Instructions to use ifnodoraemon/Kontext-Style-Loras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ifnodoraemon/Kontext-Style-Loras 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("ifnodoraemon/Kontext-Style-Loras", 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 style_comparison_02.jpg from ifnodoraemon/Kontext-Style-Loras: direct link, hf CLI and curl.
- Browser
- Download file 2.09 MB
-
https://huggingface.co/ifnodoraemon/Kontext-Style-Loras/resolve/main/style_comparison_02.jpg
- Command line
-
hf download hf://ifnodoraemon/Kontext-Style-Loras/style_comparison_02.jpg
-
curl -L -o style_comparison_02.jpg https://huggingface.co/ifnodoraemon/Kontext-Style-Loras/resolve/main/style_comparison_02.jpg
2.09 MB

- Xet hash:
- d1cb640be6662443747bda00b951cc8b5e42b2f2bd8ba288b8592ff23ddb4e5e
- Size of remote file:
- 2.09 MB
- SHA256:
- c60b842cf9e7cb2d349b77ba73ccf7a2c9e0044cfc884407cc8b4c3f152971e6
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