Update app.py

app.py

@@ -88,9 +88,9 @@ def scheduler_swap_callback(pipeline, step_index, timestep, callback_kwargs):
        # pipe.vae = vae_b
         torch.backends.cudnn.allow_tf32 = True
         torch.backends.cuda.matmul.allow_tf32 = True
-        #  torch.backends.cudnn.deterministic = True
+        torch.backends.cudnn.deterministic = True
         torch.backends.cuda.preferred_blas_library="cublaslt"
-    if step_index == int(pipeline.num_timesteps * 0.5):
+    #if step_index == int(pipeline.num_timesteps * 0.5):
        # torch.set_float32_matmul_precision("medium")
         #callback_kwargs["latents"] = callback_kwargs["latents"].to(torch.float64)
         #pipe.unet.to(torch.float64)
@@ -107,7 +107,7 @@ def scheduler_swap_callback(pipeline, step_index, timestep, callback_kwargs):
         #pipe.unet.to(torch.float64)
      #   pipe.vae = vae_a
      #   pipe.unet = unet_a
-      #  torch.backends.cudnn.deterministic = False
+        torch.backends.cudnn.deterministic = False
         print("-- swapping scheduler --")
       #  pipeline.scheduler = heun_scheduler
         #pipe.scheduler.set_timesteps(num_inference_steps*.70)