Update app.py

app.py

@@ -38,43 +38,43 @@ def initialize_models():
         scheduler = DDPMScheduler.from_pretrained(
             "NightRaven109/CCSRModels",
             subfolder="stable-diffusion-2-1-base/scheduler",
-            use_auth_token=os.environ['Read']
+            use_auth_token=os.environ['Read2']
         )
         
         text_encoder = CLIPTextModel.from_pretrained(
             "NightRaven109/CCSRModels",
             subfolder="stable-diffusion-2-1-base/text_encoder",
-            use_auth_token=os.environ['Read']
+            use_auth_token=os.environ['Read2']
         )
         
         tokenizer = CLIPTokenizer.from_pretrained(
             "NightRaven109/CCSRModels",
             subfolder="stable-diffusion-2-1-base/tokenizer",
-            use_auth_token=os.environ['Read']
+            use_auth_token=os.environ['Read2']
         )
         
         feature_extractor = CLIPImageProcessor.from_pretrained(
             "NightRaven109/CCSRModels",
             subfolder="stable-diffusion-2-1-base/feature_extractor",
-            use_auth_token=os.environ['Read']
+            use_auth_token=os.environ['Read2']
         )
         
         unet = UNet2DConditionModel.from_pretrained(
             "NightRaven109/CCSRModels",
             subfolder="stable-diffusion-2-1-base/unet",
-            use_auth_token=os.environ['Read']
+            use_auth_token=os.environ['Read2']
         )
         
         controlnet = ControlNetModel.from_pretrained(
             "NightRaven109/CCSRModels",
             subfolder="Controlnet",
-            use_auth_token=os.environ['Read']
+            use_auth_token=os.environ['Read2']
         )
         
         vae = AutoencoderKL.from_pretrained(
             "NightRaven109/CCSRModels",
             subfolder="vae",
-            use_auth_token=os.environ['Read']
+            use_auth_token=os.environ['Read2']
         )
 
         # Rest of the code remains the same