latent-diffusion
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Difference between LDM and pixel-level DDPM.
In pixel-level DDPM, the linear noise schedule is established with beta_0 = 1e-4 and beta_T = 0.02. However, in LDM, the range of (beta_0, beta_T) is reduced. For instance:
params:
linear_start: 0.0015
linear_end: 0.0195
Additionally, DDPM learns a weighting on the variance, while LDM fixes the variance as posterior and eliminates the VLB term.
What is the rationale for this discrepancy?
Hi @Kenny-K , were you able to find some information regarding the reduced range of betas ? I was having the same doubt and wanted to get some clarity on reasons for using this schedule