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:
- 04a3261516443242e0d808bed3503809a360458e52b632a0ae6f84d8e4559b5c
- Size of remote file:
- 913 MB
- SHA256:
- 717e2cc3aa6e493965d5cbe07d8c0a57b8ff09ffe1e095eccbcf59709e58f12c
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