---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
base_model: black-forest-labs/FLUX.1-dev
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
widget:
- text: hijab fuck
  output:
    url: images/example_zsn4v77hi.png
- text: '[hijab,muslim,arab sexy beautiful girls womens]egyptian hijab'
  output:
    url: images/example_1ml2zeded.png
- text: '[hijab,muslim,arab sexy beautiful girls womens]hijab busty pussy fucked'
  output:
    url: images/example_7g8s2lu3n.png
- text: gorgeous hijab muslim
  output:
    url: images/example_q6tndwvh7.png
- text: Hijab wearing Hansika motwani sexy in hijab
  output:
    url: images/example_mdf2p7rw2.png
- text: Muslim Hansika Motwani big boobs hot kissing and pussy fucked my man
  output:
    url: images/example_w9sczktsw.png

---

# my_first_flux_lora_v1
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

No trigger words defined.

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/Tjay143/Hijab2/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

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Tjay143/Hijab2', weight_name='my_first_flux_lora_v1.safetensors')
image = pipeline('None').images[0]
image.save("my_image.png")
```

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)