Prediction

ID

xspouuepindtbmyfscl4tadrwa

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.6s

Created

over 2 years ago

Input

prompt: A dog in the park
input_image
input_location: 0.5,0.5
output_relative_size: 1.5,1.5

{
  "prompt": "A dog in the park",
  "input_image": "https://replicate.delivery/pbxt/Hvo3ScWGwFyARVQa7EQriuagazgfR5k9Ymj3zKTovbmpIsms/WelshCorgi.jpeg",
  "input_location": "0.5,0.5",
  "output_relative_size": "1.5,1.5"
}

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

const output = await replicate.run(
  "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
  {
    input: {
      prompt: "A dog in the park",
      input_image: "https://replicate.delivery/pbxt/Hvo3ScWGwFyARVQa7EQriuagazgfR5k9Ymj3zKTovbmpIsms/WelshCorgi.jpeg",
      input_location: "0.5,0.5",
      output_relative_size: "1.5,1.5"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
    input={
        "prompt": "A dog in the park",
        "input_image": "https://replicate.delivery/pbxt/Hvo3ScWGwFyARVQa7EQriuagazgfR5k9Ymj3zKTovbmpIsms/WelshCorgi.jpeg",
        "input_location": "0.5,0.5",
        "output_relative_size": "1.5,1.5"
    }
)
print(output)

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

Run arielreplicate/paella_fast_outpainting 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": "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
    "input": {
      "prompt": "A dog in the park",
      "input_image": "https://replicate.delivery/pbxt/Hvo3ScWGwFyARVQa7EQriuagazgfR5k9Ymj3zKTovbmpIsms/WelshCorgi.jpeg",
      "input_location": "0.5,0.5",
      "output_relative_size": "1.5,1.5"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.6 seconds

arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73

Prediction

Model

ID

ov2kc3tkgbau7jdyivfbvqshvq

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.9s

Created

over 2 years ago

Input

prompt: A painting of two farmers
input_image
input_location: 0.5,0.5
output_relative_size: 1.25,1.25

{
  "prompt": "A painting of two farmers",
  "input_image": "https://replicate.delivery/pbxt/Hvo559nLk8MffjXAJ26lq0cUVERNT0ix8mAcwVkNOoUdDauA/farmers.jpg",
  "input_location": "0.5,0.5",
  "output_relative_size": "1.25,1.25"
}

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

const output = await replicate.run(
  "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
  {
    input: {
      prompt: "A painting of two farmers",
      input_image: "https://replicate.delivery/pbxt/Hvo559nLk8MffjXAJ26lq0cUVERNT0ix8mAcwVkNOoUdDauA/farmers.jpg",
      input_location: "0.5,0.5",
      output_relative_size: "1.25,1.25"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
    input={
        "prompt": "A painting of two farmers",
        "input_image": "https://replicate.delivery/pbxt/Hvo559nLk8MffjXAJ26lq0cUVERNT0ix8mAcwVkNOoUdDauA/farmers.jpg",
        "input_location": "0.5,0.5",
        "output_relative_size": "1.25,1.25"
    }
)
print(output)

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

Run arielreplicate/paella_fast_outpainting 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": "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
    "input": {
      "prompt": "A painting of two farmers",
      "input_image": "https://replicate.delivery/pbxt/Hvo559nLk8MffjXAJ26lq0cUVERNT0ix8mAcwVkNOoUdDauA/farmers.jpg",
      "input_location": "0.5,0.5",
      "output_relative_size": "1.25,1.25"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.9 seconds

arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73

Prediction

Model

ID

uznc225fgbeafjuuaqvsil6jna

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.5s

Created

over 2 years ago

Input

prompt: A teacher holding a notebook
input_image
input_location: 0.1,0.5
output_relative_size: 3,1.5

{
  "prompt": "A teacher holding a notebook",
  "input_image": "https://replicate.delivery/pbxt/Hvo6TmEAsU7ASvSEOg6pZTW2VkIa2NVnZXYs62XfaKAyIW4R/00019.png",
  "input_location": "0.1,0.5",
  "output_relative_size": "3,1.5"
}

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

const output = await replicate.run(
  "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
  {
    input: {
      prompt: "A teacher holding a notebook",
      input_image: "https://replicate.delivery/pbxt/Hvo6TmEAsU7ASvSEOg6pZTW2VkIa2NVnZXYs62XfaKAyIW4R/00019.png",
      input_location: "0.1,0.5",
      output_relative_size: "3,1.5"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
    input={
        "prompt": "A teacher holding a notebook",
        "input_image": "https://replicate.delivery/pbxt/Hvo6TmEAsU7ASvSEOg6pZTW2VkIa2NVnZXYs62XfaKAyIW4R/00019.png",
        "input_location": "0.1,0.5",
        "output_relative_size": "3,1.5"
    }
)
print(output)

