Update 1model_cascade.py

1model_cascade.py

@@ -2,6 +2,8 @@ from diffusers import DDPMScheduler
 import torch, math
 
 # doesn't work like the multimodel scheduler, but it's a fair substitute - alebeit missing some noise functions for this one
+# it's highly basic and doesn't fit the correct paradigm to train sd15 correctly from 0, which is why I didn't bother posting it until now
+# there are more robust iterations that will need fitting to create the necessary multi-model scheduler
 class SurgeScheduler(DDPMScheduler):
     def __init__(self, *args, snr_gamma: float = 5.0, noise_offset: float = 0.1, **kwargs):
         super().__init__(