Instructions to use Boogu/Boogu-Image-0.1-Edit-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Boogu/Boogu-Image-0.1-Edit-fp8 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("Boogu/Boogu-Image-0.1-Edit-fp8", 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:
- d94af8ad573f2a3c21445d8e25de5aa20996403f88f16124c811b5cc53a895d8
- Size of remote file:
- 10.9 MB
- SHA256:
- b93c808fb20a2e66077c6f71ab8fdbd94cff3dd8f28fffcc8b140405b9183f98
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