AlayaRenderer: video generator — what it does and what you need to run it

AlayaRenderer is an open-source video generator from Alaya Lab. It solves the image-to-image task: an image is fed as input, and a video sequence is produced as output. The authors describe the project as a generative world renderer intended for games and virtual spaces.
What it does
As described by the author, AlayaRenderer is an AI-native renderer for games and virtual worlds. It is based on approaches related to inverse rendering and neural rendering. The repository tags include diffusion-model, g-buffer, game-rendering, inverse-rendering, neural-rendering, video-diffusion, and video-generation. This means the project works with diffusion models, G-buffers, and video generation methods.
The model is published on Hugging Face. The authors do not provide a detailed list of supported operating modes or restrictions on input image types.
What you need to run it
The code is written in Python and uses the cosmos library. The code license is Apache-2.0, and the model weights license is apache-2.0. The repository was created on April 2, 2026, with the last code change on May 5, 2026.
The authors do not specify minimum requirements for memory, GPU, or operating system. Since the project involves diffusion models and video generation, a GPU will likely be needed for practical use, but the fact sheet does not include exact requirements.
Who it suits
The project may be of interest to game and virtual world developers looking for a tool to generate video sequences from images. The open source code and Apache-2.0 license allow studying the implementation and integrating it into your own systems.
For those seeking a ready-made commercial product with documentation and support, the project may not be suitable: the authors do not provide detailed deployment instructions or describe input data limitations. It is also worth noting that this is a research tool, not a finished application for end users.
The repository is available at github.com/AlayaLab/AlayaRenderer, the model is on huggingface.co/Brian9999/world_inverse_renderer, and the project website is alaya-studio.github.io/renderer.
Fact sheet
Repository · Model on HuggingFace · Developer’s site
| Task | image-to-image source |
|---|---|
| Code license | Apache-2.0 source |
| Weights license | apache-2.0 source |
| Library | cosmos source |
| Language | Python source |
| Last code change | 2026-05-05 source |
| Repository created | 2026-04-02 source |
| GitHub stars | 678 source |
|---|---|
| Forks | 20 source |
| Downloads per month | 130 source |
| Model updated | 2026-04-02 source |
Values are collected automatically from official sources and were checked on 2026-09-07. 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.



