{"id":"e3f2b845-8f2c-4b5a-9caf-eac1029d3e7e","revision":0,"last_node_id":297,"last_link_id":473,"nodes":[{"id":121,"type":"VAEDecodeAudio","pos":[-32.02051136346695,5740.455913826375],"size":[230,60],"flags":{"collapsed":false},"order":29,"mode":0,"inputs":[{"localized_name":"samples","name":"samples","type":"LATENT","link":281},{"localized_name":"vae","name":"vae","type":"VAE","link":250}],"outputs":[{"localized_name":"AUDIO","name":"AUDIO","type":"AUDIO","links":[259]}],"properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for S&R":"VAEDecodeAudio"}},{"id":130,"type":"CreateVideo","pos":[277.9794886365332,5640.455913826375],"size":[270,150],"flags":{},"order":31,"mode":0,"inputs":[{"localized_name":"images","name":"images","type":"IMAGE","link":258},{"localized_name":"audio","name":"audio","shape":7,"type":"AUDIO","link":259},{"localized_name":"fps","name":"fps","type":"FLOAT","widget":{"name":"fps"},"link":null},{"localized_name":"bit_depth","name":"bit_depth","shape":7,"type":"COMBO","widget":{"name":"bit_depth"},"link":null},{"localized_name":"color_space","name":"color_space","shape":7,"type":"COMBO","widget":{"name":"color_space"},"link":null},{"localized_name":"codec","name":"codec","shape":7,"type":"COMBO","widget":{"name":"codec"},"link":null}],"outputs":[{"localized_name":"VIDEO","name":"VIDEO","type":"VIDEO","links":[260]}],"properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for S&R":"CreateVideo"},"widgets_values":[24,8,"sRGB","none"],"widgets_values_named":{"fps":24,"bit_depth":8,"color_space":"sRGB","codec":"none"}},{"id":117,"type":"MarkdownNote","pos":[-2500,4850],"size":[440,740],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[],"title":"Note: Model Links","properties":{},"widgets_values":["## Model Links\n[🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**vae**\n\n- [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n**diffusion_models**\n\n- [minimax_h3_ref2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors)\n\n**loras**\n\n- 4 steps: [minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 vae/\n│   │   ├── minimax_h3_video_vae_fp16.safetensors\n│   │   └── minimax_h3_audio_vae_fp32.safetensors\n│   ├── 📂 diffusion_models/\n│   │   └── minimax_h3_ref2va_pruned_int8_convrot.safetensors\n│   ├── 📂 text_encoders/\n│   │   └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n│   └── 📂 loras/\n│       └── minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"],"widgets_values_named":{"text":"## Model Links\n[🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n**vae**\n\n- [minimax_h3_video_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors)\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors)\n\n**diffusion_models**\n\n- [minimax_h3_ref2va_pruned_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors)\n\n**text_encoders**\n\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors)\n\n**loras**\n\n- 4 steps: [minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 vae/\n│   │   ├── minimax_h3_video_vae_fp16.safetensors\n│   │   └── minimax_h3_audio_vae_fp32.safetensors\n│   ├── 📂 diffusion_models/\n│   │   └── minimax_h3_ref2va_pruned_int8_convrot.safetensors\n│   ├── 📂 text_encoders/\n│   │   └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors\n│   └── 📂 loras/\n│       └── minimax_h3_ref2v_turbo_4step_v0.1_comfyui_bf16.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"},"color":"#222","bgcolor":"#000"},{"id":119,"type":"VAELoader","pos":[-1501.7060770375185,5497.8040513583455],"size":[640,70],"flags":{},"order":1,"mode":0,"inputs":[{"localized_name":"vae_name","name":"vae_name","type":"COMBO","widget":{"name":"vae_name"},"link":null}],"outputs":[{"localized_name":"VAE","name":"VAE","type":"VAE","links":[251,273]}],"properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for S&R":"VAELoader","models":[{"name":"minimax_h3_video_vae_fp16.safetensors","url":"https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_fp16.safetensors","directory":"vae"}]},"widgets_values":["minimax_h3\\minimax_h3_video_vae_int8_convrot.safetensors"],"widgets_values_named":{"vae_name":"minimax_h3\\minimax_h3_video_vae_int8_convrot.safetensors"}},{"id":129,"type":"RandomNoise","pos":[-44.993517668978384,4963.844140663409],"size":[360,90],"flags":{},"order":2,"mode":0,"inputs":[{"localized_name":"noise_seed","name":"noise_seed","type":"INT","widget":{"name":"noise_seed"},"link":null}],"outputs":[{"localized_name":"NOISE","name":"NOISE","type":"NOISE","links":[253]}],"properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for