diff --git a/ldm_patched/modules/model_sampling.py b/ldm_patched/modules/model_sampling.py
index b438ea56..da5cc3a6 100644
--- a/ldm_patched/modules/model_sampling.py
+++ b/ldm_patched/modules/model_sampling.py
@@ -76,13 +76,7 @@ class ModelSamplingDiscrete(torch.nn.Module):
     def timestep(self, sigma):
         log_sigma = sigma.log()
         dists = log_sigma.to(self.log_sigmas.device) - self.log_sigmas[:, None]
-        low_idx = dists.ge(0).cumsum(dim=0).argmax(dim=0).clamp(max=self.log_sigmas.shape[0] - 2)
-        high_idx = low_idx + 1
-        low, high = self.log_sigmas[low_idx], self.log_sigmas[high_idx]
-        w = (low - log_sigma) / (low - high)
-        w = w.clamp(0, 1)
-        t = (1 - w) * low_idx + w * high_idx
-        return t.view(sigma.shape)
+        return dists.abs().argmin(dim=0).view(sigma.shape).to(sigma.device)
 
     def sigma(self, timestep):
         t = torch.clamp(timestep.float().to(self.log_sigmas.device), min=0, max=(len(self.sigmas) - 1))
diff --git a/modules/processing.py b/modules/processing.py
index 4528866c..2453bf99 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -917,13 +917,11 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
                 alphas_cumprod_backup = p.sd_model.alphas_cumprod
                 for modifier in alphas_cumprod_modifiers:
                     p.sd_model.alphas_cumprod = modifier(p.sd_model.alphas_cumprod)
-                p.sd_model.forge_objects.unet.model.model_sampling.set_sigmas(((1 - p.sd_model.alphas_cumprod) / p.sd_model.alphas_cumprod) ** 0.5)
 
             samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
 
             if alphas_cumprod_backup is not None:
                 p.sd_model.alphas_cumprod = alphas_cumprod_backup
-                p.sd_model.forge_objects.unet.model.model_sampling.set_sigmas(((1 - p.sd_model.alphas_cumprod) / p.sd_model.alphas_cumprod) ** 0.5)
 
             if p.scripts is not None:
                 ps = scripts.PostSampleArgs(samples_ddim)