This repo provides a ComfyUI Custom Node implementation of the Depth-Anything-Tensorrt in Python for ultra fast depth map generation (up to 14x faster than comfyui_controlnet_aux)
Last tested: 03 June 2026 (ComfyUI v0.23.0 | Torch 2.12.0 | Python 3.12.3 | H100 | CUDA 13.0 | Ubuntu 24.04)
⭐ Support
If you like my projects and wish to see updates and new features, please consider supporting me. It helps a lot!
Special thanks to livepeer.org for having supported the project!
⏱️ Performance (Depth Anything V1)
Note: The following results were benchmarked on FP16 engines inside ComfyUI
| Device | Model | Model Input (WxH) | Image Resolution (WxH) | FPS |
|---|---|---|---|---|
| RTX4090 | Depth-Anything-S | 518x518 | 1280x720 | 35 |
| RTX4090 | Depth-Anything-B | 518x518 | 1280x720 | 33 |
| RTX4090 | Depth-Anything-L | 518x518 | 1280x720 | 24 |
| H100 | Depth-Anything-L | 518x518 | 1280x720 | 125+ |
⏱️ Performance (Depth Anything V2)
Note: The following results were benchmarked on FP16 engines inside ComfyUI
| Device | Model | Model Input (WxH) | Image Resolution (WxH) | FPS |
|---|---|---|---|---|
| H100 | Depth-Anything-S | 518x518 | 1280x720 | 213 |
| H100 | Depth-Anything-B | 518x518 | 1280x720 | 180 |
| H100 | Depth-Anything-L | 518x518 | 1280x720 | 109 |
⏱️ Performance (Depth Anything V3)
Note: The following results were benchmarked on FP16 engines inside ComfyUI
| Device | Model | Model Input (WxH) | Image Resolution (WxH) | FPS |
|---|---|---|---|---|
| RTX5090 | DA3Mono-Large | 518x518 | 1280x720 | 85 |
| RTX5090 | DA3Metric-Large | 518x518 | 1280x720 | 85 |
⏱️ Performance (Distill Any Depth)
Note: The following results were benchmarked on FP16 engines inside ComfyUI
| Device | Model | Model Input (WxH) | Image Resolution (WxH) | FPS |
|---|---|---|---|---|
| H100 | Distill-Any-Depth-Multi-Teacher-Small | 518x518 | 1280x720 | 76 |
| H100 | Distill-Any-Depth-Multi-Teacher-Base | 518x518 | 1280x720 | 68 |
| H100 | Distill-Any-Depth-Multi-Teacher-Large | 518x518 | 1280x720 | 59 |
| H100 | Distill-Any-Depth-Dav2-Teacher-Large-2w-iter | 518x518 | 1280x720 | 57 |
🚀 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
There are two ways to build TensorRT engines:
Method 1: Using the EngineBuilder Node
- Insert node by
Right Click -> tensorrt -> Depth Anything Engine Builder - Select the model version (v1 or v2 or DAD) and size (small, base, or large)
- Optionally customize the engine name, FP16 settings, and onnx path
- Run the workflow to build the engine
The engine will be automatically downloaded and built in the specified location. Refresh the webpage or strike 'r' on your keyboard, and the new engine will appear in the Depth Anything Tensorrt node.
Method 2: Manual Building
- Download one of the available onnx models:
- Run the export script, e.g
python export_trt.py --onnx-path ./depth_anything_vitl14-fp16.onnx --trt-path ./depth_anything_vitl14-fp16.engine - Place the exported engine inside ComfyUI
/models/tensorrt/depth-anythingdirectory
☀️ Usage
Depth Anything Tensorrt (Basic)
- Insert node by
Right Click -> tensorrt -> Depth Anything Tensorrt - Choose the appropriate engine from the dropdown
- Returns a grayscale depth image (IMAGE type) ready for direct use in workflows
Depth Anything Advanced + Temporal Stabilizer + Depth Map Display
For more control over depth visualization, use the advanced pipeline:
Depth Anything Tensorrt Advanced
│ depths
▼
Depth Temporal Stabilizer Fast GPU (optional, recommended for video)
│ depths
▼
Depth Map Display
-
Depth Anything Tensorrt Advanced (
Right Click -> tensorrt -> Depth Anything Tensorrt Advanced)- Returns raw linear depth values instead of a processed image.
-
Depth Temporal Stabilizer Fast GPU (
Right Click -> tensorrt -> Depth Temporal Stabilizer Fast GPU)- Reduces mild frame-to-frame flickering and relative depth-range pulsing using fast CUDA temporal smoothing.
- Very high smoothing values can cause trailing on fast-moving objects or strong camera motion.
Parameter Default Range Description temporal_strength0.45 0.0 – 0.95 Controls how strongly stable pixels inherit depth from the previous stabilized frame. Higher values reduce more flicker but may introduce trails. depth_consistency0.05 0.001 – 0.50 Controls which depth changes are considered stable enough to smooth. Lower values better preserve motion and object edges. align_depth_rangetrue true/false Corrects frame-to-frame global relative-depth scale and offset pulsing before temporal smoothing. alignment_strength0.70 0.0 – 1.0 Controls how strongly global depth-range alignment is applied. Increasing this usually has less ghosting risk than increasing temporal smoothing. -
Depth Map Display (
Right Click -> tensorrt -> Depth Map Display)- Visualizes raw depth values using colormaps with the following adjustments:
Parameter Default Range Description colormap— grayscale, inferno, viridis, plasma, magma, turbo, jet, hot, cool, spring, summer, autumn, winter, bone, rainbow, ocean, hsv, parula, pink Color scheme for depth visualization invertfalse true/false Flip depth so near becomes far and vice versa contrast1.0 0.1 – 5.0 Spread of depth values around the midpoint brightness0.0 -1.0 – 1.0 Shifts all depth values up or down gamma1.0 0.1 – 5.0 Non-linear tone curve. Below 1.0 reveals detail in distant regions, above 1.0 in near regions percentile_clip2.0 0.0 – 20.0 Clips outlier depth values at this percentile from both ends before normalizing. Prevents extreme values from compressing the useful range
📝 Changelog
-
03/06/2026
- Added fast GPU-based temporal depth stabilizer node to reduce flickering in video depth maps
-
02/06/2026
- Added example workflows
-
31/01/2026
- Added multiple depth colormaps
- Added Depth Map Display adjustments: contrast, brightness, gamma, percentile clipping
- Added tooltips, descriptions, and output tooltips to all nodes
-
29/01/2026
- Major refactoring (file structure, logging)
- Moved model definitions to
config/models.json - Use huggingface_hub to download onnx models
-
10/01/2026
- Add partial support for Depth Anything V3 (DA3Mono-Large, DA3Metric-Large)
-
16/09/2025
- Add support for v2 metric models (depth_anything_v2_metric_hypersim_vitl, depth_anything_v2_metric_vkitti_vitl) https://github.com/yuvraj108c/ComfyUI-Depth-Anything-Tensorrt/pull/21
-
08/07/2025
- Add support for Distill-Any-Depth
- Add benchmark for Distill-Any-Depth models
-
20/05/2025
- Merge PR#15 for auto engine building inside comfyui by ryanontheinside
- Merge PR#14 for configurable params in export_trt.py by rickstaa
-
02/07/2024
- Add Depth Anything V2 onnx models + benchmarks
- Merge PR for engine caching in memory by BuffMcBigHuge
-
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)

