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
  - cartoon
  - childrens books
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: evang
widget:
  - text: ' '
    output:
      url: 23152779.jpeg
  - text: ' '
    output:
      url: 23152784.jpeg
  - text: ' '
    output:
      url: 23157380.jpeg
  - text: ' '
    output:
      url: 23153577.jpeg
  - text: ' '
    output:
      url: 23153575.jpeg
  - text: ' '
    output:
      url: 23801592.jpeg
  - text: ' '
    output:
      url: 23802736.jpeg
  - text: ' '
    output:
      url: 23150633.jpeg
  - text: ' '
    output:
      url: 23150631.jpeg
  - text: ' '
    output:
      url: 23150636.jpeg

children's story book

Model description

data set built of images from a midjourney of children's book illustrations

Trigger words

You should use evang 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/children-s-story-book', weight_name='childrens_story_book.safetensors')
image = pipeline('`evang`').images[0]

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