Instructions to use LiuZichen/MagicQuill-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LiuZichen/MagicQuill-models 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("LiuZichen/MagicQuill-models", 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:
- 9a530ed2d9dde1c54b2f77c0749f94b0c9e5afde4ceaee8d2394499f6491092c
- Size of remote file:
- 2.87 MB
- SHA256:
- 80860ac267258b5f27486e0ef152a211d0b08120f62aeb185a050acc30da486c
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