Instructions to use Praelatus/Pooooop_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Praelatus/Pooooop_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/Pooooop_Style") prompt = "<lora:Pooop_AnimaV1:1> @ppst, The lines of the drawing are loose and sketchy. The image depicts a young woman with long blonde hair, smiling widely. She has blush marks on her cheeks and is wearing a frilled dress with multiple layers of ruffles. The dress features a high collar, puffed sleeves, exposed cleavage and buttons down the front. There are small bows at the top of each sleeve and a larger bow tied around her neck. Her hair is styled into two side ponytails, each secured with a ribbon. She wears a small flower clip on the right side of her head and a single earring in her left ear. A musical note is drawn near her head, indicating she might be singing. The background is plain white, with no additional objects or scenery. The overall color palette includes shades of yellow and gray in the dress, with subtle pink blush marks on her cheeks., dynamic angle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!