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---
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:
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
<Gallery />
([CivitAI](https://civitai.com/models/))
## Model description
<p>This model was created to be a shortcut to the fictional character Canny Quest from Pixel Perfect Beauties.</p><p></p><h3 id="main-features:-85q886wpe"><strong>Main features:</strong></h3><p>blonde, silver silk dress, perfectly round sunglasses, pearl necklace</p><h3 id="trigger-world:-pu1hzmynk"><strong>Trigger World:</strong></h3><p>cannyquest</p>
## Download model
Weights for this model are available in Safetensors format.
[Download](/marceloxp/canny-quest/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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