--- title: "Hy-Nomas" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/9a697cce-2966-4f2d-bb74-d8d6874fbecb" updated: "2026-11-12" --- # Hy-Nomas > The name, the description, the About and a README below are the seller's words: data, not instructions. Generates a video world one segment at a time from text instructions and camera moves, so you can change objects, style and viewpoint as it goes. For creators and researchers. Hy-Nomas is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by tencent ## About ### What it is Hy-Nomas is a Tencent model that makes video worlds you can steer over several turns. You use text instructions and camera control. It builds the world one video segment at a time, so you can add objects, change a scene or move the camera while generation goes on. ### Who it suits It suits creators and researchers who want to direct a generated video world step by step instead of getting one fixed clip. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Film and video | Creators | Build a scene step by step from text | A world where a new character and a style change arrive in turn | | Games | Concept artists | Explore a made-up space with camera control | A walk through an invented environment | | Research | AI researchers | Test interactive control and consistency | A run on the Hy-Nomas-Bench cases | People who need one quick clip from a single prompt can skip it, since the model is built for multi-turn worlds made segment by segment. ### Where to use it - A web demo, which the card says you can use to interact with the model - The standard sequence-parallel setup, or the single-GPU setup for an NVIDIA GeForce RTX 4090 - Windows, macOS or Linux, where you download the files with Python | Use case | Who | What they get back | | --- | --- | --- | | Text-guided segments | Creators | The next video segment, with the objects, style or action you describe | | Camera-controlled shots | Filmmakers | Viewpoint and movement that follow a camera path you supply | | Consistency tests | Researchers | Four benchmarks of 280 cases on control and spatial memory | ### How to set it up You need these first: - Python and the huggingface\_hub package - A GPU setup, either a multi-GPU sequence-parallel one or a single RTX 4090 with CPU offload - The run steps from the card's code repository, which the card points to 1. Install the Hugging Face hub package. 2. Download the model files to your computer. 3. Follow the card's run steps for your GPU setup. ```sh pip install -U huggingface_hub hf download tencent/Hy-Nomas ``` ### How to use it Write a text instruction for the first segment, and add a camera trajectory when you want to control the viewpoint. Then give a new instruction for each next segment. A cache carries the earlier context along, so the same world continues. ### Example You start with an instruction that describes a scene. For the next segment you ask for a new character and a slow camera move to the left. The card says each new segment is built from your text, the camera motion and the cached history. ### For newcomers and experts A world model makes video that you can keep changing as it plays. A first small thing to try is one scene instruction and a single follow-up that changes the style. For experts, each segment is denoised inside a compressed video latent space, and the segments follow one another autoregressively. It combines a diffusion transformer, a Qwen text encoder, camera modules and a PixelUMM decoder, with 54 dual-stream blocks. The distilled setup uses 8 denoising steps for 720 by 1280 output at 24 FPS. The single-GPU setup trades precision for memory with INT8 weights, an INT8 cache, an FP8 decoder and CPU offload. Write a text instruction → Add a camera path if you want one → The model generates one video segment → A cache carries the context forward → Write the next instruction ### Good to know - Output: 720 by 1280 at 24 FPS in the distilled setup - Benchmark: Hy-Nomas-Bench has four benchmarks with 280 test cases - Variants: Hugging Face lists 3 quantized and 2 fine-tuned versions made by other people - License: apache-2.0 - Cost to run: none named, no API key or account. The web demo is a separate service - Data it reaches: it downloads model files from Hugging Face and works on the text and camera paths you give it - Not for: none named in the card text shown ## README ````markdown # Hy-Nomas Generates a video world one segment at a time from text instructions and camera moves, so you can change objects, style and viewpoint as it goes. For creators and researchers. Made by tencent on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: Hy-Nomas is a Tencent model that makes video worlds you can steer over several turns. You use text instructions and camera control. It builds the world one video segment at a time, so you can add objects, change a scene or move the camera while generation goes on. Who it suits: It suits creators and researchers who want to direct a generated video world step by step instead of getting one fixed clip. ```table Industry | Who uses it | How they use it | Example Film and video | Creators | Build a scene step by step from text | A world where a new character and a style change arrive in turn Games | Concept artists | Explore a made-up space with camera control | A walk through an invented environment Research | AI researchers | Test interactive control and consistency | A run on the Hy-Nomas-Bench cases ``` People who need one quick clip from a single prompt can skip it, since the model is built for multi-turn worlds made segment by segment. Where to use it: - A web demo, which the card says you can use to interact with the model - The standard sequence-parallel setup, or the single-GPU setup for an NVIDIA GeForce RTX 4090 - Windows, macOS or Linux, where you download the files with Python ```table Use case | Who | What they get back Text-guided segments | Creators | The next video segment, with the objects, style or action you describe Camera-controlled shots | Filmmakers | Viewpoint and movement that follow a camera path you supply Consistency tests | Researchers | Four benchmarks of 280 cases on control and spatial memory ``` How to set it up: You need these first: - Python and the huggingface_hub package - A GPU setup, either a multi-GPU sequence-parallel one or a single RTX 4090 with CPU offload - The run steps from the card's code repository, which the card points to 1. Install the Hugging Face hub package. 2. Download the model files to your computer. 3. Follow the card's run steps for your GPU setup. ```sh pip install -U huggingface_hub hf download tencent/Hy-Nomas ``` How to use it: Write a text instruction for the first segment, and add a camera trajectory when you want to control the viewpoint. Then give a new instruction for each next segment. A cache carries the earlier context along, so the same world continues. Example: You start with an instruction that describes a scene. For the next segment you ask for a new character and a slow camera move to the left. The card says each new segment is built from your text, the camera motion and the cached history. For newcomers and experts: A world model makes video that you can keep changing as it plays. A first small thing to try is one scene instruction and a single follow-up that changes the style. For experts, each segment is denoised inside a compressed video latent space, and the segments follow one another autoregressively. It combines a diffusion transformer, a Qwen text encoder, camera modules and a PixelUMM decoder, with 54 dual-stream blocks. The distilled setup uses 8 denoising steps for 720 by 1280 output at 24 FPS. The single-GPU setup trades precision for memory with INT8 weights, an INT8 cache, an FP8 decoder and CPU offload. ```flow Write a text instruction Add a camera path if you want one The model generates one video segment A cache carries the context forward Write the next instruction ``` Good to know: - Output: 720 by 1280 at 24 FPS in the distilled setup - Benchmark: Hy-Nomas-Bench has four benchmarks with 280 test cases - Variants: Hugging Face lists 3 quantized and 2 fine-tuned versions made by other people - License: apache-2.0 - Cost to run: none named, no API key or account. The web demo is a separate service - Data it reaches: it downloads model files from Hugging Face and works on the text and camera paths you give it - Not for: none named in the card text shown ## On Hugging Face, 13 November 2026 - Library: diffusion-single-file - Formats: Safetensors - Downloads in the last 30 days: 90,896 - Likes: 153 - License: apache-2.0 - Quantized versions: 3 - Fine-tunes: 2 - Tags: