Instructions to use vafipas663/flux-krea-extracted-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vafipas663/flux-krea-extracted-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-Krea-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("vafipas663/flux-krea-extracted-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] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
you can make a lora from kontex model?
#2 opened 10 months ago
by
kalle07
A 2.45 GB Lora?
👍 2
8
#1 opened 10 months ago
by
RamonGuthrie