Instructions to use Praelatus/Ikelag_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Praelatus/Ikelag_Style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("circlestone-labs/Anima", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Praelatus/Ikelag_Style") prompt = "<lora:Ikelag_AnimaV1:1> @iklgst, 1girl, solo, black hair, japanese clothes, miko, braid, brown eyes, smile, portrait, shrine, slightly turn around, hakama, saggy breast" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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