Instructions to use Kontext-Style/Irasutoya_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kontext-Style/Irasutoya_lora 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("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kontext-Style/Irasutoya_lora") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things

- Xet hash:
- 49db9e1da32bc979d671a7358cda773843524ba01ce9b8595df03cbab141df37
- Size of remote file:
- 4.65 MB
- SHA256:
- f7bbffa61191b8230a2f36711dfbf90b4eb11fd98124ecde420e90e8ca8dddfd
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