MIT scientists, in collaboration with Adobe researchers, have developed a groundbreaking method that significantly accelerates the process of generating high-quality images using artificial intelligence. The new technique, dubbed 'distribution matching distillation,' simplifies the image-generating process to a single step, achieving speeds up to 30 times faster than traditional methods and producing images 28x faster. This innovation is particularly relevant for applications requiring rapid image generation, such as in movie production, where it can produce individual frames much more swiftly. The method also maintains or even enhances the quality of the images produced, comparable to StableDiffusion v1.5, making it a significant advancement in the fields of machine learning and computer vision.
"AI generates high-quality images 30 times faster in a single step: Novel method makes tools like Stable Diffusion and DALL-E-3 faster by simplifying the image-generating process to a single step while maintaining or enhancing image quality." - MIT News https://t.co/7NiRsZZM5D
Adobe & MIT Researchers just pushed this out.... One-step generator that achieves comparable image quality with StableDiffusion v1.5 while being 30x faster. Madness. https://t.co/IO5CkWgYvt
In order for AI to make movies, each individual frameneed to be generated fast. A breakthrough announced by MIT ("distribution matching distillation") is one step toward fast production of images. The research created an image 28x faster than traditional methods. https://t.co/Rm01HbKQwO
Times of India @timesofindia: MIT scientists have just worked out how to make the most popular AI image generators 30 .... #industry40 #ArtificialIntelligence #MachineLearning https://t.co/Pw5pJkz4SC
AI generates high-quality images 30 times faster in a single step #DL #AI #ML #DeepLearning #ArtificialIntelligence #MachineLearning #ComputerVision #AutonomousVehicles #NeuroMorphic #Robotics https://t.co/mCy5VhWbne