{
 "_readme": "EP46 presenter chain (askaillex.com). ComfyUI API-format graphs as sent to /prompt on the :8010 sandbox: 'previews' renders three 960x544 seed candidates from two reference pictures with a locked master voice track (H3SeedHunter nodes from the Everything-Is-Melting package by u/Relevant_Eggplant180, built on Fox Fur Essence's SeedHunter and Seitanism's Motion-Context; LBH-123-AI latent upscaler); 'finish' latent-upscales the picked candidate to 1664x928 with an 8-step er_sde refine at 0.4 denoise. Replace the four YOUR_* inputs. Our identity LoRA is not distributed; run without the 'xl' node or with your own.",
 "previews": {
  "unet": {
   "class_type": "UNETLoader",
   "inputs": {
    "unet_name": "minimax_h3_ref2va_pruned_int8_convrot.safetensors",
    "weight_dtype": "default"
   }
  },
  "attn": {
   "class_type": "ModelAttentionBackend",
   "inputs": {
    "model": [
     "unet",
     0
    ],
    "attention": "comfy kitchen attention"
   }
  },
  "lora": {
   "class_type": "LoraLoaderModelOnly",
   "inputs": {
    "model": [
     "attn",
     0
    ],
    "lora_name": "minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors",
    "strength_model": 1.0
   }
  },
  "shift": {
   "class_type": "MiniMaxH3SigmaShift",
   "inputs": {
    "model": [
     "xl",
     0
    ],
    "shift_video": 12.0,
    "shift_audio": 3.0
   }
  },
  "clip": {
   "class_type": "CLIPLoader",
   "inputs": {
    "clip_name": "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
    "type": "minimax",
    "device": "default"
   }
  },
  "vv": {
   "class_type": "VAELoader",
   "inputs": {
    "vae_name": "minimax_h3_video_vae_fp16.safetensors"
   }
  },
  "va": {
   "class_type": "VAELoader",
   "inputs": {
    "vae_name": "minimax_h3_audio_vae_fp32.safetensors"
   }
  },
  "img1": {
   "class_type": "LoadImage",
   "inputs": {
    "image": "YOUR_FACE_PLATE_head_only.png"
   }
  },
  "img2": {
   "class_type": "LoadImage",
   "inputs": {
    "image": "YOUR_BODY_PLATE_neutral_wall.png"
   }
  },
  "aud": {
   "class_type": "H3SeedHunterAudioInput",
   "inputs": {
    "audio_mode": "locked audio",
    "audio_file": "C:\\AI\\comfy32\\input\\ep46\\vo\\ch1a_master.wav"
   }
  },
  "src": {
   "class_type": "H3SeedHunterSourceVideoFFmpeg",
   "inputs": {
    "start_mode": "new clip",
    "video": "",
    "use_source_audio": true
   }
  },
  "cond": {
   "class_type": "MiniMaxH3ReferenceToVideo",
   "inputs": {
    "clip": [
     "clip",
     0
    ],
    "vae": [
     "vv",
     0
    ],
    "audio_vae": [
     "va",
     0
    ],
    "prompt": "subject_definitions:\n<Subject 1> is the main performer. <Picture 1> defines facial identity and <Picture 2> defines full-body appearance, wardrobe, proportions, and distinguishing details.\n\nsummary:\n[reference generation] Create one continuous cinematic shot in which <Subject 1> speaks the current section of the supplied master voice track directly to camera in the chosen environment. Preserve identity, wardrobe and visual continuity throughout.\n\nretention_analysis:\n<Subject 1> (appears throughout [Shot 1]): fully_preserved - retain facial identity, hair, body proportions, wardrobe, colors, and stable distinguishing features while allowing natural pose, expression, framing, lighting, and movement. <Subject 1> is TALL: about 178 cm, long-legged, with athletic model proportions; keep her full height relative to doors, furniture and objects in every frame.