**Create a collage of images illustrating the process of generative AI as probability distribution prediction. The collage should include: A set of diverse input images representing the training data, showcasing various categories such as animals, landscapes, and objects. A visual representation of the AI model learning the probability distribution of the input data, including a graph or diagram showing the relationships between different data points. A series of newly generated images that resemble the original input data, demonstrating the AI model's ability to sample from the learned probability distribution. A side-by-side comparison of original and generated images, highlighting the similarities and differences, to showcase the AI model's understanding of the underlying data structure and its ability to create realistic outputs. The overall collage should convey the concept of generative AI models as powerful tools for predicting probability distributions and generating new, diverse, and realistic images based on learned patterns.** - Upscaled by <@926894599342030909> (fast)
Create a collage of images illustrating the process of generative AI as probability distribution prediction. The collage should include A set of diverse input images representing the training data, showcasing various categories such as animals, landscapes, and objects. A visual representation of the AI model learning the probability distribution of the input data, including a graph or diagram showing the relationships between different data points. A series of newly generated images that resemble the original input data, demonstrating the AI models ability to sample from the learned probability distribution. A sidebyside comparison of original and generated images, highlighting the similarities and differences, to showcase the AI models understanding of the underlying data structure and its ability to create realistic outputs. The overall collage should convey the concept of generative AI models as powerful tools for predicting probability distributions and generating new, diverse, and realistic images based on learned patterns.