guoqincode/Open-AnimateAnyone

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2923 stars · 238 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An unofficial PyTorch implementation of Animate Anyone, a diffusion-based method that animates a static character image using pose sequences. It includes training guidance and models trained on small datasets like TikTok and UBC-fashion.

Use cases

• animate a character image from a pose video
• generate character animation videos from skeleton poses
• reproduce Animate Anyone research results
• train a pose-driven character animation model
• create virtual try-on or dance animation videos

When to choose

• you want an open-source starting point for pose-driven character animation
• you want to study or extend the Animate Anyone architecture
• you have your own large high-quality video dataset to train with

When to avoid

• you need production-quality animation matching the official Animate Anyone results
• you cannot train on large-scale data since small-data training produces artifacts and flicker
• you need a commercially licensed project (no license is provided)

Facets

library · maturity experimental

image-processing video-processing deep-learning machine-learning computer-vision image-processing deep-learning artificial-intelligence python character-animation pose-driven-animation diffusion-models unofficial-implementation video-generation video linux gpu

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For agents

markdown · JSON · MCP: product_card(name="guoqincode/Open-AnimateAnyone")