Update app.py

app.py

@@ -314,7 +314,7 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, re
             pipe.enable_xformers_memory_efficient_attention()
             pipe = pipe.to(device)
             torch.cuda.empty_cache()
-            image = refiner(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=high_noise_frac).images[0]
+            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)