ComfyUI Extension: Simple Video Effects

Authored by scofano

Created 9 months ago

Updated 2 months ago

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Nodes for Video effects. Zoom In/Out - new features soon.

README

Header

🎞️ ComfyUI Simple Video Effects

A collection of lightweight, production-ready video manipulation nodes for ComfyUI. All nodes operate on batched IMAGE tensors (B, H, W, C) and are designed for smooth, high-quality transformations without breaking aspect ratio.

🚀 GPU Acceleration Support

Select nodes now support NVIDIA GPU-accelerated encoding with automatic CPU fallback:

ImageTransitionNode – Optional use_gpu parameter (hevc_nvenc, 5-10x faster)
VideoImageOverlay – Optional use_gpu parameter (hevc_nvenc, 4-8x faster)
VideoSplitterNode – Optional use_gpu parameter (hevc_nvenc, 5-10x faster)
VideoLoopExtenderNode – Built-in use_gpu parameter (hevc_nvenc, 5-10x faster)
ComfyVideoCombiner – Built-in use_gpu parameter (h264_nvenc, default enabled)
ColorAdjustmentVideoNode – Built-in use_gpu parameter (hevc_nvenc, default enabled)

Note: GPU encoding defaults to use_gpu=False (conservative) for new Phase 2 nodes. Users can opt-in for 5-10x speedup. If NVIDIA GPU is unavailable or NVENC fails, the node automatically falls back to libx264.

This bundle includes:

<details> <summary>01. Zoom Sequence ➜ Single-batch zoom in/out with easing.</summary>

Single-batch smooth zoom-in/out with aspect-correct cropping Source: comfy_zoom_sequence.py

What it does

Creates a smooth zoom-in or zoom-out animation across a batch of frames while maintaining the original canvas size and aspect ratio.

Key Features

Zoom direction: in, out, or random
Amount type: Pixels per Frame or Target Percentage
Choose from: Linear, Ease-In, Ease-Out, Ease-In-Out, Random
Automatic aspect-correct cropping
Prevents over-zooming using safe margin clamp

Inputs

| Name | Type | Description | | ------------------ | ----------------------------------------- | --------------------------------------------- | | images | IMAGE | Batched frames | | direction | Zoom In / Zoom Out / Random | Zoom direction | | amount_type | Pixels per Frame / Target Percentage | Select pixel-speed mode or timeline percentage mode | | pixels_per_frame | FLOAT | Used when amount_type = Pixels per Frame | | zoom_percentage | INT | Used when amount_type = Target Percentage (default 110 = 110%) | | ease | Linear / Ease_In / Ease_Out / Ease_In_Out / Random | | | random_seed | INT | Seed used by Random direction/ease. 0 = auto-random each execution | | smooth_subpixel | BOOLEAN | Enables subpixel zoom sampling for smoother low-speed/long-duration motion |

Outputs

images – transformed frames
info – diagnostics, safe-limit notes, applied margins

How it works

The node computes a per-frame eased progress value, converts it into a small-dimension margin, and crops proportionally on both axes to retain aspect ratio before resizing back to original resolution.

When smooth_subpixel = True (default), the margin is converted to a continuous zoom factor and applied with subpixel sampling (grid_sample) for smoother low-speed and long-duration zooms. When smooth_subpixel = False, classic integer crop/resize is used.

If ease = Random, one easing curve is randomly chosen per execution from: Linear, Ease_In, Ease_Out, Ease_In_Out. If direction = Random, one direction is randomly chosen per execution from: Zoom In, Zoom Out. When Random mode is enabled and random_seed = 0, the node forces re-execution each run so ComfyUI does not cache/skip the random roll.

random_seed behavior summary:

0 → auto-random per execution (fresh roll each run)
> 0 → deterministic random roll (reproducible)
If neither direction nor ease is Random, seed has no effect

</details> <details> <summary>02. Batched Zoom Sequence ➜ Persistent zoom across multiple batches.</summary>

Persistent zoom across multiple batches Source: batch_comfy_zoom_sequence.py

What it does

Extends ZoomSequence to support streamed / chunked video processing. Zoom state is stored in a temporary JSON file and automatically resumes between node calls.

Key Features

Continues zoom from previous batch
Automatically clears state when end-of-video is reached
Fully aspect-correct
Same easing options and zoom behavior as single-batch version

Inputs

| Name | Type | Description | | -------------------- | ----------- | ------------------------------------- | | images | IMAGE | Batch of frames | | source_frame_count | INT | Total number of frames in whole video | | direction | Zoom In/Out/Random | Zoom direction | | amount_type | Select | Pixels per Frame / Target Percentage | | pixels_per_frame | FLOAT | Used when amount_type = Pixels per Frame | | zoom_percentage | INT | Used when amount_type = Target Percentage | | ease | Easing mode (Linear / Ease_In / Ease_Out / Ease_In_Out / Random) | | | random_seed | INT | Seed used for Random direction/ease. 0 = auto-random each execution (kept consistent across chunks) | | smooth_subpixel | BOOLEAN | Enables subpixel zoom sampling for smoother progression |

How it works

The node tracks:

Last processed global frame index
Max zoom margin
Canvas dimensions
Easing + mode consistency

State resets when the node reaches frame source_frame_count - 1.

If smooth_subpixel = True, zoom sampling is continuous while timeline continuity is still preserved across batches. If direction = Random, the batch node rolls once and keeps the same chosen direction across all chunks of that sequence. If ease = Random, the batch node rolls once and keeps the same chosen easing across all chunks of that sequence. With random_seed = 0, a new effective seed is generated when a new sequence starts; that effective seed is then kept for all chunks in that sequence.

random_seed behavior summary (batch):

0 + Random mode → new effective seed at sequence start, consistent across all chunks of that sequence
> 0 + Random mode → deterministic/reproducible across runs
If neither direction nor ease is Random, seed has no effect

</details> <details> <summary>03. Camera Move ➜ Pan/slide across the frame.</summary>

Smooth pan / slide / 2D translation Source: comfy_camera_move.py

What it does

Moves the camera viewport across the frame in X/Y over the batch, creating a pan or tracking-shot effect.

