The Cellular Deepfake Engine is a generative AI framework designed to create realistic biomedical images while preserving patient privacy. Utilizing a dual-GAN architecture with advanced data curation, it produces high-fidelity images of blood cells, nuclei, and cancerous cells. Synthetic datasets generated by the system enhance classifier training, mitigate class imbalance, and generalize effectively to real-world data, supporting reproducible, scalable, and data-efficient AI studies in sensitive biomedical domains.