#1313th of 24 in Image and videoFor image, video and design, video and animation
open-sora
Open video generation models with training and inference code
- Stars
- 29.9k
- License
- Apache-2.0
- Last commit
- Apr 2026
- Last release
- Feb 2025
- Language
- Python
28,492 on 31 Mar 202629,874 on 20 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Open-Sora is a text-to-video and image-to-video generation project that publishes model checkpoints, inference scripts and training code. The latest release, Open-Sora 2.0, has 11B parameters, and the README reports a training cost of about $200K and VBench results comparable to HunyuanVideo (11B) and Step-Video (30B). Earlier versions (1.0 to 1.3) are kept on separate branches, and a Hugging Face Spaces Gradio demo is linked.
Who it is for: Researchers and engineers running or training open video generation models
Strengths
- Checkpoints and training code released together, with a stated ~$200K training cost for 2.0
- Supports text-to-video, image-to-video and video-to-video in earlier versions (1.1 documented)
- Includes a video data processing pipeline and technical reports for each version
- Apache-2.0 license; Hugging Face Spaces demo and sample gallery available
Weaknesses
- Last tagged release is 2025-02-21, before the 2.0 announcement in March 2025
- No Docker or compose files detected
- Hardware requirements are not stated in the visible README; 11B model likely needs a large GPU
- Older versions live on separate branches with different checkpoints and instructions
What it needs
- GPU required
- Needs ColossalAI
- Models: Open-Sora 2.0 (11B), Open-Sora 1.3 (1B), Open-Sora 1.2, Open-Sora 1.1, Open-Sora 1.0
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