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
  - side view
  - profile view
  - the protoart
  - protoart
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
widget:
  - text: ' '
    output:
      url: 19108819.jpeg
  - text: ' '
    output:
      url: 19108668.jpeg
  - text: ' '
    output:
      url: 19108665.jpeg

SIDE XL

Model description

What's up everybody! so this is an updated version of my side profile view model it's main goal is the truth side images of characters. I have to emphasize this because it seem to be confusion from the 1.5 model. My goal for this model is for those interested in learning to draw traditionally, or with digital art, and starting off with side profile views was easiest for me.. so I wanted to make a model to replicate a similar look. Trained on traditional hand drawn illustrations using Copic and ohuhu markers, so it tries to replicate that look.

I have not tested this on creating other things such as vehicles or environments because again I have to emphasize it's meant to create side profile views of people enjoy, and I look forward to seeing the progress in your art journey

If you would like to try and compare to the previous models, they are linked below

1st version ( and long ago in the time before pickletensors, or LoRa's there was checkpoints... lol has 3 options to test each with slight differences in the training data)

https://civitai.com/models/84286/ac-side?modelVersionId=225962

2nd version (update LoRa, per request ,combining the data sets from the first and a handful of new images)

https://civitai.com/models/313598/side-2024?modelVersionId=351853

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/side-xl', weight_name='SIDE_XL.safetensors')
image = pipeline('Your custom prompt').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers