| base_model: microsoft/TRELLIS-image-large | |
| pipeline_tag: image-to-3d | |
| license: cc-by-nc-4.0 | |
| 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, presented in the paper [DreamStyle3D: Efficient 3D Stylized Asset Generation via Dual-Attention Disentanglement](https://huggingface.co/papers/2607.24721). | |
| ## 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 | |
| ``` |