Update app.py

app.py

@@ -13,7 +13,9 @@ torch.cuda.empty_cache()
 def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed):
     generator = np.random.seed(0) if seed == 0 else torch.manual_seed(seed)
     if Model == "SD3":
-        
+        torch.cuda.max_memory_allocated(device=device)
+        torch.cuda.empty_cache()
+        SD3 = StableDiffusion3Pipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16).to(device)
         torch.cuda.empty_cache()
         image=SD3(
         prompt=Prompt,
@@ -38,7 +40,7 @@ def genie (Model, Prompt, negative_prompt, height, width, scale, steps, seed):
         pipe.enable_xformers_memory_efficient_attention()
         pipe = pipe.to(device)
         torch.cuda.empty_cache()
-        image = pipe(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=.99).images[0]
         torch.cuda.empty_cache()
         
     return image