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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=1&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- celebrity
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Katie Fey
widget:
- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: ' '
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- text: ' '
output:
url: >-
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- text: ' '
output:
url: >-
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- text: 'Beautiful woman, beautiful detailed photograph, true to life, hair cascading over her shoulders, wearing a boatneck dress, standing in a cafe'
output:
url: >-
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- text: ' '
output:
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---
# Katie Fey, Jenya D, Eugenia Diordiychuk
<Gallery />
## Model description
<p>Gorgeous adult model that roamed the internet in the 2000s.</p><p>Please react and post your pictures using the model to support me so I can generate additional models in the future. Thank you!</p>
## Trigger words
You should use `Katie Fey` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Keltezaa/katie-fey-jenya-d-eugenia-diordiychuk/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('Keltezaa/katie-fey-jenya-d-eugenia-diordiychuk', weight_name='Katie_Fey.safetensors')
image = pipeline('`Katie Fey`').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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