Depth Estimation Node
A robust custom depth estimation node for ComfyUI using Depth-Anything models. It integrates depth estimation with configurable post-processing options including blur, median filtering, contrast enhancement, and gamma correction.
How much VRAM does Depth Estimation Node require?
Direct Answer: The ComfyUI node Depth Estimation Node 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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What Python packages are required for Depth Estimation Node?
Direct Answer: Running Depth Estimation Node requires installing the following Python package dependencies: huggingface-hub>=0.16.0 # For model downloading, protobuf>=3.20.3, requests>=2.27.0 # For model downloading, timm>=0.6.12 # Required for Depth Anything models, tokenizers>=0.13.3 # Pre-built version compatible with most platforms, transformers>=4.20.0 # Required for Depth Anything models, but ComfyUI may have a specific version, wget>=3.2 # For reliable model downloading. Ensure your ComfyUI environment has these packages active before launching.
huggingface-hub>=0.16.0 # For model downloading
protobuf>=3.20.3
requests>=2.27.0 # For model downloading
timm>=0.6.12 # Required for Depth Anything models
tokenizers>=0.13.3 # Pre-built version compatible with most platforms
transformers>=4.20.0 # Required for Depth Anything models, but ComfyUI may have a specific version
wget>=3.2 # For reliable model downloadingInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does Depth Estimation Node require?
Depth Estimation Node 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 Depth Estimation Node 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 Depth Estimation Node?
To run Depth Estimation Node, you need to install: huggingface-hub>=0.16.0 # For model downloading, protobuf>=3.20.3, requests>=2.27.0 # For model downloading, timm>=0.6.12 # Required for Depth Anything models, tokenizers>=0.13.3 # Pre-built version compatible with most platforms, transformers>=4.20.0 # Required for Depth Anything models, but ComfyUI may have a specific version, wget>=3.2 # For reliable model downloading. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Depth Estimation Node?
Depth Estimation Node 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 Depth Estimation Node in ComfyUI?
To install Depth Estimation Node: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Limbicnation/ComfyUIDepthEstimation, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.