Instructions to use Kontext-Style/Pop_Art_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kontext-Style/Pop_Art_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/Pop_Art_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-4.png from Kontext-Style/Pop_Art_lora: direct link, hf CLI and curl.
- Browser
- Download file 3.28 MB
-
https://huggingface.co/Kontext-Style/Pop_Art_lora/resolve/main/example-4.png
- Command line
-
hf download hf://Kontext-Style/Pop_Art_lora/example-4.png
-
curl -L -o example-4.png https://huggingface.co/Kontext-Style/Pop_Art_lora/resolve/main/example-4.png
3.28 MB

- Xet hash:
- d82189f55ea9526f57072593d4ffb76976a65c09953a8cbc35e8e3bb58f35d11
- Size of remote file:
- 3.28 MB
- SHA256:
- 01ebc1941f97df31406cb8aae64313ce1dbf304974b7074eee5c701bf83f7a8b
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