zsxkib/talknet-asd:b20bdfcc – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

zsxkib /talknet-asd:b20bdfcc

Playground API

Input

video

*file

Path to the video

face_det_scale

number

(minimum: 0, maximum: 1)

Scale factor for face detection, the frames will be scaled to 0.25 of the original

Default: 0.25

min_track

integer

Number of min frames for each shot

Default: 10

num_failed_det

integer

(minimum: 1)

Number of missed detections allowed before tracking is stopped

Default: 10

min_face_size

integer

(minimum: 1)

Minimum face size in pixels

Default: 1

crop_scale

number

(minimum: 0, maximum: 1)

Scale bounding box

Default: 0.4

start

integer

(minimum: 0)

The start time of the video

Default: 0

duration

integer

The duration of the video, when set as -1, will extract the whole video

Default: -1

return_json

boolean

Return results in json format

Default: true

return_boundingbox_percentages

boolean

Return bounding box coordinates as percentages of the video width and height

Default: false

Run this model in Node.js with one line of code:

npx create-replicate --model=zsxkib/talknet-asd

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run zsxkib/talknet-asd using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zsxkib/talknet-asd:b20bdfcce1be27c550c2639ed70f5e09add4722d5589b07bf61ffb3b773c0517",
  {
    input: {
      start: 0,
      duration: -1,
      min_track: 10,
      crop_scale: 0.4,
      return_json: true,
      min_face_size: 1,
      face_det_scale: 0.25,
      num_failed_det: 10,
      return_boundingbox_percentages: false
    }
  }
);

console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run zsxkib/talknet-asd using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zsxkib/talknet-asd:b20bdfcce1be27c550c2639ed70f5e09add4722d5589b07bf61ffb3b773c0517",
    input={
        "start": 0,
        "duration": -1,
        "min_track": 10,
        "crop_scale": 0.4,
        "return_json": True,
        "min_face_size": 1,
        "face_det_scale": 0.25,
        "num_failed_det": 10,
        "return_boundingbox_percentages": False
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run zsxkib/talknet-asd using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "zsxkib/talknet-asd:b20bdfcce1be27c550c2639ed70f5e09add4722d5589b07bf61ffb3b773c0517",
    "input": {
      "start": 0,
      "duration": -1,
      "min_track": 10,
      "crop_scale": 0.4,
      "return_json": true,
      "min_face_size": 1,
      "face_det_scale": 0.25,
      "num_failed_det": 10,
      "return_boundingbox_percentages": false
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

No output yet! Press "Submit" to start a prediction.