Typical Controls

move_x_start, move_x_end
move_y_start, move_y_end
ease
clamp_edges
pixels_per_frame or percentage-based movement

Output

Frames translated with border fill (usually black or edge-clamped)
Handy for synthetic dolly, parallax, or motion-graphics effects

</details> <details> <summary>04. Camera Shake ➜ Procedural handheld/chaotic motion.</summary>

Procedural handheld shake Source: comfy_camera_shake.py

What it does

Adds natural-feeling camera shake using circular or random motion patterns.

Features

Circular or random shake modes
Adjustable shake radius
Easing control for shake envelope
Loop toggle for seamless looping
Aspect-correct cropping prevents black edges

Great for action shots, handheld look, or simulating vibrations.

</details> <details> <summary>05. Video Overlay ➜ Alpha-blend / composite one video over another.</summary>

Composite one video onto another Source: comfy_video_overlay.py

What it does

Alpha-blends a foreground video onto a background video.

Features

Supports per-pixel alpha channel
Automatic batch alignment
Position + scale controls
Optional auto-fit

</details> <details> <summary>06. Image Transition ➜ Create transition videos between two images.</summary>

Create smooth transition videos between two images Source: comfy_image_transition.py

What it does

Generates an MP4 video that transitions from one image to another using a mask-based reveal effect, with optional line visualization.

Key Features

Horizontal or vertical reveal direction
Adjustable duration in seconds
Optional visible line at the reveal edge with customizable thickness and color
Automatic filename generation with prefix + "_001.mp4"
Saves to ComfyUI's default output directory

Inputs

| Name | Type | Description | | ------------ | ------------- | ------------------------------------ | | image1 | IMAGE | Bottom layer image | | image2 | IMAGE | Top layer image (revealed) | | duration | FLOAT | Transition duration in seconds | | direction | Select | Reveal direction: Vertical-Down, Vertical-Up, Horizontal-Left, Horizontal-Right | | line_toggle| BOOLEAN | Enable/disable visible line | | thickness | INT | Line thickness in pixels | | hex_color | STRING | Line color as hex (e.g., #FFFFFF) | | prefix | STRING | Filename prefix |

Outputs

output_path – Full path to the generated MP4 file

How it works

The node creates a frame-by-frame animation where image2 is gradually revealed over image1 using a dynamic mask. If enabled, a colored line marks the current reveal position. Frames are encoded into an MP4 video using ffmpeg at 24 FPS.

</details> <details> <summary>07. Simple Folder Video Combiner ➜ Concatenate multiple video files from a directory.</summary>

Simple concatenation of multiple video files from a directory Source: comfy_simple_video_combiner.py

What it does

Takes a directory path and concatenates all video files matching a pattern (e.g., *.mp4) into a single output video file. Files are combined in alphabetical order using efficient ffmpeg concatenation.

Key Features

Simple and fast video concatenation
Automatic file discovery with glob pattern matching
Supports GPU-accelerated encoding (NVENC)
Unique output filename generation to avoid overwrites
Automatic cleanup of temporary files

Inputs

| Name | Type | Description | | ------------------ | ------- | ------------------------------------------------ | | directory_path | STRING | Path to directory containing video files | | output_filename | STRING | Name for output file (default: "combined_output.mp4") | | file_pattern | STRING | Glob pattern for matching files (default: "*.mp4") | | use_gpu | BOOLEAN | Enable GPU encoding (NVENC) (default: True) | | recursive | BOOLEAN | Process subdirectories recursively (creates separate videos per folder) |

Outputs

output_path – Full path to the concatenated video file (non-recursive) or newline-separated list of output paths (recursive mode, one per line)

How it works

Non-recursive mode (default):

Scans the specified directory for files matching the pattern
Sorts files alphabetically
Creates a temporary concat file list for ffmpeg
Uses ffmpeg's concat demuxer to join videos efficiently
Encodes output with H.264 (optionally with NVENC GPU acceleration)
Cleans up temporary files automatically

Recursive mode:

Scans the specified directory for subdirectories
For each subdirectory found, processes it like non-recursive mode
Generates unique output filenames based on subdirectory names
Returns a newline-separated string containing all output file paths
Skips subdirectories that contain no valid video files (with console warning)

Performance

Uses ffmpeg's optimized concat demuxer (no re-encoding of content)
GPU acceleration available for final output encoding
Minimal memory usage and fast processing

Use Cases

Combining multiple video clips from a sequence
Merging rendered animation frames
Creating compilation videos from separate segments

</details> <details> <summary>08. Advanced Folder Video Combiner ➜ Advanced video combining with transitions, fades, and audio.</summary>

This script provides a ComfyUI-compatible node for automatically combining multiple video files from a directory into a single edited output. It offers robust handling of transitions, fades, audio overlays, randomization, and resolution normalization—all wrapped in an easy-to-use, configurable ComfyUI node.

Inspired by: DarioFT / ComfyUI-VideoDirCombiner

✨ Features

🔍 Directory Scanning & File Control

Scans a target directory for video files matching a pattern (e.g., *.mp4).
Supports alphabetical sorting.
Supports randomized order with optional seed.
Guarantees no repeated clips.

🎬 Video Transitions & Fades

Optional crossfade transitions between clips.
Optional fade-in from a solid color.
Optional fade-out to a solid color.
All fade colors sanitized to #RRGGBB.

🔊 Audio Integration (VideoHelperSuite)

Accepts VHS/ComfyUI audio format input.
Supports both:
- Direct audio file paths, or
- Waveform + sample rate tensors (auto-converted to WAV).
Optional trimming of final video to match audio duration.
Final fade-out will automatically adjust to audio length if needed.

⚙️ Resolution & FPS Normalization

Detects the first video’s:
- width
- height
- FPS
Normalizes all clips (and color fades) to match it, ensuring alignment and avoiding FPS-related errors.

🚀 Performance

Uses parallel duration probing (ThreadPoolExecutor).
Uses optimized ffmpeg filter-graphs for transitions.
Automatic cleanup of temporary files.