S&R":"RandomNoise"},"widgets_values":[69,"fixed"],"widgets_values_named":{"noise_seed":69,"control_after_generate":"fixed"}},{"id":146,"type":"PrimitiveBoolean","pos":[-2010.4007356723816,5920.111878914012],"size":[270,70],"flags":{},"order":3,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"BOOLEAN","widget":{"name":"value"},"link":null}],"outputs":[{"localized_name":"BOOLEAN","name":"BOOLEAN","type":"BOOLEAN","links":[290,291]}],"title":"Boolean (Enable Lightning LoRA)","properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for 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S&R":"VAELoader","models":[{"name":"minimax_h3_audio_vae_fp32.safetensors","url":"https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors","directory":"vae"}]},"widgets_values":["minimax_h3\\minimax_h3_audio_vae_fp32.safetensors"],"widgets_values_named":{"vae_name":"minimax_h3\\minimax_h3_audio_vae_fp32.safetensors"}},{"id":124,"type":"BasicScheduler","pos":[-43.95479843318255,5335.921579135],"size":[370,130],"flags":{},"order":26,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":402},{"localized_name":"scheduler","name":"scheduler","type":"COMBO","widget":{"name":"scheduler"},"link":null},{"localized_name":"steps","name":"steps","type":"INT","widget":{"name":"steps"},"link":289},{"localized_name":"denoise","name":"denoise","type":"FLOAT","widget":{"name":"denoise"},"link":null}],"outputs":[{"localized_name":"SIGMAS","name":"SIGMAS","type":"SIGMAS","links":[256]}],"properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node 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S&R":"SamplerCustomAdvanced"}},{"id":126,"type":"BasicGuider","pos":[-44.993517668978384,5103.844140663409],"size":[360,60],"flags":{},"order":25,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":401},{"localized_name":"conditioning","name":"conditioning","type":"CONDITIONING","link":270}],"outputs":[{"localized_name":"GUIDER","name":"GUIDER","type":"GUIDER","links":[254]}],"properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for S&R":"BasicGuider"}},{"id":142,"type":"ComfySwitchNode","pos":[-427.7179779276982,5111.590718071075],"size":[270,110],"flags":{},"order":16,"mode":0,"inputs":[{"localized_name":"on_false","name":"on_false","shape":7,"type":"INT","link":284},{"localized_name":"on_true","name":"on_true","shape":7,"type":"INT","link":283},{"localized_name":"switch","name":"switch","type":"BOOLEAN","widget":{"name":"switch"},"link":291}],"outputs":[{"localized_name":"output","name":"output","type":"INT","links":[289]}],"title":"If/Else Switch (Steps)","properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for S&R":"ComfySwitchNode"},"widgets_values":[false],"widgets_values_named":{"switch":false}},{"id":140,"type":"MarkdownNote","pos":[-2405.4427110815227,6312.880734565609],"size":[300,520],"flags":{},"order":5,"mode":0,"inputs":[],"outputs":[],"title":"Note: Size Settings Reference","properties":{},"widgets_values":["| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 (official 768p) |"],"widgets_values_named":{"text":"| megapixels | Aspect | Output (multiple=32) |\n|---|---|---|\n| 0.2 | 16:9 | 608 x 352 |\n| 0.3 | 16:9 | 736 x 416 |\n| 0.4 | 16:9 | 864 x 480 |\n| 0.5 | 16:9 | 960 x 544 |\n| 0.6 | 16:9 | 1056 x 608 |\n| 0.7 | 16:9 | 1152 x 640 |\n| 0.8 | 16:9 | 1216 x 672 |\n| 0.9 | 16:9 | 1280 x 736 |\n| 0.98 | 16:9 | 1344 x 768 (official 768p) |"},"color":"#222","bgcolor":"#000"},{"id":143,"type":"PrimitiveInt","pos":[-779.8179779276982,5102.480718071075],"size":[270,90],"flags":{},"order":6,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"INT","widget":{"name":"value"},"link":null}],"outputs":[{"localized_name":"INT","name":"INT","type":"INT","links":[284]}],"title":"Int (Full)","properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for 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S&R":"UNETLoader","models":[{"name":"minimax_h3_ref2va_pruned_int8_convrot.safetensors","url":"https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_ref2va_pruned_int8_convrot.safetensors","directory":"diffusion_models"}]},"widgets_values":["minimax_h3\\MiniMax-H3-Pruned-Ref-Delta-Fused-r1024-comfy-int8-convrot.safetensors","default"],"widgets_values_named":{"unet_name":"minimax_h3\\MiniMax-H3-Pruned-Ref-Delta-Fused-r1024-comfy-int8-convrot.safetensors","weight_dtype":"default"}},{"id":116,"type":"MarkdownNote","pos":[-2046.6195077727336,4861.425911593753],"size":[450,890],"flags":{},"order":12,"mode":0,"inputs":[],"outputs":[],"title":"Note: MiniMax H3","properties":{},"widgets_values":["## MiniMax H3\n\n[MiniMax H3](https://www.minimax.io/blog/minimax-h3) is MiniMax's general-purpose, omni-modal generation model. It jointly understands text, image, video, and audio, and generates video with **native stereo audio**: voice, sound effects, and music are modeled jointly in a single forward pass, not layered on afterward. Output is up to 2K resolution, 24fps, and up to about 15 seconds.