Imagen
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About
Imagen is a text-to-image diffusion model created by Google Research, Brain Team. It generates photorealistic images from text prompts with a deep level of language understanding. Imagen leverages large transformer language models and cascaded diffusion models to achieve high-fidelity image generation. The key discovery is that large language models pretrained on text-only corpora are effective at encoding text for image synthesis. Scaling the language model boosts both sample fidelity and image-text alignment. Imagen introduces DrawBench, a comprehensive benchmark for text-to-image models. The creators have decided not to release code or a public demo at this time due to ethical challenges.
Platform
Task
Features
• text-to-image generation
• deep language understanding
• drawbench benchmark
• efficient u-net architecture
• text-conditional super-resolution
• cascaded diffusion models
• photorealistic image generation
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