diff --git a/comfy_extras/nodes_video.py b/comfy_extras/nodes_video.py
index 5c096c232..d4d0dadff 100644
--- a/comfy_extras/nodes_video.py
+++ b/comfy_extras/nodes_video.py
@@ -39,29 +39,31 @@ class SaveWEBM(io.ComfyNode):
         file = f"{filename}_{counter:05}_.webm"
         container = av.open(os.path.join(full_output_folder, file), mode="w")
 
-        if cls.hidden.prompt is not None:
-            container.metadata["prompt"] = json.dumps(cls.hidden.prompt)
+        try:
+            if cls.hidden.prompt is not None:
+                container.metadata["prompt"] = json.dumps(cls.hidden.prompt)
 
-        if cls.hidden.extra_pnginfo is not None:
-            for x in cls.hidden.extra_pnginfo:
-                container.metadata[x] = json.dumps(cls.hidden.extra_pnginfo[x])
+            if cls.hidden.extra_pnginfo is not None:
+                for x in cls.hidden.extra_pnginfo:
+                    container.metadata[x] = json.dumps(cls.hidden.extra_pnginfo[x])
 
-        codec_map = {"vp9": "libvpx-vp9", "av1": "libsvtav1"}
-        stream = container.add_stream(codec_map[codec], rate=Fraction(round(fps * 1000), 1000))
-        stream.width = images.shape[-2]
-        stream.height = images.shape[-3]
-        stream.pix_fmt = "yuv420p10le" if codec == "av1" else "yuv420p"
-        stream.bit_rate = 0
-        stream.options = {'crf': str(crf)}
-        if codec == "av1":
-            stream.options["preset"] = "6"
+            codec_map = {"vp9": "libvpx-vp9", "av1": "libsvtav1"}
+            stream = container.add_stream(codec_map[codec], rate=Fraction(round(fps * 1000), 1000))
+            stream.width = images.shape[-2]
+            stream.height = images.shape[-3]
+            stream.pix_fmt = "yuv420p10le" if codec == "av1" else "yuv420p"
+            stream.bit_rate = 0
+            stream.options = {'crf': str(crf)}
+            if codec == "av1":
+                stream.options["preset"] = "6"
 
-        for frame in images:
-            frame = av.VideoFrame.from_ndarray(torch.clamp(frame[..., :3] * 255, min=0, max=255).to(device=torch.device("cpu"), dtype=torch.uint8).numpy(), format="rgb24")
-            for packet in stream.encode(frame):
-                container.mux(packet)
-        container.mux(stream.encode())
-        container.close()
+            for frame in images:
+                frame = av.VideoFrame.from_ndarray(torch.clamp(frame[..., :3] * 255, min=0, max=255).to(device=torch.device("cpu"), dtype=torch.uint8).numpy(), format="rgb24")
+                for packet in stream.encode(frame):
+                    container.mux(packet)
+            container.mux(stream.encode())
+        finally:
+            container.close()
 
         return io.NodeOutput(ui=ui.PreviewVideo([ui.SavedResult(file, subfolder, io.FolderType.output)]))