Abstract: Generative artificial intelligence (AI) presents new opportunities for enhancing blended and hybrid learning through adaptive and visually rich instructional materials. This study proposes a concise pedagogical framework for integrating AIgenerated visuals, produced using text-to-image tools such as Adobe Firefly and NanoBanana, into hybrid classroom instruction. By enabling rapid creation of customized visual content aligned with lesson objectives, these tools support diverse learning styles and conceptual understanding. A mixed-methods approach was employed, combining pre-test and post-test assessments, learning management system (LMS) engagement analytics, and qualitative feedback from students and faculty. Results indicate measurable improvements in student comprehension, time-on-task, and interaction rates when AI-generated visuals were incorporated into blended learning modules. Ethical considerations, including content accuracy, bias, and faculty readiness, were also examined. The study contributes a practical and scalable model for the responsible integration of AI-generated visuals into technologyenhanced learning environments.