feat: add VideoTrim and VideoCrop nodes with VIDEO_EDIT widget inputs

This commit is contained in:
Terry Jia
2026-08-15 10:16:12 -04:00
parent 76135e557d
commit 4a2058c7c7
7 changed files with 415 additions and 11 deletions

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@@ -4,7 +4,7 @@ from fractions import Fraction
from typing import Optional, Union, IO
import io
import av
from .._util import VideoContainer, VideoCodec, VideoComponents
from .._util import VideoContainer, VideoCodec, VideoComponents, normalize_crop_rect
class VideoInput(ABC):
"""
@@ -63,6 +63,45 @@ class VideoInput(ABC):
"""
pass
def as_cropped(
self,
x: int = 0,
y: int = 0,
width: int = 0,
height: int = 0,
) -> VideoInput:
"""
Create a new VideoInput spatially cropped to the given pixel rectangle.
The rectangle is clamped to the frame and even-aligned for encoder
compatibility. An empty or full-frame rectangle returns the input
unchanged.
Default implementation materializes the video via get_components();
subclasses should override with lazier strategies when possible.
"""
components = self.get_components()
rect = normalize_crop_rect(
x, y, width, height, components.images.shape[2], components.images.shape[1]
)
if rect is None:
return self
from .._input_impl.video_types import VideoFromComponents
cx, cy, cw, ch = rect
return VideoFromComponents(
VideoComponents(
images=components.images[:, cy:cy + ch, cx:cx + cw, :],
audio=components.audio,
frame_rate=components.frame_rate,
metadata=components.metadata,
alpha=components.alpha[:, cy:cy + ch, cx:cx + cw]
if components.alpha is not None
else None,
),
bit_depth=self.get_bit_depth(),
)
def get_stream_source(self) -> Union[str, io.BytesIO]:
"""
Get a streamable source for the video. This allows processing without

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@@ -12,7 +12,8 @@ import numpy as np
import math
import os
import torch
from .._util import VideoContainer, VideoCodec, VideoComponents
from .._util import VideoContainer, VideoCodec, VideoComponents, normalize_crop_rect
import comfy.utils
import logging
@@ -196,12 +197,17 @@ def webm_streams_compatible(streams) -> bool:
return True
def _rotation_quadrant(frame: av.VideoFrame) -> int:
return int(round(frame.rotation // 90)) % 4 if frame.rotation else 0
class VideoFromFile(VideoInput):
"""
Class representing video input from a file.
"""
def __init__(self, file: str | io.BytesIO, *, start_time: float=0, duration: float=0):
def __init__(self, file: str | io.BytesIO, *, start_time: float=0, duration: float=0,
crop: tuple[int, int, int, int] | None = None):
"""
Initialize the VideoFromFile object based off of either a path on disk or a BytesIO object
containing the file contents.
@@ -209,6 +215,7 @@ class VideoFromFile(VideoInput):
self.__file = file
self.__start_time = start_time
self.__duration = duration
self.__crop = crop
def get_stream_source(self) -> str | io.BytesIO:
"""
@@ -238,7 +245,31 @@ class VideoFromFile(VideoInput):
for stream in container.streams:
if stream.type == 'video':
assert isinstance(stream, av.VideoStream)
return stream.width, stream.height
if self.__crop is None:
return stream.width, stream.height
display_width, display_height = self._get_display_dimensions()
rect = normalize_crop_rect(*self.__crop, display_width, display_height)
if rect is not None:
return rect[2], rect[3]
return display_width, display_height
raise ValueError(f"No video stream found in file '{self.__file}'")
def _get_display_dimensions(self) -> tuple[int, int]:
if isinstance(self.__file, io.BytesIO):
self.__file.seek(0)
with av.open(self.__file, mode='r') as container:
