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
Add pipeline tag (#1)
Browse files- Add pipeline tag (e6fa0855c60eda050b42e2dfd3e0a5d77a03fa6c)
Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>
README.md
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license: other
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