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Marigold V2 Depth

Edits a photo you give it

Liveby fal

Estimate depth from a single image with Marigold V2, a diffusion-based depth model built on Qwen-Image-Edit, returning a colorized depth map.

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Say it in your own words. Your agent picks this tool, fills in the details and brings back the answer.

Use Marigold V2 Depth to remove the background from this product photo.
Make this photo look like a watercolor painting.

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For developersSummary, tool id, API call and input schema

Image API by fal, callable through Superpowers. It costs $0.032 per image, charged only when the call succeeds. Call it with one API key: POST /v1/run with "tool": "fal.marigold-v2", or over MCP with run_tool.

Tool id
Price per call
$0.032 / image

Call it

Also over MCP as run_tool
curl -X POST https://superpowers.tools/v1/run \
  -H 'Authorization: Bearer $SP_KEY' \
  -d '{"tool":"fal.marigold-v2","input":{"image_url":""},"idempotency_key":"example-request-1"}'

Input

5 fields · 1 required
{
  "type": "object",
  "required": [
    "image_url"
  ],
  "properties": {
    "enable_safety_checker": {
      "type": "boolean",
      "description": "Authorized callers may set false to request relaxed screening.",
      "default": true
    },
    "seed": {
      "type": "integer",
      "description": "Random seed. Only affects the VAE encoder's latent sampling (the forward pass itself is a single deterministic step); the same seed and image reproduce the same output."
    },
    "prediction_type": {
      "type": "string",
      "description": "Prediction map to generate.",
      "default": "depth",
      "enum": [
        "depth",
        "see-through-depth",
        "normals",
        "albedo"
      ]
    },
    "image_size": {
      "type": "string",
      "description": "Inference size as an explicit `{width, height}` object or a preset string (e.g. `\"square_hd\"`, `\"landscape_4_3\"`). Both dimensions must be multiples of 16 and no larger than 2048 pixels on either side, with an aspect ratio between 1:16 and 16:1. Defaults to the input image's dimensions rounded to th",
      "enum": [
        "square_hd",
        "square",
        "portrait_4_3",
        "portrait_16_9",
        "landscape_4_3",
        "landscape_16_9"
      ]
    },
    "image_url": {
      "type": "string",
      "description": "Input image url."
    }
  }
}