diff --git a/accel_sdxl_gen_img.py b/accel_sdxl_gen_img.py
index 62a245ed..d6af05ad 100644
--- a/accel_sdxl_gen_img.py
+++ b/accel_sdxl_gen_img.py
@@ -2908,51 +2908,14 @@ def main(args):
                     for i in range(distributed_state.num_processes):
                         resorted_list.append(templist[i :: distributed_state.num_processes])
                     templist = []
-                    for list_of_prompts in resorted_list:
-                        templist.extend(list_of_prompts)
-                
-                split_into_batches = get_batches(items=templist, batch_size=args.batch_size).copy()
-                
-                sublist = []
-                if(len(split_into_batches) % distributed_state.num_processes != 0):
-                    #Distributes last round of batches across available processes if last round of batches less than available processes and there is more than one prompt in the last batch
-                    popnum = len(split_into_batches) % distributed_state.num_processes
+                    for list_of_prompts in resorted_list:      
+                        templist.extend(get_batches(items=list_of_prompts, batch_size=args.batch_size).copy())
+                    split_into_batches = templist
                 else:
-                    #force distribution check on last round of batches
-                    popnum = distributed_state.num_processes
-                              
-                for j in range(popnum):
-                    if len(split_into_batches) > 1 :
-                        sublist.extend(split_into_batches.pop(-1))
-                    elif len(split_into_batches) == 1 :
-                        sublist.extend(split_into_batches.pop(-1))
-                        split_into_batches = []
-                sublist = sorted(sublist, key=lambda x: x.global_count)  
-                resorted_list = []
-                for i in range(distributed_state.num_processes):
-                    resorted_list.append(sublist[i :: distributed_state.num_processes])
-                sublist = []
-                for list_of_prompts in resorted_list:
-                    sublist.extend(list_of_prompts)
+                    split_into_batches = get_batches(items=templist, batch_size=args.batch_size).copy()
 
-                n, m = divmod(len(sublist), distributed_state.num_processes)
-                split_into_batches.extend([sublist[i*n+min(i,m):(i+1)*n+min(i+1,m)] for i in range(distributed_state.num_processes)])
-                
                 ext_separated_list_of_batches.append(split_into_batches)
-            '''
-            logger.info(f"\nDevice {distributed_state.device}: {ext_separated_list_of_batches}")
-            if distributed_state.num_processes > 1:
-                for x in range(len(ext_separated_list_of_batches)):
-                    temp_list = []
-                    for i in range(distributed_state.num_processes):
-                        temp_list.append(ext_separated_list_of_batches[x][i :: distributed_state.num_processes])
-                    holder = []
-                    for batches in temp_list:
-                        holder.extend(batches)
-                    ext_separated_list_of_batches[x] = holder[:]
-             '''
-        distributed_state.wait_for_everyone()
-        
+
         if distributed_state.is_main_process:
             batchlogstr = "Running through ext_separated_list_of_batches Before Gather:\n"
             for x in range(len(ext_separated_list_of_batches)):
@@ -2962,7 +2925,7 @@ def main(args):
                     for z in range(len(ext_separated_list_of_batches[x][y])):
                         batchlogstr += f"        Image {z} of {len(ext_separated_list_of_batches[x][y])} break: {ext_separated_list_of_batches[x][y][z].global_count}\n"
             logger.info(batchlogstr)  
-        
+        distributed_state.wait_for_everyone()
         ext_separated_list_of_batches = gather_object(ext_separated_list_of_batches)
         del extinfo
         #logger.info(f"\nDevice {distributed_state.device}: {ext_separated_list_of_batches}")