alibaba-pai/MiniMax-H3-Fun-Controlnet-Union-2.0

text-to-video model by alibaba-pai

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[](https://github.com/aigc-apps/VideoX-Fun) Everything else is carried over from v1: controlindim = 49 (latent + masked latent + mask, so the same branch does control and inpaint), controlapplyaudio = false, guidance-distilled (guidancescale = 1.0), and the same zero-gated skip-add into the main branch. The Layout control videos follow the layout generation recipe of Wan2.1-VACE: per-subject bounding boxes (detected/tracked or given directly) are rendered as color-coded boxes on a white background, producing an ordinary RGB video that conditions the model. You can reuse the VACE-Annotators preprocessing tools (e.g. vacepreproccess.py --task layouttrack ...) to produce layout videos from a reference video or a pair of bboxes. All samples below are generated with numinferencesteps = 40, guidancescale = 1.0, controlcontextscale = 1.00, seed 43, canvas mode control at a 704×1280 pixel budget, 24 fps. In each pair the top row is the control video, the bottom row is the output. CannyDepthHEDMLSD PoseScribble ✨Layout ✨Gray ✨…

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Model overview

alibaba-pai/MiniMax-H3-Fun-Controlnet-Union-2.0 is a text-to-video model repository published by alibaba-pai on Hugging Face. The source reports the videox_fun library.

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Model facts

Task: text-to-video
Library: videox_fun
Recent downloads (30 days): 3,320
Cumulative likes: 44
Hugging Face trending score: 41
Reported safetensors parameters: Not reported
Architecture: Not reported
License: other
Access: Not gated by Hugging Face
Created: 2026-09-22T03:26:09.000Z
Last modified: 2026-09-22T09:57:14.000Z

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