Update app.py

app.py

@@ -329,11 +329,11 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
         else:
             if upscale == "Yes":
                 image = pipe(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images[0]
-                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)
+                pipe = DiffusionPipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, use_safetensors=True)
+                pipe.enable_xformers_memory_efficient_attention()
+                pipe = pipe.to(device)
                 torch.cuda.empty_cache()
-                upscaled = upscaler(prompt=Prompt, negative_prompt=negative_prompt, image=image, num_inference_steps=15, guidance_scale=0).images[0]
+                upscaled = pipe(prompt=Prompt, negative_prompt=negative_prompt, image=image, num_inference_steps=15, guidance_scale=0).images[0]
                 torch.cuda.empty_cache()
                 return upscaled
             else: