IF_DatasetMkr
Create Video datasets straight from YT or a video file path
How much VRAM does IF_DatasetMkr require?
Direct Answer: The ComfyUI node IF_DatasetMkr 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.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not 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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What Python packages are required for IF_DatasetMkr?
Direct Answer: Running IF_DatasetMkr requires installing the following Python package dependencies: accelerate, aiohttp>=3.8.5, decord>=0.6.0, dotenv-python>=0.0.1, ffmpeg-python>=0.2.0, huggingface_hub>=0.26.0, imageio_ffmpeg>=0.6.0, moviepy>=2.1.2, numpy>=1.24.0, opencv-python>=4.8.0, packaging>=23.1, pillow>=10.0.0, psutil>=5.9.0, python-slugify>=8.0.1, qwen-vl-utils>=0.0.8, requests>=2.31.0, safetensors>=0.3.1, scenedetect>=0.6.2, sentence-transformers, tokenizers>=0.15.0, torch>=2.0.0, tqdm>=4.66.1, yt-dlp>=2023.3.4. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate
aiohttp>=3.8.5
decord>=0.6.0
dotenv-python>=0.0.1
ffmpeg-python>=0.2.0
huggingface_hub>=0.26.0
imageio_ffmpeg>=0.6.0
moviepy>=2.1.2
numpy>=1.24.0
opencv-python>=4.8.0
packaging>=23.1
pillow>=10.0.0
psutil>=5.9.0
python-slugify>=8.0.1
qwen-vl-utils>=0.0.8
requests>=2.31.0
safetensors>=0.3.1
scenedetect>=0.6.2
sentence-transformers
tokenizers>=0.15.0
torch>=2.0.0
tqdm>=4.66.1
yt-dlp>=2023.3.4Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does IF_DatasetMkr require?
IF_DatasetMkr 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 IF_DatasetMkr 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 IF_DatasetMkr need?
IF_DatasetMkr requires the following PyTorch-related packages: torch>=2.0.0. 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 IF_DatasetMkr?
To run IF_DatasetMkr, you need to install: accelerate, aiohttp>=3.8.5, decord>=0.6.0, dotenv-python>=0.0.1, ffmpeg-python>=0.2.0, huggingface_hub>=0.26.0, imageio_ffmpeg>=0.6.0, moviepy>=2.1.2, numpy>=1.24.0, opencv-python>=4.8.0, packaging>=23.1, pillow>=10.0.0, psutil>=5.9.0, python-slugify>=8.0.1, qwen-vl-utils>=0.0.8, requests>=2.31.0, safetensors>=0.3.1, scenedetect>=0.6.2, sentence-transformers, tokenizers>=0.15.0, torch>=2.0.0, tqdm>=4.66.1, yt-dlp>=2023.3.4. You can install these using pip or add them to your requirements.txt file.
How do I install IF_DatasetMkr in ComfyUI?
To install IF_DatasetMkr: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/if-ai/ComfyUI-IF_DatasetMkr, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.