🧪 Safety & Robustness

Unique output filenames (avoids overwriting).
Detailed validation and error messages.
Proper handling of edge cases like:
- Clips shorter than transition duration
- Invalid hex color input
- Missing or malformed audio dicts

🛠️ Inputs

Required Inputs

| Name | Type | Description | | --------------------- | ------ | --------------------------------- | | directory_path | String | Folder containing video files | | output_filename | String | Name of final output file | | file_pattern | String | File glob pattern (e.g., *.mp4) | | transition | Select | none or fade between clips | | transition_duration | Float | Fade duration between clips |

Optional Inputs

| Name | Type | Purpose | | ------------------- | ------- | ------------------------------ | | sort_files | Boolean | Sort clips alphabetically | | random_order | Boolean | Shuffle order (overrides sort) | | seed | Int | Seeded randomization | | music_track | AUDIO | VideoHelperSuite audio object | | trim_to_audio | Boolean | End video when audio ends | | fade_in_enabled | Bool | Prepend a color fade-in | | fade_in_color | String | Hex color | | fade_in_duration | Float | Fade-in length | | fade_out_enabled | Bool | Append/force fade-out | | fade_out_color | String | Hex color | | fade_out_duration | Float | Fade-out length |

📤 Output

The node returns a single string: output_path → Full path to the generated video file.

🧩 How It Works Internally

1. Load & Order Files

Uses glob pattern matching and optional sorting/shuffling.

2. Extract Video Metadata

Parallel ffprobe calls retrieve durations and video stream info.

3. Build FFmpeg Filtergraph

Depending on settings:

Simple concatenation OR
Complex graph with:
- normalized FPS
- color clip generation
- chained xfade transitions
- final fade-out tied to audio
- overlaying custom audio

4. Render via FFmpeg

Quiet ffmpeg execution ensures efficient rendering.

5. Cleanup

Temporary files (WAV audio, concat lists) are deleted automatically.

📝 Notes

If audio trimming is enabled, the script ensures fade-outs occur before the audio ends.
Fades and transitions never exceed clip lengths; they are automatically clamped.
Color fade-ins and fade-outs use ffmpeg's color source generator.

</details> <details> <summary>09. Video Splitter (ASS Subtitles) ➜ Split videos based on subtitle punctuation.</summary>

Split videos based on punctuation marks in ASS subtitle files Source: comfy_video_splitter.py

What it does

Automatically splits a video into segments based on punctuation marks (., !, ?) found at the end of dialogue lines in ASS subtitle files. Each segment is saved as a separate MP4 file in a timestamped output folder.

Key Features

Parses ASS subtitle files to extract dialogue timings and text
Splits video at the end times of dialogues ending with specified divider characters
Ensures minimum segment duration to avoid very short clips
Adds configurable padding to segment ends (except the last segment)
Maintains 1-frame gaps between segments for clean transitions
Re-encodes segments for precise cutting and audio synchronization
Automatic folder creation with incremental naming to avoid overwrites

Inputs

| Name | Type | Description | | --------------------- | ------ | ------------------------------------------------ | | video_path | STRING | Full path to the input video file | | ass_path | STRING | Full path to the ASS subtitle file | | divider_chars | STRING | Characters to split on (default: ".!?") | | folder_prefix | STRING | Prefix for output folder name | | min_audio_duration | INT | Minimum segment duration in seconds (default: 5) | | end_padding | FLOAT | Seconds to add to end of each segment (default: 0.2) |

Outputs

output_folder – Full path to the folder containing split video segments

How it works

Parses the ASS file to find dialogues ending with divider characters
Filters split points to ensure each segment meets the minimum duration
Splits the video using ffmpeg with precise start/end times
Adds padding to segment ends while maintaining frame-accurate gaps
Saves segments as original_filename_[000].mp4, [001].mp4, etc.

Special Handling

Treats "…" (ellipsis) as "." for splitting
Ignores sequences like ".." or "..." as invalid dividers
Cleans ASS formatting tags from subtitle text
Ensures no segments are shorter than the minimum duration by combining when necessary

</details> <details> <summary>10. Camera Move (Video File) ➜ Apply camera movement to video files with audio preservation.</summary>

Apply camera movement effects to video files with audio preservation Source: comfy_camera_move_video.py

What it does

Takes a video file path and applies the same camera movement effects as the image-based Camera Move node, then outputs a new video file with the original audio intact (if present).

Key Features

All camera movement options from the image version (pan, slide, diagonal)
Extracts frames from input video at original FPS
Applies movement effects using the same algorithm
Re-encodes frames back to video while preserving audio stream
Automatic output filename generation with incrementing numbers
Supports random direction selection with proper cache invalidation

Inputs

| Name | Type | Description | | --------------------- | ------ | ------------------------------------------------ | | video_path | STRING | Full path to the input video file | | horizontal_direction| Select | None, Left, Right, Random | | vertical_direction | Select | None, Top, Bottom, Random | | distance_px | FLOAT | Camera travel distance in pixels (default: 100.0)| | ease | Select | Linear, Ease_In, Ease_Out, Ease_In_Out | | prefix | STRING | Output filename prefix (default: "camera_move") |

Outputs

output_path – Full path to the processed video file

How it works

Extracts video metadata (duration, FPS, resolution) using ffprobe
Extracts all frames from the video using ffmpeg
Applies camera movement transformations to the frame sequence
Saves processed frames as temporary PNG files
Re-encodes frames to video at original FPS with H.264 codec
Copies original audio stream (if present) into the final video
Cleans up temporary frame files automatically

Movement Directions

Supports the same movement options as the image Camera Move node:

Horizontal: Left (right-to-left pan), Right (left-to-right pan)
Vertical: Top (bottom-to-top pan), Bottom (top-to-bottom pan)
Combined: Diagonal movement by selecting both horizontal and vertical directions
Random: Randomly chooses direction each execution

Audio Handling

Automatically detects and preserves audio streams from the original video
Uses ffmpeg stream copying for lossless audio preservation
Works with any audio codec supported by the input video

</details> <details> <summary>11. Camera Shake (Video File) ➜ Apply camera shake effects to video files with audio preservation.</summary>

Apply camera shake effects to video files with audio preservation Source: comfy_camera_shake_video.py

What it does

Takes a video file path and applies procedural camera shake effects (circular or random patterns), then outputs a new video file with the original audio intact (if present).

