Instructions to use aimalias/cayl33-krea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/cayl33-krea with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/cayl33-krea") prompt = "A cinematic shot of a cayl33 woman wearing futuristic neon armor, standing amidst the rainy, glowing skyscrapers of a cyberpunk metropolis." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bce19a5a7cd3bd1f130a9a3cd5ac24b9ddf0c8e374d0053b74cc7043be39c640
- Size of remote file:
- 195 MB
- SHA256:
- 1819910b77ee304f5efb668139f3fe676973419d41540d01b84bd2b0cec8f1f6
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