Instructions to use Kontext-Style/LEGO_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kontext-Style/LEGO_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/LEGO_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-6.png from Kontext-Style/LEGO_lora: direct link, hf CLI and curl.
- Browser
- Download file 2.23 MB
-
https://huggingface.co/Kontext-Style/LEGO_lora/resolve/main/example-6.png
- Command line
-
hf download hf://Kontext-Style/LEGO_lora/example-6.png
-
curl -L -o example-6.png https://huggingface.co/Kontext-Style/LEGO_lora/resolve/main/example-6.png
2.23 MB

- Xet hash:
- c4ec12582fad13e3b102baffce20ca49c08ff11b868b617b19b6b88a8ecd435e
- Size of remote file:
- 2.23 MB
- SHA256:
- d4dec33406606fe06ff0228fadfcf1795351d66306f9f72438384d38ab16209e
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