Instructions to use ekato/Aimyon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ekato/Aimyon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ekato/Aimyon") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 44fabe1b04b29690ed2e2f3fc72a006d6a58bb3e67803752c13a04cf622a5bf6
- Size of remote file:
- 110 MB
- SHA256:
- 01cac5ea0ab0cefbe8918b6196db288016abe419b7de97c69712ff4aa5fc93f5
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