Instructions to use guillekenzo/aros-00ae1a96-Lynx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guillekenzo/aros-00ae1a96-Lynx 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("guillekenzo/aros-00ae1a96-Lynx") prompt = "A photo of rzmsj woman on a wooden table indoors." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 73f0dbc73f36b6451cf115d5befa9955b3fc2bbda2339bc65c0d6763b2130d6f
- Size of remote file:
- 1.33 MB
- SHA256:
- 91540639d21d28e4135724fca059aa8f37096a07e95571939e613823f7b4bd11
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