Bonsai-27B-GGUF
lmstudio-community · Kit
A GGUF conversion of the 27B Bonsai model for LM Studio, with a 3.80 GB Q1_0 language file and a 0.93 GB BF16 vision projector. Tested for text, vision and par…
Turn a text prompt or a picture into a 3D model with Microsoft's TRELLIS.2 in a Gradio app. Runs in your browser or on your own computer with Python 3.12.
TRELLIS.2-Text-to-3D (Rerun) is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download prithivMLmods/TRELLIS.2-Text-to-3D --repo-type space --local-dir TRELLIS.2-Text-to-3D cd TRELLIS.2-Text-to-3D
This Space is a Gradio app that makes 3D models. You can start from a text prompt, which the app first turns into an image, or start from an image you already have.
The 3D step uses TRELLIS.2 at 4B size. The app also names FLUX.1-dev, Z-Image-Turbo, DINOv3 and CLIP models for the other parts of the work.
It suits people who want to see a text or image become a 3D object without installing anything, and developers who want to read how several models chain into one pipeline.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Game development | Indie developers | Turn a concept prompt or sketch image into a 3D asset | Trying out a prop idea before modelling it by hand |
| 3D design | Artists | Start from a picture and look at the generated model | Comparing a few source images for the same object |
| AI development | Developers | Read app.py and the trellis2 folder | Learning how the 3D step is wired to the image step |
| Education | Students | Open the page and try the example images | Seeing what image-to-3D can do |
Skip it if you need production-ready 3D files with support, since this is a demo page.
The app runs in these places.
| Use case | Who | What they get back |
|---|---|---|
| Text to 3D | Anyone curious | A 3D model made from a prompt |
| Image to 3D | Artists | A 3D model made from a picture |
| Study the pipeline | Developers | A repository with the app and the trellis2 code |
Online you only need a browser. A local copy needs these.
pip install -U huggingface_hub hf download prithivMLmods/TRELLIS.2-Text-to-3D --repo-type space --local-dir TRELLIS.2-Text-to-3D cd TRELLIS.2-Text-to-3D pip install gradio==6.14.0 pip install -r requirements.txt python app.py
Open the Space's page, or run the command below in your copy and open the page the app serves. Then type a prompt or add an image and run it.
python app.py
You open the Space, type a short description of an object and run it. The app makes a picture first, then builds a 3D model from it and shows the result on the page.
If you are new, open the Space's page and try one of the example images first, because an image is the shortest route to a 3D result. Then try a text prompt.
If you know the field, this is a multi-model pipeline: a text-to-image stage feeds TRELLIS.2 4B, with DINOv3 and CLIP encoders named beside it. The repository holds 266 files, mostly the trellis2 code, and an autotune_cache.json file. Online it runs on zero-a10g hardware with Gradio 6.14.0.
The name carries the word Rerun, and the source does not explain it. Hugging Face lists the Space with Gradio and MCP tags.
Turn a text prompt or a picture into a 3D model with Microsoft's TRELLIS.2 in a Gradio app. Runs in your browser or on your own computer with Python 3.12.
Made by prithivMLmods 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.
What it is: This Space is a Gradio app that makes 3D models. You can start from a text prompt, which the app first turns into an image, or start from an image you already have.
The 3D step uses TRELLIS.2 at 4B size. The app also names FLUX.1-dev, Z-Image-Turbo, DINOv3 and CLIP models for the other parts of the work.
Who it suits: It suits people who want to see a text or image become a 3D object without installing anything, and developers who want to read how several models chain into one pipeline.
Industry | Who uses it | How they use it | Example
Game development | Indie developers | Turn a concept prompt or sketch image into a 3D asset | Trying out a prop idea before modelling it by hand
3D design | Artists | Start from a picture and look at the generated model | Comparing a few source images for the same object
AI development | Developers | Read app.py and the trellis2 folder | Learning how the 3D step is wired to the image step
Education | Students | Open the page and try the example images | Seeing what image-to-3D can do
Skip it if you need production-ready 3D files with support, since this is a demo page.
Where to use it: The app runs in these places.
Use case | Who | What they get back
Text to 3D | Anyone curious | A 3D model made from a prompt
Image to 3D | Artists | A 3D model made from a picture
Study the pipeline | Developers | A repository with the app and the trellis2 code
How to set it up: Online you only need a browser. A local copy needs these.
pip install -U huggingface_hub
hf download prithivMLmods/TRELLIS.2-Text-to-3D --repo-type space --local-dir TRELLIS.2-Text-to-3D
cd TRELLIS.2-Text-to-3D
pip install gradio==6.14.0
pip install -r requirements.txt
python app.py
How to use it: Open the Space's page, or run the command below in your copy and open the page the app serves. Then type a prompt or add an image and run it.
python app.py
Example: You open the Space, type a short description of an object and run it. The app makes a picture first, then builds a 3D model from it and shows the result on the page.
For newcomers and experts: If you are new, open the Space's page and try one of the example images first, because an image is the shortest route to a 3D result. Then try a text prompt.
If you know the field, this is a multi-model pipeline: a text-to-image stage feeds TRELLIS.2 4B, with DINOv3 and CLIP encoders named beside it. The repository holds 266 files, mostly the trellis2 code, and an autotune_cache.json file. Online it runs on zero-a10g hardware with Gradio 6.14.0.
Type a prompt or add an image
A prompt becomes an image first
TRELLIS.2 builds a 3D model from it
The model shows on the same page
Good to know: The name carries the word Rerun, and the source does not explain it. Hugging Face lists the Space with Gradio and MCP tags.
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.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| TRELLIS.2-Text-to-3D (Rerun) This page | 58 | gradio | apache-2.0 | |
| Z Image TurboShares mcp-server · gradio | 1,940 | gradio | apache-2.0 | |
| TRELLISShares mcp-server · gradio | 817 | gradio | mit | |
| FLUX.2 Klein LoRA StudioShares mcp-server · gradio | 170 | gradio | apache-2.0 | |
| SAM3 DemoShares mcp-server · gradio | 91 | gradio | apache-2.0 | |
| Multi-Agent AI - CodingShares mcp-server · gradio | 39 | gradio | apache-2.0 |
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