\n\ndetailed_description:\nUse a cinematic, photorealistic film style with coherent anatomy, readable facial detail, natural body mechanics and stable environmental geometry.\n\nLighting priority: a soft, bright key light on her face and eyes in every frame; her skin tone exactly as in <Picture 1>; exposure set for her face rather than for the environment; the environment may be moody, she is not.\n[Shot 1] Environment and action: A bright daylight loft apartment: tall factory windows with soft overcast light, white-painted brick, a leather sofa and a rubber plant behind her. <Subject 1> stands centre frame in a medium shot with soft window light on her face and speaks directly to camera.\n<Subject 1> speaks the exact current voice-track section directly to camera with clearly visible, naturally synchronized mouth and jaw articulation, breathing, a warm natural expression and small relaxed hand gestures. One locked-off medium shot for the whole clip: the camera holds its framing from the first frame to the last, and the room, the light and everything in it stay exactly as they are.\n\noverall_soundscape:\nPreserve the supplied soundtrack as configured by the selected audio mode. Keep any generated diegetic ambience restrained and appropriate to the visible environment.\n\nnon_diegetic_music:\nThe supplied master voice-track section remains the authoritative vocal timeline. Synchronize the visible performance to that exact section without restarting, replacing, or reinterpreting it.",
    "width": 960,
    "height": 544,
    "length": 243,
    "ref_image_size": "match",
    "ref_images.ref_image_0": [
     "img1",
     0
    ],
    "ref_images.ref_image_1": [
     "img2",
     0
    ]
   }
  },
  "ctx": {
   "class_type": "H3SeedHunterAVContext",
   "inputs": {
    "latent": [
     "cond",
     1
    ],
    "vae": [
     "vv",
     0
    ],
    "audio_vae": [
     "va",
     0
    ],
    "audio_mode": [
     "aud",
     0
    ],
    "clip_start_seconds": 0.0,
    "context_length": 39,
    "master_audio": [
     "aud",
     1
    ],
    "source_frames": [
     "src",
     0
    ],
    "source_audio": [
     "src",
     1
    ]
   }
  },
  "sampler": {
   "class_type": "KSamplerSelect",
   "inputs": {
    "sampler_name": "res_multistep"
   }
  },
  "xl": {
   "class_type": "LoraLoaderModelOnly",
   "inputs": {
    "model": [
     "lora",
     0
    ],
    "lora_name": "YOUR_H3_IDENTITY_LORA.safetensors",
    "strength_model": 0.7
   }
  },
  "sigmas": {
   "class_type": "BasicScheduler",
   "inputs": {
    "model": [
     "shift",
     0
    ],
    "scheduler": "simple",
    "steps": 8,
    "denoise": 1.0
   }
  },
  "n0": {
   "class_type": "RandomNoise",
   "inputs": {
    "noise_seed": 46000
   }
  },
  "g0": {
   "class_type": "BasicGuider",
   "inputs": {
    "model": [
     "shift",
     0
    ],
    "conditioning": [
     "cond",
     0
    ]
   }
  },
  "s0": {
   "class_type": "SamplerCustomAdvanced",
   "inputs": {
    "noise": [
     "n0",
     0
    ],
    "guider": [
     "g0",
     0
    ],
    "sampler": [
     "sampler",
     0
    ],
    "sigmas": [
     "sigmas",
     0
    ],
    "latent_image": [
     "ctx",
     0
    ]
   }
  },
  "d0": {
   "class_type": "VAEDecode",
   "inputs": {
    "samples": [
     "s0",
     0
    ],
    "vae": [
     "vv",
     0
    ]
   }
  },
  "a0": {
   "class_type": "H3SeedHunterOutputAudio",
   "inputs": {
    "latent": [
     "s0",
     1
    ],
    "audio_vae": [
     "va",
     0
    ],
    "audio_mode": [
     "aud",
     0
