Instructions to use Praelatus/Nanase_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Praelatus/Nanase_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/Nanase_Style") prompt = "<lora:Nanase_AnimaV1:1> @nnsst, The image depicts a young girl with curly brown hair resting her cheek on her hand, looking slightly downward with a thoughtful expression. She has large, brown eyes and blush on her cheeks. She wears a traditional Japanese school uniform with a dark blue sailor collar, a white shirt, and a red necktie tied at the front. Her right arm is bent at the elbow, supporting her head. The background is plain and unobtrusive, focusing attention on the girl's face and upper torso. The overall color palette includes soft greens, blues, reds, and natural skin tones. The texture of the image suggests a gentle, pastel-like quality, emphasizing a calm and reflective mood." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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