Instructions to use Praelatus/Eito_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Praelatus/Eito_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/Eito_Style") prompt = "<lora:Eito_AnimaV1:1> @eitst, The image depicts a young woman with long blonde hair, styled with three black hair clips on the right side. She is sweating and blushing, looking slightly confused with a small question mark near her head. Her right arm is raised, resting behind her head, while her left hand is placed on her hip. She wears a white tank top that reveals her shoulders and upper chest, showing some sweat droplets on her skin. Her eyes are half-open, and she looks downward with a subtle frown. The background is plain white, drawing attention solely to the woman. The overall composition focuses on her expression and posture, emphasizing her discomfort or confusion., posing" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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