Instructions to use ekato/ainatheend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ekato/ainatheend 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ekato/ainatheend") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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version https://git-lfs.github.com/spec/v1
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oid sha256:1fb1f1d64e5cfc60a28f967597285efd1a423aff04494e87fdd5421e6f5e63aa
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size 155265389
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