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
- Draw Things
Question about training data for Overlay-Kontext-Dev-LoRA
#7 opened 6 months ago
by
zhangjinyang
Training details
#6 opened 10 months ago
by
darkfelix89
Difference between regular and converted?
👍 1
1
#5 opened 10 months ago
by
melmass
Access the model
#4 opened 10 months ago
by
Maaz8900
KeyError when loading LoRA for Flux model: missing lora_unet_final_layer_adaLN_modulation_1 weights
10
#3 opened 10 months ago
by
NEWWWWWbie