Cleanup some useless lines.

comfy/k_diffusion/sampling.py

@@ -1080,7 +1080,6 @@ def post_cfg_function(args):
  d = to_d(x, sigma_hat, temp[0])
  if callback is not None:
  callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised})
- dt = sigmas[i + 1] - sigma_hat
  # Euler method
  x = denoised + d * sigmas[i + 1]
  return x
@@ -1107,7 +1106,6 @@ def post_cfg_function(args):
  callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised})
  d = to_d(x, sigmas[i], temp[0])
  # Euler method
- dt = sigma_down - sigmas[i]
  x = denoised + d * sigma_down
  if sigmas[i + 1] > 0:
  x = x + noise_sampler(sigmas[i], sigmas[i + 1]) * s_noise * sigma_up
@@ -1138,7 +1136,6 @@ def post_cfg_function(args):
  if sigma_down == 0:
  # Euler method
  d = to_d(x, sigmas[i], temp[0])
- dt = sigma_down - sigmas[i]
  x = denoised + d * sigma_down
  else:
  # DPM-Solver++(2S)
@@ -1186,4 +1183,4 @@ def post_cfg_function(args):
  denoised_mix = -torch.exp(-h) * uncond_denoised - torch.expm1(-h) * (1 / (2 * r)) * (denoised - old_uncond_denoised)
  x = denoised + denoised_mix + torch.exp(-h) * x
  old_uncond_denoised = uncond_denoised
- return x
+ return x