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:
- 416d91540f7956556f52f795fb713d15578ba4d9aa6a55fbf1179b77aa054720
- Size of remote file:
- 1.12 MB
- SHA256:
- daaab2bbead8875388fc86374009723b8be2fa033e4f4aa390a2b25e5c4c7a1c
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