Prediction

Model

medicapture/seg-model:d51c0e7c

ikgmxszbt6colz2v7dgnj7f5du

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

55.3s

Created

about 2 years ago

Webhook

–

Input

image: https://replicate.delivery/pbxt/JbjufeSNgnhd4kSJby2lEsvuEiJRnpUPcXCYFafCB1hIWT7k/08113317_20220311_DX_1_1_1-redacted_dot_app.jpg

{
  "image": "https://replicate.delivery/pbxt/JbjufeSNgnhd4kSJby2lEsvuEiJRnpUPcXCYFafCB1hIWT7k/08113317_20220311_DX_1_1_1-redacted_dot_app.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_VZe**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

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

const output = await replicate.run(
  "medicapture/seg-model:d51c0e7cb948983e4f1a74c1a0467e0a6805e797fb2e4055eabba2cca4b71a6b",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JbjufeSNgnhd4kSJby2lEsvuEiJRnpUPcXCYFafCB1hIWT7k/08113317_20220311_DX_1_1_1-redacted_dot_app.jpg"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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=r8_VZe**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "medicapture/seg-model:d51c0e7cb948983e4f1a74c1a0467e0a6805e797fb2e4055eabba2cca4b71a6b",
    input={
        "image": "https://replicate.delivery/pbxt/JbjufeSNgnhd4kSJby2lEsvuEiJRnpUPcXCYFafCB1hIWT7k/08113317_20220311_DX_1_1_1-redacted_dot_app.jpg"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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=r8_VZe**********************************

This is your API token. Keep it to yourself.

Run medicapture/seg-model 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": "medicapture/seg-model:d51c0e7cb948983e4f1a74c1a0467e0a6805e797fb2e4055eabba2cca4b71a6b",
    "input": {
      "image": "https://replicate.delivery/pbxt/JbjufeSNgnhd4kSJby2lEsvuEiJRnpUPcXCYFafCB1hIWT7k/08113317_20220311_DX_1_1_1-redacted_dot_app.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.8 second

Tweak it Report