Instructions to use ilkerzgi/Overlay-Kontext-Dev-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ilkerzgi/Overlay-Kontext-Dev-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("ilkerzgi/Overlay-Kontext-Dev-LoRA") prompt = "Place it" 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

- Xet hash:
- 2a0f501669aac4103f003a2e78c3dd1034032542daadee84cb9c24e60640a423
- Size of remote file:
- 1.37 MB
- SHA256:
- e9fd47a613659b6232bce2cc7a1275ede407759c932ab66f29f8f69f2484dbc6
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