feat: add VideoTrim and VideoCrop nodes with VIDEO_EDIT widget inputs

comfy_api/latest/_input/video_types.py

@@ -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):
     """
@@ -31,12 +31,15 @@ class VideoInput(ABC):
         bit_depth: int | None = None,
         crf: float | None = None,
         color_space: str | None = None,
+        preset: str | None = None,
     ):
         """
         Abstract method to save the video input to a file.
 
         bit_depth selects the encoded bit depth; None keeps the video's native depth.
         crf selects the H.264 or AV1 constant rate factor; None uses the encoder default.
+        preset selects the H.264 encoder speed/compression trade-off (e.g. "ultrafast");
+        None uses the encoder default. Ignored for other codecs.
         color_space="sRGB" selects SDR BT.709/sRGB, "HDR" selects BT.2020/HLG, and "HDR PQ"
         selects BT.2020/PQ. Bit depth is selected independently.
         Tensor-created videos default to sRGB when color_space is None. Loaded videos keep matching recognized native color
@@ -63,6 +66,45 @@ 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, :].clone(),
+                audio=components.audio,
+                frame_rate=components.frame_rate,
+                metadata=components.metadata,
+                alpha=components.alpha[:, cy:cy + ch, cx:cx + cw].clone()
+                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

comfy_api/latest/_input_impl/video_types.py

@@ -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
 
 
@@ -180,12 +181,18 @@ def video_stream_color_space(stream) -> str | None:
     return VIDEO_TRANSFER_COLOR_SPACES.get(stream.color_trc)
 
 
-def video_encoder_options(codec: VideoCodec, crf: float | None) -> dict[str, str]:
-    if crf is None:
-        return {}
-    if codec == VideoCodec.AV1 and crf == 0:
-        return {"svtav1-params": "lossless=1"}
-    return {"crf": str(crf)}
+def video_encoder_options(
+    codec: VideoCodec, crf: float | None, preset: str | None = None
+) -> dict[str, str]:
+    options = {}
+    if preset is not None and codec == VideoCodec.H264:
+        options["preset"] = preset
+    if crf is not None:
+        if codec == VideoCodec.AV1 and crf == 0:
+            options["svtav1-params"] = "lossless=1"
+        else:
+            options["crf"] = str(crf)
+    return options
 
 
 def webm_streams_compatible(streams) -> bool:
@@ -196,12 +203,17 @@ 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 +221,7 @@ 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 +251,31 @@ 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:
@@ -395,6 +432,7 @@ class VideoFromFile(VideoInput):
 
     def get_components_internal(self, container: InputContainer) -> VideoComponents:
         video_stream = self._get_first_video_stream(container)
+        video_stream.thread_type = "AUTO"
         start_time, duration = self.get_active_trim_window()
 
         # Get video frames
@@ -415,6 +453,8 @@ 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 +525,16 @@ 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:
@@ -554,6 +601,7 @@ class VideoFromFile(VideoInput):
         bit_depth: int | None = None,
         crf: float | None = None,
         color_space: str | None = None,
+        preset: str | None = None,
     ):
         if color_space is not None and color_space not in VIDEO_COLOR_TRANSFERS:
             raise ValueError(f"Unsupported video color space: {color_space}")
@@ -586,11 +634,13 @@ 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:
                     bit_depth = source_bit_depth
-                return self._save_transcoded(container, path, format=format, codec=codec, metadata=metadata, bit_depth=bit_depth, crf=crf, color_space=color_space)
+                return self._save_transcoded(container, path, format=format, codec=codec, metadata=metadata, bit_depth=bit_depth, crf=crf, color_space=color_space, preset=preset)
 
             streams = container.streams
 
@@ -625,10 +675,12 @@ class VideoFromFile(VideoInput):
         bit_depth: int,
         crf: float | None = None,
         color_space: str | None = None,
+        preset: str | None = None,
     ):
         """Re-encode one frame at a time; peak memory does not scale with video length."""
         open_kwargs, output_format, output_codec = video_output_config(path, format, codec)
         video_stream = self._get_first_video_stream(container)
+        video_stream.thread_type = "AUTO"
         start_time, duration = self.get_active_trim_window()
         start_pts = int(start_time / video_stream.time_base)
         end_pts = int((start_time + duration) / video_stream.time_base) if duration else None
@@ -671,6 +723,16 @@ 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
@@ -683,6 +745,8 @@ 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 = []
@@ -756,13 +820,27 @@ 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
@@ -774,7 +852,7 @@ class VideoFromFile(VideoInput):
                             out_video.width = out_width
                             out_video.height = out_height
                             out_video.pix_fmt = pix_fmt
-                            out_video.options = video_encoder_options(output_codec, crf)
+                            out_video.options = video_encoder_options(output_codec, crf, preset)
                             if preserve_source_color:
                                 copy_color_properties(video_stream, out_video.codec_context)
                             elif color_space is not None:
@@ -808,6 +886,19 @@ 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")
@@ -850,6 +941,7 @@ 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())):
@@ -919,11 +1011,42 @@ 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):
     """
@@ -943,6 +1066,8 @@ 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:
@@ -960,6 +1085,7 @@ class VideoFromComponents(VideoInput):
         bit_depth: int | None = None,
         crf: float | None = None,
         color_space: str | None = None,
+        preset: str | None = None,
     ):
         """Save the video to a file path or BytesIO buffer."""
         if color_space is None:
@@ -984,7 +1110,7 @@ class VideoFromComponents(VideoInput):
             video_stream.width = self.__components.images.shape[2]
             video_stream.height = self.__components.images.shape[1]
             video_stream.pix_fmt = pix_fmt
-            video_stream.options = video_encoder_options(output_codec, crf)
+            video_stream.options = video_encoder_options(output_codec, crf, preset)
             if color_space is not None:
                 set_video_color_properties(video_stream.codec_context, color_space)
 

