README.md

---
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
- photorealistic
- sexy
- woman
- actress
- celebrity
- girls
- realistic

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: 
widget:
- text: '  beautiful detailed photograph, dark brunette hair loose wavy cascading over her shoulders, wearing an elegant dress, standing in cafe looking at the viewer, smiling'
  
  output:
    url: >-
      34729632.jpeg
- text: '  beautiful detailed photograph, dark brunette hair cascading over her shoulders, wearing an elegant dress, standing in cafe looking at the viewer, smiling'
  
  output:
    url: >-
      34729631.jpeg
- text: '  beautiful detailed photograph, dark brunette hair loose wavy cascading over her shoulders, wearing an elegant dress, standing in cafe looking at the viewer, smiling'
  
  output:
    url: >-
      34729629.jpeg
- text: '  beautiful detailed photograph, dark brunette hair cascading over her shoulders, wearing an elegant dress, standing in cafe looking at the viewer, smiling'
  
  output:
    url: >-
      34729630.jpeg
- text: '  beautiful detailed photograph, dark brunette hair loose wavy cascading over her shoulders, dressed as wonder woman, tiara, cuffs. standing in cafe looking at the viewer, smiling'
  
  output:
    url: >-
      34729532.jpeg
- text: '  beautiful detailed photograph, dark brunette hair loose wavy cascading over her shoulders, dressed as wonder woman, tiara, cuffs. standing in cafe looking at the viewer, smiling'
  
  output:
    url: >-
      34729549.jpeg

---

# Gal Gadot (Flux) 

<Gallery />



([CivitAI](https://civitai.com/models/))

## Model description

<p>Gal Gadot - Trained for Flux</p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/Keltezaa/gal-gadot-flux/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/gal-gadot-flux', weight_name='Gal_Gadot_Flux.safetensors')
image = pipeline('  beautiful detailed photograph, dark brunette hair loose wavy cascading over her shoulders, dressed as wonder woman, tiara, cuffs. standing in cafe looking at the viewer, smiling').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)