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
- woman
- celeb
- celebrity
- celebrity girl

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: 
widget:
- text: ' '
  
  output:
    url: >-
      27593039.jpeg
- text: ' '
  
  output:
    url: >-
      27592905.jpeg
- text: ' '
  
  output:
    url: >-
      27592945.jpeg
- text: ' '
  
  output:
    url: >-
      27593035.jpeg
- text: ' '
  
  output:
    url: >-
      27593037.jpeg
- text: ' '
  
  output:
    url: >-
      27593038.jpeg
- text: ' '
  
  output:
    url: >-
      27593040.jpeg
- text: ' '
  
  output:
    url: >-
      27593069.jpeg
- text: ' '
  
  output:
    url: >-
      27593074.jpeg

---

# Katie Holmes 90's 

<Gallery />





## Model description

<p>Katie Holmes. Circa 1998. </p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/Keltezaa/katie-holmes-90-s/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/katie-holmes-90-s', weight_name='Katie_Holmes_90s.safetensors')
image = pipeline('Your custom prompt').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)