Upload sdxllorapps.py

Scripts/sdxllorapps.py

@@ -21,6 +21,7 @@ import fileinput
 import six
 import base64
 import re
+import cv2
 
 from urllib.parse import urlparse, parse_qs, unquote
 import urllib.request
@@ -416,7 +417,7 @@ def sess_xl(Session_Name, MODEL_NAMExl):
 
 
 
-def uplder(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR):
+def uplder(Remove_existing_instance_images, Crop_images, Crop_size, Resize_to_1024_and_keep_aspect_ratio, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR):
 
     if os.path.exists(INSTANCE_DIR+"/.ipynb_checkpoints"):
       call('rm -r '+INSTANCE_DIR+'/.ipynb_checkpoints', shell=True)
@@ -435,7 +436,7 @@ def uplder(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDE
         with out: 
             uploader.close()
             Upload.close()
-            upld(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, uploader)
+            upld(Remove_existing_instance_images, Crop_images, Crop_size, Resize_to_1024_and_keep_aspect_ratio, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, uploader)
             done()
     out=widgets.Output()
     
@@ -443,12 +444,12 @@ def uplder(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDE
       Upload.on_click(up)
       display(uploader, Upload, out)
     else:
-       upld(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, uploader)
+       upld(Remove_existing_instance_images, Crop_images, Crop_size, Resize_to_1024_and_keep_aspect_ratio, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, uploader)
        done()
     
     
 
-def upld(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, uploader):
+def upld(Remove_existing_instance_images, Crop_images, Crop_size, Resize_to_1024_and_keep_aspect_ratio, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, uploader):
 
 
     if Remove_existing_instance_images:
@@ -547,7 +548,9 @@ def upld(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_
     os.chdir(CAPTIONS_DIR)
     call('find . -name "* *" -type f | rename ' "'s/ /-/g'", shell=True)    
     os.chdir('/notebooks')
-
+    
+    if Resize_to_1024_and_keep_aspect_ratio and not Crop_images:
+        resize_keep_aspect(INSTANCE_DIR)    
 
 
 
@@ -616,7 +619,7 @@ def caption(CAPTIONS_DIR, INSTANCE_DIR):
 
 
 
-def dbtrainxl(Unet_Training_Epochs, Text_Encoder_Training_Epochs, Unet_Learning_Rate, Text_Encoder_Learning_Rate, dim, Offset_Noise, Resolution, MODEL_NAME, SESSION_DIR, INSTANCE_DIR, CAPTIONS_DIR, External_Captions,  INSTANCE_NAME, Session_Name, OUTPUT_DIR, ofstnselvl, Save_VRAM):
+def dbtrainxl(Unet_Training_Epochs, Text_Encoder_Training_Epochs, Unet_Learning_Rate, Text_Encoder_Learning_Rate, dim, Offset_Noise, Resolution, MODEL_NAME, SESSION_DIR, INSTANCE_DIR, CAPTIONS_DIR, External_Captions,  INSTANCE_NAME, Session_Name, OUTPUT_DIR, ofstnselvl, Save_VRAM, Intermediary_Save_Epoch):
 
 
     if os.path.exists(INSTANCE_DIR+"/.ipynb_checkpoints"):
@@ -674,6 +677,7 @@ def dbtrainxl(Unet_Training_Epochs, Text_Encoder_Training_Epochs, Unet_Learning_
         call('accelerate launch /notebooks/diffusers/examples/dreambooth/train_dreambooth_sdxl_lora.py \
         '+ofstnse+' \
         '+extrnlcptn+' \
+        --saves='+Intermediary_Save_Epoch+' \
         --dim='+str(dim)+' \
         --ofstnselvl='+str(ofstnselvl)+' \
         --image_captions_filename \
@@ -1111,6 +1115,29 @@ def crop_image(im, size):
 
   return results
   
+
+
+def resize_keep_aspect(DIR):
+        
+    min_dimension=1024
+    
+    for filename in os.listdir(DIR):
+        if filename.lower().endswith(('.png', '.jpg', '.jpeg', '.webp')):    
+            image = cv2.imread(os.path.join(DIR, filename))
+
+            org_height, org_width = image.shape[0], image.shape[1]
+
+            if org_width < org_height:
+                new_width = min_dimension
+                new_height = int(org_height * (min_dimension / org_width))
+            else:
+                new_height = min_dimension
+                new_width = int(org_width * (min_dimension / org_height))
+
+            resized_image = cv2.resize(image, (new_width, new_height), interpolation=cv2.INTER_LANCZOS4)
+
+            cv2.imwrite(os.path.join(DIR, filename), resized_image, [int(cv2.IMWRITE_PNG_COMPRESSION), 0])
+
   
 
 def clean_symlinks(path):