Update app.py

app.py

@@ -317,11 +317,11 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
             image = pipe(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=high_noise_frac).images[0]
             torch.cuda.empty_cache()
             if upscale == "Yes":
-                refiner = DiffusionPipeline.from_pretrained("stabilityai/sd-x2-latent-upscaler", torch_dtype=torch.float16, use_safetensors=True)
-                refiner.enable_xformers_memory_efficient_attention()
-                refiner = refiner.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 = refiner(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: