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diff --git a/sd_simple_kes_v2_old/get_sigmas.py b/sd_simple_kes_v2_old/get_sigmas.py
new file mode 100644
index 0000000000000000000000000000000000000000..6fffb78b6b9545594220d925b7e8623c47358196
--- /dev/null
+++ b/sd_simple_kes_v2_old/get_sigmas.py
@@ -0,0 +1,32 @@
+import math
+import torch
+from torch import linspace, tensor
+
+#source files are from the diffusers library. Modified file to remove error messages on console:
+'''
+UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).
+  min_inv_rho = tensor(sigma_min, device=device) ** (1 / rho)
+
+'''
+def append_zero(x):
+    return torch.cat([x, x.new_zeros([1])])
+
+def get_sigmas_karras(n, sigma_min, sigma_max, rho=7., device='cpu'):
+    """Constructs the noise schedule of Karras et al. (2022)."""
+    ramp = linspace(0, 1, n, device=device)
+    #min_inv_rho = tensor(sigma_min, device=device) ** (1 / rho)
+    #max_inv_rho = tensor(sigma_max, device=device) ** (1 / rho)
+    def _to_tensor(val, device):
+        return val.to(device) if isinstance(val, torch.Tensor) else torch.tensor(val, device=device)
+
+    min_inv_rho = _to_tensor(sigma_min, device) ** (1 / rho)
+    max_inv_rho = _to_tensor(sigma_max, device) ** (1 / rho)
+    sigmas = (max_inv_rho + ramp * (min_inv_rho - max_inv_rho)) ** rho
+    return append_zero(sigmas).to(device)
+
+
+
+def get_sigmas_exponential(n, sigma_min, sigma_max, device='cpu'):
+    """Constructs an exponential noise schedule."""
+    sigmas = torch.linspace(math.log(sigma_max), math.log(sigma_min), n, device=device).exp()
+    return append_zero(sigmas)
\ No newline at end of file
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_111247.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_111247.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2158334a18ad9f10c247bd72bf225071fa82c0e3
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_111247.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 28.3674, 16.1685,  8.8299,  4.5879,  2.2479,  1.0266,  0.4304,  0.1621,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 22.5221, 10.5769,  4.9672,  2.3327,  1.0955,  0.5145,  0.2416,  0.1135,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/10] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 6/10] Blended Sigma: 2.078688, Final Sigma: 0.932787
+[Prepass Last Step - Step 10/10] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/10] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 10/10] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 28.3674, 16.1685,  8.8299,  4.5879,  2.2479,  1.0266,  0.4304,  0.1621,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 22.5221, 10.5769,  4.9672,  2.3327,  1.0955,  0.5145,  0.2416,  0.1135,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 6/10]
+Step Size: 0.489794
+Dynamic Blend Factor: 0.313333
+Noise Scale: 0.916177
+Smooth Blend: 0.146850
+Blended Sigma: 2.078688
+Final Sigma: 0.932787
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [8, 9]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_112221.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_112221.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1fe8570439926a630462b35419367c8f23c6a279
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_112221.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 31.2907, 19.9278, 12.3516,  7.4250,  4.3109,  2.4051,  1.2812,  0.6465,  0.3059,  0.1339,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 25.8399, 13.9227,  7.5016,  4.0419,  2.1778,  1.1734,  0.6322,  0.3407,  0.1835,  0.0989,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/12] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/12] Blended Sigma: 2.230270, Final Sigma: 1.022779
+[Prepass Last Step - Step 12/12] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/12] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 12/12] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 31.2907, 19.9278, 12.3516,  7.4250,  4.3109,  2.4051,  1.2812,  0.6465,  0.3059,  0.1339,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 25.8399, 13.9227,  7.5016,  4.0419,  2.1778,  1.1734,  0.6322,  0.3407,  0.1835,  0.0989,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/12]
+Step Size: 0.497253
+Dynamic Blend Factor: 0.309091
+Noise Scale: 0.922247
+Smooth Blend: 0.141911
+Blended Sigma: 2.230270
+Final Sigma: 1.022779
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [9, 10, 11]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_112255.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_112255.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_112255.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_120253.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_120253.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1fe8570439926a630462b35419367c8f23c6a279
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_120253.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 31.2907, 19.9278, 12.3516,  7.4250,  4.3109,  2.4051,  1.2812,  0.6465,  0.3059,  0.1339,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 25.8399, 13.9227,  7.5016,  4.0419,  2.1778,  1.1734,  0.6322,  0.3407,  0.1835,  0.0989,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/12] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/12] Blended Sigma: 2.230270, Final Sigma: 1.022779
+[Prepass Last Step - Step 12/12] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/12] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 12/12] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 31.2907, 19.9278, 12.3516,  7.4250,  4.3109,  2.4051,  1.2812,  0.6465,  0.3059,  0.1339,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 25.8399, 13.9227,  7.5016,  4.0419,  2.1778,  1.1734,  0.6322,  0.3407,  0.1835,  0.0989,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/12]
+Step Size: 0.497253
+Dynamic Blend Factor: 0.309091
+Noise Scale: 0.922247
+Smooth Blend: 0.141911
+Blended Sigma: 2.230270
+Final Sigma: 1.022779
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [9, 10, 11]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_120349.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_120349.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1fe8570439926a630462b35419367c8f23c6a279
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_120349.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 31.2907, 19.9278, 12.3516,  7.4250,  4.3109,  2.4051,  1.2812,  0.6465,  0.3059,  0.1339,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 25.8399, 13.9227,  7.5016,  4.0419,  2.1778,  1.1734,  0.6322,  0.3407,  0.1835,  0.0989,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/12] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/12] Blended Sigma: 2.230270, Final Sigma: 1.022779
+[Prepass Last Step - Step 12/12] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/12] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 12/12] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 31.2907, 19.9278, 12.3516,  7.4250,  4.3109,  2.4051,  1.2812,  0.6465,  0.3059,  0.1339,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 25.8399, 13.9227,  7.5016,  4.0419,  2.1778,  1.1734,  0.6322,  0.3407,  0.1835,  0.0989,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/12]
+Step Size: 0.497253
+Dynamic Blend Factor: 0.309091
+Noise Scale: 0.922247
+Smooth Blend: 0.141911
+Blended Sigma: 2.230270
+Final Sigma: 1.022779
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [9, 10, 11]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122523.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122523.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cc4dba9f48aff272b63788e6c0ea8f2260103de8
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122523.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 34.3558, 24.2551, 16.8535, 11.5080,  7.7084,  5.0547,  3.2372,  2.0191,  1.2224,  0.7155,  0.4029,  0.2170,  0.1109,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 29.5013, 18.1478, 11.1636,  6.8673,  4.2245,  2.5987,  1.5986,  0.9834,  0.6049,  0.3721,  0.2289,  0.1408,  0.0866,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/15] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 8/15] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 15/15] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/15] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 15/15] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 34.3558, 24.2551, 16.8535, 11.5080,  7.7084,  5.0547,  3.2372,  2.0191,  1.2224,  0.7155,  0.4029,  0.2170,  0.1109,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 29.5013, 18.1478, 11.1636,  6.8673,  4.2245,  2.5987,  1.5986,  0.9834,  0.6049,  0.3721,  0.2289,  0.1408,  0.0866,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 8/15]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [12, 13, 14]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122547.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122547.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cc4dba9f48aff272b63788e6c0ea8f2260103de8
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122547.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 34.3558, 24.2551, 16.8535, 11.5080,  7.7084,  5.0547,  3.2372,  2.0191,  1.2224,  0.7155,  0.4029,  0.2170,  0.1109,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 29.5013, 18.1478, 11.1636,  6.8673,  4.2245,  2.5987,  1.5986,  0.9834,  0.6049,  0.3721,  0.2289,  0.1408,  0.0866,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/15] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 8/15] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 15/15] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/15] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 15/15] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 34.3558, 24.2551, 16.8535, 11.5080,  7.7084,  5.0547,  3.2372,  2.0191,  1.2224,  0.7155,  0.4029,  0.2170,  0.1109,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 29.5013, 18.1478, 11.1636,  6.8673,  4.2245,  2.5987,  1.5986,  0.9834,  0.6049,  0.3721,  0.2289,  0.1408,  0.0866,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 8/15]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [12, 13, 14]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122607.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122607.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cc4dba9f48aff272b63788e6c0ea8f2260103de8
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122607.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 34.3558, 24.2551, 16.8535, 11.5080,  7.7084,  5.0547,  3.2372,  2.0191,  1.2224,  0.7155,  0.4029,  0.2170,  0.1109,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 29.5013, 18.1478, 11.1636,  6.8673,  4.2245,  2.5987,  1.5986,  0.9834,  0.6049,  0.3721,  0.2289,  0.1408,  0.0866,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/15] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 8/15] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 15/15] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/15] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 15/15] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 34.3558, 24.2551, 16.8535, 11.5080,  7.7084,  5.0547,  3.2372,  2.0191,  1.2224,  0.7155,  0.4029,  0.2170,  0.1109,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 29.5013, 18.1478, 11.1636,  6.8673,  4.2245,  2.5987,  1.5986,  0.9834,  0.6049,  0.3721,  0.2289,  0.1408,  0.0866,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 8/15]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [12, 13, 14]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122628.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122628.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1fe8570439926a630462b35419367c8f23c6a279
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122628.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 31.2907, 19.9278, 12.3516,  7.4250,  4.3109,  2.4051,  1.2812,  0.6465,  0.3059,  0.1339,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 25.8399, 13.9227,  7.5016,  4.0419,  2.1778,  1.1734,  0.6322,  0.3407,  0.1835,  0.0989,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/12] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/12] Blended Sigma: 2.230270, Final Sigma: 1.022779
+[Prepass Last Step - Step 12/12] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/12] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 12/12] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 31.2907, 19.9278, 12.3516,  7.4250,  4.3109,  2.4051,  1.2812,  0.6465,  0.3059,  0.1339,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 25.8399, 13.9227,  7.5016,  4.0419,  2.1778,  1.1734,  0.6322,  0.3407,  0.1835,  0.0989,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/12]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/12]
+Step Size: 0.497253
+Dynamic Blend Factor: 0.309091
+Noise Scale: 0.922247
+Smooth Blend: 0.141911
+Blended Sigma: 2.230270
+Final Sigma: 1.022779
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 12/12]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [9, 10, 11]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122646.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122646.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2158334a18ad9f10c247bd72bf225071fa82c0e3
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122646.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 28.3674, 16.1685,  8.8299,  4.5879,  2.2479,  1.0266,  0.4304,  0.1621,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 22.5221, 10.5769,  4.9672,  2.3327,  1.0955,  0.5145,  0.2416,  0.1135,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/10] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 6/10] Blended Sigma: 2.078688, Final Sigma: 0.932787
+[Prepass Last Step - Step 10/10] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/10] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 10/10] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 28.3674, 16.1685,  8.8299,  4.5879,  2.2479,  1.0266,  0.4304,  0.1621,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 22.5221, 10.5769,  4.9672,  2.3327,  1.0955,  0.5145,  0.2416,  0.1135,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 6/10]
+Step Size: 0.489794
+Dynamic Blend Factor: 0.313333
+Noise Scale: 0.916177
+Smooth Blend: 0.146850
+Blended Sigma: 2.078688
+Final Sigma: 0.932787
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [8, 9]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122726.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122726.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2158334a18ad9f10c247bd72bf225071fa82c0e3
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122726.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 28.3674, 16.1685,  8.8299,  4.5879,  2.2479,  1.0266,  0.4304,  0.1621,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 22.5221, 10.5769,  4.9672,  2.3327,  1.0955,  0.5145,  0.2416,  0.1135,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/10] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 6/10] Blended Sigma: 2.078688, Final Sigma: 0.932787
+[Prepass Last Step - Step 10/10] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/10] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 10/10] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 28.3674, 16.1685,  8.8299,  4.5879,  2.2479,  1.0266,  0.4304,  0.1621,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 22.5221, 10.5769,  4.9672,  2.3327,  1.0955,  0.5145,  0.2416,  0.1135,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 6/10]
+Step Size: 0.489794
+Dynamic Blend Factor: 0.313333
+Noise Scale: 0.916177
+Smooth Blend: 0.146850
+Blended Sigma: 2.078688
+Final Sigma: 0.932787
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [8, 9]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122740.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122740.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2158334a18ad9f10c247bd72bf225071fa82c0e3
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122740.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 28.3674, 16.1685,  8.8299,  4.5879,  2.2479,  1.0266,  0.4304,  0.1621,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 22.5221, 10.5769,  4.9672,  2.3327,  1.0955,  0.5145,  0.2416,  0.1135,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/10] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 6/10] Blended Sigma: 2.078688, Final Sigma: 0.932787
+[Prepass Last Step - Step 10/10] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/10] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 10/10] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 28.3674, 16.1685,  8.8299,  4.5879,  2.2479,  1.0266,  0.4304,  0.1621,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 22.5221, 10.5769,  4.9672,  2.3327,  1.0955,  0.5145,  0.2416,  0.1135,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 6/10]
+Step Size: 0.489794
+Dynamic Blend Factor: 0.313333
+Noise Scale: 0.916177
+Smooth Blend: 0.146850
+Blended Sigma: 2.078688
+Final Sigma: 0.932787
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [8, 9]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122757.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122757.txt
new file mode 100644
index 0000000000000000000000000000000000000000..cc4dba9f48aff272b63788e6c0ea8f2260103de8
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122757.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 34.3558, 24.2551, 16.8535, 11.5080,  7.7084,  5.0547,  3.2372,  2.0191,  1.2224,  0.7155,  0.4029,  0.2170,  0.1109,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 29.5013, 18.1478, 11.1636,  6.8673,  4.2245,  2.5987,  1.5986,  0.9834,  0.6049,  0.3721,  0.2289,  0.1408,  0.0866,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/15] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 8/15] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 15/15] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/15] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 15/15] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 34.3558, 24.2551, 16.8535, 11.5080,  7.7084,  5.0547,  3.2372,  2.0191,  1.2224,  0.7155,  0.4029,  0.2170,  0.1109,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 29.5013, 18.1478, 11.1636,  6.8673,  4.2245,  2.5987,  1.5986,  0.9834,  0.6049,  0.3721,  0.2289,  0.1408,  0.0866,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/15]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 8/15]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 15/15]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [12, 13, 14]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122928.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122928.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95dd2aff445dd030d6c7f61e540558498db2976c
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122928.txt
@@ -0,0 +1,131 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+[Sharpening Notice] Requested last 4 steps exceeds sequence length. Using entire sequence instead.