    ],
    "locked_clip_audio": [
     "ctx",
     2
    ]
   }
  },
  "v0": {
   "class_type": "VHS_VideoCombine",
   "inputs": {
    "images": [
     "d0",
     0
    ],
    "audio": [
     "a0",
     0
    ],
    "frame_rate": 24,
    "loop_count": 0,
    "filename_prefix": "ep46/pres/ch1a/clip1_s46000_p1",
    "format": "video/h264-mp4",
    "pix_fmt": "yuv420p",
    "crf": 19,
    "save_metadata": true,
    "trim_to_audio": false,
    "pingpong": false,
    "save_output": true
   }
  },
  "n1": {
   "class_type": "RandomNoise",
   "inputs": {
    "noise_seed": 46001
   }
  },
  "g1": {
   "class_type": "BasicGuider",
   "inputs": {
    "model": [
     "shift",
     0
    ],
    "conditioning": [
     "cond",
     0
    ]
   }
  },
  "s1": {
   "class_type": "SamplerCustomAdvanced",
   "inputs": {
    "noise": [
     "n1",
     0
    ],
    "guider": [
     "g1",
     0
    ],
    "sampler": [
     "sampler",
     0
    ],
    "sigmas": [
     "sigmas",
     0
    ],
    "latent_image": [
     "ctx",
     0
    ]
   }
  },
  "d1": {
   "class_type": "VAEDecode",
   "inputs": {
    "samples": [
     "s1",
     0
    ],
    "vae": [
     "vv",
     0
    ]
   }
  },
  "a1": {
   "class_type": "H3SeedHunterOutputAudio",
   "inputs": {
    "latent": [
     "s1",
     1
    ],
    "audio_vae": [
     "va",
     0
    ],
    "audio_mode": [
     "aud",
     0
    ],
    "locked_clip_audio": [
     "ctx",
     2
    ]
   }
  },
  "v1": {
   "class_type": "VHS_VideoCombine",
   "inputs": {
    "images": [
     "d1",
     0
    ],
    "audio": [
     "a1",
     0
    ],
    "frame_rate": 24,
    "loop_count": 0,
    "filename_prefix": "ep46/pres/ch1a/clip1_s46000_p2",
    "format": "video/h264-mp4",
    "pix_fmt": "yuv420p",
    "crf": 19,
    "save_metadata": true,
    "trim_to_audio": false,
    "pingpong": false,
    "save_output": true
   }
  },
  "n2": {
   "class_type": "RandomNoise",
   "inputs": {
    "noise_seed": 46002
   }
  },
  "g2": {
   "class_type": "BasicGuider",
   "inputs": {
    "model": [
     "shift",
     0
    ],
    "conditioning": [
     "cond",
     0
    ]
   }
  },
  "s2": {
   "class_type": "SamplerCustomAdvanced",
   "inputs": {
    "noise": [
     "n2",
     0
    ],
    "guider": [
     "g2",
     0
    ],
    "sampler": [
     "sampler",
     0
    ],
    "sigmas": [
     "sigmas",
     0
    ],
    "latent_image": [
     "ctx",
     0
    ]
   }
  },
  "d2": {
   "class_type": "VAEDecode",
   "inputs": {
    "samples": [
     "s2",
     0
    ],
    "vae": [
     "vv",
     0
    ]
   }
  },
  "a2": {
   "class_type": "H3SeedHunterOutputAudio",
   "inputs": {
    "latent": [
     "s2",
     1
    ],
    "audio_vae": [
     "va",
     0
    ],
    "audio_mode": [
     "aud",
     0
    ],
    "locked_clip_audio": [
     "ctx",
     2
    ]
   }
  },
  "v2": {
   "class_type": "VHS_VideoCombine",
   "inputs": {
    "images": [
     "d2",
     0
    ],
    "audio": [
     "a2",
     0
    ],
    "frame_rate": 24,
    "loop_count": 0,
    "filename_prefix": "ep46/pres/ch1a/clip1_s46000_p3",
    "format": "video/h264-mp4",
    "pix_fmt": "yuv420p",
    "crf": 19,
    "save_metadata": true,
    "trim_to_audio": false,
    "pingpong": false,
    "save_output": true
   }
  }
 },
 "finish": {
  "unet": {
   "class_type": "UNETLoader",
   "inputs": {
    "unet_name": "minimax_h3_ref2va_pruned_int8_convrot.safetensors",
    "weight_dtype": "default"
   }
  },
  "attn": {
   "class_type": "ModelAttentionBackend",
