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-1.png from Kontext-Style/3D_Chibi_lora: direct link, hf CLI and curl.
- Browser
- Download file 2.94 MB
-
https://huggingface.co/Kontext-Style/3D_Chibi_lora/resolve/525009e54f69e815e08c7323bf013bb818f193fe/example-1.png
- Command line
-
hf download hf://Kontext-Style/3D_Chibi_lora@525009e54f69e815e08c7323bf013bb818f193fe/example-1.png
-
curl -L -o example-1.png https://huggingface.co/Kontext-Style/3D_Chibi_lora/resolve/525009e54f69e815e08c7323bf013bb818f193fe/example-1.png
2.94 MB

- Xet hash:
- c6445f4793a1c6288ed09c88c05fcd92516d36cd608269d9e95451a137b80a2a
- Size of remote file:
- 2.94 MB
- SHA256:
- 43f6e4f19181735bbdc38233b3952f3227ae9eff8ac027e348c42b26ccd2f771
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