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 3/4] Blended Sigma: 0.918630, Final Sigma: 0.318168
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 3/4]
+Step Size: 0.407753
+Dynamic Blend Factor: 0.360000
+Noise Scale: 0.849413
+Smooth Blend: 0.210878
+Blended Sigma: 0.918630
+Final Sigma: 0.318168
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [3]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122947.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122947.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95dd2aff445dd030d6c7f61e540558498db2976c
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_122947.txt
@@ -0,0 +1,131 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+[Sharpening Notice] Requested last 4 steps exceeds sequence length. Using entire sequence instead.
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 3/4] Blended Sigma: 0.918630, Final Sigma: 0.318168
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 3/4]
+Step Size: 0.407753
+Dynamic Blend Factor: 0.360000
+Noise Scale: 0.849413
+Smooth Blend: 0.210878
+Blended Sigma: 0.918630
+Final Sigma: 0.318168
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [3]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123001.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123001.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95dd2aff445dd030d6c7f61e540558498db2976c
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123001.txt
@@ -0,0 +1,131 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+[Sharpening Notice] Requested last 4 steps exceeds sequence length. Using entire sequence instead.
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 3/4] Blended Sigma: 0.918630, Final Sigma: 0.318168
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 3/4]
+Step Size: 0.407753
+Dynamic Blend Factor: 0.360000
+Noise Scale: 0.849413
+Smooth Blend: 0.210878
+Blended Sigma: 0.918630
+Final Sigma: 0.318168
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [3]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123019.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123019.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95dd2aff445dd030d6c7f61e540558498db2976c
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123019.txt
@@ -0,0 +1,131 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+[Sharpening Notice] Requested last 4 steps exceeds sequence length. Using entire sequence instead.
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 3/4] Blended Sigma: 0.918630, Final Sigma: 0.318168
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 3/4]
+Step Size: 0.407753
+Dynamic Blend Factor: 0.360000
+Noise Scale: 0.849413
+Smooth Blend: 0.210878
+Blended Sigma: 0.918630
+Final Sigma: 0.318168
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [3]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123032.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123032.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95dd2aff445dd030d6c7f61e540558498db2976c
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123032.txt
@@ -0,0 +1,131 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+[Sharpening Notice] Requested last 4 steps exceeds sequence length. Using entire sequence instead.
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 3/4] Blended Sigma: 0.918630, Final Sigma: 0.318168
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 3/4]
+Step Size: 0.407753
+Dynamic Blend Factor: 0.360000
+Noise Scale: 0.849413
+Smooth Blend: 0.210878
+Blended Sigma: 0.918630
+Final Sigma: 0.318168
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [3]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123044.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123044.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95dd2aff445dd030d6c7f61e540558498db2976c
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_123044.txt
@@ -0,0 +1,131 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+[Sharpening Notice] Requested last 4 steps exceeds sequence length. Using entire sequence instead.
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 3/4] Blended Sigma: 0.918630, Final Sigma: 0.318168
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 3/4]
+Step Size: 0.407753
+Dynamic Blend Factor: 0.360000
+Noise Scale: 0.849413
+Smooth Blend: 0.210878
+Blended Sigma: 0.918630
+Final Sigma: 0.318168
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [3]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_142650.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_142650.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95dd2aff445dd030d6c7f61e540558498db2976c
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_142650.txt
@@ -0,0 +1,131 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+[Sharpening Notice] Requested last 4 steps exceeds sequence length. Using entire sequence instead.
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 3/4] Blended Sigma: 0.918630, Final Sigma: 0.318168
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 3/4]
+Step Size: 0.407753
+Dynamic Blend Factor: 0.360000
+Noise Scale: 0.849413
+Smooth Blend: 0.210878
+Blended Sigma: 0.918630
+Final Sigma: 0.318168
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [3]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_142935.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_142935.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95dd2aff445dd030d6c7f61e540558498db2976c
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250628_142935.txt
@@ -0,0 +1,131 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+[Sharpening Notice] Requested last 4 steps exceeds sequence length. Using entire sequence instead.
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 3/4] Blended Sigma: 0.918630, Final Sigma: 0.318168
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/4] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 4/4] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577,  8.8299,  1.0266,  0.0533], device='cuda:0'), Exponential: tensor([47.9577,  4.9672,  0.5145,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/4]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 3/4]
+Step Size: 0.407753
+Dynamic Blend Factor: 0.360000
+Noise Scale: 0.849413
+Smooth Blend: 0.210878
+Blended Sigma: 0.918630
+Final Sigma: 0.318168
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 4/4]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [3]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_075623.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_075623.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bf6c803e8398b2ef95ce07fd2594bd12a666e2a0
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_075623.txt
@@ -0,0 +1,142 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.8963, 34.7614, 29.4468, 24.8569, 20.9051, 17.5141, 14.6142,
+        12.1431, 10.0455,  8.2718,  6.7783,  5.5261,  4.4811,  3.6131,  2.8959,
+         2.3064,  1.8247,  1.4333,  1.1174,  0.8642,  0.6626,  0.5034,  0.3788,
+         0.2820,  0.2075,  0.1509,  0.1083,  0.0766,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.9304, 29.9997, 23.7272, 18.7662, 14.8425, 11.7391,  9.2846,
+         7.3434,  5.8080,  4.5936,  3.6332,  2.8735,  2.2727,  1.7975,  1.4217,
+         1.1244,  0.8893,  0.7034,  0.5563,  0.4400,  0.3480,  0.2752,  0.2177,
+         0.1722,  0.1362,  0.1077,  0.0852,  0.0674,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/30] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/30]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 16/30] Blended Sigma: 2.705973, Final Sigma: 1.316685
+[Prepass Last Step - Step 30/30] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 30/30]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/30] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 30/30] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.8963, 34.7614, 29.4468, 24.8569, 20.9051, 17.5141, 14.6142,
+        12.1431, 10.0455,  8.2718,  6.7783,  5.5261,  4.4811,  3.6131,  2.8959,
+         2.3064,  1.8247,  1.4333,  1.1174,  0.8642,  0.6626,  0.5034,  0.3788,
+         0.2820,  0.2075,  0.1509,  0.1083,  0.0766,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.9304, 29.9997, 23.7272, 18.7662, 14.8425, 11.7391,  9.2846,
+         7.3434,  5.8080,  4.5936,  3.6332,  2.8735,  2.2727,  1.7975,  1.4217,
+         1.1244,  0.8893,  0.7034,  0.5563,  0.4400,  0.3480,  0.2752,  0.2177,
+         0.1722,  0.1362,  0.1077,  0.0852,  0.0674,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/30]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/30]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 16/30]
+Step Size: 0.518084
+Dynamic Blend Factor: 0.297241
+Noise Scale: 0.939200
+Smooth Blend: 0.128846
+Blended Sigma: 2.705973
+Final Sigma: 1.316685
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 30/30]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 30/30]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [24, 25, 26, 27, 28, 29]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_084609.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_084609.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_084609.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_084839.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_084839.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_084839.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_090703.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_090703.txt
new file mode 100644
index 0000000000000000000000000000000000000000..207b081e2c58d530717d430ab409a39f11357f97
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_090703.txt
@@ -0,0 +1,131 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 24.2551, 11.5080,  5.0547,  2.0191,  0.7155,  0.2170,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 18.1478,  6.8673,  2.5987,  0.9834,  0.3721,  0.1408,  0.0533], device='cuda:0')
+[Sharpening Notice] Requested last 8 steps exceeds sequence length. Using entire sequence instead.
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/8] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/8]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 5/8] Blended Sigma: 1.858683, Final Sigma: 0.805630
+[Prepass Last Step - Step 8/8] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 8/8]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/8] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 8/8] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 24.2551, 11.5080,  5.0547,  2.0191,  0.7155,  0.2170,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 18.1478,  6.8673,  2.5987,  0.9834,  0.3721,  0.1408,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/8]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/8]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 5/8]
+Step Size: 0.478074
+Dynamic Blend Factor: 0.320000
+Noise Scale: 0.906640
+Smooth Blend: 0.154899
+Blended Sigma: 1.858683
+Final Sigma: 0.805630
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 8/8]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 8/8]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [6, 7]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_090822.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_090822.txt
new file mode 100644
index 0000000000000000000000000000000000000000..207b081e2c58d530717d430ab409a39f11357f97
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_090822.txt
@@ -0,0 +1,131 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 24.2551, 11.5080,  5.0547,  2.0191,  0.7155,  0.2170,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 18.1478,  6.8673,  2.5987,  0.9834,  0.3721,  0.1408,  0.0533], device='cuda:0')
+[Sharpening Notice] Requested last 8 steps exceeds sequence length. Using entire sequence instead.
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/8] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/8]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 5/8] Blended Sigma: 1.858683, Final Sigma: 0.805630
+[Prepass Last Step - Step 8/8] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 8/8]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/8] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 8/8] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 24.2551, 11.5080,  5.0547,  2.0191,  0.7155,  0.2170,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 18.1478,  6.8673,  2.5987,  0.9834,  0.3721,  0.1408,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/8]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/8]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 5/8]
+Step Size: 0.478074
+Dynamic Blend Factor: 0.320000
+Noise Scale: 0.906640
+Smooth Blend: 0.154899
+Blended Sigma: 1.858683
+Final Sigma: 0.805630
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 8/8]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 8/8]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [6, 7]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_094416.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_094416.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_094416.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_094531.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_094531.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_094531.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_094725.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_094725.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250706_094725.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_061921.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_061921.txt
new file mode 100644
index 0000000000000000000000000000000000000000..316adc7fd033f5960c1654b976d4ad98abac601b
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_061921.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 15/28] Blended Sigma: 2.682668, Final Sigma: 1.301905
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 15/28]
+Step Size: 0.517141
+Dynamic Blend Factor: 0.297778
+Noise Scale: 0.938432
+Smooth Blend: 0.129414
+Blended Sigma: 2.682668
+Final Sigma: 1.301905
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [22, 23, 24, 25, 26, 27]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_061947.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_061947.txt
new file mode 100644
index 0000000000000000000000000000000000000000..316adc7fd033f5960c1654b976d4ad98abac601b
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_061947.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 15/28] Blended Sigma: 2.682668, Final Sigma: 1.301905
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 15/28]
+Step Size: 0.517141
+Dynamic Blend Factor: 0.297778
+Noise Scale: 0.938432
+Smooth Blend: 0.129414
+Blended Sigma: 2.682668
+Final Sigma: 1.301905
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [22, 23, 24, 25, 26, 27]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062014.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062014.txt
new file mode 100644
index 0000000000000000000000000000000000000000..316adc7fd033f5960c1654b976d4ad98abac601b
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062014.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 15/28] Blended Sigma: 2.682668, Final Sigma: 1.301905
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 15/28]
+Step Size: 0.517141
+Dynamic Blend Factor: 0.297778
+Noise Scale: 0.938432
+Smooth Blend: 0.129414
+Blended Sigma: 2.682668
+Final Sigma: 1.301905
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [22, 23, 24, 25, 26, 27]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062041.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062041.txt
new file mode 100644
index 0000000000000000000000000000000000000000..316adc7fd033f5960c1654b976d4ad98abac601b
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062041.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 15/28] Blended Sigma: 2.682668, Final Sigma: 1.301905
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 15/28]
+Step Size: 0.517141
+Dynamic Blend Factor: 0.297778
+Noise Scale: 0.938432
+Smooth Blend: 0.129414
+Blended Sigma: 2.682668
+Final Sigma: 1.301905
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [22, 23, 24, 25, 26, 27]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062107.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062107.txt
new file mode 100644
index 0000000000000000000000000000000000000000..316adc7fd033f5960c1654b976d4ad98abac601b
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062107.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 15/28] Blended Sigma: 2.682668, Final Sigma: 1.301905
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 15/28]
+Step Size: 0.517141
+Dynamic Blend Factor: 0.297778
+Noise Scale: 0.938432
+Smooth Blend: 0.129414
+Blended Sigma: 2.682668
+Final Sigma: 1.301905
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [22, 23, 24, 25, 26, 27]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062134.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062134.txt
new file mode 100644
index 0000000000000000000000000000000000000000..316adc7fd033f5960c1654b976d4ad98abac601b
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250712_062134.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 15/28] Blended Sigma: 2.682668, Final Sigma: 1.301905
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/28] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 28/28] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 40.4115, 33.9247, 28.3674, 23.6231, 19.5877, 16.1685, 13.2830, 10.8583,  8.8299,  7.1408,  5.7414,  4.5879,  3.6424,  2.8719,  2.2479,  1.7459,  1.3447,  1.0266,  0.7764,  0.5812,  0.4304,  0.3149,  0.2275,  0.1621,  0.1138,  0.0786,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 37.2771, 28.9751, 22.5221, 17.5062, 13.6074, 10.5769,  8.2214,  6.3904,  4.9672,  3.8610,  3.0011,  2.3327,  1.8132,  1.4094,  1.0955,  0.8515,  0.6619,  0.5145,  0.3999,  0.3108,  0.2416,  0.1878,  0.1460,  0.1135,  0.0882,  0.0686,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/28]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 15/28]
+Step Size: 0.517141
+Dynamic Blend Factor: 0.297778
+Noise Scale: 0.938432
+Smooth Blend: 0.129414
+Blended Sigma: 2.682668
+Final Sigma: 1.301905
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 28/28]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [22, 23, 24, 25, 26, 27]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_133546.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_133546.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b820da985cbfa2e46574697959dbcb662f345d8
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_133546.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 11/21] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 11/21]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [16, 17, 18, 19, 20]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_135913.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_135913.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b820da985cbfa2e46574697959dbcb662f345d8
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_135913.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 11/21] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 11/21]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [16, 17, 18, 19, 20]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140053.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140053.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b820da985cbfa2e46574697959dbcb662f345d8
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140053.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 11/21] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 11/21]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [16, 17, 18, 19, 20]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140159.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140159.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b820da985cbfa2e46574697959dbcb662f345d8
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140159.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 11/21] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 11/21]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [16, 17, 18, 19, 20]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140312.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140312.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b820da985cbfa2e46574697959dbcb662f345d8
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140312.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 11/21] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 11/21]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [16, 17, 18, 19, 20]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140401.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140401.txt
new file mode 100644
index 0000000000000000000000000000000000000000..1b820da985cbfa2e46574697959dbcb662f345d8
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250726_140401.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 11/21] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/21] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 21/21] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 38.0275, 29.9442, 23.4053, 18.1509, 13.9585, 10.6386,  8.0309,  6.0003,  4.4337,  3.2372,  2.3332,  1.6582,  1.1605,  0.7987,  0.5397,  0.3574,  0.2313,  0.1461,  0.0896,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 34.1308, 24.2904, 17.2871, 12.3030,  8.7558,  6.2314,  4.4348,  3.1562,  2.2462,  1.5986,  1.1377,  0.8097,  0.5762,  0.4101,  0.2919,  0.2077,  0.1478,  0.1052,  0.0749,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/21]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 11/21]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 21/21]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [16, 17, 18, 19, 20]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250802_104249.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250802_104249.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5e06e35cef4c58f50fd43b3b85adaa7f33ba8759
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250802_104249.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 39.8553, 32.9762, 27.1587, 22.2593, 18.1509, 14.7215, 11.8727,  9.5182,  7.5825,  6.0003,  4.7147,  3.6767,  2.8443,  2.1817,  1.6582,  1.2480,  0.9294,  0.6844,  0.4978,  0.3574,  0.2529,  0.1761,  0.1206,  0.0810,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 36.5333, 27.8304, 21.2007, 16.1503, 12.3030,  9.3722,  7.1395,  5.4388,  4.1432,  3.1562,  2.4043,  1.8316,  1.3953,  1.0629,  0.8097,  0.6168,  0.4699,  0.3579,  0.2727,  0.2077,  0.1582,  0.1205,  0.0918,  0.0699,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/26] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/26]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 14/26] Blended Sigma: 2.655854, Final Sigma: 1.284945
+[Prepass Last Step - Step 26/26] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 26/26]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/26] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 26/26] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 39.8553, 32.9762, 27.1587, 22.2593, 18.1509, 14.7215, 11.8727,  9.5182,  7.5825,  6.0003,  4.7147,  3.6767,  2.8443,  2.1817,  1.6582,  1.2480,  0.9294,  0.6844,  0.4978,  0.3574,  0.2529,  0.1761,  0.1206,  0.0810,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 36.5333, 27.8304, 21.2007, 16.1503, 12.3030,  9.3722,  7.1395,  5.4388,  4.1432,  3.1562,  2.4043,  1.8316,  1.3953,  1.0629,  0.8097,  0.6168,  0.4699,  0.3579,  0.2727,  0.2077,  0.1582,  0.1205,  0.0918,  0.0699,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/26]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/26]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 14/26]
+Step Size: 0.516048
+Dynamic Blend Factor: 0.298400
+Noise Scale: 0.937542
+Smooth Blend: 0.130076
+Blended Sigma: 2.655854
+Final Sigma: 1.284945
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 26/26]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 26/26]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [20, 21, 22, 23, 24, 25]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250802_104332.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250802_104332.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5e06e35cef4c58f50fd43b3b85adaa7f33ba8759
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250802_104332.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 39.8553, 32.9762, 27.1587, 22.2593, 18.1509, 14.7215, 11.8727,  9.5182,  7.5825,  6.0003,  4.7147,  3.6767,  2.8443,  2.1817,  1.6582,  1.2480,  0.9294,  0.6844,  0.4978,  0.3574,  0.2529,  0.1761,  0.1206,  0.0810,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 36.5333, 27.8304, 21.2007, 16.1503, 12.3030,  9.3722,  7.1395,  5.4388,  4.1432,  3.1562,  2.4043,  1.8316,  1.3953,  1.0629,  0.8097,  0.6168,  0.4699,  0.3579,  0.2727,  0.2077,  0.1582,  0.1205,  0.0918,  0.0699,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/26] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/26]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 14/26] Blended Sigma: 2.655854, Final Sigma: 1.284945
+[Prepass Last Step - Step 26/26] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 26/26]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/26] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 26/26] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 39.8553, 32.9762, 27.1587, 22.2593, 18.1509, 14.7215, 11.8727,  9.5182,  7.5825,  6.0003,  4.7147,  3.6767,  2.8443,  2.1817,  1.6582,  1.2480,  0.9294,  0.6844,  0.4978,  0.3574,  0.2529,  0.1761,  0.1206,  0.0810,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 36.5333, 27.8304, 21.2007, 16.1503, 12.3030,  9.3722,  7.1395,  5.4388,  4.1432,  3.1562,  2.4043,  1.8316,  1.3953,  1.0629,  0.8097,  0.6168,  0.4699,  0.3579,  0.2727,  0.2077,  0.1582,  0.1205,  0.0918,  0.0699,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/26]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/26]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 14/26]
+Step Size: 0.516048
+Dynamic Blend Factor: 0.298400
+Noise Scale: 0.937542
+Smooth Blend: 0.130076
+Blended Sigma: 2.655854
+Final Sigma: 1.284945
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 26/26]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 26/26]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [20, 21, 22, 23, 24, 25]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250804_145548.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250804_145548.txt
new file mode 100644
index 0000000000000000000000000000000000000000..4f77af595440f2da5cd0b969401eb9e8397d9805
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250804_145548.txt
@@ -0,0 +1,134 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 29.9442, 18.1509, 10.6386,  6.0003,  3.2372,  1.6582,  0.7987,
+         0.3574,  0.1461,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 24.2904, 12.3030,  6.2314,  3.1562,  1.5986,  0.8097,  0.4101,
+         0.2077,  0.1052,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/11] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/11]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 6/11] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 11/11] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 11/11]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/11] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 11/11] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 29.9442, 18.1509, 10.6386,  6.0003,  3.2372,  1.6582,  0.7987,
+         0.3574,  0.1461,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 24.2904, 12.3030,  6.2314,  3.1562,  1.5986,  0.8097,  0.4101,
+         0.2077,  0.1052,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/11]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/11]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 6/11]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 11/11]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 11/11]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [8, 9, 10]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250804_145608.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250804_145608.txt
new file mode 100644
index 0000000000000000000000000000000000000000..de671ea5be8ae2deba5f0b8a5046c987c03dcd81
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250804_145608.txt
@@ -0,0 +1,134 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 28.3674, 16.1685,  8.8299,  4.5879,  2.2479,  1.0266,  0.4304,
+         0.1621,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 22.5221, 10.5769,  4.9672,  2.3327,  1.0955,  0.5145,  0.2416,
+         0.1135,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/10] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 6/10] Blended Sigma: 2.078688, Final Sigma: 0.932787
+[Prepass Last Step - Step 10/10] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/10] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 10/10] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 28.3674, 16.1685,  8.8299,  4.5879,  2.2479,  1.0266,  0.4304,
+         0.1621,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 22.5221, 10.5769,  4.9672,  2.3327,  1.0955,  0.5145,  0.2416,
+         0.1135,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/10]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 6/10]
+Step Size: 0.489794
+Dynamic Blend Factor: 0.313333
+Noise Scale: 0.916177
+Smooth Blend: 0.146850
+Blended Sigma: 2.078688
+Final Sigma: 0.932787
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 10/10]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [8, 9]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250812_062548.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250812_062548.txt
new file mode 100644
index 0000000000000000000000000000000000000000..961a4dd4765ca96a8324a78d121a161fe5bdebe4
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250812_062548.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 35.8461, 26.4989, 19.3568, 13.9585,  9.9256,  6.9510,  4.7873,  3.2372,  2.1452,  1.3900,  0.8784,  0.5397,  0.3213,  0.1844,  0.1016,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 31.3486, 20.4917, 13.3948,  8.7558,  5.7234,  3.7413,  2.4456,  1.5986,  1.0450,  0.6831,  0.4465,  0.2919,  0.1908,  0.1247,  0.0815,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/17] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/17]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 9/17] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 17/17] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 17/17]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/17] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 17/17] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 35.8461, 26.4989, 19.3568, 13.9585,  9.9256,  6.9510,  4.7873,  3.2372,  2.1452,  1.3900,  0.8784,  0.5397,  0.3213,  0.1844,  0.1016,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 31.3486, 20.4917, 13.3948,  8.7558,  5.7234,  3.7413,  2.4456,  1.5986,  1.0450,  0.6831,  0.4465,  0.2919,  0.1908,  0.1247,  0.0815,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/17]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/17]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 9/17]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 17/17]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 17/17]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [13, 14, 15, 16]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084059.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084059.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084059.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084322.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084322.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084322.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084504.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084504.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084504.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084616.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084616.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084616.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084718.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084718.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084718.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084850.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084850.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_084850.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_085042.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_085042.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_085042.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_085257.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_085257.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_085257.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_085437.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_085437.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_085437.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_090111.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_090111.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_090111.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_092843.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_092843.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_092843.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104444.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104444.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104444.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104544.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104544.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104544.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104603.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104603.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104603.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104643.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104643.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104643.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104729.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104729.txt
new file mode 100644
index 0000000000000000000000000000000000000000..9cc8fe6cc255a8ef540303ccec29e6597014c73a
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250813_104729.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 7/13] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/13] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 13/13] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 32.4530, 21.5228, 13.9585,  8.8299,  5.4316,  3.2372,  1.8611,  1.0266,  0.5397,  0.2681,  0.1245,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 27.2064, 15.4342,  8.7558,  4.9672,  2.8179,  1.5986,  0.9069,  0.5145,  0.2919,  0.1656,  0.0939,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/13]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 7/13]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 13/13]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [10, 11, 12]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250823_134907.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250823_134907.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a72d55329e6f7ce63fd97ae26d0ef2e6faa46c6b
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250823_134907.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 33.4658, 22.9586, 15.4580, 10.1947,  6.5708,  4.1278,  2.5194,  1.4883,  0.8470,  0.4617,  0.2394,  0.1170,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 28.4190, 16.8407,  9.9795,  5.9137,  3.5044,  2.0766,  1.2306,  0.7292,  0.4321,  0.2561,  0.1517,  0.0899,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/14] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/14]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 8/14] Blended Sigma: 2.340789, Final Sigma: 1.089550
+[Prepass Last Step - Step 14/14] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 14/14]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/14] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 14/14] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 33.4658, 22.9586, 15.4580, 10.1947,  6.5708,  4.1278,  2.5194,  1.4883,  0.8470,  0.4617,  0.2394,  0.1170,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 28.4190, 16.8407,  9.9795,  5.9137,  3.5044,  2.0766,  1.2306,  0.7292,  0.4321,  0.2561,  0.1517,  0.0899,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/14]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/14]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 8/14]
+Step Size: 0.502416
+Dynamic Blend Factor: 0.306154
+Noise Scale: 0.926449
+Smooth Blend: 0.138573
+Blended Sigma: 2.340789
+Final Sigma: 1.089550
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 14/14]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 14/14]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [11, 12, 13]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250830_041240.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250830_041240.txt
new file mode 100644
index 0000000000000000000000000000000000000000..efd6f3ffb0cd5470d50dccad9e06ea072e120f83
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250830_041240.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 29.9442, 18.1509, 10.6386,  6.0003,  3.2372,  1.6582,  0.7987,  0.3574,  0.1461,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 24.2904, 12.3030,  6.2314,  3.1562,  1.5986,  0.8097,  0.4101,  0.2077,  0.1052,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/11] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/11]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 6/11] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 11/11] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 11/11]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/11] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 11/11] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 29.9442, 18.1509, 10.6386,  6.0003,  3.2372,  1.6582,  0.7987,  0.3574,  0.1461,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 24.2904, 12.3030,  6.2314,  3.1562,  1.5986,  0.8097,  0.4101,  0.2077,  0.1052,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/11]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/11]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 6/11]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 11/11]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 11/11]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [8, 9, 10]
diff --git a/sd_simple_kes_v2_old/image_generation_data/generation_log_20250830_041433.txt b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250830_041433.txt
new file mode 100644
index 0000000000000000000000000000000000000000..efd6f3ffb0cd5470d50dccad9e06ea072e120f83
--- /dev/null
+++ b/sd_simple_kes_v2_old/image_generation_data/generation_log_20250830_041433.txt
@@ -0,0 +1,130 @@
+[Config Validation] Config validated and missing values filled successfully.
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 29.9442, 18.1509, 10.6386,  6.0003,  3.2372,  1.6582,  0.7987,  0.3574,  0.1461,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 24.2904, 12.3030,  6.2314,  3.1562,  1.5986,  0.8097,  0.4101,  0.2077,  0.1052,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+[Prepass First Step - Step 1/11] Blended Sigma: 47.957703, Final Sigma: 53.952412
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/11]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Prepass Middle Step - Step 6/11] Blended Sigma: 3.038314, Final Sigma: 1.531433
+[Prepass Last Step - Step 11/11] Blended Sigma: 0.053286, Final Sigma: 0.005591
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 11/11]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+--- Starting Pre-Pass Blending ---
+
+[Prepass First Step - Step 1/11] Blended Sigma: 47.957703, Final Sigma: 9.689246
+[Prepass Last Step - Step 11/11] Blended Sigma: 0.053286, Final Sigma: 0.005591
+[Randomization] sigma_min: No randomization applied. Using default value: 0.13757067353874633
+[Randomization] sigma_max: No randomization applied. Using default value: 47.95768510805332
+[Randomization] start_blend: No randomization applied. Using default value: 0.08
+[Randomization] end_blend: No randomization applied. Using default value: 0.5
+[Randomization] sharpness: No randomization applied. Using default value: 0.85
+[Randomization] early_stopping_threshold: No randomization applied. Using default value: 0.2
+[Randomization] initial_step_size: No randomization applied. Using default value: 0.9
+[Randomization] final_step_size: No randomization applied. Using default value: 0.2
+[Randomization] initial_noise_scale: No randomization applied. Using default value: 1.25
+[Randomization] final_noise_scale: No randomization applied. Using default value: 0.8
+[Randomization] smooth_blend_factor: No randomization applied. Using default value: 9.426004103284665
+[Randomization] step_size_factor: No randomization applied. Using default value: 0.80814932869181
+[Randomization] noise_scale_factor: No randomization applied. Using default value: 0.8113992828873163
+[Randomization] rho: No randomization applied. Using default value: 7.959565031107985
+Using device: cuda
+[Auto Sigma Min] sigma_min set to 0.05328631678672591 using scale factor 900
+Final sigmas: sigma_min=0.05328631678672591, sigma_max=47.95768510805332
+Generated sigma sequences. Karras: tensor([47.9577, 29.9442, 18.1509, 10.6386,  6.0003,  3.2372,  1.6582,  0.7987,  0.3574,  0.1461,  0.0533], device='cuda:0'), Exponential: tensor([47.9577, 24.2904, 12.3030,  6.2314,  3.1562,  1.5986,  0.8097,  0.4101,  0.2077,  0.1052,  0.0533], device='cuda:0')
+
+--- Starting Final Pass Blending ---
+
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/11]
+Step Size: 0.900000
+Dynamic Blend Factor: 0.080000
+Noise Scale: 1.250000
+Smooth Blend: 0.018726
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[First Step - Step 1/11]
+Step Size: 0.900000
+Blended Sigma: 47.957703
+Final Sigma: 53.952412
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Middle Step - Step 6/11]
+Step Size: 0.530815
+Dynamic Blend Factor: 0.290000
+Noise Scale: 0.949560
+Smooth Blend: 0.121376
+Blended Sigma: 3.038314
+Final Sigma: 1.531433
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 11/11]
+Step Size: 0.161630
+Dynamic Blend Factor: 0.500000
+Noise Scale: 0.649119
+Smooth Blend: 0.500000
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+
+==========
+[Start of Sigma Sequence Logging]
+==========
+[Last Step - Step 11/11]
+Step Size: 0.161630
+Blended Sigma: 0.053286
+Final Sigma: 0.005591
+
+==========
+[End of Sigma Sequence Logging]
+==========
+[Sharpen Mask] Full sharpening applied at steps: [8, 9, 10]
diff --git a/sd_simple_kes_v2_old/kes_config/default_config.yaml b/sd_simple_kes_v2_old/kes_config/default_config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..56d3d0290dd9470d2b40f934995bf949a6cca928
--- /dev/null
+++ b/sd_simple_kes_v2_old/kes_config/default_config.yaml
@@ -0,0 +1,134 @@
+log_save_directory: "modules/sd_simple_kes_v2_old/image_generation_data"
+graph_save_directory: "modules/sd_simple_kes_v2_old/image_generation_data"
+graph_save_enable: true
+
+skip_prepass: false
+device: "cuda" 
+debug: true
+global_randomize: false 
+#
+sigma_scale_factor: 900
+sigma_auto_enabled: true
+sigma_auto_mode: sigma_min # Options: sigma_min, sigma_max
+#
+rho_rand: false
+rho_rand_min: 3.00
+rho_rand_max: 8.00
+rho: 7.959565031107985
+rho_enable_randomization_type: false
+rho_randomization_type: "log"
+rho_randomization_percent: 0.1
+#
+sigma_min_rand: false
+sigma_min_rand_min: 0.001
+sigma_min_rand_max: 0.02
+sigma_min: 0.13757067353874633
+sigma_min_enable_randomization_type: false
+sigma_min_randomization_type:  "asymmetric"
+sigma_min_randomization_percent: 0.2
+#
+sigma_max_rand: false
+sigma_max_rand_min: 15  
+sigma_max_rand_max: 50
+sigma_max: 47.95768510805332
+sigma_max_enable_randomization_type: false
+sigma_max_randomization_type: "log"
+sigma_max_randomization_percent: 0.25
+#
+start_blend_rand: false
+start_blend_rand_min: 0.04
+start_blend_rand_max: 0.11
+start_blend: 0.08
+start_blend_enable_randomization_type: false
+start_blend_randomization_type:  "asymmetric"
+start_blend_randomization_percent: 0.1
+#
+end_blend_rand: false
+end_blend_rand_min: 0.4
+end_blend_rand_max: 0.6
+end_blend: 0.5
+end_blend_enable_randomization_type: false
+end_blend_randomization_type:  "asymmetric"
+end_blend_randomization_percent: 0.2
+#
+sharpness_rand: false
+sharpness_rand_min: 0.75
+sharpness_rand_max: 0.95
+sharpness: 0.85 # Note: Visible changes in image between 2-15. Above 15 - notable differences. At 50+ - poor image quality. sharpness not applied above 0.95
+sharpen_variance_threshold: 0.01
+sharpen_last_n_steps: 10
+sharpen_mode: "full" # Options: last_n, full, both
+sharpness_enable_randomization_type: false
+sharpness_randomization_type:  "asymmetric"
+sharpness_randomization_percent: 0.2
+#
+early_stopping_threshold_rand: false
+early_stopping_threshold_rand_min: 0.001
+early_stopping_threshold_rand_max: 0.02
+early_stopping_threshold: 0.2
+early_stopping_method: sum  # Options: mean, max, sum
+sigma_variance_scale: 0.5   # means 50% of current sigma, increase to reduce false early stopping, try 0.7 or 0.10
+safety_minimum_stop_step: 30 # means won't consider until past this step, consider increasing this to increase minimum steps to process the image
+min_visual_sigma: 35            # Increase from 10 to push later into the denoising sequence
+early_stopping_threshold_enable_randomization_type: false
+early_stopping_threshold_randomization_type: "asymmetric"
+early_stopping_threshold_randomization_percent: 0.2
+#
+step_progress_mode: "linear" # Options supported (default = "linear"), "exponential", "logarithmic", or "sigmoid". If exponential, uses "exp_power"
+exp_power: 2
+#
+initial_step_size_rand: false
+initial_step_size_rand_min: 0.7
+initial_step_size_rand_max: 1.0
+initial_step_size: 0.9
+initial_step_size_enable_randomization_type: false
+initial_step_size_randomization_type: "asymmetric"
+initial_step_size_randomization_percent: 0.2
+#
+final_step_size_rand: false
+final_step_size_rand_min: 0.1
+final_step_size_rand_max: 0.3
+final_step_size: 0.20
+final_step_size_enable_randomization_type: false
+final_step_size_randomization_type:  "asymmetric"
+final_step_size_randomization_percent: 0.2
+#
+step_size_factor_rand: false
+step_size_factor_rand_min: 0.65
+step_size_factor_rand_max: 0.85
+step_size_factor: 0.80814932869181
+step_size_factor_enable_randomization_type: false
+step_size_factor_randomization_type:  "asymmetric"
+step_size_factor_randomization_percent: 0.2
+#
+initial_noise_scale_rand: false
+initial_noise_scale_rand_min: 1.0
+initial_noise_scale_rand_max: 1.5
+initial_noise_scale: 1.25
+initial_noise_scale_enable_randomization_type: false
+initial_noise_scale_randomization_type:  "asymmetric"
+initial_noise_scale_randomization_percent: 0.2
+#
+final_noise_scale_rand: false
+final_noise_scale_rand_min: 0.6
+final_noise_scale_rand_max: 1.0
+final_noise_scale: 0.80
+final_noise_scale_enable_randomization_type: false
+final_noise_scale_randomization_type:  "asymmetric"
+final_noise_scale_randomization_percent: 0.2
+#
+smooth_blend_factor_rand: false
+smooth_blend_factor_rand_min: 6
+smooth_blend_factor_rand_max: 11
+smooth_blend_factor: 9.426004103284665
+smooth_blend_factor_enable_randomization_type: false
+smooth_blend_factor_randomization_type:  "asymmetric"
+smooth_blend_factor_randomization_percent: 0.2
+#
+noise_scale_factor_rand: false
+noise_scale_factor_rand_min: 0.75
+noise_scale_factor_rand_max: 0.95
+noise_scale_factor: 0.8113992828873163
+noise_scale_factor_enable_randomization_type: false
+noise_scale_factor_randomization_type:  "asymmetric"
+noise_scale_factor_randomization_percent: 0.2
\ No newline at end of file
diff --git a/sd_simple_kes_v2_old/plot_sigma_sequence.py b/sd_simple_kes_v2_old/plot_sigma_sequence.py
new file mode 100644
index 0000000000000000000000000000000000000000..9d04c7bc0479bf07f6965b774cce63248c33e2f9
--- /dev/null
+++ b/sd_simple_kes_v2_old/plot_sigma_sequence.py
@@ -0,0 +1,42 @@
+import matplotlib.pyplot as plt
+import numpy as np
+import os
+
+def plot_sigma_sequence(sigs, stopping_index, log_filename, save_directory="modules/sd_simple_kes_v2_old/image_generation_data", show_plot=False):
+        """
+        Plot the sigma sequence and mark the early stopping point.
