Update app.py

app.py

@@ -45,15 +45,15 @@ current_model_path = current_model.path
 print(f"{datetime.datetime.now()} Downloading vae...")
 vae = AutoencoderKL.from_pretrained(current_model.path, subfolder="vae")
 for model in models:
-try:
+    try:
     print(f"{datetime.datetime.now()} Downloading {model.name} model...")
     unet = UNet2DConditionModel.from_pretrained(model.path, subfolder="unet")
     model.pipe_t2i = StableDiffusionPipeline.from_pretrained(model.path, unet=unet, vae=vae, scheduler=scheduler)
     model.pipe_i2i = StableDiffusionImg2ImgPipeline.from_pretrained(model.path, unet=unet, vae=vae, scheduler=scheduler)
-except Exception as e:
+    except Exception as e:
     print(f"{datetime.datetime.now()} Failed to load model " + model.name + ": " + str(e))
     models.remove(model)
-pipe = models[0].pipe_t2i
+    pipe = models[0].pipe_t2i
   
 if torch.cuda.is_available():
   pipe = pipe.to("cuda")