microsoft / microsoft/TRELLIS

I made a full tutorial for TRELLIS - all pre-compiled libraries - 1-Click to Install - Fully supporting RTX 5000 series and older GPUs with Python VENV

Open
#259 1 comment 4 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
13.7k
Forks
1.3k
PR merge metrics
No merged PRs in 30d

Description

Thank you so much Microsoft Team. If you are not ok with this post you can close it.

Edit : my installer uses a backup repo now so it works

Installing TRELLIS for RTX 5000 series on Windows is a nightmare. But I made it effortlessly work after working few days. Also the advanced Gradio App has so many features including as low as 6 GB VRAM with offloading and FP16 (I thank trellis-stable-projectorz a lot)

Moreover I have RunPod and Massed Compute installers so GPU poor can also run this app very easily. I compiled Libraries for Linux as well.

Tutorial link : https://youtu.be/EhU7Jil9WAk

Step by Step TRELLIS Tutorial to Generate Amazing High-Quality 3D Assets from Static Images Locally

image

Image

Our App interface below

Image

Few examples

https://github.com/user-attachments/assets/3a6b288b-dd1d-4405-857f-aeb28eef9775

https://github.com/user-attachments/assets/04ba7333-4c48-40f3-a70e-6a2701092d22

https://github.com/user-attachments/assets/f3439024-0131-466e-86bf-2d084950915f

https://github.com/user-attachments/assets/0bd271b3-317a-4cf8-8c10-26aac8172771

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue provides a YouTube tutorial and describes Windows, Linux, RunPod, Massed Compute, Gradio, and GPU installation support, but names no repository file, test, or entry point. Start by reviewing the linked tutorial against the repository's existing installation guidance; a useful contribution would need a maintainer-approved documentation location and a clearly defined scope.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.