Difference between origin EDM and diffusers EDM
I read paper “lucidating the Design Space of Diffusion-Based Generative Models” and find that in original inference section, the σ is sampled according to the ρ, σ max  and σ min but in diffusers the code in  scheduling_euler_discrete.py shows that the  σ is sampleing according to timesteps, betas and alpha.The difference above also influences the training section. could someone give me some explanation？ Thanks a lot
2023-12-04T09:28:38Z
I got it,  the inference section is the same with the origin EDM