Comfyui-Sequential-VideoLoading

By pmarmotte2View on GitHub →

ComfyUI node that loads video by time segments, extracts frames and audio, runs speaker diarization and transcription with optional LLM-based dialogue translation. (Description by CC)

How much VRAM does Comfyui-Sequential-VideoLoading require?

Direct Answer: The ComfyUI node Comfyui-Sequential-VideoLoading 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!

Deploy on High-Performance GPUs

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🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

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🚀 Deploy on RunPod

What Python packages are required for Comfyui-Sequential-VideoLoading?

Direct Answer: Running Comfyui-Sequential-VideoLoading requires installing the following Python package dependencies: numpy, openai-whisper, opencv-python, pyannote.audio, torch, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
openai-whisper
opencv-python
pyannote.audio
torch
transformers

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:

AUN ComfyUI Nodes
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AniTalker-ComfyUI
by AIFSH128MB VRAM
AntiMatter Nodes
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Arctenoxs-Essentials_ComfyUI
by Arctenox256MB VRAM

Frequently Asked Questions

How much VRAM does Comfyui-Sequential-VideoLoading require?

Comfyui-Sequential-VideoLoading 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 Comfyui-Sequential-VideoLoading 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 PyTorch version does Comfyui-Sequential-VideoLoading need?

Comfyui-Sequential-VideoLoading requires the following PyTorch-related packages: torch. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for Comfyui-Sequential-VideoLoading?

To run Comfyui-Sequential-VideoLoading, you need to install: numpy, openai-whisper, opencv-python, pyannote.audio, torch, transformers. You can install these using pip or add them to your requirements.txt file.

How do I install Comfyui-Sequential-VideoLoading in ComfyUI?

To install Comfyui-Sequential-VideoLoading: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/pmarmotte2/Comfyui-Sequential-VideoLoading, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.