Update app.py

app.py

@@ -358,15 +358,16 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
         pipe = pipe.to(device)
         image = pipe(prompt=Prompt, negative_prompt=negative_prompt, num_inference_steps=10, prior_num_inference_steps=20, prior_guidance_scale=3.0, width=width, height=height).images[0]
         
-           if upscale == 'Yes':
-               upscaler = DiffusionPipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, use_safetensors=True)
-               upscaler.enable_xformers_memory_efficient_attention()
-               upscaler = upscaler.to(device)
-               torch.cuda.empty_cache()
-               upscaled = upscaler(prompt=Prompt, negative_prompt=negative_prompt, image=image, num_inference_steps=5, guidance_scale=0).images[0]
-               return upscaled
-            else:
-                return image
+        if upscale == 'Yes':
+            torch.cuda.empty_cache()
+            upscaler = DiffusionPipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, use_safetensors=True)
+            upscaler.enable_xformers_memory_efficient_attention()
+            upscaler = upscaler.to(device)
+            torch.cuda.empty_cache()
+            upscaled = upscaler(prompt=Prompt, negative_prompt=negative_prompt, image=image, num_inference_steps=5, guidance_scale=0).images[0]
+            return upscaled
+        else:
+            return image
 
     return image