Instructions to use Kontext-Style/Van_Gogh_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kontext-Style/Van_Gogh_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/Van_Gogh_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:
- 1b5928e281c0800843b1ab2d418ece7944483085c50328290541724b2ddb42a9
- Size of remote file:
- 4.45 MB
- SHA256:
- d5a472fa02515fcc4054c775e115c4715690d21cd61227588c433f504f5fb2af
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