# guoyww/AnimateDiff

Official implementation of AnimateDiff.

Repository: https://github.com/guoyww/AnimateDiff
Canonical: https://ross.abutalabs.com/products/animatediff
Homepage: https://animatediff.github.io
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2024-07-31T01:14:15+00:00

## Health v2 (maintenance only)
Score: 29/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 83
- inputs: {"age_days": 1173, "days_push": 764, "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 12227, forks 1093 (observed 2026-08-28T04:10:52.085062+00:00)

## What it is
Official implementation of AnimateDiff, a plug-and-play motion modeling module that turns personalized text-to-image diffusion models (e.g., Stable Diffusion) into animation generators without additional per-model training. It provides training and inference code, with official support in Hugging Face Diffusers.

## Use cases
- generate animated gifs from text prompts with stable diffusion
- animate personalized text-to-image models like LoRA checkpoints
- add motion to community SD1.5 models without retraining
- train a motion module on video clips
- create text-driven animation videos from custom models

## When to choose
- you want to animate existing Stable Diffusion v1.5 or SDXL checkpoints
- you need a research-grade implementation of the AnimateDiff paper
- you want plug-and-play motion modules usable with Diffusers

## When to avoid
- you need production video generation at scale
- you want a polished end-user GUI rather than Python scripts
- you need models beyond the Stable Diffusion family

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, video-processing, image-processing, stable-diffusion
- domain: artificial-intelligence, deep-learning, image-processing, graphics
- platform: python, cross-platform
- tags: text-to-video, diffusion-models, animation-generator, motion-module, stable-diffusion, iclr-2024, plug-and-play, video, gpu, linux

## Member repositories
- guoyww/AnimateDiff (main) score 29

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:52.085062+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 2026-08-29T17:14:15.333725+00:00, confidence not recorded.
  - readme: https://github.com/guoyww/AnimateDiff (fetched 2026-08-28T04:10:52.085062+00:00, sha 6aeddc8ab0dc)
  - homepage: https://animatediff.github.io (fetched 2026-08-29T08:11:45.323939+00:00, sha f2d10643b672)
- Data as of 2026-08-30T08:39:29.467469+00:00.