The OpenAI text-to-image diffusion model GLIDE efficiently generates photorealistic images from textual descriptions. With one-third of DALL-E’s parameters, GLIDE performs similarly or better. It uses natural language prompts to create or modify visuals, including turning sketches into lifelike images and refining existing images. Human evaluators preferred GLIDE’s output over DALL-E’s 12 billion parameters despite its smaller size of 3.5 billion. It doesn’t need CLIP reordering and samples faster.
User objects: Graphic designers, content creators, artists, marketers, developers, and educators.
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