Update Notebooks/PPS-Dreambooth-v2.ipynb

Notebooks/PPS-Dreambooth-v2.ipynb

@@ -233,21 +233,21 @@
     "# If you're not satisfied with the result, Set to True, run again the cell and it will continue training the current model.\n",
     "\n",
     "\n",
-    "UNet_Training_Steps=850\n",
+    "UNet_Training_Steps= 1500\n",
     "\n",
-    "UNet_Learning_Rate = \"6e-6\"\n",
+    "UNet_Learning_Rate= \"2e-6\"\n",
     "\n",
     "# If you use 10 images, use 650 steps, if you're not satisfied with the result, resume training for another 200 steps with a lower learning rate (8e-6), and so on ...\n",
     "\n",
     "\n",
-    "Text_Encoder_Training_Steps=300\n",
+    "Text_Encoder_Training_Steps= 350\n",
     "\n",
     "Text_Encoder_Learning_Rate= \"1e-6\"\n",
     "\n",
     "# 350-600 steps is enough for a small dataset, keep this number small to avoid overfitting, set to 0 to disable, set it to 0 before resuming training if it is already trained.\n",
     "\n",
     "\n",
-    "Text_Encoder_Concept_Training_Steps=0\n",
+    "Text_Encoder_Concept_Training_Steps= 0\n",
     "\n",
     "# Suitable for training a style/concept as it acts as regularization, with a minimum of 300 steps, 1 step/image is enough to train the concept(s), set to 0 to disable, set both the settings above to 0 to fintune only the text_encoder on the concept, set it to 0 before resuming training if it is already trained.\n",
     "\n",
@@ -257,9 +257,9 @@
     "# Get the captions from a text file for each instance image.\n",
     "\n",
     "\n",
-    "Style_Training=False\n",
+    "Offset_Noise= False\n",
     "\n",
-    "# Further reduce overfitting, suitable when training a style or a general theme, don't check the box at the beginning, check it after training for at least 800 steps. (Has no effect when using External Captions)\n",
+    "# Always use it for style training.\n",
     "\n",
     "\n",
     "Resolution = 768\n",
@@ -269,20 +269,20 @@
     "\n",
     "#---------------------------------------------------------------\n",
     "\n",
-    "Save_Checkpoint_Every_n_Steps = False\n",
+    "Save_Checkpoint_Every_n_Steps= False\n",
     "\n",
-    "Save_Checkpoint_Every=500\n",
+    "Save_Checkpoint_Every= 500\n",
     "\n",
     "# Minimum 200 steps between each save.\n",
     "\n",
     "\n",
-    "Start_saving_from_the_step=500\n",
+    "Start_saving_from_the_step= 500\n",
     "\n",
     "# Start saving intermediary checkpoints from this step.\n",
     "\n",
     "\n",
     "#-----------------\n",
-    "resumev2=dbtrainv2(Resume_Training, UNet_Training_Steps, UNet_Learning_Rate, Text_Encoder_Training_Steps, Text_Encoder_Concept_Training_Steps, Text_Encoder_Learning_Rate, Style_Training, Resolution, MODEL_NAMEv2, SESSION_DIR, INSTANCE_DIR, CONCEPT_DIR, CAPTIONS_DIR, External_Captions, INSTANCE_NAME, Session_Name, OUTPUT_DIR, PT, resumev2, Save_Checkpoint_Every_n_Steps, Start_saving_from_the_step, Save_Checkpoint_Every)"
+    "resumev2=dbtrainv2(Resume_Training, UNet_Training_Steps, UNet_Learning_Rate, Text_Encoder_Training_Steps, Text_Encoder_Concept_Training_Steps, Text_Encoder_Learning_Rate, Offset_Noise, Resolution, MODEL_NAMEv2, SESSION_DIR, INSTANCE_DIR, CONCEPT_DIR, CAPTIONS_DIR, External_Captions, INSTANCE_NAME, Session_Name, OUTPUT_DIR, PT, resumev2, Save_Checkpoint_Every_n_Steps, Start_saving_from_the_step, Save_Checkpoint_Every)"
    ]
   },
   {