camera-comfyUI

Custom ComfyUI nodes for advanced reprojections, point cloud processing, and camera-driven workflows.

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Table of Contents

• Overview
• Features
• Installation
• Node Categories
• Node Reference
• Workflows
• Example Workflows
• Contributing
• TODO List

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Overview

A collection of ComfyUI custom nodes to handle diverse camera projections (pinhole, fisheye, equirectangular), depth‐to‐point cloud conversions, dynamic reprojections, and inpainting/outpainting pipelines. Use these nodes to craft complex VR and 3D‐aware image transformations with minimal setup.

Features

• ⚡ Continuous Reprojection: Transform images and depth maps between projection models.
• 🌐 Point Cloud Pipelines: Convert depth to 3D, clean, transform, and reproject point clouds.
• 🎥 Camera Motion & Outpainting: Animate camera trajectories, perform text‐guided outpainting in arbitrary views.
• 📦 Modular Nodes: Groupable ComfyUI nodes for flexible graph composition.
• 🛠️ Example Workflows: Ready‐to‐use JSON workflows demonstrating reprojection, inpainting, and view synthesis.

Installation

1. Clone into your ComfyUI custom nodes folder:

   git clone https://github.com/Alexankharin/camera-comfyUI.git custom_nodes/camera-comfyUI

2. System Dependencies (Ubuntu):

   sudo apt-get update && sudo apt-get install build-essential ffmpeg libsm6 libxext6 -y

3. Python Requirements:

   pip install -r custom_nodes/camera-comfyUI/requirements.txt

   • Optional:open3d for GUI point cloud tools.

4. Additional Nodes (for certain workflows):

   • Clone the following repositories directly into your custom_nodes folder:
     • ComfyUI-Flux-Inpainting
     • ComfyUI-Image-Filters
   • Important: If the ComfyUI-Flux-Inpainting repository is cloned as ComfyUI-Flux-Inpainting-main, rename the folder to inpainting_flux:

     mv custom_nodes/ComfyUI-Flux-Inpainting-main custom_nodes/inpainting_flux

5. Flux Models (Hugging Face):

   pip install huggingface_hub
   huggingface-cli login

6. Restart ComfyUI to load new nodes.

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Node Categories

• Reprojection Nodes

  • ReprojectImage, ReprojectDepth, OutpaintAnyProjection

• Matrix Nodes

  • TransformToMatrix, TransformToMatrixManual

• Depth Nodes

  • DepthEstimatorNode, DepthToImageNode, ZDepthToRayDepthNode
  • CombineDepthsNode, DepthRenormalizer, FisheyeDepthEstimator

• Point Cloud Nodes

  • DepthToPointCloud, TransformPointCloud, ProjectPointCloud, PointCloudUnion
  • PointCloudCleaner, LoadPointCloud, SavePointCloud, ProjectAndClean

• Trajectory Nodes

  • CameraMotionNode, CameraInterpolationNode, CameraTrajectoryNode
  • SaveTrajectory, LoadTrajectory, PointcloudTrajectoryEnricher

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Node Reference

(See inline tooltips in ComfyUI for parameter details.)

Node	Description
ReprojectImage	Reproject image between projection types (Pinhole, Fisheye, Equirectangular).
ReprojectDepth	Same as above but for depth maps.
OutpaintAnyProjection	Extracts a patch in any view, outpaints (Flux), reprojects back.
DepthEstimatorNode	Runs HF Depth‐Anything-v2 models to produce metric depth.
DepthToPointCloud	Converts Depth and image to → 3D point cloud tensor (N×7).
DepthToImageNode	Converts depth to image (N×3) using a color map.
ZDepthToRayDepthNode	Converts Z-depth (output of metric-depth-anything) to ray depth to compensate lens curvature.
TransformPointCloud	Applies 4×4 rotation matrix to point cloud.
ProjectPointCloud	Z-buffer–based projection of point cloud into image + mask.
PointCloudCleaner	Removes isolated points via voxel filtering.
PointCloudUnion	Combines multiple point clouds into one.
LoadPointCloud	Loads a point cloud from .npy or .ply format.
SavePointCloud	Saves a point cloud to .npy or .ply format.
CameraMotionNode	Generates image and mask sequences along a camera trajectory with optional mask dilation/inversion.
CameraInterpolationNode	Builds a trajectory tensor from two poses.
CameraTrajectoryNode	Interactive Open3D GUI for recording camera waypoints.
SaveTrajectory	Saves a trajectory tensor to a file.
LoadTrajectory	Loads a trajectory tensor from a file.
VideoCameraMotionSequence	Processes video frames and depth maps along a camera trajectory, generating reprojected outputs.
DepthFramesToVideo	Converts a sequence of depth maps into video frame tensors for saving.
VideoMetricDepthEstimate	Estimates metric depth for a sequence of frames using VideoDepthAnything.

