diff --git a/doc/manual_ru.pdf b/doc/manual_ru.pdf
index 51438e4..8063098 100644
Binary files a/doc/manual_ru.pdf and b/doc/manual_ru.pdf differ
diff --git a/doc/manual_ru_source.docx b/doc/manual_ru_source.docx
index b32bafc..82d6273 100644
Binary files a/doc/manual_ru_source.docx and b/doc/manual_ru_source.docx differ
diff --git a/main.py b/main.py
index 873e32e..5a3d72f 100644
--- a/main.py
+++ b/main.py
@@ -65,10 +65,14 @@ if __name__ == "__main__":
         if arguments.add_landmarks_debug_images:
             Util.add_landmarks_debug_images (input_path=arguments.input_dir)
 
+        if arguments.recover_original_aligned_filename:
+            Util.recover_original_aligned_filename (input_path=arguments.input_dir)
+            
     util_parser = subparsers.add_parser( "util", help="Utilities.")     
     util_parser.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory. A directory containing the files you wish to process.")
     util_parser.add_argument('--convert-png-to-jpg', action="store_true", dest="convert_png_to_jpg", default=False, help="Convert DeepFaceLAB PNG files to JPEG.")
     util_parser.add_argument('--add-landmarks-debug-images', action="store_true", dest="add_landmarks_debug_images", default=False, help="Add landmarks debug image for aligned faces.")
+    util_parser.add_argument('--recover-original-aligned-filename', action="store_true", dest="recover_original_aligned_filename", default=False, help="Recover original aligned filename.")
     util_parser.set_defaults (func=process_util)
     
     def process_train(arguments):
@@ -204,7 +208,7 @@ if __name__ == "__main__":
     """
     outnull_file = open(os.devnull, 'w')
     os.dup2 ( outnull_file.fileno(), sys.stderr.fileno() )
-    sys.stderr = outnull_file     
+    sys.stderr = outnull_file
     
     
 '''
diff --git a/mainscripts/Util.py b/mainscripts/Util.py
index ae9b1e2..18b631c 100644
--- a/mainscripts/Util.py
+++ b/mainscripts/Util.py
@@ -15,7 +15,7 @@ def convert_png_to_jpg_file (filepath):
         
     dflpng = DFLPNG.load (str(filepath) )
     if dflpng is None:
-        print ("%s is not a dfl image file" % (filepath.name) ) 
+        io.log_err ("%s is not a dfl image file" % (filepath.name) ) 
         return
     
     dfl_dict = dflpng.getDFLDictData()
@@ -36,14 +36,14 @@ def convert_png_to_jpg_file (filepath):
 def convert_png_to_jpg_folder (input_path):
     input_path = Path(input_path)
 
-    print ("Converting PNG to JPG...\r\n")
+    io.log_info ("Converting PNG to JPG...\r\n")
 
     for filepath in io.progress_bar_generator( Path_utils.get_image_paths(input_path), "Converting"):
         filepath = Path(filepath)
         convert_png_to_jpg_file(filepath)
         
 def add_landmarks_debug_images(input_path):
-    print ("Adding landmarks debug images...")
+    io.log_info ("Adding landmarks debug images...")
 
     for filepath in io.progress_bar_generator( Path_utils.get_image_paths(input_path), "Processing"):
         filepath = Path(filepath)
@@ -58,7 +58,7 @@ def add_landmarks_debug_images(input_path):
             dflimg = None
             
         if dflimg is None:
-            print ("%s is not a dfl image file" % (filepath.name) ) 
+            io.log_err ("%s is not a dfl image file" % (filepath.name) ) 
             continue
 
         if img is not None:
@@ -68,3 +68,61 @@ def add_landmarks_debug_images(input_path):
             output_file = '{}{}'.format( str(Path(str(input_path)) / filepath.stem),  '_debug.jpg')
             cv2_imwrite(output_file, img, [int(cv2.IMWRITE_JPEG_QUALITY), 50] )
             
+def recover_original_aligned_filename(input_path):
+    io.log_info ("Recovering original aligned filename...")
+    
+    files = []
+    for filepath in io.progress_bar_generator( Path_utils.get_image_paths(input_path), "Processing"):
+        filepath = Path(filepath)
+ 
+        if filepath.suffix == '.png':
+            dflimg = DFLPNG.load( str(filepath) )
+        elif filepath.suffix == '.jpg':
+            dflimg = DFLJPG.load ( str(filepath) )
+        else:
+            dflimg = None
+            
+        if dflimg is None:
+            io.log_err ("%s is not a dfl image file" % (filepath.name) ) 
+            continue
+            
+        files += [ [filepath, None, dflimg.get_source_filename(), False] ]
+      
+    files_len = len(files)
+    for i in io.progress_bar_generator( range(files_len), "Sorting" ):
+        fp, _, sf, converted = files[i]
+        
+        if converted:
+            continue
+            
+        sf_stem = Path(sf).stem
+        
+        files[i][1] = fp.parent / ( sf_stem + '_0' + fp.suffix )
+        files[i][3] = True
+        c = 1
+        
+        for j in range(i+1, files_len):
+            fp_j, _, sf_j, converted_j = files[j]
+            if converted_j:
+                continue
+            
+            if sf_j == sf:
+                files[j][1] = fp_j.parent / ( sf_stem + ('_%d' % (c)) + fp_j.suffix )                 
+                files[j][3] = True
+                c += 1
+
+    for file in io.progress_bar_generator( files, "Renaming", leave=False ):
+        fs, _, _, _ = file
+        dst = fs.parent / ( fs.stem + '_tmp' + fs.suffix )
+        try:
+            fs.rename (dst)
+        except:
+            io.log_err ('fail to rename %s' % (fs.name) )
+            
+    for file in io.progress_bar_generator( files, "Renaming" ):
+        fs, fd, _, _ = file
+        fs = fs.parent / ( fs.stem + '_tmp' + fs.suffix )
+        try:
+            fs.rename (fd)
+        except:
+            io.log_err ('fail to rename %s' % (fs.name) )
\ No newline at end of file
diff --git a/nnlib/device.py b/nnlib/device.py
index 683c759..0fac79d 100644
--- a/nnlib/device.py
+++ b/nnlib/device.py
@@ -3,7 +3,9 @@ import json
 import numpy as np
 from .pynvml import *
 
-tf_min_req_cap = 37 #min req compute capability for tensorflow-gpu==1.11.0
+ 
+
+tf_min_req_cap = int(os.environ.get("force_tf_min_req_cap", 37)) #min req compute capability for tensorflow-gpu==1.11.0
     
 class device:
     backend = None