Update app.py

app.py

@@ -48,10 +48,10 @@ os.makedirs('output', exist_ok=True)
 # def inference(img, version, scale, weight):
 def inference(img, version, scale, blur_face):
     blur_face = int(blur_face)
-    if blur_face < 3:
-        blur_face = 3
     if blur_face % 2 != 1:
         blur_face += 1
+    if blur_face < 3:
+        blur_face = 0
     # weight /= 100
     print(img, version, scale)
     if scale > 4:
@@ -95,7 +95,8 @@ def inference(img, version, scale, blur_face):
             def new_align_warp_face(*args, **kwargs):
                 align_warp_face(*args, **kwargs)  # save_cropped_path
                 face_helper.org_cropped_faces = face_helper.cropped_faces
-                face_helper.cropped_faces = [cv2.GaussianBlur(e, (blur_face, blur_face), 0) for e in face_helper.cropped_faces]
+                if blur_face >= 3:
+                    face_helper.cropped_faces = [cv2.GaussianBlur(e, (blur_face, blur_face), 0) for e in face_helper.cropped_faces]
                 print("find face count:", len(face_helper.cropped_faces))
 
             face_helper.align_warp_face = new_align_warp_face
@@ -160,6 +161,6 @@ demo = gr.Interface(
     # examples=[['AI-generate.jpg', 'v1.4', 2, 50], ['lincoln.jpg', 'v1.4', 2, 50], ['Blake_Lively.jpg', 'v1.4', 2, 50],
     #           ['10045.png', 'v1.4', 2, 50]]).launch()
     examples=[['HanamichiSakuragi.jpg', 'v1.4', 2, 31], ['LiShiming.jpg', 'v1.4', 2, 3], ['QianLong.jpg', 'v1.4', 2, 3],
-              ['10045.png', 'v1.4', 2, 3]])
+              ['10045.png', 'v1.4', 2, 0]])
 demo.queue(concurrency_count=4)
 demo.launch()