---
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
language:
- en
tags:
- flux
- diffusers
- lora
- replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: hijab,muslim
widget:
- text: beautiful egyptian muslim in hijab
  output:
    url: images/example_49o3kxfj6.png
- text: beautiful egyptian muslim
  output:
    url: images/example_85ii6ei9q.png
- text: beautiful egyptian muslim big boobs
  output:
    url: images/example_tjurcsd7g.png
- text: hijab pussy mylfs_isabel_love_009
  output:
    url: images/example_u5dp072nr.png
- text: hijab desilva boobs pussy
  output:
    url: images/example_kyk3wo0ey.png
- text: hijab pussy mylfs_isabel_love
  output:
    url: images/example_ysxfzjd1y.png
- text: sexy hijab pussy fuck
  output:
    url: images/example_2gwr52wd6.png
- text: >-
    Muslim girl Hansika Motwani wearing hijab showing her sexy big boobs very
    hot fuck by man
  output:
    url: images/example_2pi8ne2p8.png

---

# Hijabgirls

<Gallery />

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train


## Trigger words
You should use `hijab,muslim` to trigger the image generation.


## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('Tjay143/HijabGirls', weight_name='lora.safetensors')
image = pipeline('your 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)