Instructions to use aimalias/sw33n3y3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/sw33n3y3 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/sw33n3y3") prompt = "A cinematic shot of a SW33N3Y woman wearing holographic armor, standing amidst the neon-drenched skyscrapers of a rainy cyberpunk metropolis." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b3c2062ba0353e86691932bfd11d48c3040f3a14c63c5722a48828efc0806fbe
- Size of remote file:
- 195 MB
- SHA256:
- 42b00bfece7ca8f1016e728b40f9f0cb20113df442a1486d0fd8e852c7e89d00
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