Instructions to use TencentARC/OREO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Trellis
How to use TencentARC/OREO with Trellis:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 538 Bytes
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license: mit
library_name: pytorch
tags:
- 3d
- oreo
- rendering
- editing
- trellis
pipeline_tag: other
---
# OREO
Checkpoints for **OREO (Rendering-Editing-Optimization)**.
## Checkpoints
- [`oreo_v1/`](oreo_v1): released weights corresponding to training `checkpoint_10_3157` (global step 3157)
- `model.safetensors`
- `model_1.safetensors`
```bash
hf download TencentARC/OREO --include 'oreo_v1/*' --local-dir ./checkpoints/oreo_v1
```
## Code
- GitHub: https://github.com/TencentARC/OREO-RenderingEdittingOptimization
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