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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- photorealistic
- sexy
- woman
- celebrity
- girls
- realistic
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: sammiedanielsflux
widget:
- text: 'photo of sammiedanielsflux, blonde, Cardigan at Library, '
output:
url: >-
35070168.jpeg
- text: 'photo of sammiedanielsflux, blonde, Wetsuit Top at Scuba Diving Trip, '
output:
url: >-
35070184.jpeg
- text: 'photo of sammiedanielsflux, blonde, Camouflage Jacket at Paintball Field, '
output:
url: >-
35070174.jpeg
- text: 'photo of sammiedanielsflux, blonde, Blouse at Office, '
output:
url: >-
35070164.jpeg
- text: 'photo of sammiedanielsflux, blonde, Vest at Outdoor Camping, '
output:
url: >-
35070169.jpeg
- text: 'photo of sammiedanielsflux, blonde, Long-Sleeve Shirt at Casual Shopping, '
output:
url: >-
35070165.jpeg
- text: 'photo of sammiedanielsflux, blonde, Tracksuit Top at Track and Field Event, '
output:
url: >-
35070181.jpeg
- text: 'photo of sammiedanielsflux, blonde, Henley Shirt at Sports Event, '
output:
url: >-
35070167.jpeg
- text: 'photo of sammiedanielsflux, blonde, portrait, '
output:
url: >-
35070166.jpeg
- text: 'photo of sammiedanielsflux, blonde, Knit Vest at Tea Room, '
output:
url: >-
35070172.jpeg
- text: 'photo of sammiedanielsflux, blonde, Poncho at Autumn Flea Market, '
output:
url: >-
35070171.jpeg
- text: 'photo of sammiedanielsflux, blonde, Zip-Up Hoodie at Movie Night, '
output:
url: >-
35070173.jpeg
- text: 'photo of sammiedanielsflux, blonde, Ugly Christmas Sweater at Company Christmas Party, '
output:
url: >-
35070175.jpeg
- text: 'photo of sammiedanielsflux, blonde, College Jersey at College Football Game, '
output:
url: >-
35070176.jpeg
- text: 'photo of sammiedanielsflux, blonde, Vintage T-Shirt at Flea Market Browsing, '
output:
url: >-
35070177.jpeg
- text: 'photo of sammiedanielsflux, blonde, Beer Festival T-Shirt at Beer Festival, '
output:
url: >-
35070178.jpeg
- text: 'photo of sammiedanielsflux, blonde, Scrubs Top at Hospital Shift, '
output:
url: >-
35070179.jpeg
- text: 'photo of sammiedanielsflux, blonde, Running Shirt at Jogging in the Park, '
output:
url: >-
35070180.jpeg
- text: 'photo of sammiedanielsflux, blonde, Chef''s Coat at Cooking Class, '
output:
url: >-
35070187.jpeg
---
# Sammie Daniels
<Gallery />
## Model description
<h1 id="lora-request-greater-here-69sx9waz6"><span style="color:rgb(250, 82, 82)">LoRa</span> request? ---> <a target="_blank" rel="ugc" href="https://civitai.com/user/Peli86">HERE</a></h1><p></p><p><strong>Sammie Daniels</strong></p><p></p><p><strong>Birthday </strong>26 October, 1993</p><p><strong>Birthplace </strong>Bardstown, Kentucky, USA</p><p><strong>Height </strong>4' 11" (150 cm)</p><p><strong>Eye Color </strong>Blue</p><p><strong>Hair Color </strong>Blonde</p><p><strong>Zodiac Sign </strong>Scorpio</p><p><strong>Nationality </strong>American</p><p><strong>Occupation </strong>Pornstar</p>
## Trigger words
You should use `sammiedanielsflux` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Keltezaa/sammie-daniels/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/sammie-daniels', weight_name='sammiedanielsflux.safetensors')
image = pipeline('photo of sammiedanielsflux, blonde, Chef's Coat at Cooking Class, ').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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