+
+        Parameters:
+        - sigs: The sigma tensor or numpy array (can be truncated if stopping early).
+        - stopping_index: The step index where early stopping was triggered.
+        - log_filename: The filename of the generation log (used to match the graph name).
+        - save_directory: The folder where the plot should be saved.
+        - show_plot: Set to True to display the plot interactively.
+        """
+
+        # Extract base name to match log filename
+        base_filename = os.path.splitext(os.path.basename(log_filename))[0]
+        graph_filename = f"{base_filename}_sigma_plot.png"
+        graph_path = os.path.join(save_directory, graph_filename)
+
+        # Prepare sigma sequence for plotting
+        sigs_np = sigs.cpu().numpy() if hasattr(sigs, 'cpu') else np.array(sigs)
+        x = np.arange(len(sigs_np))
+
+        # Plotting
+        plt.figure(figsize=(10, 6))
+        plt.plot(x, sigs_np, label='Sigma Sequence', marker='o')
+        plt.axvline(x=stopping_index, color='red', linestyle='--', label=f'Stopping Point: {stopping_index}')
+        plt.xlabel('Step Index')
+        plt.ylabel('Sigma Value')
+        plt.title('Sigma Sequence with Early Stopping Point')
+        plt.legend()
+        plt.grid(True)
+        plt.tight_layout()
+        plt.savefig(graph_path)
+
+        if show_plot:
+            plt.show()
+
+        plt.close()
+        return graph_path
\ No newline at end of file
diff --git a/sd_simple_kes_v2_old/setup.txt b/sd_simple_kes_v2_old/setup.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c2cb8eef71ce6758a248144493b32056f0e0c1b4
--- /dev/null
+++ b/sd_simple_kes_v2_old/setup.txt
@@ -0,0 +1,3 @@
+remove the appended name "_v2" from all files/folders and place into the modules folder of A1111/Forge.
+
+This version is experimental.
diff --git a/sd_simple_kes_v2_old/simple_kes_v2.py b/sd_simple_kes_v2_old/simple_kes_v2.py
new file mode 100644
index 0000000000000000000000000000000000000000..651f16c98a13d6a58986e8ef42390033e6aae5b7
--- /dev/null
+++ b/sd_simple_kes_v2_old/simple_kes_v2.py
@@ -0,0 +1,846 @@
+import torch
+import logging
+from modules.sd_simple_kes_v2_old.get_sigmas import get_sigmas_karras, get_sigmas_exponential 
+from modules.sd_simple_kes_v2_old.validate_config import validate_config
+from modules.sd_simple_kes_v2_old.plot_sigma_sequence import plot_sigma_sequence
+import os
+import yaml
+import random
+from datetime import datetime
+import warnings
+import math
+from typing import Optional
+import json
+import numpy as np
+
+
+
+def simple_kes_scheduler_v2(n: int, sigma_min: float, sigma_max: float, device: torch.device) -> torch.Tensor:
+    scheduler = SimpleKEScheduler(n=n, sigma_min=sigma_min, sigma_max=sigma_max, device=device)
+    return scheduler()
+
+
+    
+class SharedLogger:
+    def __init__(self, debug=False):
+        self.debug = debug
+        self.log_buffer = []
+
+    def log(self, message):
+        if self.debug:
+            self.log_buffer.append(message)
+
+    def dump(self):
+        return "\n".join(self.log_buffer)
+
+    
+class SimpleKEScheduler:
+    """
+    SimpleKEScheduler
+    ------------------
+    A hybrid scheduler that combines Karras-style sigma sampling
+    with exponential decay and blending controls. Supports parameterized
+    customization for use in advanced diffusion pipelines.
+
+    Parameters:
+    - steps (int): Number of inference steps.
+    - device (torch.device): Target device (e.g. 'cuda').
+    - config (dict): Scheduler-specific configuration options.
+
+    Usage:
+        scheduler = SimpleKEScheduler(steps=30, device='cuda', config=config_dict)
+        sigmas = scheduler.get_sigmas()
+    """
+    
+    
+    def __init__(self, n: int, sigma_min: Optional[float] = None, sigma_max: Optional[float] = None, device: torch.device = "cuda", logger=None, **kwargs)->torch.Tensor:         
+        self.steps = n if n is not None else 25         
+        self.device = torch.device(device if isinstance(device, str) else device)        
+        self.sigma_min = sigma_min
+        self.sigma_max = sigma_max
+        
+        self.RANDOMIZATION_TYPE_ALIASES = {
+            'symmetric': 'symmetric', 'sym': 'symmetric', 's': 'symmetric',
+            'asymmetric': 'asymmetric', 'assym': 'asymmetric', 'a': 'asymmetric',
+            'logarithmic': 'logarithmic', 'log': 'logarithmic', 'l': 'logarithmic',
+            'exponential': 'exponential', 'exp': 'exponential', 'e': 'exponential'
+        }
+
+        
+        # Temporarily hold overrides from kwargs
+        self._overrides = kwargs.copy()        
+        self.config_path = os.path.abspath(os.path.normpath(os.path.join("modules", "sd_simple_kes_v2_old", "kes_config", "default_config.yaml")))
+        self.config_data = self.load_config()        
+        self.config = self.config_data.copy()
+        self.settings = self.config.copy() 
+                
+        # Apply overrides from kwargs if present
+        for k, v in self._overrides.items():
+            if k in self.settings:
+                self.settings[k] = v
+                setattr(self, k, v)        
+        
+        self.debug = self.settings.get("debug", False)
+        logger = SharedLogger(debug=self.debug)
+        self.logger=logger
+        self.log = self.logger.log
+        validate_config(self.config, logger=self.logger)
+   
+        for key, value in self.settings.items():            
+            setattr(self, key, value)
+            
+        if self.settings.get("global_randomize", False):
+            self.apply_global_randomization()
+        self.settings = self.settings.copy()        
+        
+        self.re_randomizable_keys = [
+            "sigma_min", "sigma_max", "start_blend", "end_blend", "sharpness",
+            "early_stopping_threshold",
+            "initial_step_size", "final_step_size",
+            "initial_noise_scale", "final_noise_scale",
+            "smooth_blend_factor", "step_size_factor", "noise_scale_factor", "rho"
+        ]
+       
+        for key in self.re_randomizable_keys:
+            value = self.settings.get(key)
+            if value is None:
+                raise KeyError(f"[KEScheduler] Missing required setting: {key}")
+            setattr(self, key, value)   
+        
+        self.initialize_generation_filename()
+    
+
+        
+    def __call__(self):
+        # First pass: Run prepass to determine predicted_stop_step
+        if not self.settings.get('skip_prepass', False):
+            final_steps = self.prepass_compute_sigmas()  
+            sigmas = self.compute_sigmas(final_steps)
+            
+            
+            
+        else:
+           # Build sigma sequence directly (without prepass)
+            #self.config_values()
+            #self.start_sigmas(sigma_min=self.sigma_min, sigma_max=self.sigma_max)
+            #self.generate_sigmas_schedule()            
+            
+            self.blend_sigma_sequence(
+                sigs=self.sigs,
+                sigmas_karras=self.sigmas_karras,
+                sigmas_exponential=self.sigmas_exponential,
+                pre_pass = False
+                
+            )
+            final_steps = n if n is not none else self.steps
+        
+            sigmas = self.compute_sigmas(final_steps)
+       
+        
+        # Safety checks
+        if torch.isnan(sigmas).any():
+            raise ValueError("[SimpleKEScheduler] NaN detected in sigmas")
+        if torch.isinf(sigmas).any():
+            raise ValueError("[SimpleKEScheduler] Inf detected in sigmas")
+        if (sigmas <= 0).all():
+            raise ValueError("[SimpleKEScheduler] All sigma values are <= 0")
+        if (sigmas > 1000).all():
+            raise ValueError("[SimpleKEScheduler] Sigma values are extremely large — might explode the model")
+
+        # Save logs to file
+        self.save_generation_settings()
+        
+        
+        # Return final sigmas to the scheduler caller
+        return sigmas
+
+    def initialize_generation_filename(self, folder=None, base_name="generation_log", ext="txt"):
+        """
+        Initialize the log filename early so it can be used throughout the process.
+        """
+        if folder is None:
+            folder = self.settings.get('log_save_directory', 'modules/sd_simple_kes_v2_old/image_generation_data')
+            folder = os.path.abspath(os.path.normpath(folder))
+
+        os.makedirs(folder, exist_ok=True)
+        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+
+        self.log_filename = os.path.join(folder, f"{base_name}_{timestamp}.{ext}")
+        #return self.log_filename
+
+      
+    def save_generation_settings(self):
+        """
+        Save the generation log with configurable directory, base name, and extension.
+
+        Parameters:
+        - folder (str): Optional custom directory to save the log file.
+        - base_name (str): The base name for the file (default is 'generation_log').
+        - ext (str): The file extension to use (default is 'txt').
+        """        
+
+        with open(self.log_filename, "w", encoding = 'utf-8') as f:
+            for line in self.logger.log_buffer:
+                f.write(f"{line}\n")
+
+        self.log(f"[SimpleKEScheduler] Generation log saved to {self.log_filename}")
+        self.logger.log_buffer.clear() 
+    
+    def load_config(self):
+        try:
+            with open(self.config_path, 'r', encoding = 'utf-8') as f:
+                user_config = yaml.safe_load(f)
+                return user_config
+        except FileNotFoundError:
+            self.log(f"Config file not found: {self.config_path}. Using empty config.")
+            return {}
+        except yaml.YAMLError as e:
+            self.log(f"Error loading config file: {e}")
+            return {}
+    
+    def apply_global_randomization(self):
+        """Force randomization for all eligible settings by enabling _rand flags and re-randomizing values."""
+
+        # First pass: turn on all _rand flags if corresponding _rand_min/_rand_max exists
+        for key in list(self.settings.keys()):
+            if key.endswith("_rand_min") or key.endswith("_rand_max"):
+                base_key = key.rsplit("_rand_", 1)[0]
+                rand_flag_key = f"{base_key}_rand"
+                self.settings[rand_flag_key] = True
+        
+
+        # Step 2: If global_randomize is active, re-randomize all eligible keys
+        if self.settings.get("global_randomize", False):           
+            if key not in self.settings:
+                raise KeyError(f"[apply_global_randomization] Missing required key: {key}")
+
+            default_val = self.settings[key]
+            randomized_val = self.get_random_or_default(key, default_val)
+            self.settings[key] = randomized_val
+            setattr(self, key, randomized_val)  
+   
+    def get_randomization_type(self, key_prefix):
+        """
+        Retrieves the randomization type for a given key, with fallback to 'asymmetric' if missing.
