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@article{169193,
        author = {Shekhar Choudhary and Ramandeep Garewal},
        title = {Animation Video Ai},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {760-765},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169193},
        abstract = {Artificial Intelligence (AI) has brought about a significant transformation in creative fields, particularly in domains such as video creation, animation, and digital art. This review examines advanced diffusion models in AI-driven techniques to create animated videos. More specifically, we investigate combining Node.js with the Replicate API to take advantage of the Deforum diffusion model, which is a robust framework for creating visually captivating animations. The article discusses how these tools make the animation pipeline more efficient by focusing on important steps like model training, frame generation, and scene rendering. Following industry standards for software development, the research assesses performance using criteria like render time, visual quality, model precision, and system effectiveness. By employing cutting-edge AI models and development frameworks, this research sets the stage for easier and scalable production of animated videos.},
        keywords = {Artificial Intelligence, Disease Diagnosis, Alzheimer's, Cancer, Heart Disease, Medical Imaging, Feature Extraction, Classification, PRISMA.},
        month = {November},
        }