This paper presents an innovative approach to packaging design that combines generative artificial intelligence with specific resourceful techniques. It transforms user input into detailed dielines and mock-ups using text-to-image models and advanced algorithms; further on, using triplane representation, converts them into 3D models for more expressed visual representation. Techniques and models have been developed using a Stable Diffusion–based text-to-image generation approach to ensure high-quality design outputs. Our system’s generative outputs were evaluated on a 2,000-image dataset: they achieved an average NIQE score of 12 (indicating strong visual fidelity), a CLIPScore of 87 (demonstrating high alignment with prompts), and a CLIP-IQA score of 0.84 (reflecting perceived realism). The system further encompasses sustainability advice by analyzing inputs and providing advise on green materials such as biodegradable plastics, recycled paperboard, as well as compostable cellulose among others. The article elaborates on the particular complications in the system, its significance within the packaging industry as well as its role towards quality design and sustainability.