Instructions to use jiangmu/DreamStyle3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Trellis
How to use jiangmu/DreamStyle3D 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: 1,028 Bytes
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base_model: microsoft/TRELLIS-image-large
tags:
- image-to-3d
- 3d
- stylization
- trellis
---
# DreamStyle3D
DreamStyle3D is an efficient framework for generating stylized 3D assets from a content image
and a style image.
## Files
The model repository contains the model configuration and safetensors weights:
```text
dreamstyle3d_slat_flow.json
dreamstyle3d_slat_flow.safetensors
```
## Usage
From the DreamStyle3D source repository, download TRELLIS and install this checkpoint with:
```bash
python scripts/install_models.py \
--dreamstyle-repo jiangmu/DreamStyle3D
```
The installer places both files under
`ckpts/trellis-image-large/ckpts/dreamstyle3d/` and updates the TRELLIS `pipeline.json` entry to:
```json
"slat_flow_model": "ckpts/dreamstyle3d/dreamstyle3d_slat_flow"
```
## SHA-256
```text
d581edb3e57ef92dbe553651b9576ba1f536c274cb4d0e74d1d610513005103f dreamstyle3d_slat_flow.json
fd0e00fa691df80cb03befbec1f68bcf1f03d1323db367b0d129a4eb84921ee6 dreamstyle3d_slat_flow.safetensors
```
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