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Keltezaa
/
kristen-bell

Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
woman
actor
celebrity
Model card Files Community
kristen-bell
File size: 2,041 Bytes 
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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: kristen
widget:
- text: ' '
  
  output:
    url: >-
      50568466.jpeg
- text: ' '
  
  output:
    url: >-
      50568509.jpeg
- text: ' '
  
  output:
    url: >-
      50568521.jpeg
- text: ' '
  
  output:
    url: >-
      50568561.jpeg
- text: ' '
  
  output:
    url: >-
      50568661.jpeg
- text: ' '
  
  output:
    url: >-
      50568692.jpeg
- text: ' '
  
  output:
    url: >-
      50568716.jpeg
- text: ' '
  
  output:
    url: >-
      50568740.jpeg
- text: ' '
  
  output:
    url: >-
      50568807.jpeg

---

# kristen bell 

<Gallery />



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

## Model description

<p>Kristen Anne Bell (born July 18, 1980) is an American actress.</p><p></p><p></p><p></p><p></p>

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

## Download model

Weights for this model are available in Safetensors format.

[Download](/Keltezaa/kristen-bell/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/kristen-bell', weight_name='kristen_bell_dev_f1_k.safetensors')
image = pipeline('`kristen`').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)