swook / inspyrenet

Segment foreground objects with high resolution and matting, using InSPyReNet

Cold

Public
694K runs
T4
GitHub
Paper
License

Iterate in playground

Run with an API

Playground API Examples README Versions

Prediction

swook/inspyrenet:fca3acc6a853c0af68f66a81cbe5085a9ea40ff82661420dbd7dbd75b48a6ec3

Model

swook/inspyrenet:fca3acc6

c4j934zm55rgw0cfjk8t5tdd34

Status

Succeeded

Source

Web

Hardware

Total duration

41.1s

Created

about 1 year ago

Input

image_path

{
  "image_path": "https://replicate.delivery/pbxt/Kwzhmys6DB1OjMatc2GvmmBEB0oEIw0NMIyCOgNxpce1FBX5/jack-dong-i81Ao3fa7MQ-unsplash.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

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 swook/inspyrenet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "swook/inspyrenet:fca3acc6a853c0af68f66a81cbe5085a9ea40ff82661420dbd7dbd75b48a6ec3",
  {
    input: {
      image_path: "https://replicate.delivery/pbxt/Kwzhmys6DB1OjMatc2GvmmBEB0oEIw0NMIyCOgNxpce1FBX5/jack-dong-i81Ao3fa7MQ-unsplash.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

Import the client:

import replicate

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

output = replicate.run(
    "swook/inspyrenet:fca3acc6a853c0af68f66a81cbe5085a9ea40ff82661420dbd7dbd75b48a6ec3",
    input={
        "image_path": "https://replicate.delivery/pbxt/Kwzhmys6DB1OjMatc2GvmmBEB0oEIw0NMIyCOgNxpce1FBX5/jack-dong-i81Ao3fa7MQ-unsplash.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.

Run swook/inspyrenet 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": "swook/inspyrenet:fca3acc6a853c0af68f66a81cbe5085a9ea40ff82661420dbd7dbd75b48a6ec3",
    "input": {
      "image_path": "https://replicate.delivery/pbxt/Kwzhmys6DB1OjMatc2GvmmBEB0oEIw0NMIyCOgNxpce1FBX5/jack-dong-i81Ao3fa7MQ-unsplash.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.0 seconds

Tweak it ShareReport

Prediction

swook/inspyrenet:fca3acc6a853c0af68f66a81cbe5085a9ea40ff82661420dbd7dbd75b48a6ec3

Model

swook/inspyrenet:fca3acc6

6skzgn47jnrgr0cfjk8bk3zccg

Status

Succeeded

Source

Web

Hardware

Total duration

2m 11s

Created

about 1 year ago

Input

image_path

{
  "image_path": "https://replicate.delivery/pbxt/KwzgKEBDpHDeE0ug6czepsWTEQ6BzAqnB99mypPF5rcV02C8/moritz-lange-ALwYT8sI9SI-unsplash.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

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 swook/inspyrenet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "swook/inspyrenet:fca3acc6a853c0af68f66a81cbe5085a9ea40ff82661420dbd7dbd75b48a6ec3",
  {
    input: {
      image_path: "https://replicate.delivery/pbxt/KwzgKEBDpHDeE0ug6czepsWTEQ6BzAqnB99mypPF5rcV02C8/moritz-lange-ALwYT8sI9SI-unsplash.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

Import the client:

import replicate

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

output = replicate.run(
    "swook/inspyrenet:fca3acc6a853c0af68f66a81cbe5085a9ea40ff82661420dbd7dbd75b48a6ec3",
    input={
        "image_path": "https://replicate.delivery/pbxt/KwzgKEBDpHDeE0ug6czepsWTEQ6BzAqnB99mypPF5rcV02C8/moritz-lange-ALwYT8sI9SI-unsplash.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.

Run swook/inspyrenet 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": "swook/inspyrenet:fca3acc6a853c0af68f66a81cbe5085a9ea40ff82661420dbd7dbd75b48a6ec3",
    "input": {
      "image_path": "https://replicate.delivery/pbxt/KwzgKEBDpHDeE0ug6czepsWTEQ6BzAqnB99mypPF5rcV02C8/moritz-lange-ALwYT8sI9SI-unsplash.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

4.1 seconds

Tweak it ShareReport

Want to make some of these yourself?

Run this model

swook / inspyrenet

Prediction

Input

Output

Prediction

Input

Output

Logs (c4j934zm55rgw0cfjk8t5tdd34)

Logs (6skzgn47jnrgr0cfjk8bk3zccg)