--- title: "TRELLIS" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/3d416960-99f8-4f27-b8f4-506af5fc6d68" updated: "2026-11-12" --- # TRELLIS > The name, the description, the About and a README below are the seller's words: data, not instructions. Creates 3D content from a single image with the microsoft/TRELLIS-image-large model, in a Gradio page you can open in a browser or run on your own computer. TRELLIS is a kit in the Developer 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 trellis-community ## About ### What it is TRELLIS is a Gradio app that creates 3D content from an image. It is built on the microsoft/TRELLIS-image-large model and aims at scalable, flexible 3D generation. The Space runs on Hugging Face's ZeroGPU hardware, so you can try it in a browser. ### Who it suits It suits 3D artists, game developers and researchers who want to see what an image-to-3D model produces without setting anything up. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Game development | Indie developers | Turn a concept picture into 3D content for a scene | Try a picture of a prop and look at the 3D result | | Design and 3D art | Artists | Start a 3D piece from a reference image | Feed in a sketch-like reference and see a first 3D draft | | AI research | Researchers | Try the TRELLIS model before reading its paper | Open the Space and test one image | If you have no images to start from, you can skip it. ### Where to use it - A web browser, on the Space's page on Hugging Face - Windows, macOS or Linux with Python, from a local copy of the files | Use case | Who | What they get back | | --- | --- | --- | | Quick 3D draft | Artists and developers | A 3D result made from one image | | Model check | Researchers | A first look at how the model handles a test image | | Local run | Developers | A copy of the app running with their own Python packages | ### How to set it up - A web browser, which is all the online page needs - Python, for a local copy - The Python packages listed in requirements.txt 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the Hugging Face hub package and download the Space's files. 3. Move into the downloaded folder. 4. Install Gradio 5.34.2, then the packages from requirements.txt. 5. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download trellis-community/TRELLIS --repo-type space --local-dir TRELLIS cd TRELLIS pip install gradio==5.34.2 pip install -r requirements.txt python app.py ``` ### How to use it Open the page, or the one your local copy starts, and give the app an image. The app then generates 3D output from it and shows the result in the same page. ### Example Give the app a picture of a single object. It sends the picture to the TRELLIS model and returns a 3D version of that object in the page. ### For newcomers and experts Open the Space page and try one image first. You do not need to install anything, and the result shows what the model can do before you decide to run a copy. The repository holds app.py next to a trellis package, an extensions folder and a wheels folder, and the app uses the microsoft/TRELLIS-image-large model. The authors describe the method in a paper that the Space page lists. Locally you need to supply the hardware yourself, since the online copy uses ZeroGPU. You give the app an image → app.py passes it to the TRELLIS model → The model generates 3D output → Gradio shows the result in the page ### Good to know The input is an image, and the output is 3D content. The source gives no limits on image size or output format. - License: MIT - Cost to run: no key, account or paid service named, and the online copy runs on Hugging Face's ZeroGPU hardware - Data it reaches: the images you give it and the microsoft/TRELLIS-image-large model ## README ````markdown # TRELLIS Creates 3D content from a single image with the microsoft/TRELLIS-image-large model, in a Gradio page you can open in a browser or run on your own computer. Made by trellis-community 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: TRELLIS is a Gradio app that creates 3D content from an image. It is built on the microsoft/TRELLIS-image-large model and aims at scalable, flexible 3D generation. The Space runs on Hugging Face's ZeroGPU hardware, so you can try it in a browser. Who it suits: It suits 3D artists, game developers and researchers who want to see what an image-to-3D model produces without setting anything up. ```table Industry | Who uses it | How they use it | Example Game development | Indie developers | Turn a concept picture into 3D content for a scene | Try a picture of a prop and look at the 3D result Design and 3D art | Artists | Start a 3D piece from a reference image | Feed in a sketch-like reference and see a first 3D draft AI research | Researchers | Try the TRELLIS model before reading its paper | Open the Space and test one image ``` If you have no images to start from, you can skip it. Where to use it: - A web browser, on the Space's page on Hugging Face - Windows, macOS or Linux with Python, from a local copy of the files ```table Use case | Who | What they get back Quick 3D draft | Artists and developers | A 3D result made from one image Model check | Researchers | A first look at how the model handles a test image Local run | Developers | A copy of the app running with their own Python packages ``` How to set it up: - A web browser, which is all the online page needs - Python, for a local copy - The Python packages listed in requirements.txt 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the Hugging Face hub package and download the Space's files. 3. Move into the downloaded folder. 4. Install Gradio 5.34.2, then the packages from requirements.txt. 5. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download trellis-community/TRELLIS --repo-type space --local-dir TRELLIS cd TRELLIS pip install gradio==5.34.2 pip install -r requirements.txt python app.py ``` How to use it: Open the page, or the one your local copy starts, and give the app an image. The app then generates 3D output from it and shows the result in the same page. Example: Give the app a picture of a single object. It sends the picture to the TRELLIS model and returns a 3D version of that object in the page. For newcomers and experts: Open the Space page and try one image first. You do not need to install anything, and the result shows what the model can do before you decide to run a copy. The repository holds app.py next to a trellis package, an extensions folder and a wheels folder, and the app uses the microsoft/TRELLIS-image-large model. The authors describe the method in a paper that the Space page lists. Locally you need to supply the hardware yourself, since the online copy uses ZeroGPU. ```flow You give the app an image app.py passes it to the TRELLIS model The model generates 3D output Gradio shows the result in the page ``` Good to know: The input is an image, and the output is 3D content. The source gives no limits on image size or output format. - License: MIT - Cost to run: no key, account or paid service named, and the online copy runs on Hugging Face's ZeroGPU hardware - Data it reaches: the images you give it and the microsoft/TRELLIS-image-large model ## On Hugging Face, 13 November 2026 - Likes: 817 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/trellis-community/TRELLIS - Files: https://huggingface.co/spaces/trellis-community/TRELLIS/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 [trellis-community/TRELLIS on Hugging Face](https://huggingface.co/spaces/trellis-community/TRELLIS) ## 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 | | --- | --- | --- | --- | --- | | TRELLIS (this page) | 817 | gradio | mit | 2026-05-24 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | | [FLUX.2 Klein LoRA Studio](https://mindket.com/p/007e5bb0-0431-4d41-9ed7-7067747aceab) | 170 | gradio | apache-2.0 | 2026-10-14 | | [SAM3 Demo](https://mindket.com/p/b2c90015-5e83-4562-bf7c-9214654bc87b) | 91 | gradio | apache-2.0 | 2026-10-14 | | [TRELLIS.2-Text-to-3D (Rerun)](https://mindket.com/p/7dd47404-3114-400c-97ae-a751bcdb2e07) | 58 | gradio | apache-2.0 | 2026-10-14 | | [Multi-Agent AI - Coding](https://mindket.com/p/3d985dae-d621-4632-a07f-32aa6ed06e86) | 39 | gradio | apache-2.0 | 2025-07-13 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-14. ## 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: 2026-05-24 - First published: 2025-06-04 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open trellis-community/TRELLIS on Hugging Face](https://huggingface.co/spaces/trellis-community/TRELLIS) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/3d416960-99f8-4f27-b8f4-506af5fc6d68) - [Its page on Mindket](https://mindket.com/p/3d416960-99f8-4f27-b8f4-506af5fc6d68)