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:
- 3d7dd467ab5a1309b7fbde2eb5d66ace10e80ebfe4dee16cf15804a29e0acd44
- Size of remote file:
- 913 MB
- SHA256:
- 9f8c02c18fd98d699612f38e7a95b0201f013d514ed5947eb531aa9310c76692
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.