8/ In summary, "Maintaining Localized Image Variations" presents a significant breakthrough in text-to-image models. It pushes the envelope on image generation, providing a robust, more flexible tool for a variety of tech applications.
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https://t.co/kOiGJWHTxg
Have you ever wanted to change just a part of an image without changing the rest of the scene? A new paper, "Maintaining Localized Image Variations", makes this possible.
Here's what you need to know 🧵
7/ Practical applications of this technology could range from designers wanting to experiment with different concepts while keeping some elements constant, to augmented reality applications that require dynamic alterations to parts of the visual field.
FlashAttention-2 allows you to train and inference AI models at a faster & more efficiently on GPUs, making it useful for real-world applications where speed and performance are crucial.
Check it out ⬇️
https://t.co/1SuYZSaGn2