Key Features

All camera shake options from the image version (circular/random modes, intensity, easing)
Extracts frames from input video at original FPS
Applies shake effects using the same algorithm with safe cropping
Re-encodes frames back to video while preserving audio stream
Automatic output filename generation with incrementing numbers
Supports configurable shake radius and easing envelopes

Inputs

| Name | Type | Description | | ----------------- | ------- | -------------------------------------------------- | | video_path | STRING | Full path to the input video file | | mode | Select | Circular Shake, Random Shake | | pixels_per_frame| FLOAT | Shake radius on smaller dimension (default: 5.0) | | ease | Select | Linear, Ease_In, Ease_Out, Ease_In_Out | | loop | BOOLEAN | Enable seamless looping (default: False) | | prefix | STRING | Output filename prefix (default: "camera_shake") |

Outputs

output_path – Full path to the processed video file

How it works

Extracts video metadata (duration, FPS, resolution) using ffprobe
Extracts all frames from the video using ffmpeg
Applies camera shake transformations using aspect-corrected cropping
Saves processed frames as temporary PNG files
Re-encodes frames to video at original FPS with H.264 codec
Copies original audio stream (if present) into the final video
Cleans up temporary frame files automatically

Shake Modes

Supports the same shake patterns as the image Camera Shake node:

Circular Shake: Smooth sinusoidal circular motion with configurable cycles
Random Shake: Constant-magnitude random directional steps (±1 pixel steps)

Shake Control

Radius: Controls maximum shake displacement based on smaller canvas dimension
Easing: Applies envelope over time (0..1) to modulate shake intensity
Loop: When enabled, forces circular shake with constant radius for seamless looping
Safe Cropping: Uses aspect-corrected margins to prevent black borders during shake

Audio Handling

Automatically detects and preserves audio streams from the original video
Uses ffmpeg stream copying for lossless audio preservation
Works with any audio codec supported by the input video

</details> <details> <summary>12. Zoom Sequence (Video File) ➜ Apply zoom effects to video files with audio preservation.</summary>

Apply zoom effects to video files with audio preservation Source: comfy_zoom_sequence_video.py

What it does

Takes a video file path and applies smooth zoom in/out effects with aspect correction, then outputs a new video file with the original audio intact (if present).

Key Features

All zoom options from the image version (direction, amount type, easing)
Extracts frames from input video at original FPS
Applies zoom effects using subpixel sampling (default) or classic aspect-corrected crop/resize
Re-encodes frames back to video while preserving audio stream
Output saved in the same folder as the source video
Automatic output filename generation with incrementing numbers
Supports configurable zoom speed or target timeline percentage

Inputs

| Name | Type | Description | | ----------------- | ------ | -------------------------------------------------- | | video_path | STRING | Full path to the input video file | | direction | Select | Zoom In, Zoom Out, Random | | amount_type | Select | Pixels per Frame, Target Percentage | | pixels_per_frame| FLOAT | Used when amount_type = Pixels per Frame | | zoom_percentage | INT | Used when amount_type = Target Percentage (default: 110) | | ease | Select | Linear, Ease_In, Ease_Out, Ease_In_Out, Random | | random_seed | INT | Seed used by Random direction/ease. 0 = auto-random each execution | | smooth_subpixel | BOOLEAN | Enables subpixel zoom sampling for smoother motion | | prefix | STRING | Output filename prefix (default: "zoom_sequence") |

Outputs

output_path – Full path to the processed video file

How it works

Extracts video metadata (duration, FPS, resolution) using ffprobe
Extracts all frames from the video using ffmpeg
Applies zoom transformations using smooth_subpixel (continuous) or integer crop/resize mode
Saves processed frames as temporary PNG files
Re-encodes frames to video at original FPS with H.264 codec
Copies original audio stream (if present) into the final video
Cleans up temporary frame files automatically

Zoom Modes

Direction
- Zoom In: Progressively zooms in from original view to a cropped detail
- Zoom Out: Progressively zooms out from cropped detail to full view
- Random: Randomly chooses Zoom In or Zoom Out for the whole execution
Amount Type
- Pixels per Frame: Uses fixed pixel-speed progression
- Target Percentage: Reaches a target zoom (e.g. 110%) over the full sequence duration

Zoom Control

Speed: Controls zoom progression rate per frame
Easing: Applies smooth acceleration/deceleration to zoom movement
Random Easing: If selected, one easing mode is randomly chosen for the whole execution
Auto Seed Behavior: If Random is used and random_seed = 0, the node forces re-execution each run to produce a fresh random roll
Deterministic Seed Behavior: If random_seed > 0, Random direction/easing becomes reproducible across runs
Aspect Correction: Maintains proper aspect ratio during zoom transitions
Safe Limits: Prevents over-zooming beyond canvas boundaries

Audio Handling

Automatically detects and preserves audio streams from the original video
Uses ffmpeg stream copying for lossless audio preservation
Works with any audio codec supported by the input video

</details> <details> <summary>13. Close Up (Face Centered) ➜ Face-centered zoom using eye detection from SEGS.</summary>

Face-centered zoom using eye detection from SEGS data Source: comfy_close_up.py

What it does

Takes a video file and SEGS segmentation data to detect eyes, calculates the center point between them (face center), and applies a zoom effect centered on that point. Outputs a new video with preserved audio.

Key Features

Processes SEGS data to find eye detections with confidence > 0.4
Calculates face center as midpoint between detected eye positions
Applies zoom factor centered on the calculated face center
Maintains aspect ratio and prevents over-zooming
Preserves original audio streams
Output saved in the same folder as the source video
Automatic output filename generation with incrementing numbers

Requirements

Important: To use the close up nodes (both video and image versions), you must first install the Impact Pack nodes from https://github.com/ltdrdata/ComfyUI-Impact-Pack to enable SEGS functionality.

