# MooreThreads/Moore-AnimateAnyone

Character Animation (AnimateAnyone, Face Reenactment)

Repository: https://github.com/MooreThreads/Moore-AnimateAnyone
Canonical: https://ross.abutalabs.com/products/moore-animateanyone
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-05-31T03:45:26+00:00

## Health v2 (maintenance only)
Score: 26/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 68
- inputs: {"age_days": 964, "days_push": 824, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3514, forks 295 (observed 2026-08-28T04:08:07.777111+00:00)

## What it is
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
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, image-processing, video-processing, stable-diffusion
- domain: artificial-intelligence, computer-vision, image-processing, deep-learning
- platform: python
- tags: character-animation, pose-driven-animation, face-reenactment, diffusion-models, animateanyone, video-generation, pretrained-models, video, gpu, linux

## Member repositories
- MooreThreads/Moore-AnimateAnyone (main) score 26

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:07.777111+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:35:36.153657+00:00, confidence not recorded.
  - readme: https://github.com/MooreThreads/Moore-AnimateAnyone (fetched 2026-08-28T04:08:07.777111+00:00, sha 2e59b8b33258)
- Data as of 2026-08-30T08:39:29.467469+00:00.