MooreThreads/Moore-AnimateAnyone

Health v2 · maintenance only

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3514 stars · 295 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open-source reproduction of AnimateAnyone that animates a character from a single reference image using pose sequences from a driving video, built on diffusion models. It also includes a face reenactment pipeline that controls facial expression and head motion from facial landmarks while preserving identity.

Use cases

• animate a character image with a driving pose video
• face reenactment from facial landmarks
• generate talking head videos from a source portrait
• train custom character animation models
• reproduce AnimateAnyone paper results
• create AI-generated dance or motion videos from photos

When to choose

• you want an open-source implementation of AnimateAnyone with pretrained weights
• you need pose-driven character animation or face reenactment in Python
• you want training scripts to build your own animation models

When to avoid

• you need production-quality results matching the original paper exactly (this reaches roughly 80% of it)
• you need audio-driven portrait video generation (not yet released)
• you lack a GPU or cannot run diffusion inference locally

Facets

library · maturity active

machine-learning deep-learning image-processing video-processing stable-diffusion artificial-intelligence computer-vision image-processing deep-learning python character-animation pose-driven-animation face-reenactment diffusion-models animateanyone video-generation pretrained-models video gpu linux

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markdown · JSON · MCP: product_card(name="MooreThreads/Moore-AnimateAnyone")