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On the recordRead 13 Oct 202624 facts
Open-Sora
On the record
- Commercial use
- Yesgithub.com · read 19 Sep 2026
- Compute requirements
- The README documents 768x768 generation using multi-GPU inference and reports benchmarks on H100/H800 GPUs.github.com · read 13 Oct 2026
- Generation modes
- The 11B model supports text-to-video and image-to-video generation.github.com · read 12 Oct 2026
- Generation settings
- Users can adjust aspect ratio and frame count; the documented frame counts follow 4k+1 and must be less than 129.github.com · read 13 Oct 2026
- Hardware
- The documented efficiency measurements use H100 and H800 GPUs, and 768x768 inference examples include multi-GPU execution.github.com · read 12 Oct 2026
- Image-to-video
- Yesgithub.com · read 19 Sep 2026
- Image-to-video input
- Image-to-video generation accepts a prompt and a reference image.github.com · read 12 Oct 2026
- Installation
- The quickstart uses Python 3.10 and requires PyTorch 2.4.0 or later.github.com · read 13 Oct 2026
- License
- The repository identifies its license as Apache-2.0.github.com · read 13 Oct 2026
- Model downloads
- The README provides model download instructions for Hugging Face and ModelScope.github.com · read 13 Oct 2026
- Model size
- The repository describes Open-Sora 2.0 as an 11B model.github.com · read 12 Oct 2026
- Motion scoring
- Inference supports a motion score, and a dynamic motion-score evaluator is available after setting an OpenAI API key.github.com · read 12 Oct 2026
- Project audience
- The project says it aims to make video-generation models, tools, and implementation details accessible to all.github.com · read 13 Oct 2026
- Prompt refinement
- The project can use ChatGPT to refine prompts for text-to-video and image-to-video generation, with an OpenAI API key configured.github.com · read 12 Oct 2026
- Prompt tools
- The project documents prompt refinement with ChatGPT and dynamic motion-score evaluation using an OpenAI API key.github.com · read 13 Oct 2026
- Purpose
- Open-Sora is an open-source project for producing high-quality video.github.com · read 13 Oct 2026
- Requirements
- The quickstart uses Python 3.10 and requires PyTorch 2.4.0 or later.github.com · read 12 Oct 2026
- Resolutions
- The 11B model supports 256px and 768px resolutions.github.com · read 13 Oct 2026