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
Download assets/photography_triptych.png from Boogu/Boogu-Image-0.1-Edit-fp8: direct link, hf CLI and curl.
- Browser
- Download file 5.35 MB
-
https://huggingface.co/Boogu/Boogu-Image-0.1-Edit-fp8/resolve/main/assets/photography_triptych.png
- Command line
-
hf download hf://Boogu/Boogu-Image-0.1-Edit-fp8/assets/photography_triptych.png
-
curl -L -o photography_triptych.png https://huggingface.co/Boogu/Boogu-Image-0.1-Edit-fp8/resolve/main/assets/photography_triptych.png
5.35 MB

- Xet hash:
- 893f59fad63b6339e55121c010fe9f7db3d37cfed52dd64828e6f1add8e31f90
- Size of remote file:
- 5.35 MB
- SHA256:
- 38126dddf09a4e9dadb5633847f4c2a4a0d6335c15d8f872942edbaea7ab4af2
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