CPU3DAI tools for 3D, video and audio

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.

AlayaRenderer — video generation pipeline Input image frame or scene image-to-image G-buffer scene decomposition geometry, normals, materials, depth Inverse rendering scene parameter recovery Diffusion model world_inverse_renderer frame generation Output video virtual worlds Open source · Apache-2.0 · Python · cosmos library Tags: diffusion-model, g-buffer, game-rendering, inverse-rendering, neural-rendering, video-diffusion, video-generation Alaya Lab · Generative World Renderer — AI-native Renderer for Games and Virtual Worlds
How the AlayaRenderer pipeline works. The diagram is drawn from the tool’s fact sheet.

Fact sheet

Taskimage-to-image source
Code licenseApache-2.0 source
Weights licenseapache-2.0 source
Librarycosmos source
LanguagePython source
Last code change2026-05-05 source
Repository created2026-04-02 source
Changes often — as of 2026-09-07
GitHub stars678 source
Forks20 source
Downloads per month130 source
Model updated2026-04-02 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.

See also