Instructions to use LiXiY/ReferenceAnomaly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LiXiY/ReferenceAnomaly 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("LiXiY/ReferenceAnomaly", 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 config.json from LiXiY/ReferenceAnomaly: direct link, hf CLI and curl.
- Browser
- Download file 37 Bytes
-
https://huggingface.co/LiXiY/ReferenceAnomaly/resolve/main/config.json
- Command line
-
hf download hf://LiXiY/ReferenceAnomaly/config.json
-
curl -L -o config.json https://huggingface.co/LiXiY/ReferenceAnomaly/resolve/main/config.json
37 Bytes
| { | |
| "name" : "ReferenceAnomaly" | |
| } |