metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- the simpsons
- style
- cartoon
- simpsons
- sdxl style lora
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Simpstyle
widget:
- text: 'Rick Sanchez from the TV show "Rick and Morty" Simpstyle '
output:
url: 3920282.jpeg
- text: 'the girl with a pearl earring simpstyle '
output:
url: 3920310.jpeg
- text: >-
A vibrant full body oil painting of She-Ra simpstyle, Very detailed,
clean, high quality, sharp image
output:
url: 3920319.jpeg
- text: 'A socially awkward potato Simpstyle '
output:
url: 3920312.jpeg
- text: 'Rick Sanchez from the TV show "Rick and Morty" Simpstyle '
output:
url: 3920311.jpeg
- text: 'Dr. who and the TARDIS Simpstyle '
output:
url: 3920314.jpeg
- text: 'Cyberman Simpstyle '
output:
url: 3920316.jpeg
- text: 'Wonderwoman Simpstyle '
output:
url: 3920318.jpeg
- text: 'Wonderwoman Simpstyle '
output:
url: 3920317.jpeg
SDXL Simpsons Style
(CivitAI)
Model description
Make everything look like it's on the Simpsons show
Use "simpstyle" in your prompt (I use it as the end of the prompt, before the template wordings start)
This is a newer (and hopefully better) version of Norod78/SDXL-simpstyle-Lora
Trigger words
You should use Simpstyle
to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Norod78/sdxl-simpsons-style', weight_name='SDXL-Simpstyle-Lora-v2-r16.safetensors')
image = pipeline('Wonderwoman Simpstyle ').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers