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https://git.datalinker.icu/comfyanonymous/ComfyUI
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Use upstream PR: Support saving Comfy VIDEO type to buffer (#123)
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@ -12,6 +12,46 @@ import torch
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from comfy_api.input import VideoInput
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from comfy_api.util import VideoContainer, VideoCodec, VideoComponents
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def container_to_output_format(container_format: str | None) -> str | None:
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"""
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A container's `format` may be a comma-separated list of formats.
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E.g., iso container's `format` may be `mov,mp4,m4a,3gp,3g2,mj2`.
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However, writing to a file/stream with `av.open` requires a single format,
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or `None` to auto-detect.
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"""
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if not container_format:
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return None # Auto-detect
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if "," not in container_format:
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return container_format
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formats = container_format.split(",")
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return formats[0]
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def get_open_write_kwargs(
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dest: str | io.BytesIO, container_format: str, to_format: str | None
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) -> dict:
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"""Get kwargs for writing a `VideoFromFile` to a file/stream with `av.open`"""
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open_kwargs = {
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"mode": "w",
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# If isobmff, preserve custom metadata tags (workflow, prompt, extra_pnginfo)
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"options": {"movflags": "use_metadata_tags"},
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}
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is_write_to_buffer = isinstance(dest, io.BytesIO)
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if is_write_to_buffer:
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# Set output format explicitly, since it cannot be inferred from file extension
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if to_format == VideoContainer.AUTO:
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to_format = container_format.lower()
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elif isinstance(to_format, str):
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to_format = to_format.lower()
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open_kwargs["format"] = container_to_output_format(to_format)
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return open_kwargs
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class VideoFromFile(VideoInput):
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"""
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Class representing video input from a file.
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@ -116,22 +156,8 @@ class VideoFromFile(VideoInput):
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)
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streams = container.streams
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open_kwargs = {
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"mode": "w",
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"options": {"movflags": "use_metadata_tags"}
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}
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if not isinstance(path, str):
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# Explicit format is needed for non-path destinations (like BytesIO)
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output_format_str = (
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format.value.lower()
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if format != VideoContainer.AUTO
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else container.format.name
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)
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if "," in output_format_str:
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output_format_str = output_format_str.split(",")[0]
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open_kwargs["format"] = output_format_str
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open_kwargs = get_open_write_kwargs(path, container_format, format)
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with av.open(path, **open_kwargs) as output_container:
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# Copy over the original metadata
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for key, value in container.metadata.items():
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