Instructions to use Praelatus/Kubikiri_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Praelatus/Kubikiri_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/Kubikiri_Style") prompt = "masterpiece, best quality, score_7, <lora:Kubikiri_AnimaV2:1> @kubikiri, A digital drawing of a young woman with short blonde hair in a side ponytail, wearing a military-style uniform with shoulder epaulettes. She has large, expressive blue eyes and a slight smile on her face. The uniform is greenish-gray with a high collar and a visible zipper. Her hair has a black ribbon tied around it, and there are subtle shading and line variations that suggest a sketch-like quality. The background is plain white, focusing attention entirely on the subject. The overall composition centers the woman's upper body, highlighting her facial features and uniform. Her skin is fair, and she has a youthful appearance. The drawing emphasizes simplicity and focus on the character's expression and attire., sketch, pencil drawing, traditional media, half-turned, line-art" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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