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:
- 1761a9b7827efc7b72dae80c2e1cf5f641133e715c9a1d36cccaeb2dbf12a999
- Size of remote file:
- 913 MB
- SHA256:
- 8c341c9a82561be8c34bb1f67569ea6e6a369ebf4203b7bb49cc517b4b6bb83c
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