ComfyUI-Ytdpl

By MeisoftcoltdView on GitHub →

ComfyUI node for downloading videos and audio using yt-dlp with automatic quality selection and cookie support. (Description by CC)

How much VRAM does ComfyUI-Ytdpl require?

Direct Answer: The ComfyUI node ComfyUI-Ytdpl 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

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for ComfyUI-Ytdpl?

Direct Answer: Running ComfyUI-Ytdpl requires installing the following Python package dependencies: bgutil-ytdlp-pot-provider# Plugin oficial de la comunidad para Botguard, curl-cffi# Necesario para "impersonation" (Bypass HTTP 403), websockets# Requerido por componentes internos de yt-dlp, yt-dlp# Descarga de video principal, yt-dlp-ejs# Motor para resolver el JS Challenge de YouTube. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
bgutil-ytdlp-pot-provider# Plugin oficial de la comunidad para Botguard
curl-cffi# Necesario para "impersonation" (Bypass HTTP 403)
websockets# Requerido por componentes internos de yt-dlp
yt-dlp# Descarga de video principal
yt-dlp-ejs# Motor para resolver el JS Challenge de YouTube

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 ComfyUI-Ytdpl require?

ComfyUI-Ytdpl 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-Ytdpl 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 ComfyUI-Ytdpl?

To run ComfyUI-Ytdpl, you need to install: bgutil-ytdlp-pot-provider# Plugin oficial de la comunidad para Botguard, curl-cffi# Necesario para "impersonation" (Bypass HTTP 403), websockets# Requerido por componentes internos de yt-dlp, yt-dlp# Descarga de video principal, yt-dlp-ejs# Motor para resolver el JS Challenge de YouTube. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-Ytdpl in ComfyUI?

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