Mindket

Depth Anything 3 by Comfy-Org

Newversion 1 · updated

Overview

Depth estimation model files re-packed by Comfy-Org for ComfyUI, in four sizes. They turn a picture or a video into a depth map. For ComfyUI users who need depth for image and video workflows.

Depth Anything 3 by Comfy-Org is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • ComfyUI installed on your computer
  • Python, for the download
  • The huggingface_hub package
Runs in
  • ComfyUI, the only place the card describes
  • Windows, macOS or Linux with Python, to download the files
  • The ComfyUI workflow templates Depth Estimation: Depth Anything 3 and Depth Map: Depth Anything 3
Start with
pip install -U huggingface_hub
hf download Comfy-Org/Depth-Anything-3

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This repository holds Depth Anything 3 weights that Comfy-Org re-packed so ComfyUI can load them. The model estimates depth, which means how near or far each part of a picture is. It comes as four files: base, metric large, mono large and small. The original models come from ByteDance Seed and the depth-anything group.

Who it suits

It suits people who build image or video workflows in ComfyUI and need a depth map as one step. It is a set of model files, not an app.

Who uses it
IndustryWho uses itHow they use itExample
AI artWorkflow buildersMake a depth map to guide another modelFeed a depth map into an image workflow
Video editingVideo editorsEstimate depth across the frames of a clipRun the video depth template on a short clip
ResearchVision researchersTry different model sizes on the same picturesCompare the small and large files on one photo

People who do not use ComfyUI can skip it, since the card gives no other way to run it.

Where to use it

  • ComfyUI, the only place the card describes
  • Windows, macOS or Linux with Python, to download the files
  • The ComfyUI workflow templates Depth Estimation: Depth Anything 3 and Depth Map: Depth Anything 3
Top jobs
Use caseWhoWhat they get back
Image depth estimationWorkflow buildersA depth map of a picture
Video depth estimationVideo editorsDepth for the frames of a clip
Size choiceResearchersFour model files to try

How to set it up

  • ComfyUI installed on your computer
  • Python, for the download
  • The huggingface_hub package
  1. Install the Hugging Face hub package.
  2. Download the model files to your computer.
  3. Copy the four safetensors files into the geometry_estimation folder, inside ComfyUI's models folder.
  4. Restart ComfyUI so it sees the new files.
pip install -U huggingface_hub
hf download Comfy-Org/Depth-Anything-3

How to use it

In ComfyUI, open one of the two workflow templates from the Comfy-Org workflow templates, then run it on your picture or clip. The card gives no commands beyond the download.

Files and templates
NameWhat it is
depth_anything_3_base.safetensorsThe base model
depth_anything_3_metric_large.safetensorsThe metric large model
depth_anything_3_mono_large.safetensorsThe mono large model
depth_anything_3_small.safetensorsThe small model
Depth Estimation: Depth Anything 3A workflow template for pictures
Depth Map: Depth Anything 3A workflow template for video

Example

You open the Depth Estimation template and run it on a photo. The workflow returns a depth map of the scene. The card shows a before and after thumbnail pair for each template, so check the result on your own picture.

For newcomers and experts

If you are new, a depth map is a picture that shows which things are close and which are far. The first thing to try is the picture template with one photo, using the small file.

For experts, the record lists the task as depth estimation and the library as diffusion-single-file, based on DA3-BASE. The weights are single safetensors files that ComfyUI reads from its models folder. The card does not say how the metric and mono variants differ in output.

  1. Download the four safetensors files
  2. Copy them into the models folder
  3. Open a Depth Anything 3 template
  4. Run it to get the depth map

Good to know

  • Repackaged files: the original work comes from the repositories the card names.
  • License: Apache 2.0.
  • Reach: it runs in ComfyUI on your computer.
  • Cost to run: none named.
  • Data it reaches: it downloads files from Hugging Face, and the source names nothing else.
  • Not for: chat, writing or any use outside ComfyUI.

README and files

README

Depth Anything 3 by Comfy-Org

Depth estimation model files re-packed by Comfy-Org for ComfyUI, in four sizes. They turn a picture or a video into a depth map. For ComfyUI users who need depth for image and video workflows.

