Instructions to use aimalias/k33l3y-krea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/k33l3y-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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/k33l3y-krea") prompt = "A k33l3y woman wearing holographic armor standing amidst the neon-drenched skyscrapers of a futuristic cyberpunk city during a rainstorm." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 6fa22c9009d67036c83cd058471decda046e0da2edbfd5d777b862dda317ec07
- Size of remote file:
- 1.51 MB
- SHA256:
- 0b2c8791970c2a32dd4684d6c279304a8040bfad3791d5e19b02ff474aaba140
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