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
- Xet hash:
- 2fedb4bb5b9f2e38f11184c75183c5e3ed42e9527975ca213ce46873e48827f8
- Size of remote file:
- 5.14 GB
- SHA256:
- 7911e1be05dba4ed1556b3443a7c71b2c2e69f730c1d17fba5f93d0d56dbd4ef
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