Smart Segmentation

Segment a requested subject from an image using the a prompt-guided VLM workflow. Returns one or more mask/segmentation outputs from a prompt-guided image analysis pass.

By Runflow

Pricing: $0.12 per request

Overview

Smart Segmentation extracts a prompt-selected subject or region from an input image and returns a mask through the standard Runflow output contract. Send an image URL and a concrete prompt such as "left shoe", "mug handle", or "character head" to target the region you need.

Key capabilities

• **$0.12 per successful image**, fixed per-run pricing for prompt-guided segmentation masks.
• **Multi-region failover**, Runflow runs optimized inference across multiple regions. If one region has an outage, traffic routes to another automatically.
• **Prompt-guided selection**, useful when a scene contains multiple objects and you need a specific part instead of the whole foreground.
• **Simple API shape**, production calls use `image_url` and `prompt`; internal filename handling is inferred automatically from the URL.

Technical specifications

| Spec | Details |

|---|---|

| Input | Image URL plus text prompt |

| Output | Image mask in `outputs[]` |

| Category | Image to image |

| Pricing | $0.12 per successful run |

Examples

• Sample segmentation run
• Generated through draft Runflow dispatch during CLI audit.

Frequently asked questions

What is Smart Segmentation?

Smart Segmentation is a Runflow image model that creates a mask for a prompt-selected subject or region in an image. It is designed for cases where you need a specific object part, product region, or character component instead of a full foreground cutout.

How much does Smart Segmentation cost on Runflow?

Smart Segmentation costs $0.12 per successful image run on Runflow. Failed or canceled runs are not intended to be used as billable production outputs.

What inputs does Smart Segmentation need?

Smart Segmentation needs an image_url and a prompt. The prompt should be concrete, for example "left shoe", "mug handle", "jacket collar", or "character head". Runflow infers the internal input filename from the image URL automatically.

What does Smart Segmentation return?

Smart Segmentation returns a mask image in the standard Runflow outputs array. You can inspect, composite, or post-process that mask in your own pipeline.

Can I use Smart Segmentation commercially?

Smart Segmentation is available through Runflow for commercial API use, subject to your Runflow account terms and acceptable-use policies.

Do I need to manage GPUs for Smart Segmentation?

No. Smart Segmentation runs through Runflow infrastructure, so you call the API and Runflow handles dispatch, inference, retries, and regional availability.

Related models

• FLUX.1 [dev] Edit, Image-to-image edits with FLUX.1 [dev]. Pass a source image plus a prompt and a transformation strength to redirect the composition while preserving subject identity.
• Multi Angles, Re-render the same subject from a different camera angle. Pick a horizontal view, a vertical angle, and a shot distance: the model rotates the camera around the subject and re-renders the scene from that pose.
• FLUX.2 [klein] 4B Edit, Fast image-edit endpoint backed by FLUX.2 [klein] 4B. Pass a base64 source image with the prompt for low-latency edits.
• Logo Inpaint, Place a logo onto a target image, with optional mask to constrain placement. When the mask is omitted, the workflow picks a placement automatically.

Discoverable surfaces

• Dispatch endpoint: POST https://api.runflow.io/v1/models/smart-segmentation/runs
• Per-model spec (markdown): https://app.runflow.io/models/smart-segmentation/llms.txt
• Docs page: https://docs.runflow.io/models/smart-segmentation
• Public OpenAPI spec: https://docs.runflow.io/api/openapi.public.json
• Agent skill (start here): https://www.runflow.io/.well-known/agent-skills/runflow/SKILL.md