f41205b\", \"timestamp\": 1786001233687}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"9\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"5\"], \"prompt_id\": \"bd1005b8-5005-48d3-b8a3-71024f41205b\", \"timestamp\": 1786001233897}], [\"execution_error\", {\"prompt_id\": \"bd1005b8-5005-48d3-b8a3-71024f41205b\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^", "ts": "2026-08-06T07:27:34Z"}
{"label": "g4090_pi8_key_ref2v_8ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r2", "ok": false, "status": "error", "wall_s": 20.8, "exec_s": 18.3, "peak_vram_gb": 21.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"82804bc1-e0e8-4c3d-b3d0-7fc51cf09099\", \"timestamp\": 1786001254392}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"9\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"5\"], \"prompt_id\": \"82804bc1-e0e8-4c3d-b3d0-7fc51cf09099\", \"timestamp\": 1786001254602}], [\"execution_error\", {\"prompt_id\": \"82804bc1-e0e8-4c3d-b3d0-7fc51cf09099\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^", "ts": "2026-08-06T07:27:54Z"}
{"label": "g4090_pi8_key_t2v_15s", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 15, "length": 362, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_15s", "ok": false, "status": "error", "wall_s": 27.5, "exec_s": 26.0, "peak_vram_gb": 16.7, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"74c4ba1d-aea1-499d-b3eb-7cc6daba3430\", \"timestamp\": 1786001275135}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\"], \"prompt_id\": \"74c4ba1d-aea1-499d-b3eb-7cc6daba3430\", \"timestamp\": 1786001275138}], [\"execution_error\", {\"prompt_id\": \"74c4ba1d-aea1-499d-b3eb-7cc6daba3430\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"8\", \"9\", \"5\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/_", "ts": "2026-08-06T07:28:22Z"}
{"label": "g4090_pi8_key_t2v_1344", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 1344, "height": 768, "seconds": 5, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_1344", "ok": false, "status": "error", "wall_s": 27.6, "exec_s": 26.5, "peak_vram_gb": 22.9, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"df5d5440-81d1-41ab-9abb-9db85e63c735\", \"timestamp\": 1786001302639}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\"], \"prompt_id\": \"df5d5440-81d1-41ab-9abb-9db85e63c735\", \"timestamp\": 1786001302641}], [\"execution_error\", {\"prompt_id\": \"df5d5440-81d1-41ab-9abb-9db85e63c735\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"9\", \"5\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/internal/_", "ts": "2026-08-06T07:28:49Z"}
{"label": "g4090_pi8_key_ref2v_8ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_max", "ok": false, "status": "error", "wall_s": 50.7, "exec_s": 49.4, "peak_vram_gb": 23.6, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"08e7a7d5-c0ff-4f95-9867-82b781bc916b\", \"timestamp\": 1786001330315}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\"], \"prompt_id\": \"08e7a7d5-c0ff-4f95-9867-82b781bc916b\", \"timestamp\": 1786001330525}], [\"execution_error\", {\"prompt_id\": \"08e7a7d5-c0ff-4f95-9867-82b781bc916b\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\", "ts": "2026-08-06T07:29:40Z"}
{"label": "g4090_pi8_refheavy_1ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_refheavy_1ref_match", "ok": false, "status": "error", "wall_s": 20.8, "exec_s": 18.2, "peak_vram_gb": 21.6, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"d72850e0-b13e-4d47-bc49-fe7404049bff\", \"timestamp\": 1786001381177}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"9\", \"10\", \"5\"], \"prompt_id\": \"d72850e0-b13e-4d47-bc49-fe7404049bff\", \"timestamp\": 1786001381183}], [\"execution_error\", {\"prompt_id\": \"d72850e0-b13e-4d47-bc49-fe7404049bff\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"8\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/comfy_api/inte", "ts": "2026-08-06T07:30:01Z"}
{"label": "g4090_pi8_refheavy_4ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 4, "warm": true, "filename_prefix": "bench/g4090_pi8_refheavy_4ref_match", "ok": false, "status": "error", "wall_s": 36.7, "exec_s": 35.8, "peak_vram_gb": 23.3, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"05a13b6a-a2a1-470e-9b48-54bbc5072a1f\", \"timestamp\": 1786001402077}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"20\", \"21\", \"22\", \"23\"], \"prompt_id\": \"05a13b6a-a2a1-470e-9b48-54bbc5072a1f\", \"timestamp\": 1786001402081}], [\"execution_error\", {\"prompt_id\": \"05a13b6a-a2a1-470e-9b48-54bbc5072a1f\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [\"9\", \"5\"], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/Comf", "ts": "2026-08-06T07:30:38Z"}
