Large Diffusion Model

Large diffusion models are generative AI systems capable of producing high-quality images from various inputs, including text and sketches. Current research focuses on improving efficiency through parameter-efficient fine-tuning techniques and optimizing inference speed for mobile deployment, while also addressing challenges like catastrophic forgetting during continual learning and mitigating privacy risks associated with training data. These advancements are significantly impacting image generation, inpainting, and other computer vision tasks, enabling new applications in diverse fields such as medical image analysis and creative content generation.