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:
- a0ac4630a3d9c6fb332a7d8ac72f2e27f8894d0e7d8eef98b33d04dc8388dd76
- Size of remote file:
- 195 MB
- SHA256:
- fa5cc4d27b71ae28556604b9c01fc4f67b47297966980d4a55d1e0203f7e8638
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