for stream in container.streams:
if stream.type == 'video':
assert isinstance(stream, av.VideoStream)
width, height = stream.width, stream.height
try:
frame = next(container.decode(stream), None)
except av.error.FFmpegError:
frame = None
if frame is not None and _rotation_quadrant(frame) % 2:
width, height = height, width
return width, height
raise ValueError(f"No video stream found in file '{self.__file}'")
def get_bit_depth(self) -> int:
@@ -415,6 +446,8 @@ class VideoFromFile(VideoInput):
streams = [video_stream]
has_first_audio_frame = False
checked_alpha = False
crop_rect = None
crop_resolved = False
# Default to False so we decode until EOF if duration is 0
video_done = False
@@ -485,9 +518,16 @@ class VideoFromFile(VideoInput):
img = np.ascontiguousarray(align_graph[2].pull().to_ndarray(format=image_format)[:frame.height, :frame.width])
else:
img = frame.to_ndarray(format=image_format)
if frame.rotation != 0:
k = int(round(frame.rotation // 90))
img = np.rot90(img, k=k, axes=(0, 1)).copy()
rotation_quadrant = _rotation_quadrant(frame)
if rotation_quadrant:
img = np.rot90(img, k=rotation_quadrant, axes=(0, 1)).copy()
if self.__crop is not None:
if not crop_resolved:
crop_rect = normalize_crop_rect(*self.__crop, img.shape[1], img.shape[0])
crop_resolved = True
if crop_rect is not None:
cx, cy, cw, ch = crop_rect
img = np.ascontiguousarray(img[cy:cy + ch, cx:cx + cw])
if alphas is None:
frames.append(torch.from_numpy(img))
else:
@@ -586,6 +626,8 @@ class VideoFromFile(VideoInput):
reuse_streams = False
if self.__start_time or self.__duration:
reuse_streams = False
if self.__crop is not None:
reuse_streams = False
if not reuse_streams:
if bit_depth is None:
@@ -673,6 +715,16 @@ class VideoFromFile(VideoInput):
if duration:
duration_cap = math.ceil(duration * sample_rate)
if duration:
window_seconds = duration
else:
try:
window_seconds = max(self._get_raw_duration() - start_time, 0.0)
except ValueError:
window_seconds = 0.0
progress_total = max(1, int(round(window_seconds * float(rate))))
pbar = comfy.utils.ProgressBar(progress_total)
streams = [video_stream] if audio_stream is None else [video_stream, audio_stream]
pts_step = max(1, int(round((1 / rate) / video_stream.time_base)))
video_done = False
@@ -685,6 +737,8 @@ class VideoFromFile(VideoInput):
source_size = None
rotation_k = 0
rotation_filter = None
crop_rect = None
crop_filter = None
audio_started = False
samples_written = 0
pending_audio = []
@@ -758,13 +812,27 @@ class VideoFromFile(VideoInput):
if end_pts is not None and frame.pts is not None:
frame_duration = min(frame_duration, end_pts - frame.pts)
if output is None:
rotation_k = int(round(frame.rotation // 90)) % 4 if frame.rotation else 0
rotation_k = _rotation_quadrant(frame)
if rotation_k % 2:
out_width, out_height = frame.height, frame.width
else:
out_width, out_height = frame.width, frame.height
if self.__crop is not None:
crop_rect = normalize_crop_rect(*self.__crop, out_width, out_height)
if crop_rect is not None:
out_width, out_height = crop_rect[2], crop_rect[3]
if (out_width % 2 or out_height % 2) and crop_rect is None:
even_width = out_width - out_width % 2
even_height = out_height - out_height % 2
if even_width > 0 and even_height > 0:
crop_rect = (0, 0, even_width, even_height)
out_width, out_height = even_width, even_height
if out_width % 2 or out_height % 2:
raise ValueError(f"{output_codec.value.upper()} output requires even dimensions, got {out_width}x{out_height}")
if any(component.is_alpha for component in frame.format.components):
logging.warning(
"Transcoded video output does not support alpha; the alpha channel will be discarded."
