diff --git a/build_dynamic_prompt.py b/build_dynamic_prompt.py
index 7923007..afe9b46 100644
--- a/build_dynamic_prompt.py
+++ b/build_dynamic_prompt.py
@@ -3,6 +3,7 @@ import re
 from csv_reader import *
 from random_functions import *
 from one_button_presets import OneButtonPresets
+from superprompter.superprompter import *
 OBPresets = OneButtonPresets()
 
 
@@ -18,6 +19,8 @@ def build_dynamic_prompt(insanitylevel = 5, forcesubject = "all", artists = "all
     less_verbose = False
     add_vomit = True
     add_quality = True
+    if(superprompter==True):
+        base_model = "Stable Cascade"
    
 
     # set seed
@@ -3265,10 +3268,13 @@ def build_dynamic_prompt(insanitylevel = 5, forcesubject = "all", artists = "all
         prompt_g = cleanup(promptlist[1], advancedprompting, insanitylevel)
         prompt_l = cleanup((promptlist[0] + ", " + promptlist[2]).replace("of a",""), advancedprompting, insanitylevel)
     if("@@@" in completeprompt and superprompter == True):
+        load_models()
         promptlist = completeprompt.split("@@@")
         subjectprompt = cleanup(promptlist[1], advancedprompting, insanitylevel)
+        superpromptresult = one_button_superprompt(insanitylevel=insanitylevel, prompt=subjectprompt, seed=seed)
         startprompt = cleanup(promptlist[0], advancedprompting, insanitylevel)
-        completeprompt = startprompt + ", " + subjectprompt
+        endprompt = cleanup(promptlist[2], advancedprompting, insanitylevel)
+        completeprompt = startprompt + ", " + superpromptresult + ", " + endprompt
     elif(prompt_g_and_l == True):
         prompt_g = completeprompt
         prompt_l = completeprompt
@@ -4690,4 +4696,85 @@ def split_prompt_to_words(text):
 
         totallist = list(set(filter(None, totallist)))
 
-        return totallist
\ No newline at end of file
+        return totallist
+
+def one_button_superprompt(insanitylevel, prompt, seed):
+    
+    temperature_lookup = {
+    1: 0.001,
+    2: 0.01,
+    3: 0.1,
+    4: 0.3,
+    5: 0.5,
+    6: 0.7,
+    7: 1.0,
+    8: 2.5,
+    9: 5.0,
+    10: 10.0
+    }
+
+    old_max_new_tokens_lookup = {
+    1: 40,
+    2: 45,
+    3: 50,
+    4: 70,
+    5: 80,
+    6: 95,
+    7: 105,
+    8: 125,
+    9: 150,
+    10: 255
+    }
+
+    max_new_tokens_lookup = {
+    1: 512,
+    2: 512,
+    3: 512,
+    4: 512,
+    5: 512,
+    6: 512,
+    7: 512,
+    8: 512,
+    9: 512,
+    10: 512
+    }
+
+    top_p_lookup = {
+    1: 0.5,
+    2: 0.7,
+    3: 1.0,
+    4: 1.5,
+    5: 2.0,
+    6: 3.0,
+    7: 4.0,
+    8: 5.5,
+    9: 7.0,
+    10: 15.0
+    }
+    for insanitylevel in range(1,10):
+        temperature = temperature_lookup.get(insanitylevel, 0.5)
+        max_new_tokens = max_new_tokens_lookup.get(insanitylevel, 75)
+        top_p = top_p_lookup.get(insanitylevel, 5.0)
+
+        question = "Expand the following prompt to add more detail: "
+        superpromptresult = answer(input_text=question + prompt, max_new_tokens=max_new_tokens, repetition_penalty=2.0, temperature=temperature, top_p=top_p, top_k=10, seed=seed)
+
+        print("orignal: " + prompt)
+        print("insanitylevel: " + str(insanitylevel))
+        print("")
+        print("complete superprompt: " + superpromptresult)
+        print("")
+
+        # Find the indices of the nearest period and comma
+        period_index = superpromptresult.rfind('.')
+        comma_index = superpromptresult.rfind(',')
+
+        # Determine the index to cut off the string
+        cut_off_index = max(period_index, comma_index)
+
+        # Cut off the string at the determined index
+        if cut_off_index != -1:  # If either period or comma exists
+            superpromptresult = superpromptresult[:cut_off_index + 1]  # Include the period or comma
+        else:
+            superpromptresult = superpromptresult  # If neither period nor comma exists, keep the entire text
+    return superpromptresult
\ No newline at end of file
diff --git a/prompttester.py b/prompttester.py
index c6975f1..e111d15 100644
--- a/prompttester.py
+++ b/prompttester.py
@@ -29,16 +29,15 @@ def generateprompts(amount = 1,insanitylevel="5",subject="all", artist="all", im
         else:
             result = build_dynamic_prompt(insanitylevel,subject,artist,imagetype, onlyartists,antistring,prefixprompt,suffixprompt,promptcompounderlevel, seperator,givensubject,smartsubject,giventypeofimage,imagemodechance, gender, subtypeobject, subtypehumanoid, subtypeconcept, advancedprompting, hardturnoffemojis, seed, overrideoutfit, prompt_g_and_l, base_model, OBP_preset, superprompter)
 
