Instructions to use guillekenzo/aros-083fd86f-FrostedEcho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guillekenzo/aros-083fd86f-FrostedEcho 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-083fd86f-FrostedEcho") prompt = "A photo of hrpbs woman on a wooden table indoors." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- bbc7d9b5898c28feb588b77fdade6a597bcd0ad716e2c7fd3c7344f2b6b921da
- Size of remote file:
- 1.32 MB
- SHA256:
- 779ec3dfd299e10b4fe94e5f391c97d1f686d5cba57b1b69ddb149affeebd01e
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