Instructions to use gz8iz/Lisa_Paus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gz8iz/Lisa_Paus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gz8iz/Lisa_Paus") prompt = "lpa bre in front of a green background, highly intricate, futuristic, elegant, extremely shiny, built, royal, handsome, romantic, magical, surreal, dramatic light, sharp focus, illuminated glowing, incredible detail, cinematic, vibrant colors, perfect composition, aesthetic, very inspirational, iconic, fine, winning, dynamic, fantastic, epic, artistic, awesome, ambient color" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Lisa Paus

- Prompt
- lpa bre in front of a green background, highly intricate, futuristic, elegant, extremely shiny, built, royal, handsome, romantic, magical, surreal, dramatic light, sharp focus, illuminated glowing, incredible detail, cinematic, vibrant colors, perfect composition, aesthetic, very inspirational, iconic, fine, winning, dynamic, fantastic, epic, artistic, awesome, ambient color
- Negative Prompt
- unrealistic, saturated, high contrast, big nose, painting, drawing, sketch, cartoon, anime, manga, render, CG, 3d, watermark, signature, label
Model description
just a LORA of Lisa Paus
Trigger words
You should use lpa to trigger the image generation.
You should use bre to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for gz8iz/Lisa_Paus
Base model
stabilityai/stable-diffusion-xl-base-1.0