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:
- b74211a07c42dff0a9a65e47b6c99d2e9abfde8b8dafc0311da9c3b8d0f42fe9
- Size of remote file:
- 1.26 MB
- SHA256:
- 0deae47c3ff426d3219db70d44484dc9864ee401fea95342df87ed731e3a6a03
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