# Mukh-Oboyob
Adapted from official Github repository: <a href="https://github.com/Codernob/Mukh-Oboyob">https://github.com/Codernob/Mukh-Oboyob</a>
* **Huggingface spaces**: https://huggingface.co/spaces/gr33nr1ng3r/Mukh-Oboyob

## Usage
```py
from diffusers import DiffusionPipeline
device="cuda"
pipeline = DiffusionPipeline.from_pretrained(
    "CompVis/stable-diffusion-v1-4",
   
     custom_pipeline="gr33nr1ng3r/Mukh-Oboyob"
)
pipeline.unet.load_attn_procs("gr33nr1ng3r/Mukh-Oboyob")
pipeline.to(device)
prompt = "মেয়েটির কালো চুল ছিল। মেয়েটির মুখে ভারী মেকাপ ছিল। মেয়েটির উঁচু গালের হাড় ছিল। মেয়েটির মুখ কিছুটা খোলা ছিল। মেয়েটির চেহারা ডিম্বাকৃতির। মেয়েটির চোখা নাক ছিল। মেয়েটির ঢেউ খেলানো চুল ছিল। মেয়েটির কানে দুল পরা ছিল। মেয়েটির লিপস্টিক পরা ছিল। "
image = pipeline(prompt, num_inference_steps=200, guidance_scale=7.5,height=128,width=128).images[0]
image
```
<Gallery />


## Download model

Weights for this model are available in PyTorch format.

[Download](/gr33nr1ng3r/Mukh-Oboyob/tree/main) them in the Files & versions tab.


## Citation
If you use any of the models or code,please cite the following [paper](https://thesai.org/Downloads/Volume14No11/Paper_142-Mukh_Oboyob_Stable_Diffusion_and_BanglaBERT.pdf):

```
@article{Saha2023,
title = {Mukh-Oboyob: Stable Diffusion and BanglaBERT enhanced Bangla Text-to-Face Synthesis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.01411142},
url = {http://dx.doi.org/10.14569/IJACSA.2023.01411142},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {11},
author = {Aloke Kumar Saha and Noor Mairukh Khan Arnob and Nakiba Nuren Rahman and Maria Haque and Shah Murtaza Rashid Al Masud and Rashik Rahman}
}
```

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diffusers text-to-image stable-diffusion lora bn base_model:CompVis/stable-diffusion-v1-4 has_space diffusers:MukhOboyobPipeline region:us