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:
- 1a0f15207d81651cd4516e0072cc5656402c19a35c1957588b046bd17a877e62
- Size of remote file:
- 195 MB
- SHA256:
- 98c5298736f6a1e91a236f354065e764e76c4eb5e15b6ee871a754cb01f5decd
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