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How does diffusion based text-to-image generation models Mathematically classify inputs to outputs?
I'm only familiar with Stable Diffusion 1.x models, but I assume that all LDMs work fundamentally the same way. In my understanding the mapping from input text to output image is a deterministic ...
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How does diffusion based text-to-image generation models Mathematically classify inputs to outputs?
The paper you are referencing actually already achieving text-to-image generation.
It's a tricky question in my opinion, since the process that is modelled by neural network during denoising process ...
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