Spaces:
Running on Zero
Running on Zero
A newer version of the Gradio SDK is available: 6.19.0
metadata
title: Instruct Particulate
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.0.2
app_file: app.py
pinned: false
Instruct Particulate Demo
This repository contains a self-contained Gradio demo for the
FINAL-ours-final_2026-05-01T12-36-12 Instruct Particulate checkpoint.
On Hugging Face Spaces, the large model checkpoint is downloaded at startup
from rayli/instruct-particulate-model.
Runtime outputs are written under /data when that mount is available, so the
Space can use the rayli/instruct-particulate-results read/write bucket. Local
runs fall back to ./data. Set INSTRUCT_PARTICULATE_OUTPUT_ROOT to override
that location.
Run:
CUDA_VISIBLE_DEVICES=0 python app.py
The app accepts one .glb or .obj mesh and a kinematic tree JSON. Link IDs
must be dense integers starting at 0; joints use revolute or prismatic.