Prediction

ID

vhsmpx3btuge6nnjqsc4hlpkpy

Status

Succeeded

Source

Web

Hardware

A40

Total duration

47.2s

Created

over 1 year ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JSVqXgG63q99L7ZdLTqqTouNN7Piflc5JhoDZvj5qmzYVmt4/wet_coast.jpeg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JSVqXgG63q99L7ZdLTqqTouNN7Piflc5JhoDZvj5qmzYVmt4/wet_coast.jpeg"
    }
  }
);

// 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 lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    input={
        "image": "https://replicate.delivery/pbxt/JSVqXgG63q99L7ZdLTqqTouNN7Piflc5JhoDZvj5qmzYVmt4/wet_coast.jpeg"
    }
)
print(output)

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

Run lucataco/ms-img2vid 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": "085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    "input": {
      "image": "https://replicate.delivery/pbxt/JSVqXgG63q99L7ZdLTqqTouNN7Piflc5JhoDZvj5qmzYVmt4/wet_coast.jpeg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

47.2 seconds

lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7

Prediction

Model

ID

evhoqplbpwnogiefxianptkgou

Status

Succeeded

Source

Web

Hardware

A40

Total duration

47.6s

Created

over 1 year ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JSVsy60TPASdiDuQnknHNkzVckHO1533fRgWdL7vU4sHgVEN/violonist.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 lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JSVsy60TPASdiDuQnknHNkzVckHO1533fRgWdL7vU4sHgVEN/violonist.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 lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    input={
        "image": "https://replicate.delivery/pbxt/JSVsy60TPASdiDuQnknHNkzVckHO1533fRgWdL7vU4sHgVEN/violonist.png"
    }
)
print(output)

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

Run lucataco/ms-img2vid 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": "085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    "input": {
      "image": "https://replicate.delivery/pbxt/JSVsy60TPASdiDuQnknHNkzVckHO1533fRgWdL7vU4sHgVEN/violonist.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

47.6 seconds

lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7

Prediction

Model

ID

vnkien3bwftyw3mcdkvwomouuy

Status

Succeeded

Source

Web

Hardware

A40

Total duration

82.2s

Created

over 1 year ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JSVvJlsqXWW5Ir13w7ws8C4IZh48W0ZG9yNJD1T3dDRu3rPD/reverie.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 lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JSVvJlsqXWW5Ir13w7ws8C4IZh48W0ZG9yNJD1T3dDRu3rPD/reverie.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 lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    input={
        "image": "https://replicate.delivery/pbxt/JSVvJlsqXWW5Ir13w7ws8C4IZh48W0ZG9yNJD1T3dDRu3rPD/reverie.png"
    }
)
print(output)

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

Run lucataco/ms-img2vid 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": "085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    "input": {
      "image": "https://replicate.delivery/pbxt/JSVvJlsqXWW5Ir13w7ws8C4IZh48W0ZG9yNJD1T3dDRu3rPD/reverie.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

47.6 seconds

lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7

Prediction

Model

ID

kkn2dgtb5tgfiebdynjqkmzmoy

Status

Succeeded

Source

Web

Hardware

A40

Total duration

75.9s

Created

over 1 year ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JSVww3jEd3w5JIOiT9L5ezLh4ZsxegjulqS88iI5GkQYvbTj/renaissance.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 lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JSVww3jEd3w5JIOiT9L5ezLh4ZsxegjulqS88iI5GkQYvbTj/renaissance.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 lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    input={
        "image": "https://replicate.delivery/pbxt/JSVww3jEd3w5JIOiT9L5ezLh4ZsxegjulqS88iI5GkQYvbTj/renaissance.png"
    }
)
print(output)

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

Run lucataco/ms-img2vid 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": "085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    "input": {
      "image": "https://replicate.delivery/pbxt/JSVww3jEd3w5JIOiT9L5ezLh4ZsxegjulqS88iI5GkQYvbTj/renaissance.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

47.6 seconds

lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7

Prediction

Model

ID

twtyundbuduomwdvdxyk2br7ny

Status

Succeeded

Source

Web

Hardware

A40

Total duration

47.4s

Created

over 1 year ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JSW1SsimIijQEbgYfzJTXa3bRXeqqQ8xjrIPUswnCs32aNyX/animals_firecamp.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 lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JSW1SsimIijQEbgYfzJTXa3bRXeqqQ8xjrIPUswnCs32aNyX/animals_firecamp.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 lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    input={
        "image": "https://replicate.delivery/pbxt/JSW1SsimIijQEbgYfzJTXa3bRXeqqQ8xjrIPUswnCs32aNyX/animals_firecamp.png"
    }
)
print(output)

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

Run lucataco/ms-img2vid 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": "085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    "input": {
      "image": "https://replicate.delivery/pbxt/JSW1SsimIijQEbgYfzJTXa3bRXeqqQ8xjrIPUswnCs32aNyX/animals_firecamp.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

47.4 seconds

lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7

Prediction

Model

ID

fmhmz7bntnrma0ckkq6vwyvhxw

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

26.5s

Created

5 months ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/JSVmZhX1zQkzkRUhz2txyac0nBMJMoMvqCwar4zO2GlTVqVG/voilier.jpeg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JSVmZhX1zQkzkRUhz2txyac0nBMJMoMvqCwar4zO2GlTVqVG/voilier.jpeg"
    }
  }
);

// 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 lucataco/ms-img2vid using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ms-img2vid:085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    input={
        "image": "https://replicate.delivery/pbxt/JSVmZhX1zQkzkRUhz2txyac0nBMJMoMvqCwar4zO2GlTVqVG/voilier.jpeg"
    }
)
print(output)

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

Run lucataco/ms-img2vid 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": "085889c664efc0e1af8f50723d96bab59c3518ceda4205ec6f08b55723be45e7",
    "input": {
      "image": "https://replicate.delivery/pbxt/JSVmZhX1zQkzkRUhz2txyac0nBMJMoMvqCwar4zO2GlTVqVG/voilier.jpeg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

26.5 seconds