use random seed

app.py

@@ -7,6 +7,7 @@ from torch import autocast
 from contextlib import nullcontext
 import requests
 import functools
+import random
 
 from ldm.models.diffusion.ddim import DDIMSampler
 from ldm.models.diffusion.plms import PLMSSampler
@@ -137,13 +138,13 @@ def boutsify(person):
     inputs = [
         "Image", "Image", "Image", "Image", "Nothing",
         "","","","","",
-        Image.open("bouts_m1.jpg").convert("RGB"),
+        Image.open("bouts_f1.jpg").convert("RGB") if female_detected else Image.open("bouts_m1.jpg").convert("RGB"),
         Image.open("bouts_banner.png").convert("RGB"),
         Image.open("bouts_city.png").convert("RGB"),
         person_image,
         Image.open("bouts_m24.jpg").convert("RGB"),
-        1,1,1,1.4,1,
-        3.0, 1, 0, 40,
+        1.2,1,1,1.4,1,
+        3.0, 1, random.randrange(0, 10000), 40,
     ]
     
     return run_image_mixer(inputs)