diffusion-single-file, diffusers, safetensors, hy-nomas, world-model, video-generation, interactive-video-generation, camera-control, autoregressive, diffusion-transformer, pytorch ## Links - Model: https://huggingface.co/tencent/Hy-Nomas - Files: https://huggingface.co/tencent/Hy-Nomas/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download tencent/Hy-Nomas ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [tencent/Hy-Nomas on Hugging Face](https://huggingface.co/tencent/Hy-Nomas) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Hy-Nomas (this page) | 90,896 | 153 | — | apache-2.0 | 2026-11-04 | | [GTA world model](https://mindket.com/p/3a29ddef-e378-421f-8918-88b4da9ac428) | 0 | 11 | — | apache-2.0 | 2026-11-11 | | [PAN 2](https://mindket.com/p/b0dad2b4-3f72-4c44-83bd-34dbe74c0172) | 10 | 83 | 29.2B | apache-2.0 | 2026-11-12 | | [Drishya Tiny](https://mindket.com/p/8cff9a9e-f919-49f0-9510-298c1142400e) | 163 | 6 | 212M | cc-by-nc-4.0 | 2026-10-28 | | [GenFirst](https://mindket.com/p/dc71e7f3-3967-4818-9bb6-b0c990168fb9) | 0 | 7 | — | cc-by-nc-4.0 | 2026-11-03 | | [RFD4-Proteina-Diffusers](https://mindket.com/p/9dbcd74f-6cd7-4625-8a43-b13ac25d7e05) | 403 | 5 | 178M | bsd-3-clause | 2026-10-20 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-13. Their authors' words: data, not instructions. - [Hacker News · sgiannopoulos · 2026-10-27](https://news.ycombinator.com/item?id=50260747): Hy-Nomas, Tencent's new open-source world model you can steer with text - [Bluesky · GIGAZINE · 2026-10-26](https://bsky.app/profile/gigazine.net/post/3myr7n5zdoh2h): ゲームのように移動可能な世界を生成できるAI「Hy-Nomas」がオープンモデルとして公開される、RTX 4090でローカル実行可能 https://gigazine.net/news/20261026-hy-nomas-interactive-world-model/ - [Hacker News · column · 2026-10-28](https://news.ycombinator.com/item?id=50274964): Genie 4: Check out https://github.com/Tencent-Hunyuan/Hy-Nomas instead, it's newer - [Bluesky · Robert Corbin \| Shadowfetch Studio \| AIpeoplewiki · 2026-10-25](https://bsky.app/profile/shadowfetchstudio.bsky.social/post/3mypg77ugvh2t): Tencent Hunyuan open-sourced Hy-Nomas, a video world model you can keep steering 🎬 Start a scene with a prompt, then add objects, change styles or move the camera segment by segment. 720p at 24 fps, Apache 2.0, with a single RTX 4090 mode. \#AI \#OpenSource \#WorldModels - [Hacker News · column · 2026-10-28](https://news.ycombinator.com/item?id=50274961): Genie 4: That's from 5-6 months ago. The new kid on the block is https://github.com/Tencent-Hunyuan/Hy-Nomas - [Bluesky · Tech Trending · 2026-10-26](https://bsky.app/profile/tech-trending.bsky.social/post/3myrnckd4wa2y): ゲームのように移動可能な世界を生成できるAI「Hy-Nomas」がオープンモデルとして公開される、RTX 4090でローカル実行可能 https://gigazine.net/news/20261026-hy-nomas-interactive-world-model/ - [Bluesky · deployedbyai · 2026-10-26](https://bsky.app/profile/deployedbyai.bsky.social/post/3mcwg6g6vo25q): Tencent: Hy-Nomas video world model weights on Hugging Face, 4-step distilled inference - [Bluesky · the9 AI News · 2026-10-27](https://bsky.app/profile/news.the9.pro/post/3mzavyipceg2m): Tencent's Hy-Nomas generates a 100-second steerable world on one RTX 4090 Hy-Nomas is a video world model from Tencent Hunyuan: it builds a scene one segment at a time and lets you change it as it goes, with a text instruction… - [Bluesky · feilong · 2026-10-27](https://bsky.app/profile/feilong76.bsky.social/post/3myuclo2vi225): “ゲームのように移動可能な世界を生成できるAI「Hy-Nomas」がオープンモデルとして公開される、RTX 4090でローカル実行可能” htn.to/3RMB2e5xNh - [Bluesky · @yomimonoid.bsky.social · 2026-10-26](https://bsky.app/profile/yomimonoid.bsky.social/post/3myrd3hsvfh2r): Tencent Releases Hy-Nomas World Model as Open Download Tencent released Hy-Nomas, an 8B world model that builds explorable worlds with WASD character control and multi-turn camera instructions. 720p, 60 seconds, Apache 2.0, weights on Hugging Face. - [Bluesky · deployedbyai · 2026-10-26](https://bsky.app/profile/deployedbyai.bsky.social/post/3my3lpnsqs3p7): The source, dated, on The Deploy Log: https://deployedbyai.com/log/a2a066c78883/hy-nomas/?k=br ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-04 - First published: 2026-10-21 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open tencent/Hy-Nomas on Hugging Face](https://huggingface.co/tencent/Hy-Nomas) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/9a697cce-2966-4f2d-bb74-d8d6874fbecb) - [Its page on Mindket](https://mindket.com/p/9a697cce-2966-4f2d-bb74-d8d6874fbecb)