j is == i.

Author: gabe56f

core/inference/pytorch/pipeline.py

@@ -570,9 +570,6 @@ def do_denoise(
  nonlocal j
  nonlocal timesteps
 
- # Find current index because ksampling will not give it to us
- i = torch.nonzero(timesteps == t).item().__int__()
-
  self.unet = modify_kohya(self.unet, j, num_inference_steps, deepshrink)
 
  # expand the latents if we are doing classifier free guidance