Instructions to use ekato/moeka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ekato/moeka 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/moeka") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f787fbe341aca69b4c011dc74e4af87eab878e26fbd162990f04b41a8ea79770
- Size of remote file:
- 81.6 MB
- SHA256:
- 7ad2be6eba04e931b427f1fece97ca374394c20707416794c41c8ab9390f3b84
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