---
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)