Efficient-Large-Model/Open-H3-Regenerate-2K-IC

video-to-video model by Efficient-Large-Model

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Regenerates a low-resolution MiniMax-H3 draft (768P, 1344×768) at 1080P, 2K (2560×1440) or 4K (3840×2160) while keeping the draft's faces, lip sync, lettering and layout. The draft stays in the context of MiniMax-H3's Ref2VA transformer (transformerref) as a reference video; an in-context (IC) LoRA on that transformer generates the high-resolution version of the same clip. Project page · Code basemodel/ mirrors MiniMaxAI/MiniMax-H3 @ 42ed227 without changes (only the components the IC pipeline uses; the T2V transformer/, the audio VAE and the native FL2VA/ and Ref2VA/ folders are left out). infer/download.py fetches everything here (--base-from-minimax takes basemodel/ from the official repository instead) plus LMS Sharp's [1025, 8] adalnttable, read by byte range from Comfy-Org/MiniMax-H3. up3 and up4 first enlarge the draft with the latent upscaler, noise it to σ 0.835 / 0.923 and run the last 3 / 4 points of the HyperFlow 8-step grid; hf8 starts from noise and runs all…

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MiniMax H3 Community License

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Model overview

Efficient-Large-Model/Open-H3-Regenerate-2K-IC is a video-to-video model repository published by Efficient-Large-Model on Hugging Face. The source reports the minimax-h3 library.

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Model facts

Task: video-to-video
Library: minimax-h3
Recent downloads (30 days): 41,159
Cumulative likes: 66
Hugging Face trending score: 66
Reported safetensors parameters: Not reported
Architecture: Not reported
License: other
Access: Not gated by Hugging Face
Created: 2026-11-09T01:50:47.000Z
Last modified: 2026-11-09T02:17:15.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: MiniMaxAI/MiniMax-H3

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