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@article{180636,
        author = {Syed Rehan and Ramesh Kumar C and Mohd Fahad and Mohd Abrar},
        title = {TEXT TO IMAGE GENERATOR USING PYTHON},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1848-1853},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180636},
        abstract = {This project presents the design and development of a fully offline-capable Text-to-Image Generator that utilizes advanced generative AI techniques. By integrating Stable Diffusion XL (SDXL), Gradio, Python, and Docker, this system enables users to convert natural language prompts into high-quality images without relying on internet connectivity. This solution addresses key limitations of existing cloud-based tools such as privacy concerns, dependency on online infrastructure, and recurring costs. The system supports multiple image generation styles (realistic and anime), image download options, history tracking, and performance metrics. It serves as an efficient and scalable tool for educational, creative, and secure environments where offline usage is essential.},
        keywords = {Offline AI, Stable Diffusion XL, Text-to-Image, Gradio, Image Generation, Generative AI, Docker, Safetensors},
        month = {June},
        }