+        """
+        randomization_type_raw = self.settings.get(f'{key_prefix}_randomization_type', 'asymmetric')
+        randomization_type = self.RANDOMIZATION_TYPE_ALIASES.get(randomization_type_raw.lower(), 'asymmetric')
+        return randomization_type
+
+    def get_randomization_percent(self, key_prefix):
+        """
+        Retrieves the randomization percent for a given key, with fallback to 0.2 if missing.
+        """
+        return self.settings.get(f'{key_prefix}_randomization_percent', 0.2)
+
+   
+    def get_random_between_min_max(self, key_prefix, default_value):
+        """
+        Picks a random value between _rand_min and _rand_max if _rand is True.
+        Otherwise, returns the base value.
+        """
+        randomize_flag = self.settings.get(f'{key_prefix}_rand', False)
+
+        if randomize_flag:
+            rand_min = self.settings.get(f'{key_prefix}_rand_min', default_value)
+            rand_max = self.settings.get(f'{key_prefix}_rand_max', default_value)
+
+            if rand_min == rand_max:
+                self.log(f"[Random Range] {key_prefix}: min and max are equal ({rand_min}). Using single value.")
+                return rand_min
+
+            value = random.uniform(rand_min, rand_max)
+            self.log(f"[Random Range] {key_prefix}: Picked random value {value} between {rand_min} and {rand_max}")
+            return value
+        else:
+            self.log(f"[Random Range] {key_prefix}: Randomization is OFF. Using base value {default_value}")
+            return default_value
+
+    def get_random_by_type(self, key_prefix, default_value):
+        randomization_enabled = self.settings.get(f'{key_prefix}_enable_randomization_type', False)
+
+        if not randomization_enabled:
+            self.log(f"[Randomization Type] {key_prefix}: Randomization type is OFF. Using base value {default_value}")
+            return default_value
+
+        randomization_type = self.get_randomization_type(key_prefix)
+        randomization_percent = self.get_randomization_percent(key_prefix)
+
+        if randomization_type == 'symmetric':
+            rand_min = default_value * (1 - randomization_percent)
+            rand_max = default_value * (1 + randomization_percent)
+            self.log(f"[Symmetric Randomization] {key_prefix}: Range {rand_min} to {rand_max}")
+            
+
+        elif randomization_type == 'asymmetric':
+            rand_min = default_value * (1 - randomization_percent)
+            rand_max = default_value * (1 + (randomization_percent * 2))
+            self.log(f"[Asymmetric Randomization] {key_prefix}: Range {rand_min} to {rand_max}")
+
+        elif randomization_type == 'logarithmic':
+            rand_min = math.log(default_value * (1 - randomization_percent))
+            rand_max = math.log(default_value * (1 + randomization_percent))
+            value = math.exp(random.uniform(rand_min, rand_max))
+            self.log(f"[Logarithmic Randomization] {key_prefix}: Log-space randomization resulted in {value}")
+            return value
+
+        elif randomization_type == 'exponential':
+            rand_min = default_value * (1 - randomization_percent)
+            rand_max = default_value * (1 + randomization_percent)
+            base_value = random.uniform(rand_min, rand_max)
+            value = math.exp(base_value)
+            self.log(f"[Exponential Randomization] {key_prefix}: Randomized exponential value {value}")
+            return value
+
+        else:
+            self.log(f"[Randomization Type] {key_prefix}: Invalid randomization type {randomization_type}. Using base value.")
+            return default_value
+
+        value = random.uniform(rand_min, rand_max)
+        
+        self.log(f"[Randomization Type] {key_prefix}: Randomized value {value}")
+        return value
+
+    def get_random_or_default(self, key_prefix, default_value):
+        """
+        Selects randomization method based on active flags:
+            - If both enabled → prioritize randomization type (or min/max if you prefer).
+            - If only one enabled → apply that one.
+            - If neither → return default value.
+        """
+        rand_type_enabled = self.settings.get(f'{key_prefix}_enable_randomization_type', False)
+        min_max_enabled = self.settings.get(f'{key_prefix}_rand', False)
+
+        if rand_type_enabled and min_max_enabled:
+            self.log(f"[Randomization Policy] Both min/max and randomization type enabled for {key_prefix}. System will prioritize randomization type.")
+            result_value = self.get_random_by_type(key_prefix, default_value)
+
+        elif rand_type_enabled:
+            result_value = self.get_random_by_type(key_prefix, default_value)
+            self.log(f"[Randomization] {key_prefix}: Applied randomization type. Final value: {result_value}")
+
+        elif min_max_enabled:
+            result_value = self.get_random_between_min_max(key_prefix, default_value)
+            self.log(f"[Randomization] {key_prefix}: Applied min/max randomization. Final value: {result_value}")
+
+        else:
+            result_value = default_value
+            self.log(f"[Randomization] {key_prefix}: No randomization applied. Using default value: {result_value}")
+
+        return result_value
+
+    def start_sigmas(self, sigma_min, sigma_max):
+        """Ensures sigma_min is always less than sigma_max for edge cases"""
+       
+        if sigma_min >= sigma_max:
+            correction_factor = random.uniform(0.01, 0.99)
+            old_sigma_min = sigma_min
+            sigma_min = sigma_max * correction_factor
+            self.log(f"[Correction] sigma_min ({old_sigma_min}) was >= sigma_max ({sigma_max}). Adjusted sigma_min to {sigma_min} using correction factor {correction_factor}.")
+
+        self.log(f"Final sigmas: sigma_min={sigma_min}, sigma_max={sigma_max}")
+        return sigma_min, sigma_max
+    
+
+
+    def blend_sigma_sequence(self, sigs, sigmas_karras, sigmas_exponential, pre_pass=False):
+        self.progress = torch.linspace(0, 1, len(sigmas_karras)).to(self.device)
+        self.blended_sigmas = []
+        self.change_log = []
+        
+        # === Final Pass ===
+        self.log("\n--- Starting Final Pass Blending ---\n")
+        for i in range(len(sigmas_karras)):
+            if self.step_progress_mode == "linear":
+                progress_value = self.progress[i]
+            elif self.step_progress_mode == "exponential":
+                progress_value = self.progress[i] ** self.settings.get("exp_power", 2)
+            elif self.step_progress_mode == "logarithmic":
+                progress_value = torch.log1p(self.progress[i] * (torch.exp(torch.tensor(1.0)) - 1))
+            elif self.step_progress_mode == "sigmoid":
+                progress_value = 1 / (1 + torch.exp(-12 * (self.progress[i] - 0.5)))
+            else:
+                progress_value = self.progress[i]  # Fallback to linear (previous version used)            
+            self.step_size = self.initial_step_size * (1 - progress_value) + self.final_step_size * progress_value * self.step_size_factor
+            if i == 0:
+                step_label = "First Step"
+            elif i == len(sigmas_karras) // 2:
+                step_label = "Middle Step"
+            elif i == len(sigmas_karras) - 1:
+                step_label = "Last Step"
+            else:
+                step_label = None
+            
+            dynamic_blend_factor = self.start_blend * (1 - self.progress[i]) + self.end_blend * self.progress[i]
+            smooth_blend = torch.sigmoid((dynamic_blend_factor - 0.5) * self.smooth_blend_factor)            
+            noise_scale = self.initial_noise_scale * (1 - self.progress[i]) + self.final_noise_scale * self.progress[i] * self.noise_scale_factor                        
+            blended_sigma = sigmas_karras[i] * (1 - smooth_blend) + sigmas_exponential[i] * smooth_blend
+            
+
+            sigs[i] = blended_sigma * self.step_size * noise_scale
+            self.blended_sigmas.append(blended_sigma.item())
+            
+            if step_label:
+                if not pre_pass:  # Only log detailed steps in the final pass
+                    self.log("\n" + "=" * 10 + "\n[Start of Sigma Sequence Logging]\n" + "=" * 10)
+                    self.log(f"[{step_label} - Step {i+1}/{len(sigmas_karras)}]"
+                             f"\nStep Size: {self.step_size:.6f}"
+                             f"\nDynamic Blend Factor: {dynamic_blend_factor:.6f}"
+                             f"\nNoise Scale: {noise_scale:.6f}"
+                             f"\nSmooth Blend: {smooth_blend:.6f}"
+                             f"\nBlended Sigma: {blended_sigma:.6f}"
+                             f"\nFinal Sigma: {sigs[i]:.6f}")
+                    self.log("\n" + "=" * 10 + "\n[End of Sigma Sequence Logging]\n" + "=" * 10)
+
+                elif pre_pass:  # Optional: Log a simple summary in the prepass
+                    self.log(f"[Prepass {step_label} - Step {i+1}/{len(sigmas_karras)}] "
+                             f"Blended Sigma: {blended_sigma:.6f}, Final Sigma: {sigs[i]:.6f}")
+            
+            if i == 0:
+                step_label = "First Step"
+            elif i == len(sigmas_karras) - 1:
+                step_label = "Last Step"
+            else:
+                step_label = None
+
+            if step_label:
+                self.log("\n" + "=" * 10 + "\n[Start of Sigma Sequence Logging]\n" + "=" * 10)
+                self.log(f"[{step_label} - Step {i+1}/{len(sigmas_karras)}]"
+                         f"\nStep Size: {self.step_size:.6f}"
+                         f"\nBlended Sigma: {blended_sigma:.6f}"
+                         f"\nFinal Sigma: {sigs[i]:.6f}")
+                self.log("\n" + "=" * 10 + "\n[End of Sigma Sequence Logging]\n" + "=" * 10)
+
+            if i > 0:
+                self.change = torch.abs(sigs[i] - sigs[i - 1])
+                self.change_log.append(self.change.item())
+
+            # Early Stopping Evaluation
+            if i > self.safety_minimum_stop_step and len(self.change_log) > 5:
+                #relative_sigma_progress = (blended_sigma - self.sigs[-1].item()) / blended_sigma                
+                final_target_sigma = sigmas_karras[-1].item()  # or use min(self.sigmas) if preferred
+                #relative_sigma_progress = (blended_sigma - final_target_sigma) / blended_sigma  
+                if blended_sigma != 0:
+                    relative_sigma_progress = (blended_sigma - final_target_sigma) / blended_sigma
+                else:
+                    relative_sigma_progress = 0  # Assume fully converged if blended_sigma is 0                
+                
+
+                # Optional: Show variance but no need to stop on it
+                self.sigma_variance = torch.var(sigs).item() if self.device != 'cpu' else np.var(self.blended_sigmas)
+                self.log(f"Sigma Variance: {self.sigma_variance:.6f}")
+                
+                
+                
+        
+        if pre_pass:
+            self.log("\n--- Starting Pre-Pass Blending ---\n")
+            for i in range(len(sigmas_karras)):                   
+                dynamic_blend_factor = self.start_blend * (1 - self.progress[i]) + self.end_blend * self.progress[i]
+                smooth_blend = torch.sigmoid((dynamic_blend_factor - 0.5) * self.smooth_blend_factor)
+                noise_scale = self.initial_noise_scale * (1 - self.progress[i]) + self.final_noise_scale * self.progress[i] * self.noise_scale_factor                
+                self.blended_sigma = sigmas_karras[i] * (1 - smooth_blend) + sigmas_exponential[i] * smooth_blend
+                sigs[i] = self.blended_sigma * self.step_size * noise_scale
+                self.blended_sigmas.append(self.blended_sigma.item())
+
+                if i >= 2:
+                    sigma_rate = abs(self.blended_sigmas[i] - self.blended_sigmas[i - 1])
+                    previous_sigma_rate = abs(self.blended_sigmas[i - 1] - self.blended_sigmas[i - 2])
+                    if sigma_rate > previous_sigma_rate:
+                        self.log(f"Sigma decline is slowing down → possible plateau at step {i+1}.")
