msch-synkitfx
Legacy component. Install MSCH Nodes instead: github.com/mariobilly/msch-comfyui-nodes
Nodes (2)
Superseded by MSCH Nodes: one install for the complete collection.
This standalone repository is retained for historical links and existing installations. New nodes and updates belong to the unified pack. Follow the migration guide before switching to avoid duplicate nodes.
MSCH Synkit FX
Animated metaball halftones and feature-tracking HUD boxes with labels, connectors, native VIDEO and overlay masks.
Node reference · Example workflows and results · Publishing guide
<!-- MSCH SHOWCASE -->View the showcase: videos, images and workflows
<!-- /MSCH SHOWCASE -->Included nodes
| Node | What it does | |---|---| | SynkitFX Metablob | Build a square or hexagonal grid whose dot sizes respond to luminance, saturation or edges, then merge neighboring dots into metaball shapes. | | SynkitFX Tracker | Detect graphic feature points and place animated boxes, corner brackets, labels and connecting wires over the image. |
Installation
Clone into ComfyUI/custom_nodes:
git clone https://github.com/mariobilly/msch-synkitfx.git
Open a terminal in the cloned folder and install requirements using the same Python environment as ComfyUI:
python -m pip install -r requirements.txt
Windows portable, from ComfyUI_windows_portable:
.\python_embeded\python.exe -m pip install -r .\ComfyUI\custom_nodes\msch-synkitfx\requirements.txt
Restart ComfyUI and refresh the browser. Load a JSON workflow from examples/ and select the supplied demo input or your own media. Keep only one installed copy of each package to avoid duplicate node registrations.
Requirements and behavior
Two chainable CPU effects. Use the frames output between effects and VIDEO for Save Video. Masks describe overlay coverage; transparent_black is an RGB background setting, not alpha in an MP4. Tracker boxes are graphic feature overlays rather than semantic object recognition. Use even image dimensions for H.264.
Documentation and examples
docs/NODES.md documents every input, default, range, choice and output. examples/README.md explains which inputs and other nodes each workflow needs and how the included results were produced.
ComfyUI Manager
The release includes Comfy Registry metadata and a GitHub publishing action. Version 0.1.0 was uploaded successfully to Comfy Registry under publisher mariobilly on 2026-09-06. Registry reported Pending at verification; Manager installation availability is not yet confirmed. A separate ComfyUI Manager node-list registration has been submitted; listing is pending maintainer acceptance. Git installation works independently. See PUBLISHING.md.
Validation
Imports and input schemas were checked against the local ComfyUI environment with Python 3.12.10, PyTorch 2.10 and CUDA available. Example render coverage is documented per workflow; this is not a claim of compatibility testing on every platform or of full MiniMax H3 model-generation validation.
License
Project code: MIT. Third-party assets and optional model weights keep their own licenses.