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Imagen 3 generates visually rich, high-quality images, with good lighting and composition. It can accurately render small details like the fine wrinkles on a person’s hand, and complex textures like a knitted stuffed toy elephant.
Imagen is an AI system that creates photorealistic images from input text. Visualization of Imagen. Imagen uses a large frozen T5-XXL encoder to encode the input text into embeddings. A conditional diffusion model maps the text embedding into a 64×64 image.
Generate images in a wide range of formats and styles, from photorealistic landscapes to richly textured oil paintings or whimsical claymation scenes. Render text more effectively than previous models, opening up new possibilities for use cases like stylized birthday cards, presentations, and more.
Generate images from text descriptions in seconds using Google Cloud AI-powered image generation with available APIs in Python, Java, and Go programming languages. New customers get up to $300...
Imagen 2’s powerful text-to-image technology is available in Gemini, Search Generative Experience and a Google Labs experiment called ImageFX. This offers an innovative interface that allows users to quickly explore alternative prompts and expand the bounds of their creativity.
Is Google's AI image generator free? Yes, ImageFX is free, as is Gemini's (formerly Bard's) image generation capability. All you need to do to use Google's AI image generator is...
ImageFX is a new tool in Labs that lets people create images with simple text prompts. Our early experiments in Labs highlighted how important creative exploration is to new users of generative AI tools.
Generate novel images using only a text prompt (text-to-image AI generation). Edit an entire uploaded or generated image with a text prompt. Edit only parts of an uploaded or...
Google has released an updated version of its AI image generator to everyone in the U.S. via the company's AI Test Kitchen service.
This update delivers our highest-quality images yet, as well as improvements in areas that text-to-image systems often struggle with, such as rendering realistic hands and human faces and keeping images free of distracting visual artifacts.