\n\n## ComfyUI links\n- [ComfyUI#15224](https://github.com/Comfy-Org/ComfyUI/pull/15224)\n- [🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n## About this workflow\n\nThis template runs the **reference-to-video (ref2va)** task using the `MiniMaxH3ReferenceToVideo` node. It takes any mix of reference images, videos, and standalone audio, and weaves them into the generation to lock in a character's identity, a style, a motion, a camera move, or a voice.\n\n**Key inputs**\n\n- **ref_images / ref_videos / ref_video_audios / ref_audios**: up to 9 reference images, 3 reference videos (each may carry its own paired soundtrack), and 3 standalone reference audio clips\n- **prompt**: reference the inputs by tag, in the exact order they were connected, for example `<Picture 1>`, `<Video 1>`, `<Audio 1>`, then describe the target scene, motion, and audio\n- **ref_image_size**: `match` scales references down to the generation's resolution (faster); `max` keeps up to a 2048px short edge for stronger identity fidelity, at the cost of speed since reference tokens ride along every sampling step\n- **width / height**: set via Resolution Selector.\n- **duration (seconds)**: converted to a valid frame `length` by the Math Expression node\n\n**Sampling and decode**\n\n- Sampler: `res_multistep`. `beta` or `normal` scheduler tends to outperform `simple` for reference-heavy prompts like this one\n- The sampler's joint audio+video `LATENT` output feeds directly into both `VAEDecode` (video, `minimax_h3_video_vae_fp16`) and `VAEDecodeAudio` (audio, `minimax_h3_audio_vae_fp32`); each decode node automatically pulls its own half out of the packed latent. `CreateVideo` then muxes the two into a single MP4 with synced sound\n- The diffusion model here is `minimax_h3_ref2va_pruned_int8_convrot.safetensors`, a different set of weights from the `fl2va` model used by the t2v/i2v templates\n\nRef2va's output is very sensitive to prompt wording; matching the reference tags precisely and being explicit about which reference drives which part of the shot tends to work best."],"widgets_values_named":{"text":"## MiniMax H3\n\n[MiniMax H3](https://www.minimax.io/blog/minimax-h3) is MiniMax's general-purpose, omni-modal generation model. It jointly understands text, image, video, and audio, and generates video with **native stereo audio**: voice, sound effects, and music are modeled jointly in a single forward pass, not layered on afterward. Output is up to 2K resolution, 24fps, and up to about 15 seconds.\n\n## ComfyUI links\n- [ComfyUI#15224](https://github.com/Comfy-Org/ComfyUI/pull/15224)\n- [🤗 Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3)\n\n## About this workflow\n\nThis template runs the **reference-to-video (ref2va)** task using the `MiniMaxH3ReferenceToVideo` node. It takes any mix of reference images, videos, and standalone audio, and weaves them into the generation to lock in a character's identity, a style, a motion, a camera move, or a voice.\n\n**Key inputs**\n\n- **ref_images / ref_videos / ref_video_audios / ref_audios**: up to 9 reference images, 3 reference videos (each may carry its own paired soundtrack), and 3 standalone reference audio clips\n- **prompt**: reference the inputs by tag, in the exact order they were connected, for example `<Picture 1>`, `<Video 1>`, `<Audio 1>`, then describe the target scene, motion, and audio\n- **ref_image_size**: `match` scales references down to the generation's resolution (faster); `max` keeps up to a 2048px short edge for stronger identity fidelity, at the cost of speed since reference tokens ride along every sampling step\n- **width / height**: set via Resolution Selector.