https://imagen.research.google/

Imagen: Text-to-Image Diffusion Models

🚀 Exciting AI tool alert! Introducing Imagen: Text-to-Image Diffusion Models. 🌟 Transform text into high-fidelity images with photorealism using large transformer language models. 🖼️📚 Achieving top scores without COCO dataset training, Imagen leads the way in image-text alignment! Discover more: https://imagen.research.google/ #AI #TextToImage #Innovation

• Imagen is a text-to-image diffusion model focused on photorealism and deep language understanding.
• It leverages large transformer language models for text comprehension and diffusion models for high-fidelity image generation.
• The key discovery is the effectiveness of large language models pretrained on text-only data for encoding text in image synthesis.
• Imagen achieves a top FID score of 7.27 on COCO dataset without being trained on it.
• It outperforms other text-to-image models in human rater preferences for sample quality and image-text alignment.
• Imagen uses frozen T5-XXL encoder for text embedding and conditional diffusion models for image generation.
• This model showcases the importance of scaling text encoder size over diffusion model size.