ITDA

By designloves2View on GitHub →

Frame-accurate layered video editor inside ComfyUI for stitching AI-generated clips into one continuous piece. Auto Stitch recommends the best cut point between two clips using frame and motion matching; also scene/beat detection, version stacks, wipe compare, pre-render, and MP4/MOV/WebM export.

How much VRAM does ITDA require?

Direct Answer: The ComfyUI node ITDA requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

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What Python packages are required for ITDA?

Direct Answer: Running ITDA requires installing the following Python package dependencies: aiohttp, numpy. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
aiohttp
numpy

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Frequently Asked Questions

How much VRAM does ITDA require?

ITDA requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ITDA on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What Python packages are required for ITDA?

To run ITDA, you need to install: aiohttp, numpy. You can install these using pip or add them to your requirements.txt file.

How do I install ITDA in ComfyUI?

To install ITDA: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/designloves2/itda, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.