namifusion

How to Use the FaceDetect API: face swap integration guide (2026)

2 min · Updated 2026-07-11 · By the NamiFusion team

Learn how to call the FaceDetect API on NamiFusion: parameters, pricing and runnable copy-paste code — try it in the playground first.

FaceDetect is a face swap model by NamiFusion: A face detection model used to detect facial information contained in input elements. On NamiFusion you can try it in the playground (exact quote shown before you submit), then call it through one unified REST API.

TL;DR

· Task type: face swap, provided by NamiFusion

· Pricing: pay-as-you-go credits ($1 = 100 credits), no subscription

· Getting started: playground (exact quote before submit) → create an API key → one POST request

· Tunable parameters: 8 (see the table below)

· No platform watermark; commercial use allowed (per the Terms of Service)

What can you build with FaceDetect?

Film and short-drama post-production: replace faces for reshoots or multi-language localization.

Memes and entertainment: put yourself or friends into iconic scenes — built for social sharing.

Virtual personas and privacy: use a substitute face for streams and on-camera content.

Batch production: map multiple source faces onto the same footage to mass-produce personalized versions.

How do you call this API?

1. Sign up on NamiFusion and create a key on the API Keys page (free credits on signup).

2. Submit a task with the cURL example below, passing your key as a Bearer token.

3. Poll the task status with the returned task_uuid and read the output URLs when completed.

Submit a task
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/namifusion/detect_faces" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "url": "https://assets-public.namifusion.com/marketplace/thumbnails/2026-02-25/fb559d5bc3dc.png",
    "num_frames": 5,
    "return_face_url": true,
    "single_face": false,
    "deduplicate": true,
    "similarity_threshold": 0.45,
    "time_range": {}
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"

What parameters does it take?

url (Media URL): optional

img (Base64 Image): optional

num_frames (Number of Frames): optional, default 5

return_face_url (Return Face URL): optional, default true

single_face (Single Face Only): optional, default false

deduplicate (Deduplicate Faces): optional, default true

similarity_threshold (Similarity Threshold): optional, default 0.45

time_range (Time Range): optional, default {}

How do you write prompts for FaceDetect?

1. Subject first: lead with the actor and action, then add environment, lighting and style ("an astronaut sprinting through a neon street in the rain, cinematic, shallow depth of field").

2. Concrete nouns beat stacked adjectives: "85mm portrait lens, golden-hour backlight" works far better than "very beautiful, ultra high quality".

3. Change one variable per iteration: pin the seed to reproduce a result, tweak a single phrase at a time so you know what actually moved the output.

4. State negatives positively: instead of "no blur", ask for "sharp focus, crisp details".

How much does it cost?

Pay-per-use in credits ($1 = 100 credits). The exact price varies with parameters; the playground shows the quote before you submit.

FaceDetect

AI Video Face Swap: Supports single-person automatic face swap and multi-person precise mapping, combined with face detection for a complete video face swap workflow.

NamiFusion Video FaceSwap is a high-quality AI video face swap service that replaces source faces onto target videos. It offers two modes: single-person face swap (automatic mode) and multi-person face swap (precise mapping mode), and can be combined with NamiFusion Detect Faces to achieve a complete workflow from face detection to face swapping.


Key Features

  • Single-Person Face Swap: Enable single_face_mode to automatically complete the face swap without any additional configuration.
  • Multi-Person Precise Mapping: Use face_mapping to precisely specify the correspondence between source faces and target faces, supporting one-to-one and many-to-many mappings.
  • Face Enhancement: Optional advanced beautification that automatically smooths skin and removes facial blemishes, improving post-swap face quality.
  • Async Tasks: Returns a task_uuid after submission; retrieve results via polling or Webhook.

Technical Specifications

ParameterDetails
Model IDnamifusion/faceswap-video
Request MethodAsync POST (submit task + poll/Webhook for results)
InputSource face image URL + target video URL
OutputFace-swapped video URL
Processing TimeTypically 30 seconds to several minutes (depends on video duration and resolution)
Source Image FormatsJPG, PNG; resolution up to 4K
Target Video FormatsMP4, MOV, WEBM, AVI; max file size 5 GB; max duration 2 hours; resolution up to 4K

Quick Start

API Endpoints

EndpointMethodDescription
/api/v1/marketplace/run/namifusion/faceswap-videoPOSTSubmit a video face swap task
/api/v1/marketplace/run/tasks/{task_uuid}GETQuery task status and results

Authentication

Include your API Key in the request header:

X-API-Key: sk-your-api-key

FAQ

Can I try it for free first?+

Signup gives you free credits, but they currently apply only to selected in-app face-swap features — this model is pay-as-you-go. The playground still lets you try it without code, with the exact quote shown before you submit.

Can I use the output commercially? Is there a watermark?+

Yes, outputs are yours to use commercially, and NamiFusion adds no platform watermark — subject to the Terms of Service and applicable law.

What is the content policy?+

NamiFusion is an unfiltered engine: no arbitrary restrictions and NSFW-friendly, but illegal content and non-consensual use of real people are prohibited — see the Terms of Service.

How long does a FaceDetect task take?+

It depends on parameters — images usually take seconds, videos tens of seconds to minutes. The API returns a task_uuid for polling.

What are the resolution and duration limits?+

See the parameter table above — each model lists its available resolution and duration options there and in the playground.