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Depth Anything Image turns a single image into a detailed grayscale depth map for depth-conditioned generation, relighting, 3D and compositing workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

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$0.005per run·~200 / $1

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Depth Anything Image

Depth Anything Image converts a single input image into a grayscale depth map for depth-conditioned generation, relighting, compositing, 2.5D effects, and 3D workflows.

The generated depth map preserves the input image resolution and represents relative scene depth, with nearby surfaces appearing lighter and distant surfaces appearing darker.

Why Choose This?

  • Single-image depth estimation
    Generate a detailed depth map directly from one input image.

  • Clear depth structure
    Preserve object boundaries and scene layering for downstream image and 3D workflows.

  • Input-resolution output
    The generated depth map matches the resolution of the source image.

  • Grayscale depth representation
    Nearby surfaces appear lighter, while distant surfaces appear darker.

  • Multiple output formats
    Export the depth map as jpeg, png, or webp.

  • Simple image workflow
    Provide an image URL, choose the output format, and generate the depth map.

Parameters

ParameterRequiredDescription
imageYesURL of the input image used for depth estimation.
output_formatNoOutput image format: jpeg, png, or webp. Default: jpeg.

How to Use

  1. Provide an input image — Upload an image or provide its URL.
  2. Choose output format optional — Select jpeg, png, or webp.
  3. Submit — Run the model to generate the grayscale depth map.
  4. Use the result — Apply the depth map in generation, relighting, compositing, parallax, or 3D workflows.

Pricing

Pricing is fixed at $0.005 per image.

OutputCost
One generated depth map$0.005

output_format does not add a separate charge.

Best Use Cases

  • Depth-conditioned generation — Use depth maps in image-generation or ControlNet-style workflows.
  • Relighting — Estimate scene depth to support depth-aware lighting adjustments.
  • Depth of field — Create foreground and background separation for focus effects.
  • Fog and atmospheric effects — Apply depth-dependent haze or environmental effects.
  • Compositing — Use depth information to improve layering and spatial placement.
  • 2.5D parallax — Create depth-based camera movement from a still image.
  • 3D prototyping — Use relative depth as a starting point for displacement or scene reconstruction workflows.

Pro Tips

  • Use png when you want to avoid lossy compression in downstream depth workflows.
  • Use images with clear foreground and background separation for easier depth interpretation.
  • Treat the result as relative depth, not real-world metric distance.
  • Lighter areas represent surfaces estimated to be closer to the camera.
  • Darker areas represent surfaces estimated to be farther from the camera.
  • Use Depth Anything V3 Image when you need the newer image-depth workflow.

Notes

  • image is required.
  • output_format defaults to jpeg.
  • Supported output formats are jpeg, png, and webp.
  • Output resolution matches the input image resolution.
  • The generated depth map represents relative rather than metric depth.
  • Nearby surfaces appear lighter and distant surfaces appear darker.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Depth Anything Image API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/depth-anything/image with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Depth Anything Image below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "output_format": "jpeg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/depth-anything/image" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/depth-anything/image";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "output_format": "jpeg"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "output_format": "jpeg"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/depth-anything/image", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Depth Anything Image API — Frequently asked questions

What is the Depth Anything Image API?

Depth Anything Image is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. Depth Anything Image turns a single image into a detailed grayscale depth map for depth-conditioned generation, relighting, 3D and compositing workflows. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Depth Anything Image API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/depth-anything-image.

How much does Depth Anything Image cost per run?

Depth Anything Image starts at $0.005 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Depth Anything Image accept?

Key inputs: `image`, `output_format`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/depth-anything-image.

How do I get started with the Depth Anything Image API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Depth Anything Image outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.