)
source_size = (frame.width, frame.height)
output = av.open(path, **open_kwargs)
# Add metadata before writing any streams
@@ -810,6 +878,19 @@ class VideoFromFile(VideoInput):
rotation_filter = (g_src, g_sink)
rotation_filter[0].push(frame)
frame = rotation_filter[1].pull()
if crop_rect is not None:
if crop_filter is None:
g = av.filter.Graph()
g_src = g.add_buffer(width=frame.width, height=frame.height,
format=frame.format.name, time_base=video_stream.time_base)
g_crop = g.add("crop", f"{crop_rect[2]}:{crop_rect[3]}:{crop_rect[0]}:{crop_rect[1]}")
g_sink = g.add("buffersink")
g_src.link_to(g_crop)
g_crop.link_to(g_sink)
g.configure()
crop_filter = (g_src, g_sink)
crop_filter[0].push(frame)
frame = crop_filter[1].pull()
if frame.color_range == ColorRange.JPEG and not preserve_source_color:
# compress full-range sources (yuvj/MJPEG) to limited range
frame = frame.reformat(format=pix_fmt, src_color_range="JPEG", dst_color_range="MPEG")
@@ -852,6 +933,7 @@ class VideoFromFile(VideoInput):
out_packet.duration = video_frame_durations.pop(out_packet.pts, 0)
output.mux(out_packet)
drain_audio()
pbar.update(1)
elif packet.stream == audio_stream and not audio_done:
for resampled in itertools.chain.from_iterable(map(resampler.resample, packet.decode())):
@@ -921,11 +1003,42 @@ class VideoFromFile(VideoInput):
self.get_stream_source(),
start_time=start_time + self.__start_time,
duration=duration,
crop=self.__crop,
)
if trimmed.get_duration() < duration and strict_duration:
if strict_duration and duration and trimmed.get_duration() < duration:
return None
return trimmed
def as_cropped(
self, x: int = 0, y: int = 0, width: int = 0, height: int = 0
) -> VideoInput:
if int(width) <= 0 or int(height) <= 0:
return self
display_width, display_height = self._get_display_dimensions()
outer = (
normalize_crop_rect(*self.__crop, display_width, display_height)
if self.__crop is not None
else None
)
if outer is None:
rect = normalize_crop_rect(x, y, width, height, display_width, display_height)
else:
inner = normalize_crop_rect(x, y, width, height, outer[2], outer[3])
rect = (
(outer[0] + inner[0], outer[1] + inner[1], inner[2], inner[3])
if inner is not None
else None
)
if rect is None:
return self
return VideoFromFile(
self.get_stream_source(),
start_time=self.__start_time,
duration=self.__duration,
crop=rect,
)
class VideoFromComponents(VideoInput):
"""
@@ -942,6 +1055,8 @@ class VideoFromComponents(VideoInput):
images=self.__components.images,
audio=self.__components.audio,
frame_rate=self.__components.frame_rate,
metadata=self.__components.metadata,
alpha=self.__components.alpha,
)
def get_bit_depth(self) -> int:

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@@ -1416,6 +1416,41 @@ class BoundingBoxes(ComfyTypeIO):
self.default = []
@comfytype(io_type="VIDEO_EDIT")
class VideoEdit(ComfyTypeIO):
class VideoTrimSection(TypedDict):
start_time: float
duration: float
class VideoCropSection(TypedDict):
x: int
y: int
width: int
height: int
class VideoEditDict(TypedDict, total=False):
trim: 'VideoEdit.VideoTrimSection'
crop: 'VideoEdit.VideoCropSection'
Type = VideoEditDict
class Input(WidgetInput):
def __init__(self, id: str, display_name: str=None, optional=False, tooltip: str=None,
socketless: bool=True, default: dict=None, features: list[str]=None, advanced: bool=None):
super().__init__(id, display_name, optional, tooltip, None, default, socketless, None, None, None, None, advanced)
self.features = features if features is not None else ["trim", "crop"]
if default is None:
self.default = {}
if "trim" in self.features:
self.default["trim"] = {"start_time": 0.0, "duration": 0.0}
if "crop" in self.features:
self.default["crop"] = {"x": 0, "y": 0, "width": 0, "height": 0}
def as_dict(self):
return super().as_dict() | prune_dict({
"features": self.features,
})
@comfytype(io_type="HISTOGRAM")
class Histogram(ComfyTypeIO):
"""A histogram represented as a list of bin counts."""
