StereoVision Plugin for ComfyUI
The StereoVision plugin for ComfyUI enables the creation of stereoscopic and autostereoscopic images and videos using depth maps. It supports both traditional stereoscopic image generation and autostereogram (Magic Eye) creation.
Components
The plugin provides two primary nodes:
Stereoscopic Generator: Creates side-by-side stereoscopic images from base images and depth maps
Autostereogram Generator: Produces autostereograms from depth maps
Stereoscopic Generator
Usage
Input Requirements
Base Image: The source image for conversion
Depth Map: Corresponding depth information (lighter = closer, darker = further)
Node Setup
Add the Stereoscopic Generator node
Connect base image to base_image input
Connect depth map to depth_map input
Parameters
depth_scale: Controls 3D effect intensity (default: 80)
Higher values increase depth separation
Lower values produce subtler effects
Technical Considerations
Image Selection
Clear foreground/background separation improves results
Consistent depth mapping enhances effect quality
High-contrast scenes may require lower depth scale values
Processing Requirements
Higher resolution inputs require more processing time
Video processing may need significant computational resources
Example Output
Seattle (Use cross-eyed technique to view 3D)
Video Demonstration
[](https://youtu.be/h_07IrxCBuk)
Autostereogram Generator
Usage
Input Requirements
Depth Map: Defines the hidden 3D image
Optional Texture: Custom pattern for the autostereogram
Core Parameters
pattern_div: Pattern width (integer)
Low values: Larger patterns, easier viewing
High values: Smaller patterns, more detail
depth_multiplier: Depth effect intensity
invert: Reverses depth perception
x_tiles, y_tiles: Pattern repetition count
Pattern Configuration
Pattern Types:
Random
Perlin
Dots
Lines
Checkers
Waves
Noise Parameters:
noise_scale: Pattern size
noise_octaves: Pattern complexity
Color Options:
Grayscale
RGB
Complementary
Batch Processing Controls
clamp_depth_to_first: When enabled, uses the first depth map frame for all outputs
clamp_texture_to_first: When enabled, uses the first texture frame for all outputs
These options are useful for:
Creating consistent autostereograms across multiple frames
Maintaining pattern continuity in animations
Reducing visual noise in batch processing
Output Settings
Custom width/height support
Default: matches depth map dimensions
Technical Parameters
Pattern Division Effects:
4: Large patterns, basic depth perception
16: Fine patterns, detailed hidden images
Noise Configuration:
Scale Range: 0.5 (fine) to 2.0 (coarse)
Octaves: 2-6 (higher = more complex)
Example Output
Harold (texture based)
*Use parallel viewing technique to see the hidden 3D image*
Harold (noise based)
*Use parallel viewing technique to see the hidden 3D image*
Video Demonstration
[](https://youtu.be/aozwsNlLgHw)
Implementation Notes
Performance Optimization
Match output resolution to viewing requirements
Consider computational load for video processing
Monitor memory usage with high-resolution inputs
Quality Control
Verify depth map accuracy
Test various pattern settings for optimal viewing
Validate output across different display sizes
Error Prevention
Ensure consistent input dimensions
Validate depth map grayscale values
Monitor processing resource usage
Technical Specifications
Input Formats: Standard image formats
Output Resolution: Configurable or source-matched
Processing: CPU-based computation
Memory Requirements: Scales with input resolution
Example Implementation
For detailed implementation examples and advanced usage scenarios, refer to the plugin’s source code and example workflows.
