Instructions to use gradient-spaces/ReStyle3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gradient-spaces/ReStyle3D with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gradient-spaces/ReStyle3D", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,17 +1,25 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: creativeml-openrail-m
|
| 3 |
-
language:
|
| 4 |
-
- en
|
| 5 |
-
base_model:
|
| 6 |
-
- stabilityai/stable-diffusion-xl-base-1.0
|
| 7 |
-
pipeline_tag: image-to-image
|
| 8 |
-
tags:
|
| 9 |
-
- SIGGRAPH
|
| 10 |
-
- 3D-Stylization
|
| 11 |
-
- ReStyle3D
|
| 12 |
-
-
|
|
|
|
| 13 |
|
| 14 |
This repo contains the model weights for our SIGGRAPH 2025 paper:
|
| 15 |
|
| 16 |
-
Scene-level Appearance Transfer with Semantic Correspondences
|
| 17 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: creativeml-openrail-m
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
base_model:
|
| 6 |
+
- stabilityai/stable-diffusion-xl-base-1.0
|
| 7 |
+
pipeline_tag: image-to-image
|
| 8 |
+
tags:
|
| 9 |
+
- SIGGRAPH
|
| 10 |
+
- 3D-Stylization
|
| 11 |
+
- ReStyle3D
|
| 12 |
+
- cvpr
|
| 13 |
+
---
|
| 14 |
|
| 15 |
This repo contains the model weights for our SIGGRAPH 2025 paper:
|
| 16 |
|
| 17 |
+
ReStyle3D: Scene-level Appearance Transfer with Semantic Correspondences
|
| 18 |
+
|
| 19 |
+
[Project](https://restyle3d.github.io/) | [Code](https://github.com/GradientSpaces/ReStyle3D)
|
| 20 |
+
|
| 21 |
+
<p align="center">
|
| 22 |
+
<a href="">
|
| 23 |
+
<img src="https://arxiv.org/html/2502.10377v1/x1.png" width="100%">
|
| 24 |
+
</a>
|
| 25 |
+
</p>
|