metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - character
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
  - text: >-
      silver silk dress, solo, simple background, perfectly round sunglasses,
      upper body, cannyquest, 1girl, standing straight
    output:
      url: 26676267.jpeg
  - text: >-
      upper body, 1girl, cannyquest, standing straight, perfectly round
      sunglasses, silver silk dress, simple background, solo
    output:
      url: 26676266.jpeg
  - text: >-
      perfectly round sunglasses, upper body, standing straight, cannyquest,
      simple background, 1girl, solo, silver silk dress
    output:
      url: 26676268.jpeg

Canny Quest

Prompt
perfectly round sunglasses, upper body, standing straight, cannyquest, simple background, 1girl, solo, silver silk dress

(CivitAI)

Model description

This model was created to be a shortcut to the fictional character Canny Quest from Pixel Perfect Beauties.

Main features:

blonde, silver silk dress, perfectly round sunglasses, pearl necklace

Trigger World:

cannyquest

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

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('marceloxp/canny-quest', weight_name='Canny_Quest-000004.safetensors')
image = pipeline('perfectly round sunglasses, upper body, standing straight, cannyquest, simple background, 1girl, solo, silver silk dress').images[0]

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