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Workflows

A set of JSON workflows illustrating typical use cases. Each workflow lives in workflows/ and can be loaded directly in ComfyUI.

Workflow	Description
demo_camera_workflow.json	Masked reprojection demo: pinhole → fisheye/equirect
outpainting_fisheye.json	Text‐guided fisheye outpainting (built‐in inpaint node)
outpainting_fisheye_flux.json	Flux‐based outpainting with clear reprojection scheme
Outpaint_node_test.json	Test harness for the universal outpaint node
Outpaint_fisheye180.json	180° fisheye outpainting via OutpaintAnyProjection
Fisheye_depth_workflow.json	Fisheye → metric depth → point cloud → PLY export
Pointcloud.json	Metric‐depth‐anything v2 → point cloud → camera view synthesis
pointcloud_inpaint.json	Inpaint + backproject to 3D for dynamic camera motion videos
Pointcloud_walker.json	GUI‐based camera control via Open3D
sbs180_workflow.json	Generate stereo (side-by-side) wide-angle/fisheye/equirectangular stereo pairs from a high-res input
video_camera.json	Camera trajectory movement workflow using wan-vace for video inpainting.

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Example Workflows

1. demo_camera_workflow.json

Basic reprojection pipeline: apply masks, rotate pinhole camera, outpaint fisheye, move point cloud, reproject.

2. outpainting_fisheye.json

Simplest text‐guided fisheye outpainting built with the core inpaint node.

3. outpainting_fisheye_flux.json

Flux Inpainting ensures sharper results and explicit reprojection stages.

4. Outpaint_fisheye180.json

180° fisheye outpainting via the universal OutpaintAnyProjection node.

5. Fisheye_depth_workflow.json

Convert fisheye images to metric depth and generate a PLY point cloud.

6. Outpaint_node_test.json

Quick test for the universal outpaint node in arbitrary views and camera movement

7. Pointcloud.json

Depth→PointCloud pipeline with interactive camera movement and reprojection views.

8. pointcloud_inpaint.json

Inpaint image with shifted camera and backproject for dynamic camera‐driven video outputs.

9. sbs180_workflow.json

Take a wide-angle (fisheye or equirectangular) high-resolution (e.g., 4096×4096) image and generate a stereo pair by moving the camera horizontally. The output is a wide-angle stereo pair (side-by-side), simulating a fisheye or equirectangular stereo camera.

10. Pointcloud_walker.json

Interactive Open3D-based GUI for walking and setting camera trajectory inside pointcloud.

11. video_camera.json

This workflow demonstrates camera trajectory movement using the wan-vace video inpainting model. It generates smooth camera movements along a trajectory while filling missing regions with high-quality inpainting.

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Trajectory Concept

A trajectory in camera-comfyUI is a sequence of camera poses, each represented as a 4×4 transformation matrix. This set of matrices defines the path and orientation of the camera through 3D space, enabling smooth and complex camera movements for view synthesis, point cloud rendering, and video generation.

Creating Trajectories

There are two main ways to create a trajectory:

• Camera Matrices Interpolation:
  Define two or more camera poses (as matrices), and interpolate between them to generate a smooth path. The CameraInterpolationNode automates this process, producing a trajectory tensor for use in camera motion nodes.

• Walking in Open3D Environment:
  Use the interactive Open3D GUI (CameraTrajectoryNode) to "walk" through the point cloud. As you move the camera, waypoints (poses) are recorded, forming a trajectory that can be exported and reused.

Using Trajectories

The CameraMotionNode takes a trajectory (set of matrices) and interpolates camera positions and orientations along it, producing smooth camera movements for rendering sequences or videos.

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Point Cloud Formats

Point clouds can be saved and loaded in two formats:

• .npy: Numpy array format (fast, preserves all tensor data, recommended for internal pipelines).
• .ply: Polygon File Format (widely supported, viewable in external 3D tools).

Use the SavePointCloud and LoadPointCloud nodes to handle I/O operations in either format.

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Contributing

Contributions welcome! Please open issues or PRs to add features, improve docs, or refine workflows.

TODO List

• Add processing to pointcloud or depthmap to remove outlier and lonely points at depth borders.
• Use built-in comfyUI mask type an image.
• Unite nodes into groups to simplify workflows.
• Create a single workflow for view synthesis.
• Implement easier and more flexible camera control - more complex camera movements with more than 2 points.
• Add more examples and documentation for each node.
• Add pointcloud union
• Fix imports for renamed folders (e.g., inpainting_flux)
• Integrate camera movement pipeline with video models (e.g., wan2.1) for smooth, high-quality inpainting along camera trajectories.