Save Images to Video (FFmpeg) for ComfyUI

By San4itosView on GitHub →

A custom node for ComfyUI to save image sequences as video files using FFmpeg. Supports various codecs, audio muxing, and in-node previews.

How much VRAM does Save Images to Video (FFmpeg) for ComfyUI require?

Direct Answer: The ComfyUI node Save Images to Video (FFmpeg) for ComfyUI 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 Save Images to Video (FFmpeg) for ComfyUI?

Direct Answer: Running Save Images to Video (FFmpeg) for ComfyUI requires installing the following Python package dependencies: pillow. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
pillow

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

ATI_AudioReactive
by yukascomfy1.5GB VRAM
Akatz Custom Nodes
by akatz-ai128MB VRAM
Artha-Gemini
by Cyrostar4.0GB VRAM
Bjornulf_custom_nodes
by justUmen256MB VRAM

Frequently Asked Questions

How much VRAM does Save Images to Video (FFmpeg) for ComfyUI require?

Save Images to Video (FFmpeg) for ComfyUI 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 Save Images to Video (FFmpeg) for ComfyUI 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 Save Images to Video (FFmpeg) for ComfyUI?

To run Save Images to Video (FFmpeg) for ComfyUI, you need to install: pillow. You can install these using pip or add them to your requirements.txt file.

How do I install Save Images to Video (FFmpeg) for ComfyUI in ComfyUI?

To install Save Images to Video (FFmpeg) for ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/San4itos/ComfyUI-Save-Images-as-Video, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.