Google Introduces Muse: AI-Generated Images Redefined

This year has been a great one for Generative AI with models such as DALL-E 2, Stable Diffusion, Imagen, and Parti being released.

To keep up with the momentum, Google recently introduced Muse, its latest text-to-image model. Muse is a deep neural network which takes a text prompt as an input and generates an image based off of it. The model is more efficient and accurate than its predecessors due to its use of token-based image generation, pretrained language models, and the idea of cascading models.

By using these techniques, Muse is able to generate high-quality images with good efficiency and accuracy. Muse also has the ability to perform editing tasks without fine-tuning, such as inpainting, outpainting, and mask-free editing. Although Google has not yet released Muse to the public, the results published by the research team show that Muse matches or outperforms other state-of-the-art models on CLIP and FID scores.

(Source: https://venturebeat.com/2023/01/12/the-enemies-of-sustainable-ai-concept-drift-data-drift-and-algorithm-drift/) #GenerativeAI #DALL-E2 #StableDiffusion #Imagen #Parti #GoogleMuse #TextToImage #TokenBasedImageGeneration #PretrainedLanguageModels #CascadingModels #HighQualityImages #Inpainting #Outpainting #MaskFreeEditing #CLIP #FID #StateOfTheArtModels