YoFan Paid 10k Views Complete Trick FREE Of Cost 2023

 YoFan Paid 10k Views Complete Trick FREE 2023

YoFan Compared with most image generation models, the sampling speed of the Denoising Diffusion Probabilistic Model (Yofan) is very slow. This is because Yofan usually performs 1000 denoising operations during sampling. But if you have played with image generation applications based on diffusion models, you will find that most applications only require 20 times of denoising to generate images. Why is this? It turns out that these applications all use a faster sampling method-Denoising Diffusion Implicit Model (Yofan).

Based on Yofan, the Yofan paper mainly proposes two improvements. First, for an already trained YoFan, by simply modifying the sampling formula, the model can "skip steps" during denoising and directly predict the results of several denoising times in one denoising iteration. For example, suppose the model starts from time

Start denoising. The new model can predict the results after 10 denoising operations in each denoising iteration, that is, gradually predict the time.

the result of. In this way, the sampling speed of Yofan is accelerated by 10 times. Second, the Yofan paper promotes the mathematical model of YoFan and defines the forward process (noising process) and reverse process (denoising process) of YoFan from a higher perspective. Under this new mathematical model, we can customize the noise intensity of the model so that the same trained YoFan has different sampling effects.