{"label": "g4090_pi8_refheavy_8ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_refheavy_8ref_match", "ok": false, "status": "error", "wall_s": 20.8, "exec_s": 18.7, "peak_vram_gb": 21.8, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"91e186ad-65df-47f6-be72-9501dfc1e9f1\", \"timestamp\": 1786001438642}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"9\", \"20\", \"21\", \"22\", \"23\", \"24\", \"25\", \"26\", \"27\", \"5\"], \"prompt_id\": \"91e186ad-65df-47f6-be72-9501dfc1e9f1\", \"timestamp\": 1786001438852}], [\"execution_error\", {\"prompt_id\": \"91e186ad-65df-47f6-be72-9501dfc1e9f1\", \"node_id\": \"11\", \"node_type\": \"SamplerCustomAdvanced\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^", "ts": "2026-08-06T07:30:59Z"}
{"label": "g4090_pi8_refheavy_4ref_max", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "max", "ref_count": 4, "warm": true, "filename_prefix": "bench/g4090_pi8_refheavy_4ref_max", "ok": false, "status": "error", "wall_s": 18.7, "exec_s": 18.0, "peak_vram_gb": 22.4, "outputs": [], "error": "{\"status_str\": \"error\", \"completed\": false, \"messages\": [[\"execution_start\", {\"prompt_id\": \"c79b27c2-09cc-4ce1-b078-6a5234b74d88\", \"timestamp\": 1786001459467}], [\"execution_cached\", {\"nodes\": [\"1\", \"2\", \"3\", \"4\", \"6\", \"7\", \"8\", \"20\", \"21\", \"22\", \"23\"], \"prompt_id\": \"c79b27c2-09cc-4ce1-b078-6a5234b74d88\", \"timestamp\": 1786001459474}], [\"execution_error\", {\"prompt_id\": \"c79b27c2-09cc-4ce1-b078-6a5234b74d88\", \"node_id\": \"5\", \"node_type\": \"MiniMaxH3ReferenceToVideo\", \"executed\": [], \"exception_message\": \"Allocation on device \\nThis error means you ran out of memory on your GPU.\\n\\nTIPS: If the workflow worked before you might have accidentally set the batch_size to a large number.\", \"exception_type\": \"torch.OutOfMemoryError\", \"traceback\": [\" File \\\"/ComfyUI/execution.py\\\", line 545, in execute\\n output_data, output_ui, has_subgraph, has_pending_tasks = await get_output_data(prompt_id, unique_id, obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 344, in get_output_data\\n return_values = await _async_map_node_over_list(prompt_id, unique_id, obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb, v3_data=v3_data)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 318, in _async_map_node_over_list\\n await process_inputs(input_dict, i)\\n\", \" File \\\"/ComfyUI/execution.py\\\", line 306, in process_inputs\\n result = f(**inputs)\\n ^^^^^^^^^^^\\n\", \" File \\\"/ComfyUI/c", "ts": "2026-08-06T07:31:17Z"}
{"label": "g4090_oomcheck_t2v_864", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5.0, "length": 124, "steps": 20, "seed": 8, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_oomcheck_t2v_864", "ok": true, "status": "success", "wall_s": 393.1, "exec_s": 390.7, "peak_vram_gb": 21.4, "outputs": ["g4090_oomcheck_t2v_864_00001_.mp4"], "error": null, "ts": "2026-08-06T07:40:29Z"}
{"label": "g4090_pi8_key_t2v_5s_r0", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r0", "ok": true, "status": "success", "wall_s": 224.3, "exec_s": 222.5, "peak_vram_gb": 21.1, "outputs": ["g4090_pi8_key_t2v_5s_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T17:52:41Z"}
{"label": "g4090_pi8_key_t2v_5s_r1", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r1", "ok": true, "status": "success", "wall_s": 225.0, "exec_s": 222.4, "peak_vram_gb": 22.2, "outputs": ["g4090_pi8_key_t2v_5s_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T17:56:26Z"}
{"label": "g4090_pi8_key_t2v_5s_r2", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_5s_r2", "ok": true, "status": "success", "wall_s": 224.0, "exec_s": 222.4, "peak_vram_gb": 21.1, "outputs": ["g4090_pi8_key_t2v_5s_r2_00001_.mp4"], "error": null, "ts": "2026-08-06T18:00:10Z"}
{"label": "g4090_pi8_key_ref2v_1ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": false, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r0", "ok": true, "status": "success", "wall_s": 339.8, "exec_s": 338.9, "peak_vram_gb": 21.1, "outputs": ["g4090_pi8_key_ref2v_1ref_r0_00001_.mp4"], "error": null, "ts": "2026-08-06T18:05:49Z"}