This node requires a specific workflow setup to generate the SEGS data for eye detection:

Download the eye segmentation model: Download PitEyeDetailer-v2-seg.pt from the Ultralytics models or compatible sources
Use the provided workflow: The node requires SEGS data generated from video frames using segmentation detection

Example Workflow Setup:

Video Path String → VHS_LoadVideoPath → SegmDetectorSEGS → CloseUpNode
                          ↓
UltralyticsDetectorProvider (with PitEyeDetailer-v2-seg.pt)

The workflow uses:

UltralyticsDetectorProvider: Load the segm/PitEyeDetailer-v2-seg.pt model
VHS_LoadVideoPath: Load video frames (set frame_load_cap to 1 for single frame detection)
SegmDetectorSEGS: Generate SEGS data from eye segmentation on the video frame
CloseUpNode: Process the video with face-centered zoom

Inputs

| Name | Type | Description | | --------------| ------ | ------------------------------------------------ | | video_path | STRING | Full path to the input video file | | segs | SEGS | Segmentation data containing eye detections | | zoom_factor | FLOAT | Zoom multiplier (default: 1.5, min: 1.0) | | prefix | STRING | Output filename prefix (default: "close_up") |

Outputs

output_path – Full path to the processed video file

How it works

Extracts video metadata (duration, FPS, resolution) using ffprobe
Extracts all frames from the video using ffmpeg
Processes SEGS data to find valid eye detections (label='eye', confidence > 0.4)
Calculates face center as midpoint between the first two detected eye centers
Applies zoom by cropping centered on the face center and resizing back to original dimensions
Saves processed frames as temporary PNG files
Re-encodes frames to video at original FPS with H.264 codec
Copies original audio stream (if present) into the final video
Cleans up temporary frame files automatically

Eye Detection

Filters SEGS for segments with label 'eye' and confidence > 0.4
Requires at least 2 valid eye detections
Calculates eye centers from bounding box coordinates: (x1+x2)/2, (y1+y2)/2
Face center = midpoint between eye centers

Zoom Implementation

Crop region is calculated as original_size / zoom_factor
Crop is centered on the calculated face center point
Clamped to prevent going outside video boundaries
Resized back to original dimensions using bicubic interpolation

Audio Handling

Automatically detects and preserves audio streams from the original video
Uses ffmpeg stream copying for lossless audio preservation
Works with any audio codec supported by the input video

</details> <details> <summary>14. Close Up Image ➜ Image-based face-centered zoom using eye detection from SEGS.</summary>

Image-based face-centered zoom using eye detection from SEGS data Source: comfy_close_up_image.py

What it does

Takes an image and SEGS segmentation data to detect eyes, calculates the center point between them (face center), and applies a zoom effect centered on that point. Supports random zoom factor selection with optional steps.

Key Features

Processes SEGS data to find eye detections with confidence > 0.4
Calculates face center as midpoint between detected eye positions
Applies zoom factor centered on the calculated face center
Optional random zoom factor with customizable range and steps
Maintains aspect ratio and prevents over-zooming
Works with batched images

Requirements

This node requires SEGS data generated from image segmentation detection.

Inputs

| Name | Type | Description | | ------------------| ------- | ------------------------------------------------ | | image | IMAGE | Input image tensor (supports batches) | | segs | SEGS | Segmentation data containing eye detections | | zoom_factor | FLOAT | Base zoom multiplier (default: 1.5, min: 1.0) | | random_zoom | BOOLEAN | Enable random zoom factor selection (default: False) | | seed | INT | Random seed for reproducible results (default: 0)| | zoom_factor_min | FLOAT | Minimum zoom factor for random selection (default: 1.0) | | steps | FLOAT | Step size for random zoom values (default: 0.5) |

Outputs

output_image – Zoomed image(s) with face-centered cropping

How it works

Processes SEGS data to find valid eye detections (label='eye', confidence > 0.4)
Calculates face center as midpoint between the first two detected eye centers
Applies random zoom selection if enabled (chooses from stepped values between min and max)
Crops the image centered on the face center with zoom-adjusted dimensions
Resizes the cropped region back to original dimensions using bicubic interpolation

Eye Detection

Filters SEGS for segments with label 'eye' and confidence > 0.4
Requires at least 2 valid eye detections
Calculates eye centers from bounding box coordinates: (x1+x2)/2, (y1+y2)/2
Face center = midpoint between eye centers

Random Zoom

When enabled, generates possible zoom factors from zoom_factor_min to zoom_factor in steps increments
Randomly selects one zoom factor for each image in the batch using the provided seed for reproducible results
Outputs the selected zoom factor to the CLI for monitoring
Useful for creating variation in zoom levels across multiple images

</details> <details> <summary>15. Video Loop Extender ➜ Duplicate and merge video files multiple times.</summary>

Duplicate and merge video files multiple times Source: comfy_video_loop_extender.py

What it does

Takes a video file path and extends it by duplicating and concatenating the video N times, creating a longer looped version. Preserves audio if present and optionally deletes the original file after processing.

Key Features

Extends video by repeating it multiple times (loop creation)
Preserves original audio streams automatically
Optional deletion of the original video file after processing
Automatic output filename generation with incrementing numbers
Supports common video formats (MP4, AVI, MOV, MKV, WebM)

Inputs

| Name | Type | Description | | --------------------| ------- | ------------------------------------------------ | | video_path | STRING | Full path to the input video file | | extend_factor | FLOAT | Number of times to duplicate (min: 1.0) | | delete_original | BOOLEAN | Delete original file after processing (default: False) |

Outputs

output_path – Full path to the extended video file

How it works

Validates the input video file exists and has a supported format
Uses ffmpeg to create multiple input streams of the same video
Concatenates all streams into a single extended video
Encodes the output with H.264 video and AAC audio codecs
Optionally deletes the original video file if toggled
Saves the extended video to the ComfyUI output directory with a unique filename

Filename Generation

Base name from original file with "_extended_x{N}" suffix
Automatic numbering to avoid overwriting existing files
Example: myvideo.mp4 → myvideo_extended_x5_001.mp4

Audio Preservation

Automatically detects and preserves audio streams from the original video
Uses ffmpeg stream concatenation to maintain audio synchronization
Works with any audio codec supported by the input video

</details> <details> <summary>16. Image Sequence Overlay ➜ Apply overlay animations to image sequences with progress indication.</summary>

Apply animated overlays to image sequences with progress tracking Source: comfy_image_sequence_overlay.py

What it does

Applies PNG overlay animations from a folder to a sequence of images, with real-time progress indication during processing.

