Update app.py

app.py

@@ -114,10 +114,9 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, up
         sdxl = sdxl.to(device)   
         sdxl.enable_xformers_memory_efficient_attention()
         torch.cuda.empty_cache()
-        image = sdxl(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, output_type="latent").images
-        torch.cuda.empty_cache()
-        
+    
         if upscale == "Yes":
+            image = sdxl(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale, output_type="latent").images
             sdxl = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", use_safetensors=True, torch_dtype=torch.float16, variant="fp16") if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0")
             sdxl.enable_xformers_memory_efficient_attention()
             sdxl = sdxl.to(device)
@@ -125,7 +124,10 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, up
             refined = sdxl(Prompt, negative_prompt=negative_prompt, image=int_image, denoising_start=high_noise_frac).images[0]
             torch.cuda.empty_cache()
             return refined
-        
+        else:
+            image = sdxl(Prompt, negative_prompt=negative_prompt, height=height, width=width, num_inference_steps=steps, guidance_scale=scale).images[0]
+            torch.cuda.empty_cache()
+            
     return image
     
 gr.Interface(fn=genie, inputs=[gr.Radio(['PhotoReal', 'Anime', 'Disney', 'StoryBook', 'SemiReal', 'Animagine XL 3.0', 'SDXL 1.0'], value='PhotoReal', label='Choose Model'),