Depth Anything Video estimates depth maps from video input with temporal consistency. Supports multiple model sizes and colormaps. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Idle
$0.04per run·~25 / $1
Wavespeed Depth Anything Video (VDA) is a specialized model designed to estimate dense, pixel-wise depth from monocular video. By transforming standard 2D footage into a grayscale depth map, it provides essential spatial data for 3D reconstruction, augmented reality, and professional visual effects.
| Parameter | Required | Description |
|---|---|---|
| video* | Yes | The input video file to process (Drag and drop a file or click to upload). |
| model | No | Selection of model scale: VDA-Small, VDA-Base, or VDA-Large (Default). |
| Version | Use Case | Performance |
|---|---|---|
| VDA-Small | Real-time applications and low-latency feedback. | Optimized Speed |
| VDA-Base | General creative projects and social media content. | Balanced |
| VDA-Large | High-end cinematography and 3D environment scanning. | Best Quality |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/depth-anything/video with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Depth Anything Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/depth-anything/video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"video": "https://example.com/your-input.mp4",
"model": "VDA-Large"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/depth-anything/video", {
"video": "https://example.com/your-input.mp4",
"model": "VDA-Large"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/depth-anything/video",
{
"video": "https://example.com/your-input.mp4",
"model": "VDA-Large"
}
)
print(output["outputs"][0]) # → URL of the generated outputDepth Anything Video is a WaveSpeedAI model for video editing, exposed as a REST API on WaveSpeedAI. Depth Anything Video estimates depth maps from video input with temporal consistency. Supports multiple model sizes and colormaps. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.
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 prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/depth-anything-video.
Depth Anything Video starts at $0.040 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.
Key inputs: `video`, `model`. 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-video.
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.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.