Instructions to use Kontext-Style/Paper_Cutting_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kontext-Style/Paper_Cutting_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/Paper_Cutting_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:
- d55458b9245c12ea7aa2e5e6dc231b3fc9d570c459aa4ff8f078a3499c89e3bc
- Size of remote file:
- 3.59 MB
- SHA256:
- 7906cb7dd1349bb032be12c9f670ba0bc60b782dbb4a1315e9646e775d28fe75
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