metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - base model
  - dalle2
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
widget:
  - text: ' '
    output:
      url: 16141632.jpeg
  - text: ' '
    output:
      url: 16141740.jpeg
  - text: ' '
    output:
      url: 16141784.jpeg
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    output:
      url: 16141786.jpeg
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    output:
      url: 16141887.jpeg
  - text: ' '
    output:
      url: 16141893.jpeg
  - text: ' '
    output:
      url: 16141785.jpeg
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    output:
      url: 16141877.jpeg
  - text: ' '
    output:
      url: 16141881.jpeg
  - text: ' '
    output:
      url: 16141879.jpeg
  - text: ' '
    output:
      url: 16141883.jpeg
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    output:
      url: 16141942.jpeg
  - text: ' '
    output:
      url: 16141884.jpeg
  - text: ' '
    output:
      url: 16141885.jpeg
  - text: ' '
    output:
      url: 16141889.jpeg
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    output:
      url: 16141890.jpeg
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    output:
      url: 16141891.jpeg
  - text: ' '
    output:
      url: 16141895.jpeg
  - text: ' '
    output:
      url: 16141894.jpeg
  - text: ' '
    output:
      url: 16141920.jpeg

[LuisaP❤️]NOT DALLE2 [27MB]

Model description

SDXL 1.0 BASE ONLY, HIGLY RECOMENDED.

About: Trained on selected dataset of ~~dalle-2~~ images, need the default model to work.

Default model: https://civitai.com/models/101055/sd-xl?modelVersionId=128078

For Foocus, styles can improve your image look, more description is better.

❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
Do and tips: 1 weight for generation / 1.2/1.5 weight for img2img

Keyword: oil painting and fantasy can bring back some esque for different models.

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('multimodalart/luisap-not-dalle2-27mb', weight_name='DARRE2.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