Instructions to use Praelatus/Jessilvaniaa_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Praelatus/Jessilvaniaa_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/Jessilvaniaa_Style") prompt = "<lora:Jes_AnimaV1:1> @jsslnst, A digital illustration depicts a young girl with long brown hair and large, expressive eyes, holding an open book with her right hand. She wears a white blouse with puffy sleeves and a dark blue dress with lace trim. Her cheeks are flushed pink, and she has a small smile on her face. Surrounding her are numerous pink roses and yellow star-shaped sparkles. A black string with loops wraps around the lower part of the image. In the upper left corner, there's a simple drawing of an envelope. The background consists of a mix of purple and pink hues with a textured, almost watercolor-like appearance. The overall composition centers the girl and the book, which has some unreadable text on its cover. The color palette includes soft pinks, purples, and yellows." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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