Instructions to use LinxiaoShi/Magicbokeh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LinxiaoShi/Magicbokeh 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("LinxiaoShi/Magicbokeh", 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:
- d3c89584aedf994c9e14e8382673dceb1d696a6591ce08e62cae92bc11eee5e1
- Size of remote file:
- 1.01 GB
- SHA256:
- 3a1a8907aeca382e3756d7d8a4d3203cf6fdf65af45925f90cad412c81086491
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