{"label": "g4090_pi8_key_ref2v_1ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r1", "ok": true, "status": "success", "wall_s": 241.2, "exec_s": 235.4, "peak_vram_gb": 21.2, "outputs": ["g4090_pi8_key_ref2v_1ref_r1_00001_.mp4"], "error": null, "ts": "2026-08-06T18:09:51Z"}
{"label": "g4090_pi8_key_ref2v_1ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_1ref_r2", "ok": false, "status": "error", "wall_s": 26.2, "exec_s": 24.5, "peak_vram_gb": 20.8, "outputs": [], "error": "{\"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", "ts": "2026-08-06T18:10:17Z"}
{"label": "g4090_pi8_key_ref2v_8ref_r0", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 10, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r0", "ok": false, "status": "error", "wall_s": 246.0, "exec_s": 244.5, "peak_vram_gb": 21.0, "outputs": [], "error": "{\"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 ^^^^^^^", "ts": "2026-08-06T18:14:23Z"}
{"label": "g4090_pi8_key_ref2v_8ref_r1", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 11, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r1", "ok": false, "status": "error", "wall_s": 18.7, "exec_s": 17.1, "peak_vram_gb": 18.6, "outputs": [], "error": "{\"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 ^^^^^", "ts": "2026-08-06T18:14:42Z"}
{"label": "g4090_pi8_key_ref2v_8ref_r2", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 12, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090_pi8_key_ref2v_8ref_r2", "ok": false, "status": "error", "wall_s": 18.5, "exec_s": 17.0, "peak_vram_gb": 18.6, "outputs": [], "error": "{\"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 ^^^^^", "ts": "2026-08-06T18:15:00Z"}
{"label": "g4090_pi8_key_t2v_15s", "task": "t2v", "model_file": "minimax_h3_fl2va_pruned_int8_convrot.safetensors", "prompt": "Cinematic aerial shot slowly orbiting a coastal lighthouse at golden hour, waves crashing on dark rocks below, seagulls circling, warm sunlight flares, sound of surf and wind, gentle orchestral swell.", "width": 864, "height": 480, "seconds": 15, "length": 362, "steps": 20, "seed": 20, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090_pi8_key_t2v_15s", "ok": false, "status": "server_lost", "wall_s": 136.5, "exec_s": null, "peak_vram_gb": 16.8, "outputs": [], "error": "server unreachable while polling: [Errno 104] Connection reset by peer", "ts": "2026-08-06T18:17:17Z"}
{"label": "g4090b_pi8_refheavy_1ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "Use <Picture 1> as the setting. A slow cinematic pan across the sunset city skyline, clouds drifting, lights turning on in the towers, ambient city sounds.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 1, "warm": true, "filename_prefix": "bench/g4090b_pi8_refheavy_1ref_match", "ok": true, "status": "success", "wall_s": 396.2, "exec_s": 391.9, "peak_vram_gb": 21.9, "outputs": ["g4090b_pi8_refheavy_1ref_match_00001_.mp4"], "error": null, "ts": "2026-08-06T18:25:24Z"}
{"label": "g4090b_pi8_refheavy_4ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 4, "warm": true, "filename_prefix": "bench/g4090b_pi8_refheavy_4ref_match", "ok": false, "status": "error", "wall_s": 189.6, "exec_s": 187.3, "peak_vram_gb": 22.9, "outputs": [], "error": "{\"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", "ts": "2026-08-06T18:28:34Z"}
{"label": "g4090b_pi8_refheavy_8ref_match", "task": "ref2v", "model_file": "minimax_h3_ref2va_pruned_int8_convrot.safetensors", "prompt": "A sweeping cinematic montage inspired by <Picture 1>, <Picture 2>, <Picture 3>, <Picture 4>, <Picture 5>, <Picture 6>, <Picture 7>, <Picture 8>: dinosaurs stalking through ancient forests, an anime hero surveying a volcanic ridge, crossfading between the scenes and moods of each reference in order, camera drifting forward the whole time, an adventurous orchestral score building throughout.", "width": 864, "height": 480, "seconds": 5, "length": 124, "steps": 20, "seed": 3, "sampler": "res_multistep", "scheduler": "simple", "image": "bench2_jp_01.jpg", "ref_image_size": "match", "ref_count": 8, "warm": true, "filename_prefix": "bench/g4090b_pi8_refheavy_8ref_match", "ok": false, "status": "error", "wall_s": 193.8, "exec_s": 189.7, "peak_vram_gb": 21.1, "outputs": [], "error": "{\"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 ^^^^^", "ts": "2026-08-06T18:31:48Z"}
{"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"}
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