+
+                if i == 0:
+                    step_label = "Prepass First Step"
+                elif i == len(sigmas_karras) - 1:
+                    step_label = "Prepass Last Step"
+                else:
+                    step_label = None
+
+                if step_label:
+                    self.log(f"[{step_label} - Step {i+1}/{len(sigmas_karras)}] Blended Sigma: {self.blended_sigma:.6f}, Final Sigma: {sigs[i]:.6f}")
+                if i >= 2:
+                        sigma_rate = abs(self.blended_sigmas[i] - self.blended_sigmas[i - 1])
+                        previous_sigma_rate = abs(self.blended_sigmas[i - 1] - self.blended_sigmas[i - 2])
+
+                        if sigma_rate > previous_sigma_rate:
+                            self.log(f"Sigma decline is slowing down → possible plateau.")
+                if i > 0:
+                    self.change = torch.abs(sigs[i] - sigs[i - 1])
+                    self.change_log.append(self.change.item())
+                    relative_sigma_progress = (self.blended_sigma - sigs[-1].item()) / self.blended_sigma                                
+                    recent_changes = torch.abs(torch.tensor(self.change_log[-5:]))
+                    max_change = torch.max(recent_changes).item()                        
+                    mean_change = torch.mean(recent_changes).item()
+                    percent_of_threshold = (max_change / self.early_stopping_threshold) * 100                                        
+                    delta_change = abs(max_change - mean_change)
+
+                    
+                    # Check 1: Relative sigma progress
+                    relative_converged = relative_sigma_progress < 0.05
+                    # Check 2: Max recent sigma change
+                    max_converged = max_change < self.early_stopping_threshold
+                    # Check 3: Max-mean difference converged
+                    delta_converged = delta_change < self.settings.get('recent_change_convergence_delta', 0.02)
+
+                    
+                # Start checking for early stopping after minimum steps
+                if i > self.safety_minimum_stop_step and len(self.change_log) > 10:                  
+                    # Calculate variance and dynamic threshold
+                    self.blended_tensor = torch.tensor(self.blended_sigmas) 
+                    if self.device == 'cpu':
+                        self.sigma_variance = np.var(self.blended_sigmas)
+                    else: 
+                        self.sigma_variance = torch.var(sigs).item()
+
+
+                    self.min_sigma_threshold = self.sigma_variance * self.settings.get('sigma_variance_scale', 0.05)  # scale factor can be tuned
+
+                    self.log(f"\n--- Early Stopping Evaluation at Step {i+1} ---")
+                    self.log(f"Current Blended Sigma: {self.blended_sigma:.6f}")
+                    self.log(f"Sigma Variance: {self.sigma_variance:.6f}")
+                    self.log(f"Min Sigma Threshold: {self.min_sigma_threshold:.6f} (Scale: {self.settings.get('sigma_variance_scale', 0.05)})")
+                    self.log(f"Visual Sigma: {self.visual_sigma:.6f} (Config: min_visual_sigma={self.settings.get('min_visual_sigma', 10)})")
+                    self.log(f"Early Stopping Threshold: {self.early_stopping_threshold:.6f} (Config Method: {self.early_stopping_method})")
+                    self.log(f"Safety Minimum Stop Step: {self.safety_minimum_stop_step}")
+                    self.log(f"Config: early_stopping_threshold_rand: {self.settings.get('early_stopping_threshold_rand', False)}, early_stopping_threshold_rand_min: {self.settings.get('early_stopping_threshold_rand_min', 0.001)}, early_stopping_threshold_rand_max: {self.settings.get('early_stopping_threshold_rand_max', 0.02)}")
+
+                    # Reason for continuing (sigma still too high)
+                    if self.blended_sigma > self.min_sigma_threshold:
+                        self.log(f"Blended Sigma {self.blended_sigma:.6f} exceeds min sigma threshold {self.min_sigma_threshold:.6f} → Continuing.\n")
+                        
+                    
+                    # Start Early Stopping Checks
+                    
+                    if self.early_stopping_method == "mean":
+                        mean_change = sum(self.change_log) / len(self.change_log)
+                        if mean_change < self.early_stopping_threshold:
+                            skipped_steps = len(sigmas_karras) - (i + 1)
+                            self.log(f"Early stopping triggered by mean at step {i}. Mean change: {mean_change:.6f}. Steps used: {i + 1}/{len(sigmas_karras)}, steps skipped: {skipped_steps}")  
+
+                    elif self.early_stopping_method == "max":
+                        #max_change = max(self.change_log)
+                        if max_change < self.early_stopping_threshold:
+                            skipped_steps = len(sigmas_karras) - (i + 1)
+                            self.log(f"Early stopping triggered by mean at step {i}. Mean change: {max_change:.6f}. Steps used: {i + 1}/{len(sigmas_karras)}, steps skipped: {skipped_steps}")  
+                            
+                    elif self.early_stopping_method == "sum":
+                        stable_steps = sum(
+                            1 for j in range(1, len(self.change_log))
+                            if abs(self.change_log[j]) < self.early_stopping_threshold * abs(sigs[j])
+                        )
+
+                        if stable_steps >= 0.8 * len(self.change_log):
+                            skipped_steps = len(sigmas_karras) - (i + 1)
+                            self.log(f"Early stopping triggered by sum at step {i}. Stable steps: {stable_steps}/{len(self.change_log)}. Steps used: {i + 1}/{len(sigmas_karras)}, steps skipped: {skipped_steps}")
+              
+                                   
+                   
+                    if relative_converged and max_converged and delta_converged:     
+                        self.log(f"\n--- Early Stopping Evaluation at Step {i+1} ---")
+                        self.log(f"Relative Sigma Progress: {relative_sigma_progress:.6f}")
+                        self.log(f"Max Recent Sigma Change: {max_change:.6f}")
+                        self.log(f"Mean Recent Sigma Change: {mean_change:.6f}")
+                        self.log(f"Delta Change: {delta_change:.6f} (Target: {self.settings.get('recent_change_convergence_delta', 0.02)})")                        
+                        self.log(f"Early stopping criteria met at step {i+1} based on all convergence checks.")
+                        self.predicted_stop_step = i
+
+                        if self.settings.get('graph_save_enable', False):                        
+                            graph_plot = plot_sigma_sequence(
+                                sigs[:i + 1],
+                                i,
+                                self.log_filename,
+                                self.graph_save_directory,
+                                self.settings.get('graph_save_enable', False)
+                            )
+                            self.log(f"Sigma sequence plot saved to {graph_plot}")
+                        break                       
+                                             
+
+            return sigs[:self.predicted_stop_step + 1]  # Return only the usable sequence
+
+
+        return sigs
+
+    '''
+    def blend_sigma_sequence(self, sigs, sigmas_karras, sigmas_exponential, pre_pass = False):
+        """
+        Computes the blended sigma sequence using adaptive step sizes, dynamic blend factors, 
+        and noise scaling across the progress of the diffusion process.
+
+        This method blends sigma values from the Karras and Exponential schedules using 
+        a smooth, progress-dependent interpolation. It applies adaptive scaling based on 
+        step size and noise scale factors to each sigma in the sequence.
+
+        Parameters:
+        -----------
+        sigs : torch.Tensor
+            A pre-allocated tensor where the computed sigma sequence will be stored. 
+            This tensor must match the shape of the sigma schedules.
+        
+        sigmas_karras : torch.Tensor
+            The sigma sequence generated using the Karras schedule.
+        
+        sigmas_exponential : torch.Tensor
+            The sigma sequence generated using the Exponential schedule.
+
+        Returns:
+        --------
+        sigs : torch.Tensor
+            The final blended and scaled sigma sequence.
+
+        Notes:
+        ------
+        - This method is used in both the prepass and final pass of the scheduler.
+        - The progress tensor is computed linearly from 0 to 1 over the length of the sequence.
+        - The method uses class attributes for step size factors, blend factors, and noise scaling.
+        - This method modifies `sigs` in place.
+        """        
+    '''
+    def generate_sigmas_schedule(self):
+        """
+        Generates the sigma schedules required for the hybrid blending process.
+
+        The Karras and Exponential sigma sequences are created to provide two distinct 
+        noise scaling strategies:
+        - The Karras sequence offers a more aggressive noise decay, commonly used in 
+          modern schedulers for improved image quality and denoising stability.
+        - The Exponential sequence provides a traditional log-space noise schedule.
+
+        These two sequences are dynamically blended in later steps using progress-dependent 
+        weights to produce a custom sigma path that combines the advantages of both approaches.
+
+        This blending process is critical to the scheduler's ability to:
+        - Adapt noise scaling across steps.
+        - Control the sharpness and smoothness of transitions.
+        - Support early stopping based on sigma convergence patterns.
+
+        These sigma sequences must be regenerated in both the prepass (for early stopping detection) 
+        and the final pass (for polished sigma application), ensuring both passes are synchronized 
+        with the current step count and randomization settings.
+        """
+
+        
+        self.sigmas_karras = get_sigmas_karras(n=self.steps, sigma_min=self.sigma_min, sigma_max=self.sigma_max, rho=self.rho, device=self.device)[:self.steps]
+        self.sigmas_exponential = get_sigmas_exponential(n=self.steps, sigma_min=self.sigma_min, sigma_max=self.sigma_max, device=self.device)
+        target_length = min(len(self.sigmas_karras), len(self.sigmas_exponential))  
+        self.sigmas_karras = self.sigmas_karras[:target_length]
+        self.sigmas_exponential = self.sigmas_exponential[:target_length]
+                  
+        self.log(f"Generated sigma sequences. Karras: {self.sigmas_karras}, Exponential: {self.sigmas_exponential}")
+        
+        if self.sigmas_karras is None:
+            raise ValueError(f"Sigmas Karras:{self.sigmas_karras} Failed to generate or assign sigmas correctly.")
+        if self.sigmas_exponential is None:    
+            raise ValueError(f"Sigmas Exponential: {self.sigmas_exponential} Failed to generate or assign sigmas correctly.")
+            self.sigmas_karras = torch.zeros(self.steps).to(self.device)
+            self.sigmas_exponential = torch.zeros(self.steps).to(self.device)   
+        try:
+            pass
+        except Exception as e:
+            self.log(f"Error generating sigmas: {e}") 
+            
+        if len(self.sigmas_karras) < len(self.sigmas_exponential):
+            # Pad `sigmas_karras` with the last value
+            padding_karras = torch.full((len(self.sigmas_exponential) - len(self.sigmas_karras),), self.sigmas_karras[-1]).to(self.sigmas_karras.self.device)
+            self.sigmas_karras = torch.cat([self.sigmas_karras, padding_karras])
+        elif len(self.sigmas_karras) > len(self.sigmas_exponential):
+            # Pad `sigmas_exponential` with the last value
+            padding_exponential = torch.full((len(self.sigmas_karras) - len(self.sigmas_exponential),), self.sigmas_exponential[-1]).to(self.sigmas_exponential.device)
+            self.sigmas_exponential = torch.cat([self.sigmas_exponential, padding_exponential])
+ 
+        # Now it's safe to compute sigmas
+        start = math.log(self.sigma_max)
+        end = math.log(self.sigma_min)
+        self.sigmas = torch.linspace(start, end, self.steps, device=self.device).exp()       
+
+        # Ensure sigmas contain valid values before using them
+        if torch.any(self.sigmas > 0):  
+            self.sigma_min, self.sigma_max = self.sigmas[self.sigmas > 0].min(), self.sigmas.max()            
+        else:
+            # If sigmas are all invalid, set a safe fallback
+            self.sigma_min, self.sigma_max = self.min_threshold, self.min_threshold              
+            self.log(f"Debugging Warning: No positive sigma values found! Setting fallback sigma_min={self.sigma_min}, sigma_max={self.sigma_max}")
+         
+    
+    def config_values(self):        
+            
+        self.sharpen_mode = self.settings.get('sharpen_mode', 'full')
+        
+        if self.sigma_auto_enabled:
+            if self.sigma_auto_mode not in ["sigma_min", "sigma_max"]:
+                raise ValueError(f"[Config Error] Invalid sigma_auto_mode: {self.sigma_auto_mode}. Must be 'sigma_min' or 'sigma_max'.")
