CPU3DAI tools for 3D, video and audio

Open-Sora: video generator — what it does and what you need to run it

Open-Sora is an open source video generator from the HPC-AI Tech team. The tool is designed to synthesize video from text descriptions, and its main stated goal is to make efficient video production accessible to everyone.

What it does

As described by the authors, Open-Sora can generate video from text prompts. The specific video duration parameters, supported resolutions, and frame rates are not specified in the fact sheet. The tool is positioned as a means to "democratize" video production, but the authors do not disclose details about built-in modes (e.g., image-to-video or fine-tuning on your own data) in the fact sheet.

What you need to run it

The project code is written in Python and distributed under the Apache-2.0 license. Running it locally requires an environment with Python support and, given the nature of generative video tasks, a powerful GPU (the authors do not specify particular graphics card models or minimum VRAM). No cloud version is offered as a separate service in the fact sheet — the tool is designed for self-deployment from the repository. The current code version as of the last update (April 9, 2026) is v1.3.

Who it is for

Open-Sora will be useful for developers and researchers who are willing to work with open source code, configure generation pipelines, and are not afraid of the lack of a ready-made cloud interface. The project may also appeal to those looking for a freely distributed foundation for video generation experiments.

The tool is not suitable for users expecting a ready-made web service with a "generate" button or commercial support out of the box. It is also worth noting that the authors do not publish detailed system requirements — choosing suitable hardware is left to the user.

Open-Sora continues to develop actively: the repository has existed since February 2024, and by spring 2026 the project has reached version 1.3. When choosing, keep in mind that all information about capabilities is based on developer statements rather than independent tests.

Open-Sora pipeline Democratizing efficient video production Input Text prompt Source image Scene parameters Encoder Conversion to latent representation Diffusion model Frame generation via stepwise noise removal Decoder Reconstruction of video frames from latent view Post-processing Quality enhancement and smoothing Result Final video MP4 GIF latent representation
How the Open-Sora pipeline works. The diagram is drawn from the tool’s fact sheet.

Fact sheet

Code licenseApache-2.0 source
LanguagePython source
Last code change2026-04-09 source
Repository created2024-02-20 source
Changes often — as of 2026-08-03
Latest releasev1.3 source
Release date2025-02-21 source
GitHub stars29236 source
Forks3003 source

Values are collected automatically from official sources and were checked on 2026-08-03. Each one links to its source, and values taken from the developer’s pages also carry a verbatim quote — hover over the note. Pricing and versions are shown as of the check date and change most often; verify on the vendor’s site before buying.

See also