Key Features

Loads overlay PNG files from a specified folder
Supports different animation modes: loop, run once, run once and hold, ping pong
Displays a progress bar widget that updates in real-time during execution
Automatic resizing of overlays to match input dimensions
Alpha compositing for transparent overlays

Inputs

| Name | Type | Description | | --------------| ------- | ------------------------------------------------ | | images | IMAGE | Sequence of images to overlay | | folder_path | STRING | Path to folder containing PNG overlay files | | mode | Select | Animation mode: loop, run_once, run_once_and_hold, ping_pong |

Outputs

images – Overlayed image sequence

Progress Bar

The node includes a LiteGraph progress bar widget that shows the completion percentage (0.0 to 1.0) during the overlay application process, providing visual feedback on long-running operations.

</details> <details> <summary>17. Video Overlay (File Input) ➜ Apply overlay animations from PNG folders to video files with audio preservation.</summary>

Apply overlay animations from PNG folders to video files with audio preservation Source: comfy_video_overlay_from_file.py

What it does

Takes a video file and applies animated overlays from a folder of PNG files, supporting various animation modes. Outputs a new video file with overlays composited and original audio preserved.

Key Features

Loads overlay PNG files from a specified folder in alphabetical order
Supports multiple animation modes: loop, run once, run once and hold, ping pong
Automatic detection of properly numbered overlay files (000001.png, 000002.png, etc.)
Fallback to sequential numbering for unnumbered files
Preserves original audio streams automatically
GPU-accelerated encoding support (NVENC)
Automatic output filename generation with incrementing numbers
Correct FFmpeg filter syntax for reliable overlay composition

Inputs

| Name | Type | Description | | --------------------| ------- | ------------------------------------------------ | | video_path | STRING | Full path to the input video file | | overlay_folder_path| STRING | Path to folder containing PNG overlay files | | mode | Select | Animation mode: loop, run_once, run_once_and_hold, ping_pong | | prefix | STRING | Output filename prefix (default: "video_overlay") | | use_gpu | BOOLEAN | Enable GPU encoding (NVENC) (default: True) |

Outputs

output_path – Full path to the processed video file

Animation Modes

Loop: Infinite loop of overlay sequence
Run Once: Play overlay sequence once, then show base video
Run Once and Hold: Play overlay sequence once, then hold the last frame
Ping Pong: Forward + reverse sequence for back-and-forth animation

How it works

Probes input video for metadata (duration, FPS, resolution, audio codec)
Scans overlay folder for PNG files and sorts alphabetically
Checks if overlay files follow sequential naming pattern (000001.png, etc.)
Creates temporary numbered overlay files if needed using symlinks/copy
Builds FFmpeg filter graph with proper setpts normalization and overlay composition
Encodes output video at original FPS with H.264 codec (optionally NVENC)
Copies original audio stream (if present) into the final video
Cleans up temporary files automatically

Overlay File Requirements

PNG format with transparency support
Files sorted alphabetically for sequence order
For direct path usage: files must be named 000001.png, 000002.png, etc.
For automatic numbering: any PNG filenames work (sorted alphabetically)

Filter Graph Details

Uses properly constructed FFmpeg filter chains:

[0:v]setpts=PTS-STARTPTS[base] - Normalize base video timestamps
[1:v]setpts=PTS-STARTPTS,tpad=...[ov] - Normalize and pad overlay stream (for hold mode)
[base][ov]overlay=0:0:format=auto - Composite with auto format detection

Audio Handling

Automatically detects and preserves audio streams from the original video
Uses ffmpeg stream copying for lossless audio preservation
Works with any audio codec supported by the input video
Audio duration matches video duration (uses video stream duration, not container duration)

</details> <details> <summary>18. Add Soundtrack ➜ Mix soundtrack audio with video while preserving original audio.</summary>

Mix a soundtrack with video audio while preserving original audio Source: comfy_add_soundtrack.py

What it does

Takes a video file and an audio file, applies volume adjustment only to the soundtrack, trims the soundtrack to match video duration, mixes it with the video's original audio, and outputs a new video file with the same duration.

Key Features

Preserves the video's original audio unchanged
Applies volume adjustment only to the added soundtrack
Automatically trims soundtrack to match video duration
Supports very low volume levels (down to -100 dB)
Optional deletion of the original video file after processing
Automatic output filename generation with incrementing numbers
Progress indication during processing

Inputs

| Name | Type | Description | | --------------------| ------- | ------------------------------------------------ | | video_path | STRING | Full path to the input video file | | audio_path | STRING | Full path to the soundtrack audio file | | volume_db | FLOAT | Soundtrack volume adjustment in dB (default: -20.0, min: -100.0) | | delete_original | BOOLEAN | Delete original video file after processing (default: False) | | output_path | STRING | Optional custom output path (default: auto-generated) |

Outputs

output_video_path – Full path to the processed video file with mixed audio

How it works

Validates input video and audio files exist
Probes video duration using ffprobe
Trims the soundtrack audio to match video duration
Applies volume adjustment to the soundtrack using ffmpeg volume filter
Mixes the adjusted soundtrack with the video's original audio using amix filter
Re-encodes the video with mixed audio streams
Optionally deletes the original video file if toggled
Saves the output to ComfyUI's default output directory with unique filename

Audio Processing

Uses ffmpeg's atrim filter to trim soundtrack to exact video duration
Applies volume adjustment with volume filter (supports negative dB values down to -100)
Mixes audio streams using amix filter with longest duration and no dropout transition
Preserves all original video audio characteristics

Filename Generation

Auto-generates names like original_name_with_soundtrack.mp4
Adds incrementing numbers to avoid overwriting existing files
Uses ComfyUI's default output directory structure

</details> <details> <summary>19. Video Image Overlay ➜ Overlay PNG images onto video files with alpha transparency.</summary>

Overlay a PNG image onto a video file using ffmpeg Source: comfy_video_image_overlay.py

What it does

Applies a PNG image (with optional alpha channel) as an overlay onto a full video file using ffmpeg. The output video is saved in the same directory as the input video.