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

Run arielreplicate/paella_fast_outpainting 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": "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
    "input": {
      "prompt": "A teacher holding a notebook",
      "input_image": "https://replicate.delivery/pbxt/Hvo6TmEAsU7ASvSEOg6pZTW2VkIa2NVnZXYs62XfaKAyIW4R/00019.png",
      "input_location": "0.1,0.5",
      "output_relative_size": "3,1.5"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.5 seconds

arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73

Prediction

Model

ID

lxhrdog7kjgn7i5v755sd24t2q

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.5s

Created

over 2 years ago

Input

prompt: A man with a very long beard
input_image
input_location: 0.1,0.5
output_relative_size: 2,1

{
  "prompt": "A man with a very long beard",
  "input_image": "https://replicate.delivery/pbxt/Hvo8UZlcOEJ1ZIK9oI1Sqi1veWIgz21v2S94eWK5fw5XQORa/00157.png",
  "input_location": "0.1,0.5",
  "output_relative_size": "2,1"
}

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

const output = await replicate.run(
  "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
  {
    input: {
      prompt: "A man with a very long beard",
      input_image: "https://replicate.delivery/pbxt/Hvo8UZlcOEJ1ZIK9oI1Sqi1veWIgz21v2S94eWK5fw5XQORa/00157.png",
      input_location: "0.1,0.5",
      output_relative_size: "2,1"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
    input={
        "prompt": "A man with a very long beard",
        "input_image": "https://replicate.delivery/pbxt/Hvo8UZlcOEJ1ZIK9oI1Sqi1veWIgz21v2S94eWK5fw5XQORa/00157.png",
        "input_location": "0.1,0.5",
        "output_relative_size": "2,1"
    }
)
print(output)

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

Run arielreplicate/paella_fast_outpainting 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": "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
    "input": {
      "prompt": "A man with a very long beard",
      "input_image": "https://replicate.delivery/pbxt/Hvo8UZlcOEJ1ZIK9oI1Sqi1veWIgz21v2S94eWK5fw5XQORa/00157.png",
      "input_location": "0.1,0.5",
      "output_relative_size": "2,1"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.5 seconds

arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73

Prediction

Model

ID

k2vfxcstczbchmg42dexxdahom

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.5s

Created

over 2 years ago

Input

prompt: A photo of an old man and an old woman
input_image
input_location: 0.1,0.75
output_relative_size: 1,2

{
  "prompt": "A photo of an old man and an old woman",
  "input_image": "https://replicate.delivery/pbxt/Hvo9ZcgQEvn7GAXxueaQhWaDAiyn1QXEKaif0qZDD83mh6O7/00283.png",
  "input_location": "0.1,0.75",
  "output_relative_size": "1,2"
}

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

const output = await replicate.run(
  "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
  {
    input: {
      prompt: "A photo of an old man and an old woman",
      input_image: "https://replicate.delivery/pbxt/Hvo9ZcgQEvn7GAXxueaQhWaDAiyn1QXEKaif0qZDD83mh6O7/00283.png",
      input_location: "0.1,0.75",
      output_relative_size: "1,2"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
    input={
        "prompt": "A photo of an old man and an old woman",
        "input_image": "https://replicate.delivery/pbxt/Hvo9ZcgQEvn7GAXxueaQhWaDAiyn1QXEKaif0qZDD83mh6O7/00283.png",
        "input_location": "0.1,0.75",
        "output_relative_size": "1,2"
    }
)
print(output)

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

Run arielreplicate/paella_fast_outpainting 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": "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
    "input": {
      "prompt": "A photo of an old man and an old woman",
      "input_image": "https://replicate.delivery/pbxt/Hvo9ZcgQEvn7GAXxueaQhWaDAiyn1QXEKaif0qZDD83mh6O7/00283.png",
      "input_location": "0.1,0.75",
      "output_relative_size": "1,2"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.4 seconds

arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73

Prediction

Model

ID

qs3awzyfavcpziedo4ckg53xqm

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.5s

Created

over 2 years ago

Input

prompt: A photo of happy people having dinner
input_image
input_location: 0.5,0.5
output_relative_size: 1.25,2

{
  "prompt": "A photo of happy people having dinner",
  "input_image": "https://replicate.delivery/pbxt/Hvo79jIFyaM7sZYIN7XyjzBe2guDp4GpBgLPKLgjh64aVglQ/supper.jpg",
  "input_location": "0.5,0.5",
  "output_relative_size": "1.25,2"
}

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

const output = await replicate.run(
  "arielreplicate/paella_fast_outpainting:2afe25a164af57f0cc890165c7680a2a16a38037978481d56e13ed600eb29b73",
  {
    input: {
      prompt: "A photo of happy people having dinner",
      input_image: "https://replicate.delivery/pbxt/Hvo79jIFyaM7sZYIN7XyjzBe2guDp4GpBgLPKLgjh64aVglQ/supper.jpg",
      input_location: "0.5,0.5",
      output_relative_size: "1.25,2"
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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