This repo provides a ComfyUI Custom Node implementation of the Depth-Anything-Tensorrt in Python for ultra fast depth map generation (up to 5x faster)

⏱️ Performance

Note: The following results were benchmarked on FP16 engines inside ComfyUI

🚀 Installation

Navigate to the ComfyUI /custom_nodes directory

git clone https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt.git
cd ./ComfyUI-Depth-Anything-Tensorrt
pip install -r requirements.txt

🛠️ Building Tensorrt Engine

1. Download one of the available onnx models (e.g depth_anything_vitl14.onnx)
2. Edit model paths inside export_trt.py accordingly and run python export_trt.py
3. Place the exported engine inside ComfyUI /models/tensorrt/depth-anything directory

☀️ Usage

• Insert node by Right Click -> tensorrt -> Depth Anything Tensorrt
• Choose the appropriate engine from the dropdown

🤖 Environment tested

• Ubuntu 22.04 LTS, Cuda 12.3, Tensorrt 10.0.1, Python 3.10, RTX 4090 GPU
• Windows (Not tested, but should work)

📝 Changelog

• 08/05/2024

  • Clean utilities.py
  • Fix engine path in custom node
  • Add citation in readme

• 26/04/2024

  • Update to tensorrt 10.0.1
  • Massive code refactor, remove trtexec, remove pycuda, show engine building progress
  • Update and standardise engine directory and node category for upcoming tensorrt custom nodes suite

• 7/04/2024

  • Fix image resize bug during depth map post processing

• 30/03/2024

  • Fix CUDNN_STATUS_MAPPING_ERROR

• 27/03/2024

  • Major refactor and optimisation (remove subprocess)

👏 Credits

@inproceedings{depthanything,
      title={Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data}, 
      author={Yang, Lihe and Kang, Bingyi and Huang, Zilong and Xu, Xiaogang and Feng, Jiashi and Zhao, Hengshuang},
      booktitle={CVPR},
      year={2024}
}

• NVIDIA/Stable-Diffusion-WebUI-TensorRT
• spacewalk01/depth-anything-tensorrt
• martenwikman/depth-anything-tensorrt-docker