Instructions to use Kontext-Style/3D_Chibi_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kontext-Style/3D_Chibi_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/3D_Chibi_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-2.png from Kontext-Style/3D_Chibi_lora: direct link, hf CLI and curl.
- Browser
- Download file 2.17 MB
-
https://huggingface.co/Kontext-Style/3D_Chibi_lora/resolve/7c049ea31c283874fcc98d20f9466b78e43dfd2f/example-2.png
- Command line
-
hf download hf://Kontext-Style/3D_Chibi_lora@7c049ea31c283874fcc98d20f9466b78e43dfd2f/example-2.png
-
curl -L -o example-2.png https://huggingface.co/Kontext-Style/3D_Chibi_lora/resolve/7c049ea31c283874fcc98d20f9466b78e43dfd2f/example-2.png
2.17 MB

- Xet hash:
- 39f842deb8e77c428dede31a4b1943ebc5702fcdf8272b55eb832f9c51a17b4b
- Size of remote file:
- 2.17 MB
- SHA256:
- 099c0211ca885e944220c156675710d407e6c7509ba3b8a43c8eb2e32a6e1b0c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.