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:
- c7b4ddd7b5e535ca5f6e44d293b2be1e1edc25022a1a0b7fee5b794c90aa6732
- Size of remote file:
- 4.66 GB
- SHA256:
- 8e0394e914a6159146a6d7d5917a5d92cc4307d18e453f44256fa25291378422
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.