diff --git a/stage1.py b/stage1.py
index 90acf44..26da3c8 100644
--- a/stage1.py
+++ b/stage1.py
@@ -6,6 +6,8 @@ import re
 
 from transformers import AutoProcessor, CLIPSegForImageSegmentation
 from PIL import Image
+from transparent_background import Remover
+from tqdm.auto import tqdm
 import torch
 import numpy as np
 
@@ -21,7 +23,7 @@ def resize_img(img, w, h):
 def resize_all_img(path, frame_width, frame_height):
     if not os.path.isdir(path):
         return
-    
+
     pngs = glob.glob( os.path.join(path, "*.png") )
     img = cv2.imread(pngs[0])
     org_h,org_w = img.shape[0],img.shape[1]
@@ -44,7 +46,7 @@ def resize_all_img(path, frame_width, frame_height):
 def remove_pngs_in_dir(path):
     if not os.path.isdir(path):
         return
-    
+
     pngs = glob.glob( os.path.join(path, "*.png") )
     for png in pngs:
         os.remove(png)
@@ -55,7 +57,7 @@ def create_and_mask(mask_dir1, mask_dir2, output_dir):
     for mask1 in masks:
         base_name = os.path.basename(mask1)
         print("combine {0}".format(base_name))
-        
+
         mask2 = os.path.join(mask_dir2, base_name)
         if not os.path.isfile(mask2):
             print("{0} not found!!! -> skip".format(mask2))
@@ -83,7 +85,7 @@ def create_mask_clipseg(input_dir, output_dir, clipseg_mask_prompt, clipseg_excl
     imgs = glob.glob( os.path.join(input_dir, "*.png") )
     texts = [x.strip() for x in clipseg_mask_prompt.split(',')]
     exclude_texts = [x.strip() for x in clipseg_exclude_prompt.split(',')] if clipseg_exclude_prompt else None
-    
+
     if exclude_texts:
         all_texts = texts + exclude_texts
     else:
@@ -99,7 +101,7 @@ def create_mask_clipseg(input_dir, output_dir, clipseg_mask_prompt, clipseg_excl
 
         with torch.no_grad(), devices.autocast():
             outputs = model(**inputs)
-        
+
         if len(all_texts) == 1:
             preds = outputs.logits.unsqueeze(0)
         else:
@@ -124,7 +126,7 @@ def create_mask_clipseg(input_dir, output_dir, clipseg_mask_prompt, clipseg_excl
 
         mask_img = mask_img*255
         mask_img = mask_img.astype(np.uint8)
-        
+
         if mask_blur_size > 0:
             mask_blur_size = mask_blur_size//2 * 2 + 1
             mask_img = cv2.medianBlur(mask_img, mask_blur_size)
@@ -140,38 +142,25 @@ def create_mask_clipseg(input_dir, output_dir, clipseg_mask_prompt, clipseg_excl
         cv2.imwrite(save_path, mask_img)
 
         print("{0} / {1}".format( img_count+1,len(imgs) ))
-    
+
     devices.torch_gc()
 
 
 def create_mask_transparent_background(input_dir, output_dir, tb_use_fast_mode, tb_use_jit, st1_mask_threshold):
-    fast_str = " --fast" if tb_use_fast_mode else ""
-    jit_str = " --jit" if tb_use_jit else ""
-    venv = "venv"
-    if 'VIRTUAL_ENV' in os.environ:
-        venv = os.environ['VIRTUAL_ENV']
-    bin_path = os.path.join(venv, "Scripts")
-    bin_path = os.path.join(bin_path, "transparent-background")
+    from modules import devices
+    remover = Remover(fast=tb_use_fast_mode, jit=tb_use_jit, device=devices.get_optimal_device_name())
 
-    if os.path.isfile(bin_path) or os.path.isfile(bin_path + ".exe"):
-        subprocess.call(bin_path + " --source " + input_dir + " --dest " + output_dir + " --type map" + fast_str + jit_str, shell=True)
-    else:
-        subprocess.call("transparent-background --source " + input_dir + " --dest " + output_dir + " --type map" + fast_str + jit_str, shell=True)
+    original_imgs = glob.glob( os.path.join(input_dir, "*.png") )
 
-    mask_imgs = glob.glob( os.path.join(output_dir, "*.png") )
-    
-    for m in mask_imgs:
-        img = cv2.imread(m)
-        img[img < int( 255 * st1_mask_threshold )] = 0
-        cv2.imwrite(m, img)
+    pbar_original_imgs = tqdm(original_imgs, bar_format='{desc:<15}{percentage:3.0f}%|{bar:50}{r_bar}')
+    for m in pbar_original_imgs:
+        base_name = os.path.basename(m)
+        pbar_original_imgs.set_description('{}'.format(base_name))
+        img = Image.open(m).convert('RGB')
+        out = remover.process(img, type='map')
+        out[out < int( 255 * st1_mask_threshold )] = 0
+        cv2.imwrite(os.path.join(output_dir, base_name), out)
 
-    p = re.compile(r'([0-9]+)_[a-z]*\.png')
-
-    for mask in mask_imgs:
-        base_name = os.path.basename(mask)
-        m = p.fullmatch(base_name)
-        if m:
-            os.rename(mask, os.path.join(output_dir, m.group(1) + ".png"))
 
 def ebsynth_utility_stage1(dbg, project_args, frame_width, frame_height, st1_masking_method_index, st1_mask_threshold, tb_use_fast_mode, tb_use_jit, clipseg_mask_prompt, clipseg_exclude_prompt, clipseg_mask_threshold, clipseg_mask_blur_size, clipseg_mask_blur_size2, is_invert_mask):
     dbg.print("stage1")
@@ -192,7 +181,7 @@ def ebsynth_utility_stage1(dbg, project_args, frame_width, frame_height, st1_mas
 
     if frame_mask_path:
         remove_pngs_in_dir(frame_mask_path)
-    
+
     if frame_mask_path:
         os.makedirs(frame_mask_path, exist_ok=True)
 
@@ -228,7 +217,7 @@ def ebsynth_utility_stage1(dbg, project_args, frame_width, frame_height, st1_mas
 
 
         dbg.print("mask created")
-    
+
     dbg.print("")
     dbg.print("completed.")
 
@@ -246,7 +235,7 @@ def ebsynth_utility_stage1_invert(dbg, frame_mask_path, inv_mask_path):
     os.makedirs(inv_mask_path, exist_ok=True)
 
     mask_imgs = glob.glob( os.path.join(frame_mask_path, "*.png") )
-    
+
     for m in mask_imgs:
         img = cv2.imread(m)
         inv = cv2.bitwise_not(img)