@@ -2493,5 +2528,6 @@ __all__ = [
"Curve",
"Histogram",
"Range",
"VideoEdit",
"NodeReplace",
]

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@@ -1,4 +1,4 @@
from .video_types import VideoContainer, VideoCodec, VideoComponents
from .video_types import VideoContainer, VideoCodec, VideoComponents, normalize_crop_rect
from .geometry_types import VOXEL, MESH, SPLAT, File3D
from .image_types import SVG
@@ -7,6 +7,7 @@ __all__ = [
"VideoContainer",
"VideoCodec",
"VideoComponents",
"normalize_crop_rect",
"VOXEL",
"MESH",
"SPLAT",

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@@ -55,3 +55,25 @@ class VideoComponents:
audio: Optional[AudioInput] = None
metadata: Optional[dict] = None
alpha: Optional[MaskInput] = None
def normalize_crop_rect(
x: int, y: int, width: int, height: int, source_width: int, source_height: int
) -> Optional[tuple[int, int, int, int]]:
width = int(width)
height = int(height)
if width <= 0 or height <= 0:
return None
x = max(0, min(int(x), source_width - 1))
y = max(0, min(int(y), source_height - 1))
x -= x % 2
y -= y % 2
width = min(width, source_width - x)
height = min(height, source_height - y)
if x == 0 and y == 0 and width == source_width and height == source_height:
return None
width -= width % 2
height -= height % 2
if width <= 0 or height <= 0:
return None
return x, y, width, height

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@@ -3,6 +3,7 @@ import av
import torch
import folder_paths
import json
import weakref
from typing import Optional
from typing_extensions import override
from fractions import Fraction
@@ -303,6 +304,7 @@ class LoadVideo(io.ComfyNode):
display_name="Load Video",
category="video",
essentials_category="Basics",
has_intermediate_output=True,
inputs=[
io.Combo.Input("file", options=sorted(files), upload=io.UploadType.video),
],
@@ -314,7 +316,8 @@ class LoadVideo(io.ComfyNode):
@classmethod
def execute(cls, file) -> io.NodeOutput:
video_path = folder_paths.get_annotated_filepath(file)
return io.NodeOutput(InputImpl.VideoFromFile(video_path))
source = InputImpl.VideoFromFile(video_path)
return io.NodeOutput(source, ui=preview_input_video(file, source))
@classmethod
def fingerprint_inputs(s, file):
@@ -331,6 +334,66 @@ class LoadVideo(io.ComfyNode):
return True
_preview_results: "weakref.WeakKeyDictionary[Input.Video, tuple[str, ui.SavedResult]]" = weakref.WeakKeyDictionary()
def preview_input_video(file: str, video: Input.Video | None = None) -> ui.PreviewVideo:
name, _ = folder_paths.annotated_filepath(file)
subfolder, _, filename = name.replace("\\", "/").rpartition("/")
result = ui.SavedResult(filename, subfolder, io.FolderType.input)
if video is not None:
_preview_results[video] = (folder_paths.get_annotated_filepath(file), result)
return ui.PreviewVideo([result])
def save_video_preview(video: Input.Video) -> ui.PreviewVideo:
cached = _preview_results.get(video)
if cached is not None and os.path.isfile(cached[0]):
return ui.PreviewVideo([cached[1]])
full_output_folder, filename, counter, subfolder, _ = folder_paths.get_save_image_path(
"ComfyUI_temp_video", folder_paths.get_temp_directory(), 0, 0
)
preview_format = Types.VideoContainer.MP4
file = f"{filename}_{counter:05}_.{Types.VideoContainer.get_extension(preview_format)}"
full_path = os.path.join(full_output_folder, file)
video.save_to(
full_path,
format=preview_format,
codec="auto",
)
result = ui.SavedResult(file, subfolder, io.FolderType.temp)
_preview_results[video] = (full_path, result)
return ui.PreviewVideo([result])
def apply_video_trim(video: Input.Video, trim, strict_duration: bool = False) -> Input.Video:
trim = trim or {}
start_time = float(trim.get("start_time", 0.0))
duration = float(trim.get("duration", 0.0))
if duration < 0:
raise ValueError(f"Trim duration must be >= 0, got {duration}")
if start_time == 0.0 and duration == 0.0:
return video
trimmed = video.as_trimmed(start_time, duration, strict_duration=strict_duration)
if trimmed is None:
raise ValueError(
f"Failed to trim video:\nSource duration: {video.get_duration()}\nStart time: {start_time}\nTarget duration: {duration}"
)
return trimmed
def apply_video_crop(video: Input.Video, crop) -> Input.Video:
crop = crop or {}
return video.as_cropped(
int(crop.get("x", 0)),
int(crop.get("y", 0)),
int(crop.get("width", 0)),
int(crop.get("height", 0)),
)
class VideoSlice(io.ComfyNode):
@classmethod
def define_schema(cls):
@@ -378,6 +441,74 @@ class VideoSlice(io.ComfyNode):
)
class VideoTrim(io.ComfyNode):
@classmethod
def define_schema(cls):
