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 Settings
- Draw Things
Download example-1.png from Kontext-Style/Paper_Cutting_lora: direct link, hf CLI and curl.
- Browser
- Download file 4.06 MB
-
https://huggingface.co/Kontext-Style/Paper_Cutting_lora/resolve/refs%2Fpr%2F1/example-1.png
- Command line
-
hf download hf://Kontext-Style/Paper_Cutting_lora@refs/pr/1/example-1.png
-
curl -L -o example-1.png https://huggingface.co/Kontext-Style/Paper_Cutting_lora/resolve/refs%2Fpr%2F1/example-1.png
4.06 MB

- Xet hash:
- 75917ed7162e45064ef4011f16ade82e9587be128e73f5a79bf8c04184a016a9
- Size of remote file:
- 4.06 MB
- SHA256:
- 7786d30a4fddfd62f660c050ae7317efa855da78db795a2d51172554169ee065
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.