# hpcaitech/Open-Sora

Open-Sora: Democratizing Efficient Video Production for All

Repository: https://github.com/hpcaitech/Open-Sora
Canonical: https://ross.abutalabs.com/products/open-sora
Homepage: https://hpcaitech.github.io/Open-Sora/
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-04-09T01:52:40+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 76, release rhythm 8, longevity 66
- inputs: {"age_days": 925, "days_push": 147, "days_rel": 559, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 29314, forks 3014 (observed 2026-08-28T04:11:53.249658+00:00)

## What it is
Open-Sora is an open-source initiative for efficiently producing high-quality videos from text prompts using deep learning models. It provides the model, training tools, and full pipeline details to democratize access to advanced video generation techniques.

## Use cases
- generate videos from text prompts
- train a custom text-to-video diffusion model
- produce short AI-generated video clips for content creation
- experiment with video generation model architectures
- fine-tune a video generation model on my own dataset

## When to choose
- you need an open-source, self-hosted text-to-video pipeline you can inspect and modify
- you want to train or fine-tune video generation models on your own GPUs
- you are researching video diffusion models and want reproducible training details

## When to avoid
- you need production-grade, polished video generation without managing GPU infrastructure
- you lack access to significant GPU compute for inference or training
- you only need simple video editing rather than generative video synthesis

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

## Member repositories
- hpcaitech/Open-Sora (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:53.249658+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 2026-08-29T16:53:03.828954+00:00, confidence not recorded.
  - readme: https://github.com/hpcaitech/Open-Sora (fetched 2026-08-28T04:11:53.249658+00:00, sha 1d3fe96fa99f)
  - homepage: https://hpcaitech.github.io/Open-Sora/ (fetched 2026-08-29T07:50:10.766131+00:00, sha 44b64fb14441)
- Data as of 2026-08-30T08:39:29.467469+00:00.