Key Features

Supports PNG images with alpha transparency
No resizing - overlay is applied at original size
Output saved to the same directory as the input video
Optional suffix for output filename customization
Optional deletion of the original video file after processing

Inputs

| Name | Type | Description | | -------------------- | ------- | ------------------------------------------------ | | overlay_image_path | STRING | Full path to the overlay PNG image | | video_path | STRING | Full path to the input video file | | suffix | STRING | Suffix for output filename (default: "_overlay") | | delete_original | BOOLEAN | Delete original video after processing |

Outputs

output_video_path – Full path to the processed video file

How it works

Validates that both the overlay image and video file exist
Uses ffmpeg to overlay the PNG onto the video at position (0, 0)
The output video is saved in the same directory as the input video
If the output filename already exists, appends _0001, _0002, etc. to avoid overwrites
Optionally deletes the original video file if delete_original is enabled

Filename Generation

Output is saved in the same directory as the input video
Example: C:\videos\myvideo.mp4 → C:\videos\myvideo_overlay.mp4
If file exists: myvideo_overlay.mp4 → myvideo_overlay_0001.mp4

</details> <details> <summary>20. Chromatic Aberration ➜ Shift R and B channels in opposite directions for a lens-distortion look.</summary>

Shift colour channels in opposite directions to simulate lens chromatic aberration Source: comfy_chromatic_aberration.py

What it does

Displaces the Red and Blue channels in opposite directions while leaving Green centred, replicating the colour fringing produced by real camera lenses. Works on a single image or a full video batch (B, H, W, C tensor) entirely in PyTorch — no FFmpeg round-trip.

Key Features

Pure-PyTorch implementation — fast on any batch size
Three shift directions: Horizontal, Vertical, Diagonal
Four channel-polarity presets (which side R goes, B always mirrors it)
Zero-filled edges — no wrap-around artefacts
RGBA-safe (preserves alpha channel when present)

Inputs

| Name | Type | Description | | ------------ | ------- | --------------------------------------------------------------------------- | | images | IMAGE | Single image or batched video frames | | shift | INT (0–300) | Pixel offset applied to each channel | | direction | Select | Horizontal / Vertical / Diagonal | | red_leads | Select | Which side R shifts toward — B always goes the opposite way |

red_leads options:

| Value | R moves | B moves | |---|---|---| | Red right / Blue left | → | ← | | Red left / Blue right | ← | → | | Red down / Blue up | ↓ | ↑ | | Red up / Blue down | ↑ | ↓ |

When direction = Diagonal, the horizontal and vertical components are combined automatically.

Outputs

images – Colour-shifted frames, values clamped to [0, 1]

How it works

Each channel is sliced from the tensor, shifted with torch.zeros padding on the vacated edge, then the three channels are re-stacked. Green is never moved, so luminance stays roughly centred and the fringe reads as a natural aberration.

Equivalent FFmpeg command (for reference):

ffmpeg -i input.mp4 -vf "rgbashift=rh=8:bh=-8" -c:a copy output.mp4

</details> <details> <summary>21. Image Audio CSV Generator ➜ Generate CSV files pairing image and audio files.</summary>

Generate CSV files pairing image and audio files from separate directories Source: comfy_image_audio_csv.py

What it does

Scans two directories (one for images, one for audio), sorts all files alphabetically, pairs them using zip(), and saves the pairings to a CSV file with semicolon delimiters.

Key Features

Scans separate directories for image and audio files
Supports common image formats (PNG, JPG, JPEG, BMP, GIF, TIFF, WebP)
Supports common audio formats (MP3, WAV, OGG, FLAC, AAC, M4A, WMA)
Sorts files alphabetically in ascending order
Pairs images with audios using Python's zip() function
Uses semicolon (;) as CSV delimiter
Validates directory existence and creates output directories automatically
UTF-8 encoding for international character support

Inputs

| Name | Type | Description | | --------------------- | ------ | ------------------------------------------------ | | image_directory_path| STRING | Full path to directory containing image files | | audio_directory_path| STRING | Full path to directory containing audio files | | output_csv_path | STRING | Full path for output CSV file (e.g., C:/output/data.csv) |

Outputs

csv_path – Full path to the generated CSV file

How it works

Validates that both input directories exist
Scans image directory for supported image file extensions
Scans audio directory for supported audio file extensions
Sorts both lists alphabetically in ascending order
Pairs images with audios using zip() (stops at shorter list)
Creates output directory if it doesn't exist
Writes CSV with semicolon delimiter and UTF-8 encoding
Each row contains: image_full_path;audio_full_path

CSV Format

The output CSV uses semicolon delimiters and contains one pair per line:

C:\images\image1.jpg;C:\audio\audio1.mp3
C:\images\image2.png;C:\audio\audio2.wav
C:\images\image3.jpeg;C:\audio\audio3.flac

File Extensions Supported

Images: .png, .jpg, .jpeg, .bmp, .gif, .tiff, .tif, .webp Audio: .mp3, .wav, .ogg, .flac, .aac, .m4a, .wma

Use Cases

Creating datasets for machine learning projects
Organizing media files for batch processing
Generating playlists with visual-audio pairings
Automated file organization and cataloging

</details> <details> <summary>21. Color Adjustment (Image) ➜ Adjust brightness, contrast, and saturation on image batches.</summary>

Adjust brightness, contrast, and saturation on batched images Source: comfy_color_adjustment.py

What it does

Applies brightness, contrast, and saturation adjustments to a batch of images using PIL ImageEnhance operations. All parameters use an intuitive 0-100 scale where 100 = no change.

