# Tencent-Hunyuan/HunyuanVideo

HunyuanVideo: A Systematic Framework For Large Video Generation Model

Repository: https://github.com/Tencent-Hunyuan/HunyuanVideo
Canonical: https://ross.abutalabs.com/products/hunyuanvideo
Homepage: https://aivideo.hunyuan.tencent.com
Language: Python
License: NOASSERTION
License Family: other
Topics: video-generation, diffusion-models, diffusion-transformer
Last push: 2026-06-29T09:33:50+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 90, release rhythm 35, longevity 45
- inputs: {"age_days": 643, "days_push": 65, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 12476, forks 1319 (observed 2026-08-28T04:10:59.142596+00:00)

## What it is
HunyuanVideo is Tencent's open-source framework for large-scale video generation, providing PyTorch model definitions, pre-trained weights, and inference/sampling code for a diffusion-transformer based text-to-video model. It includes variants for image-to-video, audio-driven avatar animation, and customized video generation.

## Use cases
- generate videos from text prompts
- convert a still image into a video
- create audio-driven talking avatar animations
- run a state-of-the-art open video generation model locally
- fine-tune or build custom video generation pipelines
- research diffusion transformer architectures for video

## When to choose
- you need high-quality open-weights text-to-video or image-to-video generation
- you have GPU hardware and want to run video generation in PyTorch
- you want a research foundation for video diffusion models
- you need audio-driven human animation or customized video generation

## When to avoid
- you lack a capable GPU or large VRAM
- you need a simple hosted API without managing model weights
- your project requires a permissive license (license is custom/restricted)
- you only need lightweight video editing rather than generative synthesis

## Facets
- artifact type: library
- maturity: active
- function: video-processing, machine-learning, deep-learning, llm-inference
- domain: artificial-intelligence, deep-learning, media
- platform: python
- tags: video-generation, diffusion-models, diffusion-transformer, text-to-video, image-to-video, pytorch, generative-ai, video, gpu, linux

## Member repositories
- Tencent-Hunyuan/HunyuanVideo (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:59.142596+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 2026-08-29T17:14:01.842975+00:00, confidence not recorded.
  - readme: https://github.com/Tencent-Hunyuan/HunyuanVideo (fetched 2026-08-28T04:10:59.142596+00:00, sha 788a2b219236)
  - homepage: https://aivideo.hunyuan.tencent.com (fetched 2026-08-29T08:10:46.013520+00:00, sha 44136fa355b3)
- Data as of 2026-08-30T08:39:29.467469+00:00.