diff --git a/modules/impact/config.py b/modules/impact/config.py
index 2a831ef..e7121f2 100644
--- a/modules/impact/config.py
+++ b/modules/impact/config.py
@@ -2,7 +2,7 @@ import configparser
 import os
 
 
-version_code = [5, 3]
+version_code = [5, 3, 1]
 version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
 
 dependency_version = 20
diff --git a/modules/impact/hooks.py b/modules/impact/hooks.py
index 13e4c92..212af15 100644
--- a/modules/impact/hooks.py
+++ b/modules/impact/hooks.py
@@ -201,7 +201,7 @@ class VariationNoiseDetailerHookProvider(DetailerHook):
 
         mixed_noise = ((1 - self.variation_strength) * noise + self.variation_strength * noise_2nd)
 
-        # NOTE: mixed_noise is not gaussian noise; therefore, adjust the scale to correct it to gaussian noise.
+        # NOTE: Since the variance of the Gaussian noise in mixed_noise has changed, it must be corrected through scaling.
         scale_factor = math.sqrt((1 - self.variation_strength) ** 2 + self.variation_strength ** 2)
         corrected_noise = mixed_noise / scale_factor  # Scale the noise to maintain variance of 1
 
diff --git a/modules/impact/impact_sampling.py b/modules/impact/impact_sampling.py
index e246f7c..8a844ea 100644
--- a/modules/impact/impact_sampling.py
+++ b/modules/impact/impact_sampling.py
@@ -109,7 +109,7 @@ def ksampler(sampler_name, total_sigmas, extra_options={}, inpaint_options={}):
 
 
 # modified version of SamplerCustom.sample
-def sample_with_custom_noise(model, add_noise, noise_seed, cfg, positive, negative, sampler, sigmas, latent_image, noise=None):
+def sample_with_custom_noise(model, add_noise, noise_seed, cfg, positive, negative, sampler, sigmas, latent_image, noise=None, callback=None):
     latent = latent_image
     latent_image = latent["samples"]
 
@@ -124,10 +124,17 @@ def sample_with_custom_noise(model, add_noise, noise_seed, cfg, positive, negati
         noise_mask = latent["noise_mask"]
 
     x0_output = {}
-    callback = latent_preview.prepare_callback(model, sigmas.shape[-1] - 1, x0_output)
+    preview_callback = latent_preview.prepare_callback(model, sigmas.shape[-1] - 1, x0_output)
+
+    if callback is not None:
+        def touched_callback(step, x0, x, total_steps):
+            callback(step, x0, x, total_steps)
+            preview_callback(step, x0, x, total_steps)
+    else:
+        touched_callback = preview_callback
 
     disable_pbar = not comfy.utils.PROGRESS_BAR_ENABLED
-    samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=noise_mask, callback=callback, disable_pbar=disable_pbar, seed=noise_seed)
+    samples = comfy.sample.sample_custom(model, noise, cfg, sampler, sigmas, positive, negative, latent_image, noise_mask=noise_mask, callback=touched_callback, disable_pbar=disable_pbar, seed=noise_seed)
 
     out = latent.copy()
     out["samples"] = samples
@@ -141,7 +148,7 @@ def sample_with_custom_noise(model, add_noise, noise_seed, cfg, positive, negati
 
 # When sampling one step at a time, it mitigates the problem. (especially for _sde series samplers)
 def separated_sample(model, add_noise, seed, steps, cfg, sampler_name, scheduler, positive, negative,
-                     latent_image, start_at_step, end_at_step, return_with_leftover_noise, sigma_ratio=1.0, sampler_opt=None, noise=None):
+                     latent_image, start_at_step, end_at_step, return_with_leftover_noise, sigma_ratio=1.0, sampler_opt=None, noise=None, callback=None):
     if sampler_opt is None:
         total_sigmas = calculate_sigmas(model, sampler_name, scheduler, steps)
     else:
@@ -171,7 +178,7 @@ def separated_sample(model, add_noise, seed, steps, cfg, sampler_name, scheduler
     if len(sigmas) == 0 or (len(sigmas) == 1 and sigmas[0] == 0):
         return latent_image
     
-    res = sample_with_custom_noise(model, add_noise, seed, cfg, positive, negative, impact_sampler, sigmas, latent_image, noise=noise)
+    res = sample_with_custom_noise(model, add_noise, seed, cfg, positive, negative, impact_sampler, sigmas, latent_image, noise=noise, callback=callback)
 
     if return_with_leftover_noise:
         return res[0]