--- title: "InstantMesh" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/1ae3bef4-64e6-4fbc-ab14-186522fbac0f" updated: "2026-11-12" --- # InstantMesh > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns a single image into a 3D model, and its page says this takes about ten seconds. It comes from TencentARC and suits 3D artists, game developers and researchers. InstantMesh 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 TencentARC ## About ### What it is InstantMesh turns one picture into a 3D model. The Space's page says it takes about ten seconds. It is a demo from TencentARC and it runs on ZeroGPU hardware at Hugging Face. ### Who it suits 3D artists, game developers and researchers who want a quick first 3D shape from a single image. It also suits hobbyists who want to try image-to-3D with nothing to install. Who makes 3D models from one image | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Games | Indie developers | Get a rough 3D object from concept art | Turn a character sketch into a first mesh | | Design | 3D artists | Start a model from a reference image | Begin a prop from a single photo | | Research | Graphics researchers | Try a published image-to-3D method | Test the model on their own pictures | | Hobby | Makers and 3D printing fans | Turn a picture into a shape to refine | Convert an image of a toy into a 3D model | If you need a production-ready mesh with clean topology, you can skip it, since this gives a quick first shape. ### Where to use it - A web browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux with Python, from a local copy | Use case | Who | What they get back | | --- | --- | --- | | Turn an image into 3D | Artists | A 3D model made from your picture | | Get a quick base shape | Game developers | A first model to refine in your own tools | | Try the method | Researchers | A working demo of the InstantMesh approach | ### How to set it up Using the Space online needs nothing. A local copy needs Python and the packages the repository lists. The Space runs on ZeroGPU at Hugging Face, so a local copy may need a capable GPU. - Python with pip - The Python packages in requirements.txt 1. Install the Hugging Face hub package and download the Space into a folder. 2. Move into that folder. 3. Install Gradio 5.50.0, then the packages from requirements.txt. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download TencentARC/InstantMesh --repo-type space --local-dir InstantMesh cd InstantMesh pip install gradio==5.50.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space in your browser, or start the local copy with the command below and open the page Gradio serves. Give it one image and wait for the 3D model it makes. ```sh python app.py ``` ### Example You give it a clear picture of a single object on a plain background. The Space builds a 3D model of that object from the one image and shows it to you. ### For newcomers and experts If you are new to this, open the Space and try the example images from the repository first. Then try a picture of your own with one clear object in it. If you know the field, the Space names sudo-ai/zero123plus-v1.2, facebook/dino-vitb16 and TencentARC/InstantMesh. The repository holds a zero123plus folder, configs and example images. The trade is speed over detail: a model made from one view has to guess the sides it cannot see. You give it one image → Multiple views of the object are inferred → A 3D model is built from them → The result appears in the page ### Good to know - Hardware: the Space runs on zero-a10g at Hugging Face - Input: a single image is enough - License: apache-2 - Cost to run: none named ## README ````markdown # InstantMesh Turns a single image into a 3D model, and its page says this takes about ten seconds. It comes from TencentARC and suits 3D artists, game developers and researchers. Made by TencentARC 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: InstantMesh turns one picture into a 3D model. The Space's page says it takes about ten seconds. It is a demo from TencentARC and it runs on ZeroGPU hardware at Hugging Face. Who it suits: 3D artists, game developers and researchers who want a quick first 3D shape from a single image. It also suits hobbyists who want to try image-to-3D with nothing to install. ```table Title: Who makes 3D models from one image Industry | Who uses it | How they use it | Example Games | Indie developers | Get a rough 3D object from concept art | Turn a character sketch into a first mesh Design | 3D artists | Start a model from a reference image | Begin a prop from a single photo Research | Graphics researchers | Try a published image-to-3D method | Test the model on their own pictures Hobby | Makers and 3D printing fans | Turn a picture into a shape to refine | Convert an image of a toy into a 3D model ``` If you need a production-ready mesh with clean topology, you can skip it, since this gives a quick first shape. Where to use it: - A web browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux with Python, from a local copy ```table Use case | Who | What they get back Turn an image into 3D | Artists | A 3D model made from your picture Get a quick base shape | Game developers | A first model to refine in your own tools Try the method | Researchers | A working demo of the InstantMesh approach ``` How to set it up: Using the Space online needs nothing. A local copy needs Python and the packages the repository lists. The Space runs on ZeroGPU at Hugging Face, so a local copy may need a capable GPU. - Python with pip - The Python packages in requirements.txt 1. Install the Hugging Face hub package and download the Space into a folder. 2. Move into that folder. 3. Install Gradio 5.50.0, then the packages from requirements.txt. 4. Start the app with Python. ```sh pip install -U huggingface_hub hf download TencentARC/InstantMesh --repo-type space --local-dir InstantMesh cd InstantMesh pip install gradio==5.50.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space in your browser, or start the local copy with the command below and open the page Gradio serves. Give it one image and wait for the 3D model it makes. ```sh python app.py ``` Example: You give it a clear picture of a single object on a plain background. The Space builds a 3D model of that object from the one image and shows it to you. For newcomers and experts: If you are new to this, open the Space and try the example images from the repository first. Then try a picture of your own with one clear object in it. If you know the field, the Space names sudo-ai/zero123plus-v1.2, facebook/dino-vitb16 and TencentARC/InstantMesh. The repository holds a zero123plus folder, configs and example images. The trade is speed over detail: a model made from one view has to guess the sides it cannot see. ```flow You give it one image Multiple views of the object are inferred A 3D model is built from them The result appears in the page ``` Good to know: - Hardware: the Space runs on zero-a10g at Hugging Face - Input: a single image is enough - License: apache-2 - Cost to run: none named ## On Hugging Face, 13 November 2026 - Likes: 1,609 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/TencentARC/InstantMesh - Files: https://huggingface.co/spaces/TencentARC/InstantMesh/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 [TencentARC/InstantMesh on Hugging Face](https://huggingface.co/spaces/TencentARC/InstantMesh) ## 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 | | --- | --- | --- | --- | --- | | InstantMesh (this page) | 1,609 | gradio | apache-2.0 | 2026-05-22 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## 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 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · victormustar · 2024-04-15](https://news.ycombinator.com/item?id=40042135): InstantMesh: Efficient 3D Mesh Generation from a Single Image - [Hacker News · emilern · 2024-06-21](https://news.ycombinator.com/item?id=40747062): MeshAnything – Converts 3D representations into efficient 3D meshes: Good question. You can if you use this instead: https://huggingface.co/spaces/TencentARC/InstantMesh ## 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: 2026-05-22 - First published: 2024-04-08 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open TencentARC/InstantMesh on Hugging Face](https://huggingface.co/spaces/TencentARC/InstantMesh) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/1ae3bef4-64e6-4fbc-ab14-186522fbac0f) - [Its page on Mindket](https://mindket.com/p/1ae3bef4-64e6-4fbc-ab14-186522fbac0f)