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@@ -25,3 +25,19 @@
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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{"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"}
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Hanashi