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Stable Diffusion
Practical AI: Machine Learning, Data Science, LLM
One goal of the creators and how they achieved it
The researchers wanted to make a more computationally efficient diffusion model. Instead of jointly training the otto and coter and the diffusion model, they separately trained them. This means that the diffusion model only operates on these compressed images in the training. And those compressed images require like 64 times less memory for your diffusion model.
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