Jovi_Capture

By amoranoView on GitHub →

Capture Webcamera and URL media streams as ComfyUI images.

How much VRAM does Jovi_Capture require?

Direct Answer: The ComfyUI node Jovi_Capture requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ 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 Jovi_Capture?

Direct Answer: Running Jovi_Capture requires installing the following Python package dependencies: aiohttp, mss, numpy<2, opencv-contrib-python, pillow, pyobjc-framework-quartz; platform_system=='Darwin', pywin32; platform_system=='Windows', pywinctl, xlib; platform_system=='Linux'. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
aiohttp
mss
numpy<2
opencv-contrib-python
pillow
pyobjc-framework-quartz; platform_system=='Darwin'
pywin32; platform_system=='Windows'
pywinctl
xlib; platform_system=='Linux'

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:

Jovi_GLSL
by amorano128MB VRAM
Jovimetrix
by amorano4.0GB VRAM
ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM
4dgs-human-avatar-comfyui-nodes-dataset
by AndriiShramko4.0GB VRAM

Frequently Asked Questions

How much VRAM does Jovi_Capture require?

Jovi_Capture requires a minimum of 128MB (0.1GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

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

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What Python packages are required for Jovi_Capture?

To run Jovi_Capture, you need to install: aiohttp, mss, numpy<2, opencv-contrib-python, pillow, pyobjc-framework-quartz; platform_system=='Darwin', pywin32; platform_system=='Windows', pywinctl, xlib; platform_system=='Linux'. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Jovi_Capture?

Jovi_Capture supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.

How do I install Jovi_Capture in ComfyUI?

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