Key Features

GPU-accelerated using PyTorch (automatically uses CUDA if available)
Real-time progress bar during frame processing
Intuitive 0-100 scale parameters (100 = original)
30-60% faster on typical batches; up to 5x faster on large batches with GPU
Supports batched image tensors (multiple frames)
Preserves image quality with direct pixel enhancement
RGB to HSV conversion for accurate saturation adjustment

Inputs

| Name | Type | Description | | ------------ | ------ | ------------------------------------------------ | | images | IMAGE | Batched image frames (B, H, W, C format) | | brightness | INT | Brightness adjustment (0-200, default: 100) | | contrast | INT | Contrast adjustment (0-200, default: 100) | | saturation | INT | Saturation adjustment (0-200, default: 100) |

Parameter Scale

100 = no change (original image)
0 = minimum effect (brightness: black, contrast/saturation: no effect)
200 = double effect (brightness: 2x brighter, contrast/saturation: 2x stronger)

Outputs

images – Adjusted image batch (same shape as input)
info – Metadata string with applied parameters and frame count

How it works

Validates input tensor shape (must be B, H, W, C format)
Converts 0-100 scale parameters to PIL ImageEnhance factors
For each frame in the batch:
- Converts tensor to PIL Image (0-255 range)
- Applies brightness enhancement
- Applies contrast enhancement
- Applies saturation enhancement via Color filter
- Converts back to tensor (0-1 range)
Stacks all processed frames into output batch
Returns adjusted images and metadata string

Use Cases

Brightening/darkening image sequences
Increasing contrast for better visibility
Adjusting color saturation for different moods
Batch color correction across multiple images

</details> <details> <summary>22. Color Adjustment (Video File) ➜ Adjust brightness, contrast, and saturation on video files.</summary>

Adjust brightness, contrast, and saturation on video files with audio preservation Source: comfy_color_adjustment_video.py

What it does

Applies brightness, contrast, and saturation adjustments to a video file using FFmpeg filters. Automatically preserves original audio and supports optional deletion of the source file.

Key Features

GPU-accelerated encoding with NVENC (5-10x faster, falls back to CPU if unavailable)
Uses FFmpeg filters for fast, efficient processing
Real-time progress tracking during encoding
Automatic audio stream preservation
Optional deletion of original video file after processing
Intuitive 0-100 scale parameters (100 = no change)
Automatic unique filename generation to avoid overwrites
Codec selection: HEVC_NVENC (GPU) or libx264 (CPU)

Inputs

| Name | Type | Description | | ---------------- | ------- | ------------------------------------------------ | | video_path | STRING | Full path to input video file | | brightness | INT | Brightness adjustment (0-200, default: 100) | | contrast | INT | Contrast adjustment (0-200, default: 100) | | saturation | INT | Saturation adjustment (0-200, default: 100) | | delete_original | BOOLEAN | Delete source file after processing (default: False) | | use_gpu | BOOLEAN | Use NVIDIA GPU encoding with NVENC (default: True) | | prefix | STRING | Output filename prefix (default: "color_adjusted") |

Parameter Scale

100 = no change (original video)
0 = minimum effect (brightness: very dark, contrast/saturation: minimal)
200 = double effect (brightness: 2x brighter, contrast/saturation: 2x stronger)

Outputs

output_path – Full path to the processed video file
info – Metadata string with applied parameters and audio info

How it works

Uses ffprobe to extract video metadata (FPS, duration, resolution, audio presence)
Converts 0-100 scale parameters to FFmpeg filter values
Builds FFmpeg filter chain with eq filter (brightness/contrast) and hue filter (saturation)
Selects encoder based on use_gpu setting:
- GPU enabled: Uses HEVC_NVENC (NVIDIA GPU encoder, 5-10x faster)
- GPU disabled: Uses libx264 (CPU encoder, maximum compatibility)
Processes video with FFmpeg while preserving original audio stream
Optionally deletes the original file if delete_original = True
Returns path to the adjusted video file

FFmpeg Filter Chain

-vf "eq=brightness={b_value}:contrast={c_value},hue=s={sat_value}"

Where:

brightness: -1.0 (very dark) to 1.0 (very bright)
contrast: 0.0 to 2.0 (0 = no contrast, 1.0 = original)
saturation: 0.0 to 2.0 (0 = grayscale, 1.0 = original)

Audio Handling

Automatically detects audio streams in the input video
Uses -c:a copy to preserve audio without re-encoding (lossless)
Works with any audio codec supported by FFmpeg
Audio duration matches video duration

Use Cases

Color grading video clips
Brightening/darkening entire video sequences
Increasing saturation for more vivid colors
Reducing saturation for desaturated looks
Batch processing multiple video files

</details>

📦 Installation

Place the __init__.py file and the scripts/ folder into:

ComfyUI/custom_nodes/ComfyUI_SimpleVideoEffects/

Install the required dependencies:

pip install -r requirements.txt

Restart ComfyUI.

📁 Workflow Examples

The custom node includes example workflows in the workflows/ folder:

close_up_image.json – Example workflow demonstrating the Close Up Image node for face-centered zoom on image sequences
close_up_video.json – Example workflow demonstrating the Close Up (Face Centered) video node for face-centered zoom on video files

Import these JSON files into ComfyUI to see complete working examples of how to use the close up nodes with proper SEGS segmentation setup.

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ComfyUI Extension: Simple Video Effects

Custom Nodes (25)

README

🎞️ ComfyUI Simple Video Effects

🚀 GPU Acceleration Support

What it does

Key Features

Inputs

Outputs

How it works

What it does

Key Features

Inputs

How it works

What it does

Typical Controls

Output

What it does

Features

What it does

Features

What it does

Key Features

Inputs

Outputs

How it works

What it does

Key Features

Inputs

Outputs

How it works

Performance

Use Cases

✨ Features

🔍 Directory Scanning & File Control

🎬 Video Transitions & Fades

🔊 Audio Integration (VideoHelperSuite)

⚙️ Resolution & FPS Normalization

🚀 Performance

🧪 Safety & Robustness

🛠️ Inputs

Required Inputs

Optional Inputs

📤 Output

🧩 How It Works Internally

1. Load & Order Files

2. Extract Video Metadata

3. Build FFmpeg Filtergraph

4. Render via FFmpeg

5. Cleanup

📝 Notes

What it does

Key Features

Inputs

Outputs

How it works

Special Handling

What it does

Key Features

Inputs

Outputs

How it works

Movement Directions

Audio Handling

What it does

Key Features

Inputs

Outputs

How it works

Shake Modes

Shake Control

Audio Handling

What it does

Key Features

Inputs

Outputs

How it works

Zoom Modes

Zoom Control

Audio Handling