Update app.py

app.py

@@ -24,7 +24,7 @@ torch.backends.cuda.matmul.allow_fp16_reduced_precision_reduction = False
 torch.backends.cudnn.allow_tf32 = False
 torch.backends.cudnn.deterministic = False
 torch.backends.cudnn.benchmark = False
-torch.backends.cuda.preferred_blas_library="cublas"
+#torch.backends.cuda.preferred_blas_library="cublas"
 # torch.backends.cuda.preferred_linalg_library="cusolver"
 torch.set_float32_matmul_precision("highest")
 
@@ -101,9 +101,9 @@ def load_and_prepare_model():
     return pipe
     
 # Preload and compile both models
-pipe =load_and_prepare_model()
+pipe = load_and_prepare_model()
 
-MAX_SEED = np.iinfo(np.int32).max
+MAX_SEED = np.iinfo(np.int64).max
 
 neg_prompt_2 = " 'non-photorealistic':1.5, 'unrealistic skin','unattractive face':1.3, 'low quality':1.1, ('dull color scheme', 'dull colors', 'digital noise':1.2),'amateurish', 'poorly drawn face':1.3, 'poorly drawn', 'distorted face', 'low resolution', 'simplistic' "
 
@@ -163,7 +163,7 @@ def generate_30(
     progress=gr.Progress(track_tqdm=True)  # Add progress as a keyword argument
 ):
     seed = random.randint(0, MAX_SEED)
-   # generator = torch.Generator(device='cuda').manual_seed(seed)
+    generator = torch.Generator(device='cuda').manual_seed(seed)
     options = {
         "prompt": [prompt],
         "negative_prompt": [negative_prompt],
@@ -172,7 +172,7 @@ def generate_30(
         "height": height,
         "guidance_scale": guidance_scale,
         "num_inference_steps": num_inference_steps,
-     #   "generator": generator,
+        "generator": generator,
         "output_type": "pil",
     }
     if use_resolution_binning: