Nodes/CRT-Nodes/DepthAnything3 (CRT)
ComfyUI Node

DepthAnything3 (CRT)

DA3 that downloads its own weights

By PGCRT·Created 2 years ago·Updated 6 days ago· 138
DepthAnything3 (CRT)
  • image
  • image
model_namedepth_anything_3_small.safetensors
keep_model_loadedtrue
weight_dtypedefault
megapixels0.50
modemono
outputdepth
normalizationv2_style
apply_sky_clipfalse
coloredfalse
ref_view_strategysaddle_balanced
pose_methodcam_dec

Depth Anything 3 (DA3) is ByteDance Seed's any-view depth-and-pose model - the point where the Depth Anything line stopped being just a ControlNet preprocessor and became a 3D-reconstruction model. DepthAnything3 (CRT) wraps it for ComfyUI with the CRT house style: pick a checkpoint, and it downloads the weights itself on first run into ComfyUI/models/geometry_estimation/, then runs the whole inference-and-render pipeline. One node, from image in to depth map out, no manual model downloads.

It's from PGCRT's CRT-Nodes pack. What makes this wrapper worth a look over the stock core support is the self-downloading - no hunting for a checkpoint, no guessing which .safetensors goes where - plus a couple of convenience knobs the core nodes make you assemble yourself.

The honest DA3 story

Before you invest, know the reception: DA3 launched loudly in November 2025, but as a preprocessor it never displaced Depth Anything V2. On single-image depth - the job everyone already had solved - it beats V2 incrementally, not dramatically, and the community mostly kept using V2 for ControlNet conditioning. Where DA3 genuinely matters is multi-view: consistent depth plus camera pose across a set of images, which fuses into point clouds and geometry for 3D pipelines. So the realistic question for this node is: are you feeding one image to a ControlNet, or are you reconstructing geometry from several views? The former is the V2 job; the latter is where this earns its keep.

How it works

The node calls into ComfyUI's own core DA3 inference and render machinery (comfy_extras.nodes_depth_anything_3), which merged into ComfyUI core in June 2026 - so you need a reasonably current ComfyUI, not a bleeding-edge one. It loads the model with your chosen weight_dtype (default default, or force fp16/bf16/fp32), infers depth geometry from your image, then renders it into the output format you asked for.

Four checkpoint options, all the Apache-2.0 ones - note the deliberate choice: DA3's two best checkpoints (Large and Giant) are CC BY-NC 4.0 non-commercial, so this node skips them entirely and offers small, base, mono_large, and metric_large. That's a nicer licensing posture than most wrappers bother with.

The settings that matter:

  • mode - mono (default) for a single image; multiview for a batch of views, which unlocks ref_view_strategy (how reference views get chosen) and pose_method (camera-pose estimation strategy). Multiview is the 3D-reconstruction feature.
  • output - depth, depth_colored, sky_mask, or confidence. depth is the grayscale map you'd feed a ControlNet; the others are DA3-specific extras.
  • megapixels (default 0.5) - the processing resolution. Higher gives finer detail at more cost; the resolution is derived from your image's aspect ratio, rounded to the model's 14px grid, capped at 2520.
  • normalization - v2_style (matches Depth Anything V2's output so your existing pipelines behave the same), min_max, or raw.
  • apply_sky_clip - clips the sky region, useful for sky-specific tasks.

Inputs: image (the IMAGE to estimate) plus model_name, keep_model_loaded, weight_dtype. Output: a single IMAGE with your chosen rendering.

Installing it

Part of CRT-Nodes - install once:

cd ComfyUI/custom_nodes
git clone https://github.com/PGCRT/CRT-Nodes.git
pip install -r requirements.txt

or via ComfyUI Manager (search CRT-Nodes), then restart. The requirements list is heavy because the pack bundles audio and vision tooling, so the install is slow even if DA3 is all you care about. First run downloads the model from Comfy-Org's DA3 repo - small/base are small models, so that part is quick.

Common issues

  • "Failed to load DA3 model" - you're on a ComfyUI older than the June 2026 core DA3 merge. Update ComfyUI; the node depends on core nodes that didn't exist before.
  • First run stalls - it's the model download; watch the console for the progress bar.
  • Forgetting it's a license filter, not a bug - the Large/Giant checkpoints aren't in the dropdown on purpose (non-commercial license). If you need them you're out of luck with this node by design.
  • Update breakage - red sockets or NaN after a CRT update → right-click → Fix node (recreate).
CategoryCRT/DepthAnything3

Inputs (12)

NameTypeDefaultDescription
model_nameCOMBOdepth_anything_3_small.safetensors4 options: depth_anything_3_small.safetensors, depth_anything_3_base.safetensors, depth_anything_3_mono_large.safetensors, depth_anything_3_metric_large.safetensors
keep_model_loadedBOOLEANtrue
weight_dtypeCOMBOdefault4 options: default, fp16, bf16, fp32
imageIMAGE
megapixelsFLOAT0.500.05–8
modeCOMBOmono2 options: mono, multiview
outputCOMBOdepth4 options: depth, depth_colored, sky_mask, confidence
normalizationCOMBOv2_style3 options: v2_style, min_max, raw
apply_sky_clipoptBOOLEANfalse
coloredoptBOOLEANfalse
ref_view_strategyoptCOMBOsaddle_balanced4 options: saddle_balanced, saddle_sim_range, first, middle
pose_methodoptCOMBOcam_dec2 options: cam_dec, ray_pose

Outputs (1)

NameTypeDescription
imageIMAGE