diff --git a/comfy/sd.py b/comfy/sd.py
index e2af7078121..144cf68b8f2 100644
--- a/comfy/sd.py
+++ b/comfy/sd.py
@@ -348,11 +348,19 @@ def encode_tiled_1d(self, samples, tile_x=128 * 2048, overlap=32 * 2048):
         return comfy.utils.tiled_scale_multidim(samples, encode_fn, tile=(tile_x,), overlap=overlap, upscale_amount=(1/self.downscale_ratio), out_channels=self.latent_channels, output_device=self.output_device)
 
     def decode(self, samples_in):
+        predicted_oom = False
+        samples = None
+        out = None
         pixel_samples = None
         try:
             memory_used = self.memory_used_decode(samples_in.shape, self.vae_dtype)
             model_management.load_models_gpu([self.patcher], memory_required=memory_used)
             free_memory = model_management.get_free_memory(self.device)
+            logging.debug(f"Free memory: {free_memory} bytes, predicted memory useage of one batch: {memory_used} bytes")
+            if free_memory < memory_used:
+                logging.warning("Warning: Out of memory is predicted for regular VAE decoding, directly switch to tiled VAE decoding.")
+                predicted_oom = True
+                raise model_management.OOM_EXCEPTION
             batch_number = int(free_memory / memory_used)
             batch_number = max(1, batch_number)
 
@@ -363,7 +371,11 @@ def decode(self, samples_in):
                     pixel_samples = torch.empty((samples_in.shape[0],) + tuple(out.shape[1:]), device=self.output_device)
                 pixel_samples[x:x+batch_number] = out
         except model_management.OOM_EXCEPTION as e:
-            logging.warning("Warning: Ran out of memory when regular VAE decoding, retrying with tiled VAE decoding.")
+            samples = None
+            out = None
+            pixel_samples = None
+            if not predicted_oom:
+                logging.warning("Warning: Ran out of memory when regular VAE decoding, retrying with tiled VAE decoding.")
             dims = samples_in.ndim - 2
             if dims == 1:
                 pixel_samples = self.decode_tiled_1d(samples_in)