Depth Anything V2.

Depth Anything V2 Overview

Depth Anything V2 generates depth-map images from input photos for preprocessing, ControlNet guidance, and image-to-image workflows on each::labs.

The result is a depth-map image derived from a single source photograph.

Depth Anything V2 is available through each::labs in the utility-tools family. Required fields are image_url.

The operation uses the supplied source to perform its specific task. It can be placed between source preparation and final delivery without combining unrelated changes into the same request.

Use the Depth Anything V2 API when you need this transformation or analysis as a repeatable step in an application or creative pipeline. The sections below distinguish the required material, adjustable controls and checks that matter before delivery.

Capabilities

• The result is a depth-map image derived from a single source photograph.
• image_url: URL of the image to process into a depth map.
• Produces a image result for the next stage of your workflow.
• Runs the requested operation on the supplied input rather than requiring a manual editing session.
• Can be used as a focused processing step in an each::labs application.

Use Cases for Depth Anything V2

Depth Anything V2 is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support different parts of a working pipeline.

Creators

Prepare depth guidance for an image workflow. Use a representative source or a concise brief, then inspect the result before preparing a larger set of assets.

Design and marketing teams

Inspect relative foreground separation. Compare the result with the intended message, composition and destination. Keep reviewable versions of the source and output.

Developers

Create a depth-based compositing input. Inspect the actual returned value before connecting it to another step, and keep the chosen request settings with the result.

Start with a clear definition of the desired result and use the exposed controls to reach it. Keep any additional generation, editing or application logic in separate steps so that the effect of this operation remains easy to review.

Tips and Tricks

Start with the best available source and choose a target that fits the delivery need. Use restrained enhancement or segmentation settings first, then inspect the relevant regions before increasing the effect.

Choose a representative source for the first pass. Keep the original material and record the request values so that a successful result can be reproduced as part of your wider editing or processing sequence.

Set the named operation controls directly. This entry has no general creative-prompt interface; supplying an invented prompt field will not replace a required source or numeric setting.

Compare one deliberate adjustment at a time. Inspect the part of the result affected by that change, then check the rest of the asset or response for unwanted side effects before reusing the settings.

Technical Specifications

• Result type: image.
• Required fields: image_url.

image_url: URL of the image to process into a depth map.

Values must use the types and accepted options listed in the parameter reference. A displayed default does not remove a required-field requirement. Choose a supported output setting for this entry rather than borrowing a preset from a related model.

Things to Be Aware Of

Compare source and result side by side. Inspect texture, edges, small text and faces where present; an inferred enhancement or mask should not be treated as a recovered record of missing original detail.

Optional settings are not necessarily interchangeable with those on another entry in the same family. Use the accepted names, types and values shown for this operation.

For media-based inputs, supply a directly retrievable file URL rather than a page containing the asset. Keep the source available while processing. Check the final content in the destination player, editor or application, not only the request status.

Key Considerations

Treat the output as an inferred scene representation, not a calibrated physical measurement; ambiguous or reflective areas need review.

Execution-time pricing: $0.00125/sec based on run_time.

Prepare image_url before starting. Keep these settings aligned with the intended delivery, especially when a later step expects a particular type or format.

Run a representative request before scaling to a larger collection. Judge the result against the source and the brief, and account for all generated outputs or usage-sensitive options when estimating a batch.

Limitations

This entry supports the operation and controls described here; it does not provide a general interface for unrelated transformations.

Unsupported parameters do not establish additional capabilities. A generated result can differ from the intended brief, so review detail and consistency before publication.