Instructions to use loyal-misc/swizz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use loyal-misc/swizz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LyliaEngine/Pony_Diffusion_V6_XL", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("loyal-misc/swizz") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1b6eb35710af355ff6304e03fae23d58062f250da915cbf886dbe77285e35289
- Size of remote file:
- 913 MB
- SHA256:
- 3bfffd1edde293ac590415f02bcda724871708c315327cacd46ceac08bb599dd
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