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You can train a diffusion model using its own predictions as input, no problem at all.


At that point it is not following a diffusion training objective. I am aware of papers that do this, but I have not seen one that shows it as a better pretraining objective than something like v-prediction or flow matching.


Why is not the diffusion training objective? The technique is known as self-conditioning right? Is it an issue with conditional Tweedie's?




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