\n- **duration (seconds)**: converted to a valid frame `length` by the Math Expression node\n\n**Sampling and decode**\n\n- Sampler: `res_multistep`. `beta` or `normal` scheduler tends to outperform `simple` for reference-heavy prompts like this one\n- The sampler's joint audio+video `LATENT` output feeds directly into both `VAEDecode` (video, `minimax_h3_video_vae_fp16`) and `VAEDecodeAudio` (audio, `minimax_h3_audio_vae_fp32`); each decode node automatically pulls its own half out of the packed latent. `CreateVideo` then muxes the two into a single MP4 with synced sound\n- The diffusion model here is `minimax_h3_ref2va_pruned_int8_convrot.safetensors`, a different set of weights from the `fl2va` model used by the t2v/i2v templates\n\nRef2va's output is very sensitive to prompt wording; matching the reference tags precisely and being explicit about which reference drives which part of the shot tends to work best."},"color":"#222","bgcolor":"#000"},{"id":131,"type":"ComfyMathExpression","pos":[-1988.6949884979047,6436.7313866867435],"size":[225,128],"flags":{"collapsed":false},"order":19,"mode":0,"inputs":[{"label":"a","localized_name":"a","name":"values.a","type":"FLOAT,INT,BOOLEAN","link":261},{"localized_name":"b","name":"values.b","shape":7,"type":"FLOAT,INT,BOOLEAN","link":null},{"localized_name":"expression","name":"expression","type":"STRING","widget":{"name":"expression"},"link":null}],"outputs":[{"localized_name":"FLOAT","name":"FLOAT","type":"FLOAT","links":[]},{"localized_name":"INT","name":"INT","type":"INT","links":[387,399]},{"localized_name":"BOOL","name":"BOOL","type":"BOOLEAN","links":[]}],"properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for S&R":"ComfyMathExpression"},"widgets_values":["max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17"],"widgets_values_named":{"expression":"max(5, round(a * 24)) + (5 - (max(5, round(a * 24)) % 17)) % 17"}},{"id":122,"type":"VAEDecode","pos":[-32.02051136346695,5640.455913826375],"size":[230,60],"flags":{"collapsed":false},"order":28,"mode":0,"inputs":[{"localized_name":"samples","name":"samples","type":"LATENT","link":280},{"localized_name":"vae","name":"vae","type":"VAE","link":251}],"outputs":[{"localized_name":"IMAGE","name":"IMAGE","type":"IMAGE","links":[258,461]}],"properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for S&R":"VAEDecode"}},{"id":265,"type":"ModelPreviewOverrideKJ","pos":[-724.8466509753243,5952.565873961163],"size":[360,480],"flags":{},"order":24,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":400},{"localized_name":"vae","name":"vae","shape":7,"type":"VAE","link":null},{"localized_name":"audio_vae","name":"audio_vae","shape":7,"type":"VAE","link":null},{"localized_name":"max_resolution","name":"max_resolution","type":"INT","widget":{"name":"max_resolution"},"link":null},{"localized_name":"jpeg_quality","name":"jpeg_quality","type":"INT","widget":{"name":"jpeg_quality"},"link":null},{"localized_name":"suppress_default_preview","name":"suppress_default_preview","type":"BOOLEAN","widget":{"name":"suppress_default_preview"},"link":null},{"localized_name":"preview_frames","name":"preview_frames","type":"INT","widget":{"name":"preview_frames"},"link":399},{"localized_name":"preview_fps","name":"preview_fps","type":"INT","widget":{"name":"preview_fps"},"link":null},{"localized_name":"tiny_vae","name":"tiny_vae","shape":7,"type":"COMBO","widget":{"name":"tiny_vae"},"link":null}],"outputs":[{"localized_name":"MODEL","name":"MODEL","type":"MODEL","links":[401,402]}],"properties":{"cnr_id":"comfyui-kjnodes","ver":"3f20054214fec9f9234fd3841ae6f1e4287948f6","Node name for S&R":"ModelPreviewOverrideKJ"},"widgets_values":[1024,80,true,1,12,"taeh3.safetensors",""],"widgets_values_named":{"max_resolution":1024,"jpeg_quality":80,"suppress_default_preview":true,"preview_frames":1,"preview_fps":12,"tiny_vae":"taeh3.safetensors","preview":""}},{"id":138,"type":"PrimitiveStringMultiline","pos":[-334.5838912489569,5970.505740027374],"size":[456.5829243478182,390],"flags":{},"order":13,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"STRING","widget":{"name":"value"},"link":null}],"outputs":[{"localized_name":"STRING","name":"STRING","type":"STRING","links":[279]}],"title":"Input Text (Prompt)","properties":{"cnr_id":"comfy-core","ver":"0.33.0","Node name for S&R":"PrimitiveStringMultiline"},"widgets_values":["subject_definitions:\n<Subject 1> is the armored man from <Picture 1>. Preserve his exact recognizable facial identity, facial structure, eyes, nose, lips, hairstyle, hairline, skin appearance, armor, cloak, and overall appearance.