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Understanding Image Generation Models
Image generation models pull images based on extensive training on words and their associations to generate images in latent space. Combining this with prediction technology helps in creating realistic effects like lighting and water. While it can understand and replicate real-world concepts, it is primarily predicting the next pixel and not suitable for complex physical modeling like airflow over an aircraft wing.