Instructions to use boredcoder/Fibo-Edit-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use boredcoder/Fibo-Edit-4bit 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("boredcoder/Fibo-Edit-4bit", 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:
- d4f5b4a3d30684ca648249f881a8f734bc8f24a220f1fa49c8fc91f4bb204643
- Size of remote file:
- 1.41 GB
- SHA256:
- 230496cb59ff85bc9c040487737c4062480cb61c71e697b197b4c30142f2a0da
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