An overview of classifier-free diffusion guidance: impaired model guidance with a bad version of itself (part 2)
This follow-up blog post reviews alternative classifier-free guidance (CFG) approaches to a diffusion model trained without conditioning dropout. In such cases, CFG cannot be applied. So, what do we do? Or how do we apply CFG in purely unconditional generative setups? Recent works reveal that the (jointly trained) unconditional “model” can be substituted with various … Read more