Tencent-Hunyuan/Hy-Nomas

Hy-Nomas: Towards Free-form Interactive World Generation

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Hy-Nomas is a free-form interactive world generation model controlled by multi-turn text and camera inputs. It runs on a single RTX 4090 with low-memory inference, supports LoRA fine-tuning for downstream tasks, and includes an interactive web demo. [](LICENSE)          https://github.com/user-attachments/assets/e7a2528c-4ccc-461c-8f09-207650f1f0bd If you develop/use Hy-Nomas in your projects, welcome to let us know. Thank you to the contributors for building on Hy-Nomas! Building with Hy-Nomas? We welcome community projects, integrations, tutorials, and LoRA adapters. Share your work by opening an issue or submitting a pull request to add it to this section. Contributions to this repository are covered in the contribution guide. Hy-Nomas is a free-form interactive video world generation model. It supports free-form multi-turn text prompt control or camera control. This repository provides the training, inference, interactive demo, and data annotation code. Choose one of the following two setup options. We strongly recommend the pre-packaged Docker image, which…

Tencent-Hunyuan/Hy-Nomas on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-27T13:24:23.088Z

Inside the original README — Document outline
  1. 🔥 News
  2. 🎥 Demo
  3. 🧩 Community Contributions
  4. Table of Contents
  5. Model Introduction
  6. Key Features
  7. Usage
  8. Environment Setup
  9. Option 1: Pre-packaged Docker Image (Recommended)
  10. Option 2: Manual Installation
  11. Model Assets
  12. Inference

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What this repository does

Hy-Nomas: Towards Free-form Interactive World Generation

Repository facts

Owner
Tencent-Hunyuan
Primary language
Python
Stars
339
Forks
32
Open issues + pull requests
1
License
Other
Archived
No
Default branch
main
Created
2026-10-21T03:04:54.000Z
Last push
2026-10-28T04:24:29.000Z

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