# Wan

Wan: Open and Advanced Large-Scale Video Generative Models

Repository: https://github.com/Wan-Video/Wan2.2
Canonical: https://ross.abutalabs.com/products/wan
Homepage: https://wan.video
Language: Python
License: Apache-2.0
License Family: permissive
Topics: aigc, video-generation
Last push: 2026-03-17T10:48:41+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 72, release rhythm 35, longevity 28
- inputs: {"age_days": 401, "days_push": 169, "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 17291, forks 2193 (observed 2026-08-28T04:11:17.919327+00:00)

## What it is
Wan is an open-source family of large-scale video generation models (Wan2.1/Wan2.2) with Python inference code and pretrained weights for text-to-video and image-to-video generation. Wan2.2 adds a Mixture-of-Experts diffusion architecture, cinematic aesthetic control, and a 5B model that runs 720P@24fps on consumer GPUs.

## Use cases
- generate videos from text prompts
- animate an image into a video
- run video generation locally on a 4090
- control cinematic style of generated videos
- research video diffusion model architectures
- fine-tune open video generation models

## When to choose
- you need open weights for text-to-video or image-to-video generation
- you want 720P@24fps generation on consumer GPUs
- you need controllable cinematic aesthetics in generated video

## When to avoid
- you need a hosted API without GPU infrastructure
- you only need image generation, not video
- you lack a CUDA-capable GPU

## Facets
- artifact type: library
- maturity: active
- function: video-processing, machine-learning, deep-learning, llm-inference
- domain: artificial-intelligence, deep-learning, media
- platform: python, cross-platform
- tags: video-generation, text-to-video, image-to-video, diffusion-models, mixture-of-experts, aigc, model-weights, video, gpu, linux

## Member repositories
- Wan-Video/Wan2.2 (main) score 50
- Wan-Video/Wan2.1 (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:17.919327+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 2026-08-29T17:03:11.902646+00:00, confidence not recorded.
  - readme: https://github.com/Wan-Video/Wan2.2 (fetched 2026-08-28T04:11:17.919327+00:00, sha 64cea25aa5a3)
- Data as of 2026-08-30T08:39:29.467469+00:00.