| { |
| "unet": { |
| "class_type": "UNETLoader", |
| "_meta": { |
| "title": "stock MiniMax-H3 fl2va" |
| }, |
| "inputs": { |
| "unet_name": "minimax_h3_fl2va_bf16.safetensors", |
| "weight_dtype": "default" |
| } |
| }, |
| "teach": { |
| "class_type": "LoraLoaderModelOnly", |
| "_meta": { |
| "title": "Meridian teacher (re-camera)" |
| }, |
| "inputs": { |
| "model": [ |
| "unet", |
| 0 |
| ], |
| "lora_name": "meridian_teacher_lora.safetensors", |
| "strength_model": 1.0 |
| } |
| }, |
| "turbo": { |
| "class_type": "LoraLoaderModelOnly", |
| "_meta": { |
| "title": "Meridian turbo (3-forward DMD)" |
| }, |
| "inputs": { |
| "model": [ |
| "teach", |
| 0 |
| ], |
| "lora_name": "meridian_turbo_lora.safetensors", |
| "strength_model": 1.0 |
| } |
| }, |
| "shift": { |
| "class_type": "MiniMaxH3SigmaShift", |
| "_meta": { |
| "title": "shift 3 (student); 12 for teacher alone" |
| }, |
| "inputs": { |
| "model": [ |
| "turbo", |
| 0 |
| ], |
| "shift_video": 3.0, |
| "shift_audio": 3.0 |
| } |
| }, |
| "clip": { |
| "class_type": "CLIPLoader", |
| "inputs": { |
| "clip_name": "qwen3vl_32b_minimax_h3_bf16.safetensors", |
| "type": "minimax" |
| } |
| }, |
| "vae": { |
| "class_type": "VAELoader", |
| "inputs": { |
| "vae_name": "minimax_h3_video_vae_fp16.safetensors" |
| } |
| }, |
| "avae": { |
| "class_type": "VAELoader", |
| "inputs": { |
| "vae_name": "minimax_h3_audio_vae_fp32.safetensors" |
| } |
| }, |
| "ref": { |
| "class_type": "MiniMaxH3ReferenceToVideo", |
| "_meta": { |
| "title": "refs at the 480 class, target at the 768 class" |
| }, |
| "inputs": { |
| "clip": [ |
| "clip", |
| 0 |
| ], |
| "vae": [ |
| "vae", |
| 0 |
| ], |
| "audio_vae": [ |
| "avae", |
| 0 |
| ], |
| "prompt": "subject_definitions:\n<Video 1> is the source video for the editing task.\n<Video 2> is a rough render of the same scene from the new camera: the pixels of <Video 1> re-projected through a point cloud, so wherever it shows content its colours, framing and layout are correct, and its flat mid-grey areas are holes where the source camera saw nothing.\n\nsummary:\n[video editing + viewpoint change] The target video shows exactly the same scene as <Video 1>, at exactly the same moments in time, filmed by the second camera that <Video 2> was rendered from. Every subject, every piece of clothing, the background, the lighting and the whole performance are the ones in <Video 1>; only the camera differs, so the same things are seen from a different angle and at a different distance. The target video is <Video 2> completed: its framing and everything it shows are kept, and its grey holes are filled with what belongs there.\n\nretention_analysis:\n<Video 1> (source video editing): fully_preserved - the subjects, their faces, hair, build and clothing, the background, the props and the lighting are the same objects seen from a new viewpoint, and the motion and its timing are frame for frame the motion of <Video 1>. Nothing is added, removed or restyled.\n<Video 2> (layout reference): fully_preserved - the camera path, the framing and the placement of everything it shows are kept exactly; its grey holes are not content and are filled in so that they agree with <Video 1>, and its speckles and jagged edges are cleaned up.\n\ndetailed_description:\n[Shot 1] One continuous shot of the scene of <Video 1>, framed exactly as <Video 2> is, frame for frame. The subjects perform the motion of <Video 1> with the same timing, in the same place, under the same lighting. The camera moves exactly as the camera of <Video 2> does, and there is no cut.\n\noverall_soundscape:\nNo music and no speech.", |
| "width": [ |
| "geo", |
| 2 |
| ], |
| "height": [ |
| "geo", |
| 3 |
| ], |
| "length": [ |
| "geo", |
| 4 |
| ], |
| "ref_image_size": "match", |
| "ref_videos.ref_video_0": [ |
| "geo", |
| 0 |
| ], |
| "ref_videos.ref_video_1": [ |
| "geo", |
| 1 |
| ] |
| } |
| }, |
| "froz": { |
| "class_type": "MeridianFrozenPrompt", |
| "_meta": { |
| "title": "swap in the frozen prompt embed" |
| }, |
| "inputs": { |
| "conditioning": [ |
| "ref", |
| 0 |
| ], |
| "latent": [ |
| "ref", |
| 1 |
| ], |
| "assets_dir": "/path/to/release_recam/assets" |
| } |
| }, |
| "ks": { |
| "class_type": "KSampler", |
| "_meta": { |
| "title": "3 forwards on sigma 1.0 / 0.857 / 0.600" |
| }, |
| "inputs": { |
| "model": [ |
| "shift", |
| 0 |
| ], |
| "positive": [ |
| "froz", |
| 0 |
| ], |
| "negative": [ |
| "froz", |
| 0 |
| ], |
| "latent_image": [ |
| "ref", |
| 1 |
| ], |
| "seed": 1234, |
| "steps": 3, |
| "cfg": 1.0, |
| "sampler_name": "euler", |
| "scheduler": "simple", |
| "denoise": 1.0 |
| } |
| }, |
| "dec": { |
| "class_type": "VAEDecode", |
| "inputs": { |
| "samples": [ |
| "ks", |
| 0 |
| ], |
| "vae": [ |
| "vae", |
| 0 |
| ] |
| } |
| }, |
| "mk": { |
| "class_type": "CreateVideo", |
| "inputs": { |
| "images": [ |
| "dec", |
| 0 |
| ], |
| "fps": 24.0 |
| } |
| }, |
| "save": { |
| "class_type": "SaveVideo", |
| "inputs": { |
| "video": [ |
| "mk", |
| 0 |
| ], |
| "filename_prefix": "meridian/out", |
| "format": "mp4", |
| "codec": "h264" |
| } |
| }, |
| "geo": { |
| "class_type": "MeridianGeometry", |
| "_meta": { |
| "title": "VGGT-Omega unproject + re-render" |
| }, |
| "inputs": { |
| "video": "/path/to/clip.mp4", |
| "args": "--pivot 0.5,0.55 --boom 0.35 --ease --sweep", |
| "repo": "/path/to/release_recam", |
| "python": "python" |
| } |
| } |
| } |