-        if(superprompter):
-            load_models()
-            superpromptresult = answer(input_text=result, max_new_tokens=150, repetition_penalty=1.5, temperature=0.5, top_p=0.1, top_k=10, seed=seed)
-            superpromptresult = answer(input_text="Help me prompt this a little bit better and concise: """ + result + "" , max_new_tokens=150, repetition_penalty=1.5, temperature=0.5, top_p=0.1, top_k=10, seed=seed)
-            superpromptresult = answer(input_text="Remix these words into a sentence: """ + result + "" , max_new_tokens=150, repetition_penalty=1.5, temperature=0.5, top_p=0.1, top_k=10, seed=seed)
-            superpromptresult = answer(input_text="Remix these words into a sentence: """ + result + "" , max_new_tokens=150, repetition_penalty=1.5, temperature=5.0, top_p=5, top_k=1, seed=seed)
-            superpromptresult = answer(input_text="Make this more artful: """ + result + "" , max_new_tokens=150, repetition_penalty=1.5, temperature=5.0, top_p=5, top_k=1, seed=seed)
+        #if(superprompter):
+        #    load_models()
+        #    superpromptresult1 = answer(input_text=result, max_new_tokens=150, repetition_penalty=1.5, temperature=0.5, top_p=0.1, top_k=10, seed=seed)
+        #    superpromptresult2 = answer(input_text="Help me prompt this a little bit better and concise: """ + result + "" , max_new_tokens=150, repetition_penalty=1.5, temperature=0.5, top_p=0.1, top_k=10, seed=seed)
+        #    superpromptresult3 = answer(input_text="Make this more artful: """ + result + "" , max_new_tokens=150, repetition_penalty=1.5, temperature=5.0, top_p=5, top_k=1, seed=seed)
+        #    superpromptresult4 = answer(input_text="Describe this for me please: """ + result + "" , max_new_tokens=150, repetition_penalty=1.5, temperature=5.0, top_p=5, top_k=1, seed=seed)
         #unload_models()
 
-            print (result + " --- " + superpromptresult)
+            #print (result + " --- " + superpromptresult1 + " --- " + superpromptresult2 + " --- " + superpromptresult3  + " --- " + superpromptresult4)
 
         print("")
         print("loop " + str(steps))
@@ -108,7 +107,7 @@ def generateprompts(amount = 1,insanitylevel="5",subject="all", artist="all", im
     print("All done!")
 
 if __name__ == "__main__":
-    generateprompts(1,5
+    generateprompts(1,3
                 ,"all" # subject
                 ,"all" # artists
                 ,"all" # image type  "only other types", "only templates mode", "art blaster mode", "quality vomit mode", "color cannon mode", "unique art mode", "massive madness mode", "photo fantasy mode", "subject only mode", "fixed styles mode", "dynamic templates mode", "artify mode"
@@ -126,10 +125,10 @@ if __name__ == "__main__":
                 , "all" # concept types
                 , False  # prompt switching
                 , True  # Turn off emojis
-                , 25  # seed
+                , 8  # seed
                 , "" #outfit override
                 , False #prompt_g_and_l
-                , "Stable Cascade" #base model
+                , "SDXL" #base model
                 , "" #preset  "All (random)..."
                 , True # superprompter
                 )
\ No newline at end of file
diff --git a/superprompter/superprompter.py b/superprompter/superprompter.py
index cb3ce44..d8f3023 100644
--- a/superprompter/superprompter.py
+++ b/superprompter/superprompter.py
@@ -1,9 +1,6 @@
 #!/usr/bin/env python
-import datetime
 import os
 import random
-import tkinter as tk
-from tkinter import scrolledtext, ttk
 import torch
 from transformers import T5Tokenizer, T5ForConditionalGeneration
 from superprompter.download_models import download_models
@@ -61,7 +58,7 @@ def answer(input_text="", max_new_tokens=512, repetition_penalty=1.2, temperatur
 
     dirty_text = tokenizer.decode(outputs[0])
     text = dirty_text.replace("<pad>", "").replace("</s>", "").strip()
-    print("Temperature: {temperature}\nTop P: {top_p}\nTop K: {top_k}\nSeed: {seed}\nOutput:\n\n")
+    # print("Temperature: {temperature}\nTop P: {top_p}\nTop K: {top_k}\nSeed: {seed}\nOutput:\n\n")
     
-    print(text)
+    # print(text)
     return text