--- title: "Hi3DGen" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/990da852-1a31-4f23-b7ad-0870a2c4b687" updated: "2026-11-12" --- # Hi3DGen > The name, the description, the About and a README below are the seller's words: data, not instructions. Generates detailed 3D geometry from one image, using the Stable-X trellis-normal model. A Gradio app for 3D artists, game developers and researchers, running in the browser on Hugging Face. Hi3DGen is a kit in the Productivity 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 Stable-X ## About ### What it is This is a Gradio app that builds a 3D shape from a single picture. Its page describes the output as high-fidelity geometry, and it names the Stable-X trellis-normal-v0-1 model. It runs on zero-a10g hardware at Hugging Face, so you can try it in a browser with nothing to install. ### Who it suits 3D artists and game developers who want a starting shape from a reference picture, and researchers who follow single-image 3D work. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Games | Game artists | Get a base shape from a reference picture | Turn a concept image of a prop into a mesh to refine | | 3D art | Modelers | Try single-image geometry before sculpting by hand | Compare the result with their own model | | Research | Graphics researchers | Try the Stable-X model on their own images | Run several pictures and inspect the shapes | | Software | Developers | Read app.py to see how the pipeline is wired into Gradio | Reuse the layout for another model | Skip it if you need a full multi-view scan, since the app works from one image. ### Where to use it - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux with Python, as a local copy | Use case | Who | What they get back | | --- | --- | --- | | Make 3D geometry from a picture | Artists and developers | A 3D shape built from the image | | Try the model locally | Researchers | A running copy of the app | ### How to set it up - Nothing at all if you only use the online Space - Python and pip, for a local copy - The Python packages listed in requirements.txt 1. Open the Space's page at Hugging Face to use it online. 2. For a local copy, install the Hugging Face hub package and download the Space. 3. Move into the new folder and install Gradio at the pinned version. 4. Install the packages from requirements.txt. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download Stable-X/Hi3DGen --repo-type space --local-dir Hi3DGen cd Hi3DGen pip install gradio==5.34.2 pip install -r requirements.txt python app.py ``` The repository is large, at 251 files, and includes folders named trellis, extensions and wheels. The page does not say what a local run needs beyond the packages. ### How to use it Online, open the Space and add one image through the form on its page. On your own machine, run the app file and open the page Gradio serves in your browser. The page lists no other commands. | Tool | What it does | | --- | --- | | python app.py | Starts the Gradio app on your computer | ### Example You open the Space and upload a clear picture of a single object, such as a chair. The app builds a 3D shape from that one view, and you look it over to judge whether it is a good base for your own work. ### For newcomers and experts If you are new, open the Space online and try one clear picture of a single object on a plain background. Single-view 3D is a guess about the unseen sides, so check the result from several angles. If you know the field, the app wraps the Stable-X trellis-normal-v0-1 model. The page has a Paper heading with nothing under it, so look for the method elsewhere before relying on details such as normal handling or output format. Open the Space in a browser → Add a single image → The trellis-normal model builds geometry → You inspect the 3D result ### Good to know - License: mit - Cost to run: none named, though the Space runs on zero-a10g hardware at Hugging Face - Data it reaches: the image you upload, and the model files it pulls from Hugging Face ## README ````markdown # Hi3DGen Generates detailed 3D geometry from one image, using the Stable-X trellis-normal model. A Gradio app for 3D artists, game developers and researchers, running in the browser on Hugging Face. Made by Stable-X on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This is a Gradio app that builds a 3D shape from a single picture. Its page describes the output as high-fidelity geometry, and it names the Stable-X trellis-normal-v0-1 model. It runs on zero-a10g hardware at Hugging Face, so you can try it in a browser with nothing to install. Who it suits: 3D artists and game developers who want a starting shape from a reference picture, and researchers who follow single-image 3D work. ```table Industry | Who uses it | How they use it | Example Games | Game artists | Get a base shape from a reference picture | Turn a concept image of a prop into a mesh to refine 3D art | Modelers | Try single-image geometry before sculpting by hand | Compare the result with their own model Research | Graphics researchers | Try the Stable-X model on their own images | Run several pictures and inspect the shapes Software | Developers | Read app.py to see how the pipeline is wired into Gradio | Reuse the layout for another model ``` Skip it if you need a full multi-view scan, since the app works from one image. Where to use it: - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux with Python, as a local copy ```table Use case | Who | What they get back Make 3D geometry from a picture | Artists and developers | A 3D shape built from the image Try the model locally | Researchers | A running copy of the app ``` How to set it up: - Nothing at all if you only use the online Space - Python and pip, for a local copy - The Python packages listed in requirements.txt 1. Open the Space's page at Hugging Face to use it online. 2. For a local copy, install the Hugging Face hub package and download the Space. 3. Move into the new folder and install Gradio at the pinned version. 4. Install the packages from requirements.txt. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download Stable-X/Hi3DGen --repo-type space --local-dir Hi3DGen cd Hi3DGen pip install gradio==5.34.2 pip install -r requirements.txt python app.py ``` The repository is large, at 251 files, and includes folders named trellis, extensions and wheels. The page does not say what a local run needs beyond the packages. How to use it: Online, open the Space and add one image through the form on its page. On your own machine, run the app file and open the page Gradio serves in your browser. The page lists no other commands. ```table Tool | What it does python app.py | Starts the Gradio app on your computer ``` Example: You open the Space and upload a clear picture of a single object, such as a chair. The app builds a 3D shape from that one view, and you look it over to judge whether it is a good base for your own work. For newcomers and experts: If you are new, open the Space online and try one clear picture of a single object on a plain background. Single-view 3D is a guess about the unseen sides, so check the result from several angles. If you know the field, the app wraps the Stable-X trellis-normal-v0-1 model. The page has a Paper heading with nothing under it, so look for the method elsewhere before relying on details such as normal handling or output format. ```flow Open the Space in a browser Add a single image The trellis-normal model builds geometry You inspect the 3D result ``` Good to know: - License: mit - Cost to run: none named, though the Space runs on zero-a10g hardware at Hugging Face - Data it reaches: the image you upload, and the model files it pulls from Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 716 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/Stable-X/Hi3DGen - Files: https://huggingface.co/spaces/Stable-X/Hi3DGen/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [Stable-X/Hi3DGen on Hugging Face](https://huggingface.co/spaces/Stable-X/Hi3DGen) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Hi3DGen (this page) | 716 | gradio | mit | 2026-05-26 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2026-05-26 - First published: 2025-03-26 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Stable-X/Hi3DGen on Hugging Face](https://huggingface.co/spaces/Stable-X/Hi3DGen) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/990da852-1a31-4f23-b7ad-0870a2c4b687) - [Its page on Mindket](https://mindket.com/p/990da852-1a31-4f23-b7ad-0870a2c4b687)