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
- model
- woman
- actress
- celebrity
- flux
- n1nad0brev

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: ninadobrev
widget:
- text: ' '
  
  output:
    url: >-
      53482185.jpeg
- text: ' '
  
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- text: ' '
  
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    url: >-
      53482186.jpeg
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- text: ' '
  
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  output:
    url: >-
      53482189.jpeg

---

# Nina Dobrev Flux.1D  (The Vampire Diaries) 

<Gallery />





## Model description

<p>A Flux.1D Lora of Nina Dobrev to Create Images in her likeness </p>

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

## Download model

Weights for this model are available in Safetensors format.

[Download](/Keltezaa/nina-dobrev-flux-1d-the-vampire-diaries/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/nina-dobrev-flux-1d-the-vampire-diaries', weight_name='ninadobrev.safetensors')
image = pipeline('`ninadobrev`').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)