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:
- 4b4512110527869f53a0f5b7a25ee4875c8ab55f9359fa6bf3ac0d79a6617b0c
- Size of remote file:
- 1.03 MB
- SHA256:
- 6233aa7671fa550eb6c1616a5827fa7e059ad5b473dc3ee8c959df2e9efee63a
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