comfy_api/latest/_io.py

@@ -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",
 ]

comfy_api/latest/_util/__init__.py

@@ -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",

comfy_api/latest/_util/video_types.py

@@ -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

comfy_extras/nodes_video.py

@@ -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
@@ -295,6 +296,7 @@ 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),
             ],
@@ -306,7 +308,8 @@ 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):
@@ -323,6 +326,67 @@ 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",
+        preset="ultrafast",
+    )
+    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):
@@ -370,6 +434,74 @@ 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]]:
@@ -380,6 +512,8 @@ class VideoExtension(ComfyExtension):
             GetVideoComponents,
             LoadVideo,
             VideoSlice,
+            VideoTrim,
+            VideoCrop,
         ]
 
 async def comfy_entrypoint() -> VideoExtension:

tests-unit/comfy_api_test/video_types_test.py

@@ -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
@@ -1304,3 +1305,106 @@ 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
+
+
+def test_as_cropped_components_releases_uncropped_storage():
+    images = torch.rand(2, 8, 8, 3)
+    video = VideoFromComponents(
+        VideoComponents(images=images, frame_rate=Fraction(8))
+    )
+
+    cropped = video.as_cropped(0, 0, 4, 4)
+    cropped_images = cropped.get_components().images
+
+    assert tuple(cropped_images.shape[1:3]) == (4, 4)
+    assert (
+        cropped_images.untyped_storage().data_ptr()
+        != images.untyped_storage().data_ptr()
+    )
+
+
+def test_video_encoder_options_applies_h264_preset():
+    from comfy_api.latest._input_impl.video_types import video_encoder_options
+
+    assert video_encoder_options(VideoCodec.H264, None, "ultrafast") == {
+        "preset": "ultrafast"
+    }
+    assert video_encoder_options(VideoCodec.H264, 23.0, "ultrafast") == {
+        "preset": "ultrafast",
+        "crf": "23.0",
+    }
+    assert video_encoder_options(VideoCodec.H264, 23.0, None) == {"crf": "23.0"}
+    assert video_encoder_options(VideoCodec.AV1, None, "ultrafast") == {}
+    assert video_encoder_options(VideoCodec.AV1, 0, "ultrafast") == {
+        "svtav1-params": "lossless=1"
+    }
+
+
+def test_save_to_preset_transcodes_playable_output(tmp_path):
+    source = create_test_video(width=32, height=32)
+    try:
+        out = str(tmp_path / "preset.mp4")
+        VideoFromFile(source).as_cropped(0, 0, 16, 16).save_to(
+            out, preset="ultrafast"
+        )
+        saved = VideoFromFile(out).get_components()
+        assert tuple(saved.images.shape[1:3]) == (16, 16)
+    finally:
+        os.unlink(source)

tests-unit/comfy_extras_test/test_video_preview_nodes.py

@@ -0,0 +1,52 @@
+"""Tests for video preview generation in comfy_extras/nodes_video.py."""
+import os
+
+import av
+import torch
+
+import folder_paths
+from comfy_api.input_impl.video_types import VideoFromFile
+from comfy_extras import nodes_video
+
+
+def _make_video(path, width=64, height=48, frames=3, fps=8):
+    with av.open(str(path), "w") as container:
+        stream = container.add_stream("h264", rate=fps)
+        stream.width = width
+        stream.height = height
+        stream.pix_fmt = "yuv420p"
+        for _ in range(frames):
+            frame = av.VideoFrame.from_ndarray(
+                torch.zeros(height, width, 3, dtype=torch.uint8).numpy(),
+                format="rgb24",
+            )
+            for packet in stream.encode(frame.reformat(format="yuv420p")):
+                container.mux(packet)
+        for packet in stream.encode(None):
+            container.mux(packet)
+    return str(path)
+
+
+def test_save_video_preview_encodes_cropped_video(tmp_path, monkeypatch):
+    monkeypatch.setattr(folder_paths, "get_temp_directory", lambda: str(tmp_path))
+
+    source = _make_video(tmp_path / "src.mp4")
+    cropped = VideoFromFile(source).as_cropped(0, 0, 32, 24)
+
+    preview = nodes_video.save_video_preview(cropped)
+    entry = preview.as_dict()["images"][0]
+
+    preview_path = os.path.join(str(tmp_path), entry["subfolder"], entry["filename"])
+    assert VideoFromFile(preview_path).get_dimensions() == (32, 24)
+
+
+def test_save_video_preview_reuses_cached_result(tmp_path, monkeypatch):
+    monkeypatch.setattr(folder_paths, "get_temp_directory", lambda: str(tmp_path))
+
+    source = _make_video(tmp_path / "src.mp4")
+    cropped = VideoFromFile(source).as_cropped(0, 0, 32, 24)
+
+    first = nodes_video.save_video_preview(cropped).as_dict()["images"][0]
+    second = nodes_video.save_video_preview(cropped).as_dict()["images"][0]
+
+    assert second == first