   "inputs": {
    "model": [
     "unet",
     0
    ],
    "attention": "comfy kitchen attention"
   }
  },
  "lora": {
   "class_type": "LoraLoaderModelOnly",
   "inputs": {
    "model": [
     "attn",
     0
    ],
    "lora_name": "minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors",
    "strength_model": 1.0
   }
  },
  "shift": {
   "class_type": "MiniMaxH3SigmaShift",
   "inputs": {
    "model": [
     "xl",
     0
    ],
    "shift_video": 12.0,
    "shift_audio": 3.0
   }
  },
  "clip": {
   "class_type": "CLIPLoader",
   "inputs": {
    "clip_name": "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
    "type": "minimax",
    "device": "default"
   }
  },
  "vv": {
   "class_type": "VAELoader",
   "inputs": {
    "vae_name": "minimax_h3_video_vae_fp16.safetensors"
   }
  },
  "va": {
   "class_type": "VAELoader",
   "inputs": {
    "vae_name": "minimax_h3_audio_vae_fp32.safetensors"
   }
  },
  "img1": {
   "class_type": "LoadImage",
   "inputs": {
    "image": "YOUR_FACE_PLATE_head_only.png"
   }
  },
  "img2": {
   "class_type": "LoadImage",
   "inputs": {
    "image": "YOUR_BODY_PLATE_neutral_wall.png"
   }
  },
  "aud": {
   "class_type": "H3SeedHunterAudioInput",
   "inputs": {
    "audio_mode": "locked audio",
    "audio_file": "C:\\AI\\comfy32\\input\\ep46\\vo\\ch1a_master.wav"
   }
  },
  "src": {
   "class_type": "H3SeedHunterSourceVideoFFmpeg",
   "inputs": {
    "start_mode": "new clip",
    "video": "",
    "use_source_audio": true
   }
  },
  "cond": {
   "class_type": "MiniMaxH3ReferenceToVideo",
   "inputs": {
    "clip": [
     "clip",
     0
    ],
    "vae": [
     "vv",
     0
    ],
    "audio_vae": [
     "va",
     0
    ],
    "prompt": "subject_definitions:\n<Subject 1> is the main performer. <Picture 1> defines facial identity and <Picture 2> defines full-body appearance, wardrobe, proportions, and distinguishing details.\n\nsummary:\n[reference generation] Create one continuous cinematic shot in which <Subject 1> speaks the current section of the supplied master voice track directly to camera in the chosen environment. Preserve identity, wardrobe and visual continuity throughout.\n\nretention_analysis:\n<Subject 1> (appears throughout [Shot 1]): fully_preserved - retain facial identity, hair, body proportions, wardrobe, colors, and stable distinguishing features while allowing natural pose, expression, framing, lighting, and movement. <Subject 1> is TALL: about 178 cm, long-legged, with athletic model proportions; keep her full height relative to doors, furniture and objects in every frame.\n\ndetailed_description:\nUse a cinematic, photorealistic film style with coherent anatomy, readable facial detail, natural body mechanics and stable environmental geometry.\n\nLighting priority: a soft, bright key light on her face and eyes in every frame; her skin tone exactly as in <Picture 1>; exposure set for her face rather than for the environment; the environment may be moody, she is not.\n[Shot 1] Environment and action: A bright daylight loft apartment: tall factory windows with soft overcast light, white-painted brick, a leather sofa and a rubber plant behind her. <Subject 1> stands centre frame in a medium shot with soft window light on her face and speaks directly to camera.\n<Subject 1> speaks the exact current voice-track section directly to camera with clearly visible, naturally synchronized mouth and jaw articulation, breathing, a warm natural expression and small relaxed hand gestures. One locked-off medium shot for the whole clip: the camera holds its framing from the first frame to the last, and the room, the light and everything in it stay exactly as they are.