Instructions to use SHotoor/stellai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SHotoor/stellai 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("SHotoor/stellai") prompt = "<trigger? A woman with long white hair kneels on the ground in a forest. She wears black and red samurai armor with gold details and a black helmet featuring large golden crescent-shaped horns. Smoke drifts from her hair. She holds a katana with a flaming blade in her right hand, while her left hand rests on the ground. The scene is surrounded by trees and foliage." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 8a1757f2c0cf60bca5da36bf7cac64bb2841db2919046366be1cd16ed9597c48
- Size of remote file:
- 1.51 MB
- SHA256:
- 9fa65b3b44fedc63ffa7d549bde972f530d30b38df03caea34be77152f7ad611
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.