Persian-to-Image Text-to-Image Pipeline

Model Overview

This model pipeline is designed to generate images from Persian text descriptions by translating the Persian text into English and then using a fine-tuned Stable Diffusion model to generate the corresponding image. The pipeline combines two models: a translation model (mohammad-shirkhani/finetune_persian_to_english_mt5_base_summarize_on_celeba_hq) and an image generation model (ebrahim-k/Stable-Diffusion-1_5-FT-celeba_HQ_en).

Model Details

Translation Model

Model Name: mohammad-shirkhani/finetune_persian_to_english_mt5_base_summarize_on_celeba_hq
Architecture: mT5
Purpose: This model is used to translate Persian text into English. It has been fine-tuned specifically on the CelebA-HQ dataset for summarization tasks, making it well-suited for translating descriptions of facial features.

Image Generation Model

Model Name: ebrahim-k/Stable-Diffusion-1_5-FT-celeba_HQ_en
Architecture: Stable Diffusion 1.5
Purpose: This model generates high-quality images from the English text produced by the translation model. It has been fine-tuned on the CelebA-HQ dataset, making it particularly effective for generating realistic human faces based on text descriptions.

Pipeline Description

The pipeline works as follows:

Text Translation: The Persian input text is translated into English using the mT5-based translation model.
Image Generation: The translated English text is then fed into the Stable Diffusion model to generate the corresponding image.

Example Usage

from IPython.display import display

# Persian text describing a person
persian_text = "این زن دارای موهای موج دار ، لب های بزرگ و موهای قهوه ای است و رژ لب دارد.این زن موهای موج دار و لب های بزرگ دارد و رژ لب دارد.فرد جذاب است و موهای موج دار ، چشم های باریک و موهای قهوه ای دارد."

# Generate and display the image
image = persian_to_image_model(persian_text)
display(image)

# Another example
persian_text2 = "این مرد جذاب دارای موهای قهوه ای ، سوزش های جانبی ، دهان کمی باز و کیسه های زیر چشم است.این فرد جذاب دارای کیسه های زیر چشم ، سوزش های جانبی و دهان کمی باز است."
image2 = persian_to_image_model(persian_text2)
display(image2)