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
  - style
  - laundry
  - cloth
  - laundry art
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: LaundryArt
widget:
  - text: 'Wonderwoman LaundryArt '
    output:
      url: 5594409.jpeg
  - text: 'Rick Sanchez LaundryArt '
    output:
      url: 5594414.jpeg
  - text: 'A crazy clown LaundryArt '
    output:
      url: 5594407.jpeg
  - text: 'Pikachu LaundryArt '
    output:
      url: 5594410.jpeg
  - text: 'A cute dog LaundryArt '
    output:
      url: 5594408.jpeg
  - text: 'Shrek and Olaf on a frozen field LaundryArt '
    output:
      url: 5594413.jpeg
  - text: 'Snoop Dogg LaundryArt '
    output:
      url: 5594405.jpeg
  - text: 'A socially awkward potato LaundryArt '
    output:
      url: 5594412.jpeg
  - text: 'American gothic LaundryArt '
    output:
      url: 5594406.jpeg

LaundryArt LoRA

Prompt
Shrek and Olaf on a frozen field LaundryArt

Prompt
A socially awkward potato LaundryArt

(CivitAI)

Model description

LaundryArt is, well, a sort of art people make by arranging their Laundry in a certain way and adding some objects into the mix

Trigger words

You should use LaundryArt 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/laundryart-lora', weight_name='LaundryArt_LoRA_r16-000006.safetensors')
image = pipeline('American gothic LaundryArt ').images[0]

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