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
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This repo contains the model weights for our SIGGRAPH 2025 paper:
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Scene-level Appearance Transfer with Semantic Correspondences
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[](https://restyle3d.github.io/) [](https://arxiv.org/abs/2502.10377)
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This repo contains the model weights for our SIGGRAPH 2025 paper:
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Scene-level Appearance Transfer with Semantic Correspondences
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[](https://restyle3d.github.io/) [](https://arxiv.org/abs/2502.10377)
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