Prediction

ID

km3awf5nprfi5pr2gut6jeqhyq

Status

Succeeded

Source

Web

Hardware

–

Total duration

1m 44s

Created

almost 3 years ago by @vccheng2001

Input

image

{
  "image": "https://replicate.delivery/mgxm/b1032f42-8b1a-4c2f-9ad0-9bb9b04fa5a8/test_01_facebook.jpg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
  {
    input: {
      image: "https://replicate.delivery/mgxm/b1032f42-8b1a-4c2f-9ad0-9bb9b04fa5a8/test_01_facebook.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.

pip install replicate

Import the client:

import replicate

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    input={
        "image": "https://replicate.delivery/mgxm/b1032f42-8b1a-4c2f-9ad0-9bb9b04fa5a8/test_01_facebook.jpg"
    }
)
print(output)

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

Run highwaywu/image-forgery-detection 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": "ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    "input": {
      "image": "https://replicate.delivery/mgxm/b1032f42-8b1a-4c2f-9ad0-9bb9b04fa5a8/test_01_facebook.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

10.1 seconds

highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08

Prediction

Model

ID

xo46mzhwonadze7ix4feezmani

Status

Succeeded

Source

Web

Hardware

–

Total duration

3.6s

Created

almost 3 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/da7bed85-3ce7-4c14-aa08-3db671e3b737/Screen_Shot_2022-06-26_at_5.50.13_PM.png"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
  {
    input: {
      image: "https://replicate.delivery/mgxm/da7bed85-3ce7-4c14-aa08-3db671e3b737/Screen_Shot_2022-06-26_at_5.50.13_PM.png"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    input={
        "image": "https://replicate.delivery/mgxm/da7bed85-3ce7-4c14-aa08-3db671e3b737/Screen_Shot_2022-06-26_at_5.50.13_PM.png"
    }
)
print(output)

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

Run highwaywu/image-forgery-detection 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": "ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    "input": {
      "image": "https://replicate.delivery/mgxm/da7bed85-3ce7-4c14-aa08-3db671e3b737/Screen_Shot_2022-06-26_at_5.50.13_PM.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.5 seconds

highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08

Prediction

Model

ID

viijwod7zvbyvmuhfiwbpi73ti

Status

Succeeded

Source

Web

Hardware

–

Total duration

3.2s

Created

almost 3 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/f88fe9c4-7c68-4eaf-a0f2-57c4792cb05c/Screen_Shot_2022-06-26_at_5.51.33_PM.png"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
  {
    input: {
      image: "https://replicate.delivery/mgxm/f88fe9c4-7c68-4eaf-a0f2-57c4792cb05c/Screen_Shot_2022-06-26_at_5.51.33_PM.png"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    input={
        "image": "https://replicate.delivery/mgxm/f88fe9c4-7c68-4eaf-a0f2-57c4792cb05c/Screen_Shot_2022-06-26_at_5.51.33_PM.png"
    }
)
print(output)

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

Run highwaywu/image-forgery-detection 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": "ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    "input": {
      "image": "https://replicate.delivery/mgxm/f88fe9c4-7c68-4eaf-a0f2-57c4792cb05c/Screen_Shot_2022-06-26_at_5.51.33_PM.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.1 seconds

highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08

Prediction

Model

ID

q3xvm22jpreezayg2k2nz43dqq

Status

Succeeded

Source

Web

Hardware

–

Total duration

3.1s

Created

almost 3 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/08c5a3f2-a377-45b8-86ab-3f45b4962ee1/Screen_Shot_2022-06-26_at_5.52.19_PM.png"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
  {
    input: {
      image: "https://replicate.delivery/mgxm/08c5a3f2-a377-45b8-86ab-3f45b4962ee1/Screen_Shot_2022-06-26_at_5.52.19_PM.png"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    input={
        "image": "https://replicate.delivery/mgxm/08c5a3f2-a377-45b8-86ab-3f45b4962ee1/Screen_Shot_2022-06-26_at_5.52.19_PM.png"
    }
)
print(output)

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

Run highwaywu/image-forgery-detection 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": "ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    "input": {
      "image": "https://replicate.delivery/mgxm/08c5a3f2-a377-45b8-86ab-3f45b4962ee1/Screen_Shot_2022-06-26_at_5.52.19_PM.png"
    }
  }' \
  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

highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08

Prediction

Model

ID

4qwxce43sbcwlchzwpu4pn5m4m

Status

Succeeded

Source

Web

Hardware

–

Total duration

3.1s

Created

almost 3 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/fbedb9e5-7de7-465e-bb0d-d53b2f958272/Screen_Shot_2022-06-26_at_5.53.08_PM.png"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
  {
    input: {
      image: "https://replicate.delivery/mgxm/fbedb9e5-7de7-465e-bb0d-d53b2f958272/Screen_Shot_2022-06-26_at_5.53.08_PM.png"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    input={
        "image": "https://replicate.delivery/mgxm/fbedb9e5-7de7-465e-bb0d-d53b2f958272/Screen_Shot_2022-06-26_at_5.53.08_PM.png"
    }
)
print(output)

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

Run highwaywu/image-forgery-detection 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": "ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    "input": {
      "image": "https://replicate.delivery/mgxm/fbedb9e5-7de7-465e-bb0d-d53b2f958272/Screen_Shot_2022-06-26_at_5.53.08_PM.png"
    }
  }' \
  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

highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08

Prediction

Model

ID

bzquscpshfdzbac2h4iugmykf4

Status

Succeeded

Source

Web

Hardware

–

Total duration

3.1s

Created

almost 3 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/ebc79f04-83c8-479f-b83c-842915164e5b/Screen_Shot_2022-06-26_at_5.55.20_PM.png"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
  {
    input: {
      image: "https://replicate.delivery/mgxm/ebc79f04-83c8-479f-b83c-842915164e5b/Screen_Shot_2022-06-26_at_5.55.20_PM.png"
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

Run highwaywu/image-forgery-detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "highwaywu/image-forgery-detection:ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    input={
        "image": "https://replicate.delivery/mgxm/ebc79f04-83c8-479f-b83c-842915164e5b/Screen_Shot_2022-06-26_at_5.55.20_PM.png"
    }
)
print(output)

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

Run highwaywu/image-forgery-detection 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": "ab6f81afdf0de95354d44b61c18f4dfe31dc0ad83da8b0406d57afff8f6ace08",
    "input": {
      "image": "https://replicate.delivery/mgxm/ebc79f04-83c8-479f-b83c-842915164e5b/Screen_Shot_2022-06-26_at_5.55.20_PM.png"
    }
  }' \
  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