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
Add pipeline tag, license, and link to paper
Browse filesThis PR improves the model card by:
- Adding `pipeline_tag: image-to-3d`, ensuring the model can be found at https://huggingface.co/models?pipeline_tag=image-to-3d.
- Adding the license (`cc-by-nc-4.0`), as stated in the [Github repository](https://github.com/HVision-NKU/DreamStyle3D).
- Linking the model card to the paper page [DreamStyle3D: Efficient 3D Stylized Asset Generation via Dual-Attention Disentanglement](https://huggingface.co/papers/2607.24721), so the model is indexed there.
README.md
CHANGED
|
@@ -1,16 +1,18 @@
|
|
| 1 |
---
|
| 2 |
base_model: microsoft/TRELLIS-image-large
|
|
|
|
|
|
|
| 3 |
tags:
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
---
|
| 9 |
|
| 10 |
# DreamStyle3D
|
| 11 |
|
| 12 |
DreamStyle3D is an efficient framework for generating stylized 3D assets from a content image
|
| 13 |
-
and a style image.
|
| 14 |
|
| 15 |
## Files
|
| 16 |
|
|
@@ -42,4 +44,4 @@ The installer places both files under
|
|
| 42 |
```text
|
| 43 |
d581edb3e57ef92dbe553651b9576ba1f536c274cb4d0e74d1d610513005103f dreamstyle3d_slat_flow.json
|
| 44 |
fd0e00fa691df80cb03befbec1f68bcf1f03d1323db367b0d129a4eb84921ee6 dreamstyle3d_slat_flow.safetensors
|
| 45 |
-
```
|
|
|
|
| 1 |
---
|
| 2 |
base_model: microsoft/TRELLIS-image-large
|
| 3 |
+
pipeline_tag: image-to-3d
|
| 4 |
+
license: cc-by-nc-4.0
|
| 5 |
tags:
|
| 6 |
+
- image-to-3d
|
| 7 |
+
- 3d
|
| 8 |
+
- stylization
|
| 9 |
+
- trellis
|
| 10 |
---
|
| 11 |
|
| 12 |
# DreamStyle3D
|
| 13 |
|
| 14 |
DreamStyle3D is an efficient framework for generating stylized 3D assets from a content image
|
| 15 |
+
and a style image, presented in the paper [DreamStyle3D: Efficient 3D Stylized Asset Generation via Dual-Attention Disentanglement](https://huggingface.co/papers/2607.24721).
|
| 16 |
|
| 17 |
## Files
|
| 18 |
|
|
|
|
| 44 |
```text
|
| 45 |
d581edb3e57ef92dbe553651b9576ba1f536c274cb4d0e74d1d610513005103f dreamstyle3d_slat_flow.json
|
| 46 |
fd0e00fa691df80cb03befbec1f68bcf1f03d1323db367b0d129a4eb84921ee6 dreamstyle3d_slat_flow.safetensors
|
| 47 |
+
```
|