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
- photorealistic
- woman
- celebrity
- girls
- realistic

base_model: black-forest-labs/FLUX.1-dev
instance_prompt: 
widget:
- text: 'portrait of a female in a dark cyberpunk vibe'
  
  output:
    url: >-
      31288327.jpeg
- text: 'portrait of a women in a fantasy world'
  
  output:
    url: >-
      31288323.jpeg
- text: ' '
  
  output:
    url: >-
      31288324.jpeg
- text: 'portrait of a female in a dark cyberpunk vibe'
  
  output:
    url: >-
      31288328.jpeg
- text: 'portrait of a female in a dark cyberpunk vibe'
  
  output:
    url: >-
      31288334.jpeg

---

# FLUX - Miley Cyrus 

<Gallery />



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

## Model description

<h3 id="flux-+-pony-lora-for-miley-cyrus"><strong><span style="color:rgb(34, 139, 230)">FLUX + Pony LoRA for</span><span style="color:rgb(64, 192, 87)"> </span>


## Download model

Weights for this model are available in Safetensors format.

[Download](/Keltezaa/flux-miley-cyrus/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/flux-miley-cyrus', weight_name='Flux.Miley.safetensors')
image = pipeline('portrait of a female in a dark cyberpunk vibe').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)