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
| 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 | |
| ``` | |