---
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: tamannaah,bhatia,muslim,hijab
widget:
- text: muslim tamannaah bhatia big boobs nude erotic sexy intimate
  output:
    url: images/example_xu9oshghk.png
- text: Tamannaah bhatia sexy breast
  output:
    url: images/example_z4zihl9e8.png
- text: nude tamannaah bhatia nude boobs pussy
  output:
    url: images/example_3md8elif0.png
- text: nude tamannaah bhatia nude big boobs,pussy very sexy
  output:
    url: images/example_alncwas61.png
- text: Completely nude boobs pussy
  output:
    url: images/example_31tmn7y9j.png
- text: Completely nude pussy
  output:
    url: images/example_7j8liq5fq.png
- text: Tamannaah bhatia very cute
  output:
    url: images/example_fqi7p3ott.png
- text: Tamannaah bhatia very cute boobs
  output:
    url: images/example_tfa7bw0uh.png

---

# Hijabgirls

<Gallery />

Trained on Replicate using:

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


## Trigger words
You should use `tamannaah,bhatia,muslim,hijab` 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)