Made by Comfy-Org on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: This repository holds Depth Anything 3 weights that Comfy-Org re-packed so ComfyUI can load them. The model estimates depth, which means how near or far each part of a picture is. It comes as four files: base, metric large, mono large and small. The original models come from ByteDance Seed and the depth-anything group.

Who it suits: It suits people who build image or video workflows in ComfyUI and need a depth map as one step. It is a set of model files, not an app.

Title: Who uses it
Industry | Who uses it | How they use it | Example
AI art | Workflow builders | Make a depth map to guide another model | Feed a depth map into an image workflow
Video editing | Video editors | Estimate depth across the frames of a clip | Run the video depth template on a short clip
Research | Vision researchers | Try different model sizes on the same pictures | Compare the small and large files on one photo

People who do not use ComfyUI can skip it, since the card gives no other way to run it.

Where to use it:

  • ComfyUI, the only place the card describes
  • Windows, macOS or Linux with Python, to download the files
  • The ComfyUI workflow templates Depth Estimation: Depth Anything 3 and Depth Map: Depth Anything 3
Title: Top jobs
Use case | Who | What they get back
Image depth estimation | Workflow builders | A depth map of a picture
Video depth estimation | Video editors | Depth for the frames of a clip
Size choice | Researchers | Four model files to try

How to set it up:

  • ComfyUI installed on your computer
  • Python, for the download
  • The huggingface_hub package
  1. Install the Hugging Face hub package.
  2. Download the model files to your computer.
  3. Copy the four safetensors files into the geometry_estimation folder, inside ComfyUI's models folder.
  4. Restart ComfyUI so it sees the new files.
pip install -U huggingface_hub
hf download Comfy-Org/Depth-Anything-3

How to use it: In ComfyUI, open one of the two workflow templates from the Comfy-Org workflow templates, then run it on your picture or clip. The card gives no commands beyond the download.

Title: Files and templates
Name | What it is
depth_anything_3_base.safetensors | The base model
depth_anything_3_metric_large.safetensors | The metric large model
depth_anything_3_mono_large.safetensors | The mono large model
depth_anything_3_small.safetensors | The small model
Depth Estimation: Depth Anything 3 | A workflow template for pictures
Depth Map: Depth Anything 3 | A workflow template for video

Example: You open the Depth Estimation template and run it on a photo. The workflow returns a depth map of the scene. The card shows a before and after thumbnail pair for each template, so check the result on your own picture.

For newcomers and experts: If you are new, a depth map is a picture that shows which things are close and which are far. The first thing to try is the picture template with one photo, using the small file.

For experts, the record lists the task as depth estimation and the library as diffusion-single-file, based on DA3-BASE. The weights are single safetensors files that ComfyUI reads from its models folder. The card does not say how the metric and mono variants differ in output.

Download the four safetensors files
Copy them into the models folder
Open a Depth Anything 3 template
Run it to get the depth map

Good to know:

  • Repackaged files: the original work comes from the repositories the card names.
  • License: Apache 2.0.
  • Reach: it runs in ComfyUI on your computer.
  • Cost to run: none named.
  • Data it reaches: it downloads files from Hugging Face, and the source names nothing else.
  • Not for: chat, writing or any use outside ComfyUI.

On Hugging Face, 13 November 2026

  • Task: depth estimation
  • Library: diffusion-single-file
  • Downloads in the last 30 days: 74,199
  • Likes: 31
  • License: apache-2.0
  • Based on: depth-anything/DA3-BASE
  • Tags: diffusion-single-file, comfyui, depth-estimation

Links

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download Comfy-Org/Depth-Anything-3

Then follow the usage in its model card. Nothing in this kit runs by itself.

Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-13

Compare with similar

Listed Hugging Face models in the same category that share the most tags with this one.

ProductDownloads, last 30 daysLikesLicenseLast change
Depth Anything 3 by Comfy-Org This page74,19931apache-2.0
BiRefNetShares diffusion-single-file · comfyui232,00464mit
MOSS-Image depth control LoRAShares comfyui2,0116apache-2.0
BFS Best Face SwapShares comfyui4073mit
Moss-Image-Edit LoRA for ComfyUIShares comfyui018gpl-3.0
MOSS-Image-Edit-HQShares comfyui090apache-2.0
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

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