Update app.py

app.py

@@ -7,13 +7,17 @@ from diffusers import DiffusionPipeline, StableDiffusionLatentUpscalePipeline
 
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
 torch.cuda.max_memory_allocated(device=device)
-refiner = 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")
-refiner.enable_xformers_memory_efficient_attention()
-refiner = refiner.to(device)
 torch.cuda.empty_cache()
 
 def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed, upscale, high_noise_frac):
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
+    
+    if upscale == "Yes":
+        refiner = 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")
+        refiner.enable_xformers_memory_efficient_attention()
+        refiner = refiner.to(device)
+        torch.cuda.empty_cache()
+        
     if Model == "PhotoReal":
         pipe = DiffusionPipeline.from_pretrained("circulus/canvers-real-v3.8.1", torch_dtype=torch.float16, safety_checker=None) if torch.cuda.is_available() else DiffusionPipeline.from_pretrained("circulus/canvers-real-v3.8.1")
         pipe = pipe.to(device)