README.md

---
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: alicia
widget:
- text: 'a beautiful woman,  brown eyes, dark hair, side view, wearing street wear, side walk, newyork  '
  
  output:
    url: >-
      31918929.jpeg
- text: 'a beautiful woman,  brown eyes, dark hair, wearing street wear, side walk, newyork  '
  
  output:
    url: >-
      31918923.jpeg
- text: 'a beautiful woman,  brown eyes, dark hair,  sweater, jeans, loafers  '
  
  output:
    url: >-
      31918935.jpeg
- text: 'a beautiful woman,  brown eyes, dark hair,   gritty photo,  standing, ally, hoodie  '
  
  output:
    url: >-
      31918921.jpeg
- text: 'a beautiful woman, brown eyes, dark hair, looking out the window seated on a bus  '
  
  output:
    url: >-
      31918932.jpeg
- text: 'a beautiful woman, brown eyes, coffee shop, hoodie, yoga pants,  '
  
  output:
    url: >-
      31918930.jpeg
- text: 'a beautiful woman, brown eyes, dark hair, leather body suit  '
  
  output:
    url: >-
      31918933.jpeg
- text: 'a beautiful woman, brown eyes, dark hair,  head shot  '
  
  output:
    url: >-
      31918938.jpeg

---

# Alicia Vikander 

<Gallery />





## Model description

<p>Alicia Amanda Vikander (/vɪˈkændər/; Swedish: [aˈlǐːsɪa vɪˈkǎnːdɛr] ; born 3 October 1988) is a Swedish actress.</p>

## Trigger words
You should use `alicia` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/Keltezaa/alicia-vikander/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/alicia-vikander', weight_name='alicia_vikander_dev_f1.safetensors')
image = pipeline('a beautiful woman, brown eyes, dark hair,  head shot  ').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)