Instructions to use aimalias/l3anad-krea with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/l3anad-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/l3anad-krea") prompt = "A cinematic shot of a L3ANAD woman in shimmering futuristic armor standing amidst the neon-lit skyscrapers of a rainy cyberpunk metropolis." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bc1d3183e64582e4e0ede7a2ff89ff2e4bf90c50bbf33e594853eda3aa0a8d64
- Size of remote file:
- 195 MB
- SHA256:
- a357bec3e1279f49f49238eea05395aba8d3bf11f7a507752671d346cdf4c93f
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