\n\noverall_soundscape:\nPreserve the supplied soundtrack as configured by the selected audio mode. Keep any generated diegetic ambience restrained and appropriate to the visible environment.\n\nnon_diegetic_music:\nThe supplied master voice-track section remains the authoritative vocal timeline. Synchronize the visible performance to that exact section without restarting, replacing, or reinterpreting it.",
    "width": 960,
    "height": 544,
    "length": 243,
    "ref_image_size": "match",
    "ref_images.ref_image_0": [
     "img1",
     0
    ],
    "ref_images.ref_image_1": [
     "img2",
     0
    ]
   }
  },
  "ctx": {
   "class_type": "H3SeedHunterAVContext",
   "inputs": {
    "latent": [
     "cond",
     1
    ],
    "vae": [
     "vv",
     0
    ],
    "audio_vae": [
     "va",
     0
    ],
    "audio_mode": [
     "aud",
     0
    ],
    "clip_start_seconds": 0.0,
    "context_length": 39,
    "master_audio": [
     "aud",
     1
    ],
    "source_frames": [
     "src",
     0
    ],
    "source_audio": [
     "src",
     1
    ]
   }
  },
  "sampler": {
   "class_type": "KSamplerSelect",
   "inputs": {
    "sampler_name": "res_multistep"
   }
  },
  "xl": {
   "class_type": "LoraLoaderModelOnly",
   "inputs": {
    "model": [
     "lora",
     0
    ],
    "lora_name": "YOUR_H3_IDENTITY_LORA.safetensors",
    "strength_model": 0.7
   }
  },
  "sigmas": {
   "class_type": "BasicScheduler",
   "inputs": {
    "model": [
     "shift",
     0
    ],
    "scheduler": "simple",
    "steps": 8,
    "denoise": 1.0
   }
  },
  "n2": {
   "class_type": "RandomNoise",
   "inputs": {
    "noise_seed": 46002
   }
  },
  "g2": {
   "class_type": "BasicGuider",
   "inputs": {
    "model": [
     "shift",
     0
    ],
    "conditioning": [
     "cond",
     0
    ]
   }
  },
  "s2": {
   "class_type": "SamplerCustomAdvanced",
   "inputs": {
    "noise": [
     "n2",
     0
    ],
    "guider": [
     "g2",
     0
    ],
    "sampler": [
     "sampler",
     0
    ],
    "sigmas": [
     "sigmas",
     0
    ],
    "latent_image": [
     "ctx",
     0
    ]
   }
  },
  "d2": {
   "class_type": "VAEDecode",
   "inputs": {
    "samples": [
     "s2",
     0
    ],
    "vae": [
     "vv",
     0
    ]
   }
  },
  "a2": {
   "class_type": "H3SeedHunterOutputAudio",
   "inputs": {
    "latent": [
     "s2",
     1
    ],
    "audio_vae": [
     "va",
     0
    ],
    "audio_mode": [
     "aud",
     0
    ],
    "locked_clip_audio": [
     "ctx",
     2
    ]
   }
  },
  "v2": {
   "class_type": "VHS_VideoCombine",
   "inputs": {
    "images": [
     "d2",
     0
    ],
    "audio": [
     "a2",
     0
    ],
    "frame_rate": 24,
    "loop_count": 0,
    "filename_prefix": "ep46/pres/ch1a/clip1_s46000_p3",
    "format": "video/h264-mp4",
    "pix_fmt": "yuv420p",
    "crf": 19,
    "save_metadata": true,
    "trim_to_audio": false,
    "pingpong": false,
    "save_output": true
   }
  },
  "sep": {
   "class_type": "LTXVSeparateAVLatent",
   "inputs": {
    "av_latent": [
     "s2",
     1
    ]
   }
  },
  "up": {
   "class_type": "MinimaxH3LatentUpscaler3D",
   "inputs": {
    "latent": [
     "sep",
     0
    ],
    "model_name": "minimax_h3_latent_upscaler_3d_conv_v1_fp16.safetensors",
    "mode": "target dimensions",
    "mode.width": 1664,
    "mode.height": 928,
