Instructions to use guillekenzo/aros-d64208fe-Sana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guillekenzo/aros-d64208fe-Sana 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-d64208fe-Sana") prompt = "A photo of rbv woman on a wooden table indoors." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 436de9d5468eb64e1c952cf8b2e9e9e50dd23d1402cbacc9750c9398a2d9478d
- Size of remote file:
- 1.1 MB
- SHA256:
- 91ac9dff18b41c9388a5f185707571967f7d22040907bc5b998c0d554dd2a9b1
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