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fix: ensure SaveWEBM container is always closed on error (fixes #9115)
Wrap the av.Container operations in SaveWEBM.execute with try/finally to guarantee container.close() is called even when an exception occurs during encoding (e.g. OOM, codec error). Without this, the output file handle could remain open, causing 'file is open in Python' errors on Windows when trying to delete or overwrite the output file. Consistent with the pattern already used in encode_single_frame() and decode_single_frame() in comfy_extras/nodes_lt.py.
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@ -39,29 +39,31 @@ class SaveWEBM(io.ComfyNode):
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file = f"{filename}_{counter:05}_.webm"
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container = av.open(os.path.join(full_output_folder, file), mode="w")
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if cls.hidden.prompt is not None:
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container.metadata["prompt"] = json.dumps(cls.hidden.prompt)
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try:
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if cls.hidden.prompt is not None:
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container.metadata["prompt"] = json.dumps(cls.hidden.prompt)
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if cls.hidden.extra_pnginfo is not None:
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for x in cls.hidden.extra_pnginfo:
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container.metadata[x] = json.dumps(cls.hidden.extra_pnginfo[x])
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if cls.hidden.extra_pnginfo is not None:
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for x in cls.hidden.extra_pnginfo:
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container.metadata[x] = json.dumps(cls.hidden.extra_pnginfo[x])
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codec_map = {"vp9": "libvpx-vp9", "av1": "libsvtav1"}
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stream = container.add_stream(codec_map[codec], rate=Fraction(round(fps * 1000), 1000))
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stream.width = images.shape[-2]
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stream.height = images.shape[-3]
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stream.pix_fmt = "yuv420p10le" if codec == "av1" else "yuv420p"
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stream.bit_rate = 0
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stream.options = {'crf': str(crf)}
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if codec == "av1":
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stream.options["preset"] = "6"
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codec_map = {"vp9": "libvpx-vp9", "av1": "libsvtav1"}
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stream = container.add_stream(codec_map[codec], rate=Fraction(round(fps * 1000), 1000))
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stream.width = images.shape[-2]
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stream.height = images.shape[-3]
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stream.pix_fmt = "yuv420p10le" if codec == "av1" else "yuv420p"
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stream.bit_rate = 0
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stream.options = {'crf': str(crf)}
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if codec == "av1":
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stream.options["preset"] = "6"
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for frame in images:
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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")
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for packet in stream.encode(frame):
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container.mux(packet)
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container.mux(stream.encode())
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container.close()
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for frame in images:
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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")
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for packet in stream.encode(frame):
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container.mux(packet)
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container.mux(stream.encode())
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finally:
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container.close()
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return io.NodeOutput(ui=ui.PreviewVideo([ui.SavedResult(file, subfolder, io.FolderType.output)]))
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