    "align": 32,
    "enable_temporal_chunking": false,
    "force_unload": false,
    "device": "cuda",
    "precision": "bf16"
   }
  },
  "cat": {
   "class_type": "LTXVConcatAVLatent",
   "inputs": {
    "video_latent": [
     "up",
     0
    ],
    "audio_latent": [
     "sep",
     1
    ]
   }
  },
  "ref": {
   "class_type": "H3SeedHunterRefineContext",
   "inputs": {
    "latent": [
     "cat",
     0
    ],
    "vae": [
     "vv",
     0
    ],
    "overlap_frames": [
     "ctx",
     1
    ],
    "source_frames": [
     "src",
     0
    ]
   }
  },
  "fn": {
   "class_type": "RandomNoise",
   "inputs": {
    "noise_seed": 444
   }
  },
  "fs": {
   "class_type": "KSamplerSelect",
   "inputs": {
    "sampler_name": "er_sde"
   }
  },
  "fsig": {
   "class_type": "BasicScheduler",
   "inputs": {
    "model": [
     "shift",
     0
    ],
    "scheduler": "linear_quadratic",
    "steps": 8,
    "denoise": 0.4
   }
  },
  "fg": {
   "class_type": "BasicGuider",
   "inputs": {
    "model": [
     "shift",
     0
    ],
    "conditioning": [
     "cond",
     0
    ]
   }
  },
  "fsamp": {
   "class_type": "SamplerCustomAdvanced",
   "inputs": {
    "noise": [
     "fn",
     0
    ],
    "guider": [
     "fg",
     0
    ],
    "sampler": [
     "fs",
     0
    ],
    "sigmas": [
     "fsig",
     0
    ],
    "latent_image": [
     "ref",
     0
    ]
   }
  },
  "fdec": {
   "class_type": "VAEDecode",
   "inputs": {
    "samples": [
     "fsamp",
     0
    ],
    "vae": [
     "vv",
     0
    ]
   }
  },
  "faud": {
   "class_type": "H3SeedHunterOutputAudio",
   "inputs": {
    "latent": [
     "fsamp",
     0
    ],
    "audio_vae": [
     "va",
     0
    ],
    "audio_mode": [
     "aud",
     0
    ],
    "locked_clip_audio": [
     "ctx",
     2
    ]
   }
  },
  "fsave": {
   "class_type": "MiniMaxH3MotionContextSaveLatent",
   "inputs": {
    "latent": [
     "fsamp",
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    ],
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   }
  },
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   "class_type": "VHS_VideoCombine",
   "inputs": {
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     0
    ],
    "audio": [
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    ],
    "frame_rate": 24,
    "loop_count": 0,
    "filename_prefix": "ep46/pres/ch1a/clip1_s46000_p3_final",
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    "save_metadata": true,
    "trim_to_audio": false,
    "pingpong": false,
    "save_output": true
   }
  },
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   "class_type": "H3SeedHunterAssemble",
   "inputs": {
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     0
    ],
    "audio": [
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    ],
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    ],
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    ],
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   }
  },
  "full": {
   "class_type": "VHS_VideoCombine",
   "inputs": {
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    ],
    "audio": [
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    ],
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    "loop_count": 0,
    "filename_prefix": "ep46/pres/ch1a/clip1_full",
    "format": "video/h264-mp4",
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    "trim_to_audio": false,
    "pingpong": false,
    "save_output": true
   }
  }
 }
}