Imagen: Google’s Next-Gen AI for Text-to-Image Generation

The pace of progress in AI recently has been simply mind-boggling. Case in point: Google’s new Imagen AI system that can create highly realistic images just from text prompts. Built by Google Research, Imagen represents a massive leap ahead for text-to-image generation.

How Imagen Works

Imagen is based on a machine learning technique called diffusion models. Diffusion models are trained to gradually transform random noise into a detailed image, almost like developing a photo in a darkroom.

Imagen takes advantage of Google’s immense computing resources. It was trained on huge datasets of image-text pairs, learning the relationships between textual descriptions and visual concepts.

After training, Imagen takes a text prompt and predicts how to translate it into a step-by-step photorealistic image. The longer Imagen runs its diffusion process, the more intricate the generated image becomes.