Instructions to use Kontext-Style/Jojo_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kontext-Style/Jojo_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/Jojo_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-5.png from Kontext-Style/Jojo_lora: direct link, hf CLI and curl.
- Browser
- Download file 3.8 MB
-
https://huggingface.co/Kontext-Style/Jojo_lora/resolve/main/example-5.png
- Command line
-
hf download hf://Kontext-Style/Jojo_lora/example-5.png
-
curl -L -o example-5.png https://huggingface.co/Kontext-Style/Jojo_lora/resolve/main/example-5.png
3.8 MB

- Xet hash:
- 5fdc081a3f7ac438a6e9f32e58eb01023e0270e6341066f507366d8c42a0423d
- Size of remote file:
- 3.8 MB
- SHA256:
- a10dfa6f1e0ab658442f9f769d07f0b766d69f9f91700cee2f282a4c459a4294
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.