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:
- 267f596e805e43c3c1f663210d6029b201f37e32553fdf8b5073101d6050c920
- Size of remote file:
- 195 MB
- SHA256:
- dd4624bf416adcbaa9f25bf22e9b8c114dc27938d4f3350f6f46e6826a3333f6
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