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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- woman
- actor
- celebrity
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: gwyneth
widget:
- text: ' a beautiful woman, blonde, blue eyes, pale skin, freckles, green turtle neck sweater, black background'
output:
url: >-
32423018.jpeg
- text: ' a beautiful woman, blonde, blue eyes, pale skin, freckles, winter coat, alps, happy, dogs, tall trees, blue light, evening'
output:
url: >-
32423245.jpeg
- text: ' a beautiful woman, blonde, blue eyes, pale skin, freckles, bus, seated, window, fear, movie scene,'
output:
url: >-
32423421.jpeg
- text: ' a beautiful woman, blonde, blue eyes, pale skin, freckles, bus, seated, window, fear, movie scene,'
output:
url: >-
32423435.jpeg
- text: ' a beautiful woman, blonde, blue eyes, reading a book, coffee shop, peaceful,'
output:
url: >-
32423555.jpeg
---
# gwyneth paltrow
<Gallery />
## Model description
<p>Gwyneth Kate Paltrow (/ˈpæltroʊ/ PAL-troh; born September 27, 1972) is an American actress and businesswoman.</p>
## Trigger words
You should use `gwyneth` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Keltezaa/gwyneth-paltrow/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/gwyneth-paltrow', weight_name='gwyneth_paltrow_dev_f1.safetensors')
image = pipeline(' a beautiful woman, blonde, blue eyes, reading a book, coffee shop, peaceful,').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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