\n<Subject 2> is the young boy from <Picture 1>, wearing the same cap and clothing.\n<Picture 1> is the exact first frame of [Shot 1] and the visual-aesthetic reference for the entire video. Preserve its cinematic realism, cool misty atmosphere, medieval stone architecture, muted blue-gray color palette, soft natural lighting, shallow depth of field, framing, and overall visual quality.\n\nsummary:\n[keyframe completion + reference generation] A five-second cinematic live-action sequence beginning exactly from <Picture 1>. <Subject 1> and <Subject 2> remain naturally posed for about one second. The boy then speaks angrily, runs out of frame to the right, and the man reacts with shock.\n\nretention_analysis:\n<Subject 1> (appears throughout [Shot 1]): fully_preserved - preserve the man's exact facial identity and appearance from <Picture 1> from the first frame to the final frame, including during his shocked reaction.\n<Subject 2> (appears in [Shot 1]): fully_preserved - preserve the boy's appearance and clothing from <Picture 1>.\n<Picture 1> ([Shot 1] first frame and visual aesthetic): fully_preserved - begin from the exact reference composition and maintain its cinematic aesthetic, lighting, atmosphere, color palette, and environmental style throughout the video.\n\ndetailed_description:\nThe target video preserves the exact cinematic realism and visual aesthetic of <Picture 1> throughout: cool misty daylight, pale medieval stone architecture, subtle warm lanterns, muted blue-gray tones, natural skin detail, shallow depth of field, and polished cinematic image quality.\n\n[Shot 1] The shot begins exactly from <Picture 1>. <Subject 1> remains kneeling while holding the metal helmet, and <Subject 2> stands naturally beside him with one hand near the helmet. Both remain still with subtle natural breathing and small realistic movements for approximately one second.\n\nAt approximately 00:01.000, <Subject 2> (S1) looks at <Subject 1> with a slightly angry expression and says quickly in a slightly angry young-boy voice, <d>[English] Oppenheimer sucks. Robert Downney is a better actor.</d>\n\nImmediately after finishing the sentence, <Subject 2> turns and quickly runs out of the frame to the right.\n\n<Subject 1> remains where he is and reacts with sudden surprise and shock, briefly staring after the boy with widened eyes and a stunned expression.\n\nPreserve <Subject 1>'s exact facial identity throughout the entire reaction. Do not alter, reinterpret, replace, or morph his face.\n\nThe camera remains stable and the original cinematic aesthetic of <Picture 1> remains unchanged until the end.\n\noverall_soundscape:\nQuiet misty medieval-street ambience, subtle distant environmental sound, the boy's dialogue, light clothing movement, and quick footsteps as he runs away.\n\nnon_diegetic_music:\nN/A"],"widgets_values_named":{"value":"subject_definitions:\n<Subject 1> is the armored man from <Picture 1>. Preserve his exact recognizable facial identity, facial structure, eyes, nose, lips, hairstyle, hairline, skin appearance, armor, cloak, and overall appearance.\n<Subject 2> is the young boy from <Picture 1>, wearing the same cap and clothing.\n<Picture 1> is the exact first frame of [Shot 1] and the visual-aesthetic reference for the entire video. 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Do not alter, reinterpret, replace, or morph his face.\n\nThe camera remains stable and the original cinematic aesthetic of <Picture 1> remains unchanged until the end.\n\noverall_soundscape:\nQuiet misty medieval-street ambience, subtle distant environmental sound, the boy's dialogue, light clothing movement, and quick footsteps as he runs away.\n\nnon_diegetic_music:\nN/A"},"color":"#322","bgcolor":"#533"},{"id":283,"type":"LoraLoaderModelOnly","pos":[-1256.7363817889202,4684.849525684038],"size":[270,82],"flags":{},"order":18,"mode":0,"inputs":[{"localized_name":"model","name":"model","type":"MODEL","link":444},{"localized_name":"lora_name","name":"lora_name","type":"COMBO","widget":{"name":"lora_name"},"link":null},{"localized_name":"strength_model","name":"strength_model","type":"FLOAT","widget":{"name":"strength_model"},"link":null}],"outputs":[{"localized_name":"MODEL","name":"MODEL","type":"MODEL","links":[445]}],"properties":{"cnr_id":"comfy-core","ver":"0.34.2","Node name for 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