return io.Schema(
node_id="VideoTrim",
display_name="Trim Video (Advanced)",
search_aliases=["trim video duration", "skip first frames", "cut video", "start time"],
category="video",
is_experimental=True,
is_output_node=True,
essentials_category="Video Tools",
has_intermediate_output=True,
inputs=[
io.Video.Input("video"),
io.VideoEdit.Input(
"trim",
features=["trim"],
tooltip="Trim window in seconds. Duration 0 keeps the video until the end.",
),
io.Boolean.Input(
"strict_duration",
default=False,
advanced=True,
tooltip="If True, when the specified duration is not possible, an error will be raised.",
),
],
outputs=[
io.Video.Output(),
],
)
@classmethod
def execute(cls, video: io.Video.Type, trim: io.VideoEdit.Type, strict_duration: bool) -> io.NodeOutput:
trimmed = apply_video_trim(video, (trim or {}).get("trim"), strict_duration=strict_duration)
return io.NodeOutput(trimmed, ui=save_video_preview(trimmed))
class VideoCrop(io.ComfyNode):
@classmethod
def define_schema(cls):
return io.Schema(
node_id="VideoCrop",
display_name="Crop Video",
search_aliases=["crop video", "cut region", "spatial crop"],
category="video",
is_experimental=True,
is_output_node=True,
essentials_category="Video Tools",
has_intermediate_output=True,
inputs=[
io.Video.Input("video"),
io.VideoEdit.Input(
"crop",
features=["crop"],
tooltip="Crop region in pixels. Zero width/height keeps the full frame.",
),
],
outputs=[
io.Video.Output(),
],
)
@classmethod
def execute(cls, video: io.Video.Type, crop: io.VideoEdit.Type) -> io.NodeOutput:
cropped = apply_video_crop(video, (crop or {}).get("crop"))
return io.NodeOutput(cropped, ui=save_video_preview(cropped))
class VideoExtension(ComfyExtension):
@override
async def get_node_list(self) -> list[type[io.ComfyNode]]:
@@ -388,6 +519,8 @@ class VideoExtension(ComfyExtension):
GetVideoComponents,
LoadVideo,
VideoSlice,
VideoTrim,
VideoCrop,
]
async def comfy_entrypoint() -> VideoExtension:

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@@ -8,6 +8,7 @@ import io
import numpy as np
from fractions import Fraction
from comfy_api.input_impl.video_types import VideoFromFile, VideoFromComponents
from comfy_api.latest._util.video_types import normalize_crop_rect
from comfy_api.util.video_types import VideoComponents, VideoContainer, VideoCodec
from comfy_api.input.basic_types import AudioInput
from av.error import InvalidDataError
@@ -1290,3 +1291,60 @@ def test_save_to_transcode_skips_undecodable_audio():
for path in (mixed, all_bad):
if path:
os.unlink(path)
def test_as_trimmed_strict_duration_gates_unavailable_length(simple_video_file):
video = VideoFromFile(simple_video_file)
assert video.as_trimmed(0.0, 10.0, strict_duration=True) is None
relaxed = video.as_trimmed(0.0, 10.0, strict_duration=False)
assert relaxed is not None
assert relaxed.get_duration() < 10.0
assert relaxed.get_duration() == pytest.approx(video.get_duration(), abs=EPSILON)
def test_normalize_crop_rect_aligns_odd_origin_to_chroma_grid():
assert normalize_crop_rect(1, 1, 100, 100, 1920, 1080) == (0, 0, 100, 100)
assert normalize_crop_rect(3, 5, 10, 9, 64, 48) == (2, 4, 10, 8)
assert normalize_crop_rect(0, 0, 64, 48, 64, 48) is None
def _create_marker_video(path, width=64, height=48, marker_x=2, frames=3, fps=8):
with av.open(path, mode="w") as container:
stream = container.add_stream("h264", rate=fps)
stream.width = width
stream.height = height
stream.pix_fmt = "yuv420p"
pixels = torch.zeros(height, width, 3, dtype=torch.uint8).numpy()
pixels[:, marker_x:marker_x + 2, :] = 255
for _ in range(frames):
frame = av.VideoFrame.from_ndarray(pixels, format="rgb24")
frame = frame.reformat(format="yuv420p")
container.mux(stream.encode(frame))
container.mux(stream.encode(None))
def _brightest_column(images):
return images[0].float().mean(dim=(0, 2)).argmax().item()
def test_cropped_decode_and_save_paths_select_same_pixels(tmp_path):
source = str(tmp_path / "marker.mp4")
_create_marker_video(source, marker_x=4)
cropped = VideoFromFile(source).as_cropped(3, 1, 16, 16)
components = cropped.get_components()
assert tuple(components.images.shape[1:3]) == (16, 16)
decode_column = _brightest_column(components.images)
assert decode_column in (2, 3)
saved = str(tmp_path / "cropped.mp4")
cropped.save_to(saved)
saved_components = VideoFromFile(saved).get_components()
assert tuple(saved_components.images.shape[1:3]) == (16, 16)
save_column = _brightest_column(saved_components.images)
assert save_column in (2, 3)
assert decode_column == save_column