Update app.py

app.py

@@ -49,8 +49,7 @@ vae = AutoencoderKL.from_pretrained('.', subfolder='vae')
 scheduler = DDIMScheduler.from_pretrained('.', subfolder='scheduler')
 image_encoder = CLIPVisionModelWithProjection.from_pretrained('.', subfolder="image_encoder")
 feature_extractor = CLIPImageProcessor.from_pretrained('.', subfolder="feature_extractor")
-
-unet = UNet2DConditionModel.from_pretrained('./unet')
+unet = UNet2DConditionModel.from_pretrained('.', subfolder="unet")
 
 pipe = DepthNormalEstimationPipeline(vae=vae,
                             image_encoder=image_encoder,