ComfyUI-NetflixVoid
Custom ComfyUI nodes for the VOID workflow with five stages: black mask, VLM prep, grey mask, quadmask, and modular PQ5 inference. (Description by CC)
How much VRAM does ComfyUI-NetflixVoid require?
Direct Answer: The ComfyUI node ComfyUI-NetflixVoid 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.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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Deploy on Cloud GPUs
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What Python packages are required for ComfyUI-NetflixVoid?
Direct Answer: Running ComfyUI-NetflixVoid requires installing the following Python package dependencies: absl-py==2.3.1, albumentations==2.0.8, beautifulsoup4==4.13.5, datasets==4.0.0, decord==0.6.0, einops==0.8.0, ftfy==6.1.1, func-timeout==4.3.5, imageio==2.37.0, imageio-ffmpeg==0.6.0, kornia==0.8.1, loguru==0.7.3, matplotlib==3.10.6, mediapy==1.2.4, ml_collections==1.1.0, numpy==1.26.4, omegaconf==2.3.0, opencv-python==4.10.0.84, packaging==25.0, pillow==11.3.0, requests==2.32.5, scikit-image==0.25.2, scikit-learn==1.7.2, scipy==1.14.0, sentencepiece==0.2.1, timm==1.0.19, tomesd==0.1.3, tqdm==4.67.1. Ensure your ComfyUI environment has these packages active before launching.
absl-py==2.3.1
albumentations==2.0.8
beautifulsoup4==4.13.5
datasets==4.0.0
decord==0.6.0
einops==0.8.0
ftfy==6.1.1
func-timeout==4.3.5
imageio==2.37.0
imageio-ffmpeg==0.6.0
kornia==0.8.1
loguru==0.7.3
matplotlib==3.10.6
mediapy==1.2.4
ml_collections==1.1.0
numpy==1.26.4
omegaconf==2.3.0
opencv-python==4.10.0.84
packaging==25.0
pillow==11.3.0
requests==2.32.5
scikit-image==0.25.2
scikit-learn==1.7.2
scipy==1.14.0
sentencepiece==0.2.1
timm==1.0.19
tomesd==0.1.3
tqdm==4.67.1Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-NetflixVoid require?
ComfyUI-NetflixVoid 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 ComfyUI-NetflixVoid 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 ComfyUI-NetflixVoid?
To run ComfyUI-NetflixVoid, you need to install: absl-py==2.3.1, albumentations==2.0.8, beautifulsoup4==4.13.5, datasets==4.0.0, decord==0.6.0, einops==0.8.0, ftfy==6.1.1, func-timeout==4.3.5, imageio==2.37.0, imageio-ffmpeg==0.6.0, kornia==0.8.1, loguru==0.7.3, matplotlib==3.10.6, mediapy==1.2.4, ml_collections==1.1.0, numpy==1.26.4, omegaconf==2.3.0, opencv-python==4.10.0.84, packaging==25.0, pillow==11.3.0, requests==2.32.5, scikit-image==0.25.2, scikit-learn==1.7.2, scipy==1.14.0, sentencepiece==0.2.1, timm==1.0.19, tomesd==0.1.3, tqdm==4.67.1. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-NetflixVoid?
ComfyUI-NetflixVoid 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 ComfyUI-NetflixVoid in ComfyUI?
To install ComfyUI-NetflixVoid: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/jaskirat05/ComfyUI-NetflixVoid, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.