+
+            if self.sigma_auto_mode == "sigma_min":
+                self.sigma_min = self.sigma_max / self.sigma_scale_factor
+                self.log(f"[Auto Sigma Min] sigma_min set to {self.sigma_min} using scale factor {self.sigma_scale_factor}")
+
+            elif self.sigma_auto_mode == "sigma_max":
+                self.sigma_max = self.sigma_min * self.sigma_scale_factor
+                self.log(f"[Auto Sigma Max] sigma_max set to {self.sigma_max} using scale factor {self.sigma_scale_factor} and using a multiplier of {sigma_max_multipier} to account for smoother transitions")
+
+        # Always apply min_threshold AFTER auto scaling
+        self.min_threshold = random.uniform(1e-5, 5e-5)
+
+        if self.sigma_min < self.min_threshold:
+            self.log(f"[Threshold Enforcement] sigma_min was too low: {self.sigma_min} < min_threshold {self.min_threshold}")
+            self.sigma_min = self.min_threshold
+
+        if self.sigma_max < self.min_threshold:
+            self.log(f"[Threshold Enforcement] sigma_max was too low: {self.sigma_max} < min_threshold {self.min_threshold}")
+            self.sigma_max = self.min_threshold
+        
+        self.early_stopping_method = self.settings.get("early_stopping_method", "mean")
+        valid_methods = ['mean', 'max', 'sum']
+        if self.early_stopping_method not in valid_methods:
+            self.log(f"[Config Correction] Invalid early_stopping_method: {self.early_stopping_method}. Defaulting to 'mean'.")
+            self.early_stopping_method = 'mean'
+       
+        
+            
+    
+    def prepass_compute_sigmas(self)->torch.Tensor:           
+       
+        if self.steps is None:
+            raise ValueError("Number of steps must be provided.")
+        if isinstance(self.device, str):
+            self.device = torch.device(self.device)
+
+        self.config_values()
+        self.start_sigmas(sigma_min=self.sigma_min, sigma_max=self.sigma_max)
+        self.generate_sigmas_schedule()
+        self.sigs = torch.zeros_like(self.sigmas_karras).to(self.device) 
+        
+        
+        self.predicted_stop_step = self.steps - 1  # Default to full length if not stopped
+
+        # Reset tracking variables
+        self.change_log = []
+       
+       
+
+        self.sigma_variance_threshold = self.settings.get('sharpen_variance_threshold', 0.01)
+         
+        self.N = self.settings.get('sharpen_last_n_steps', 10)
+        if self.N > len(self.sigs):
+            self.N = len(self.sigs)
+            self.log(f"[Sharpening Notice] Requested last {self.N} steps exceeds sequence length. Using entire sequence instead.")
+        
+       
+        self.min_visual_sigma = self.settings.get('min_visual_sigma', 10)
+        self.visual_sigma = max(0.8, self.sigma_min * self.min_visual_sigma)
+        self.safety_minimum_stop_step = self.settings.get('safety_minimum_stop_step', 10)
+        
+                
+        self.blend_sigma_sequence(sigs = self.sigs, sigmas_karras=self.sigmas_karras, sigmas_exponential=self.sigmas_exponential, pre_pass = True)
+        self.sigs = torch.zeros_like(self.sigmas_karras).to(self.device) 
+        
+        
+        
+
+        if torch.isnan(self.sigs).any() or torch.isinf(self.sigs).any():
+            raise ValueError("Invalid sigma values detected (NaN or Inf).")
+
+        final_steps = self.sigs[:self.predicted_stop_step + 1].to(self.device)
+        
+        return final_steps
+    
+     
+            
+        
+    def compute_sigmas(self, final_steps)->torch.Tensor:  
+        acceptable_keys = [
+                    "sigma_min", "sigma_max", "start_blend", "end_blend", "sharpness",
+                    "early_stopping_threshold", "initial_step_size",
+                    "final_step_size", "initial_noise_scale", "final_noise_scale",
+                    "smooth_blend_factor", "step_size_factor", "noise_scale_factor", "rho"
+                ]
+
+        for key in acceptable_keys:
+            default_val = self.settings[key]
+            value = self.get_random_or_default(key, default_val)
+            setattr(self, key, value)     
+            
+        self.log(f"Using device: {self.device}")
+        
+        if self.steps is None:
+            raise ValueError("Number of steps must be provided.")
+        if isinstance(self.device, str):
+            self.device = torch.device(self.device)
+
+        """
+        Scheduler function that blends sigma sequences using Karras and Exponential methods with adaptive parameters.
+
+        Parameters:
+            n (int): Number of steps.
+            sigma_min (float): Minimum sigma value.
+            sigma_max (float): Maximum sigma value.
+            device (torch.device): The device on which to perform computations (e.g., 'cuda' or 'cpu').
+            start_blend (float): Initial blend factor for dynamic blending.
+            end_bend (float): Final blend factor for dynamic blending.
+            sharpen_factor (float): Sharpening factor to be applied adaptively.
+            early_stopping_threshold (float): Threshold to trigger early stopping.            
+            initial_step_size (float): Initial step size for adaptive step size calculation.
+            final_step_size (float): Final step size for adaptive step size calculation.
+            initial_noise_scale (float): Initial noise scale factor.
+            final_noise_scale (float): Final noise scale factor.
+            step_size_factor: Adjust to compensate for oversmoothing
+            noise_scale_factor: Adjust to provide more variation
+            
+        Returns:
+            torch.Tensor: A tensor of blended sigma values.
+        """                  
+         
+        self.steps = len(final_steps)       
+        
+        self.config_values()
+        self.start_sigmas(sigma_min=self.sigma_min, sigma_max=self.sigma_max)
+        self.generate_sigmas_schedule()        
+        
+        self.sigs = torch.zeros_like(self.sigmas_karras).to(self.device) 
+        self.blend_sigma_sequence(sigs=self.sigs, sigmas_karras=self.sigmas_karras, sigmas_exponential=self.sigmas_exponential, pre_pass = False)
+        '''
+        if self.device == 'cpu':
+            self.sigma_variance = np.var(self.blended_sigmas)
+            #self.sigma_variance = np.var(self.sigs.cpu().numpy())
+        else: 
+            self.sigma_variance = torch.var(self.sigs).item()
+        '''
+        self.sigma_variance = torch.var(self.sigs).item()
+        
+        #self.log(f"[Sigma Variance] Calculated variance in final pass: {self.sigma_variance:.6f}")
+        
+        if self.sharpen_mode in ['last_n', 'both']:
+            if self.sigma_variance < self.sigma_variance_threshold:
+                # Apply full sharpening
+                self.sharpen_mask = torch.where(self.sigs < self.sigma_min * 1.5, self.sharpness, 1.0).to(self.device)
+                sharpen_indices = torch.where(self.sharpen_mask < 1.0)[0].tolist()
+                self.sigs = self.sigs * self.sharpen_mask
+                self.log(f"[Sharpen Mask] Full sharpening applied (low variance). Steps: {sharpen_indices}")
+
+            else:
+                # Apply sharpening only to the last N steps
+                recent_sigs = self.sigs[-self.N:]
+                sharpen_mask = torch.where(recent_sigs < self.sigma_min * 1.5, self.sharpness, 1.0).to(self.device)
+                sharpen_indices = torch.where(sharpen_mask < 1.0)[0].tolist()
+                self.sigs[-self.N:] = recent_sigs * sharpen_mask
+
+                # Now loop per step if desired (safely inside this block)
+                for j in range(len(self.sigs) - self.N, len(self.sigs)):
+                    if self.sigs[j] < self.sigma_min * 1.5:
+                        old_value = self.sigs[j].item()
+                        self.sigs[j] = self.sigs[j] * self.sharpness
+                        self.log(f"[Sharpening] Step {j+1}: Applied sharpening. Sigma changed from {old_value:.6f} to {self.sigs[j].item():.6f}")
+                    else:
+                        self.log(f"[Sharpening] Step {j+1}: No sharpening applied. Sigma: {self.sigs[j].item():.6f}")
+
+        if self.sharpen_mode in ['full', 'both']:
+            # Optional: Additional full sharpening (if needed)
+            self.sharpen_mask = torch.where(self.sigs < self.sigma_min * 1.5, self.sharpness, 1.0).to(self.device)
+            sharpen_indices = torch.where(self.sharpen_mask < 1.0)[0].tolist()
+            self.sigs = self.sigs * self.sharpen_mask
+            self.log(f"[Sharpen Mask] Full sharpening applied at steps: {sharpen_indices}")
+
+        
+        
+
+        return self.sigs.to(self.device)
diff --git a/sd_simple_kes_v2_old/validate_config.py b/sd_simple_kes_v2_old/validate_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..88f0f0f2f0ca7ffb080a143a056808727c6166d1
--- /dev/null
+++ b/sd_simple_kes_v2_old/validate_config.py
@@ -0,0 +1,88 @@
+from typing import Optional, Dict, Any
+
+RANDOMIZATION_TYPE_ALIASES = {
+    # Asymmetric
+    'asymmetric': 'asymmetric', 'assym': 'asymmetric', 'a': 'asymmetric', 'asym': 'asymmetric', 'A': 'asymmetric',
+    # Symmetric
+    'symmetric': 'symmetric', 'sym': 'symmetric', 's': 'symmetric', 'S': 'symmetric',
+    # Logarithmic
+    'logarithmic': 'logarithmic', 'log': 'logarithmic', 'l': 'logarithmic', 'L': 'logarithmic',
+    # Exponential
+    'exponential': 'exponential', 'exp': 'exponential', 'e': 'exponential', 'E': 'exponential',
+}
+
+DEFAULT_RANDOMIZATION_TYPE = 'asymmetric'
+DEFAULT_RANDOMIZATION_PERCENT = 0.2
+
+# Base default values
+BASE_DEFAULTS = {
+    'sigma_min': 0.05,
+    'sigma_max': 27.5,
+    'start_blend': 0.1,
+    'end_blend': 0.5,
+    'sharpness': 1.0,
+    'early_stopping_threshold': 0.01,
+    'initial_step_size': 0.9,
+    'final_step_size': 0.2,
+    'initial_noise_scale': 1.25,
+    'final_noise_scale': 0.8,
+    'smooth_blend_factor': 9.0,
+    'step_size_factor': 0.8,
+    'noise_scale_factor': 0.8,
+    'rho': 8.0
+}
+
+def validate_config(config: Dict[str, Any], logger: Optional[Any] = None) -> Dict[str, Any]:
+    updated_config = config.copy()
+
+    def log(message):
+        if logger:
+            logger.log(message)
+        else:
+            print(message)
+
+    # Step 1: Set all base defaults if missing
+    for key, base_value in BASE_DEFAULTS.items():
+        if key not in updated_config:
+            updated_config[key] = base_value
+            log(f"[Config Correction] {key} missing. Set to base default: {base_value}")
+
+        # Ensure _rand flag exists and is a boolean
+        rand_flag = f"{key}_rand"
+        if rand_flag not in updated_config or not isinstance(updated_config.get(rand_flag), bool):
+            updated_config[rand_flag] = False
+            log(f"[Config Correction] {rand_flag} missing or invalid. Set to False.")
+
+        # Ensure _enable_randomization_type flag exists and is a boolean
+        randomization_flag = f"{key}_enable_randomization_type"
+        if randomization_flag not in updated_config or not isinstance(updated_config.get(randomization_flag), bool):
+            updated_config[randomization_flag] = False
+            log(f"[Config Correction] {randomization_flag} missing or invalid. Set to False.")
+
+        # Ensure randomization_type exists
+        randomization_type_key = f"{key}_randomization_type"
+        if randomization_type_key not in updated_config:
+            updated_config[randomization_type_key] = DEFAULT_RANDOMIZATION_TYPE
+            log(f"[Config Correction] {randomization_type_key} missing. Set to '{DEFAULT_RANDOMIZATION_TYPE}'.")
+
+        # Ensure randomization_percent exists
+        randomization_percent_key = f"{key}_randomization_percent"
+        if randomization_percent_key not in updated_config:
+            updated_config[randomization_percent_key] = DEFAULT_RANDOMIZATION_PERCENT
+            log(f"[Config Correction] {randomization_percent_key} missing. Set to {DEFAULT_RANDOMIZATION_PERCENT}.")
+
+        # Ensure _rand_min and _rand_max exist
+        min_key = f"{key}_rand_min"
+        max_key = f"{key}_rand_max"
+        percent = updated_config[randomization_percent_key]
+
+        if min_key not in updated_config:
+            updated_config[min_key] = updated_config[key] * (1 - percent)
+            log(f"[Config Correction] {min_key} missing. Auto-calculated from base.")
+
+        if max_key not in updated_config:
+            updated_config[max_key] = updated_config[key] * (1 + percent)
+            log(f"[Config Correction] {max_key} missing. Auto-calculated from base.")
+
+    log("[Config Validation] Config validated and missing values filled successfully.")
+    return updated_config