Update app.py

app.py

@@ -1,4 +1,3 @@
-# ...
 import os
 import random
 import uuid
@@ -26,26 +25,11 @@ examples = [
     "Cold coffee in a cup bokeh --ar 85:128 --v 6.0 --style raw5, 4K", 
 ]
 
-
-#examples = [
-  #  ["file/1.png", "3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750, 4K resolution highlights, Sharp focus, octane render, ray tracing, Ultra-High-Definition, 8k, UHD, HDR, (Masterpiece:1.5), (best quality:1.5)"],
-   # ["file/2.png", "Cold coffee in a cup bokeh --ar 85:128 --v 6.0 --style raw5, 4K"],
-    #["file/3.png", "Vector illustration of a horse, vector graphic design with flat colors on a brown background in the style of vector art, using simple shapes and graphics with simple details, professionally designed as a tshirt logo ready for print on a white background. --ar 89:82 --v 6.0 --style raw"],
-    #["file/4.png", "Man in brown leather jacket posing for the camera, in the style of sleek and stylized, clockpunk, subtle shades, exacting precision, ferrania p30  --ar 67:101 --v 5"],
-    #["file/5.png", "Commercial photography, giant burger, white lighting, studio light, 8k octane rendering, high resolution photography, insanely detailed, fine details, on a white isolated plain, 8k, commercial photography, stock photo, professional color grading, --v 4 --ar 9:16"]
-#]
-
-
-#Set an os.Getenv variable
-#set VAR_NAME=”VALUE”
-#Fetch an environment variable
-#echo %VAR_NAME%
-
-MODEL_ID = os.getenv("MODEL_VAL_PATH") #Use SDXL Model as "MODEL_REPO" --------->>> ”VALUE”. 
+MODEL_ID = os.getenv("MODEL_VAL_PATH", "SG161222/RealVisXL_V4.0_Lightning")   
 MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "4096"))
 USE_TORCH_COMPILE = os.getenv("USE_TORCH_COMPILE", "0") == "1"
 ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD", "0") == "1"
-BATCH_SIZE = int(os.getenv("BATCH_SIZE", "1"))  # Allow generating multiple images at once
+BATCH_SIZE = int(os.getenv("BATCH_SIZE", "1"))  
 
 #Load model outside of function
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")