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README.md

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> **Note:**
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> This code is built to support the results of the research paper titled "Text-to-Image Generation using Transformers in GANs" presented at ICASSCT-2024, winning the Best Paper Award.
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> [Conference Presentation](https://www.researchgate.net/publication/382142568_ICASSCT-24)
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## Architecture for Text-to-Image generation
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<img src="https://github.com/codedmachine111/Image_generation_using_transformers_in_GANs/assets/88738817/8b504397-e04b-47d9-8826-a2f35f2d140c" width="900px">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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## Installation steps
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1. - Fork the [repo](https://github.com/codedmachine111/Image_generation_using_transformers_in_GANs)
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- Clone the repo to your local machine `git clone https://github.com/codedmachine111/Image_generation_using_transformers_in_GANs.git`
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- Change current directory `cd Image_generation_using_transformers_in_GANs`
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2. Install latest version of [Python](https://www.python.org/) and create a virtual environment:
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```bash
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python -m venv venv
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./venv/Scripts/activate
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```
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3. Install all dependencies:
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```bash
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pip install -r requirements.txt
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```
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4. Train the model and see the output images in the '/output' dir
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```bash
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python main.py
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```

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