metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- style
- split
- split style
- splitstyle
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: splitstyle
widget:
- text: ' '
output:
url: 23409234.jpeg
- text: ' '
output:
url: 23410932.jpeg
- text: ' '
output:
url: 23409233.jpeg
4art style
Model description
First attempt at creating a LoRa that recruits for different traditional art styles. Trained on close-up portraits. Might take a bit more tinkering as it tends to just have two panels instead of four. anyway while i work out the bugs enjoy
Trigger words
You should use splitstyle
, evang
, split_style
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('brushpenbob/4art-style', weight_name='4art_style.safetensors')
image = pipeline('`splitstyle`, `evang`, `split_style`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers