Prediction

ID

xyfnfnhp2nhw5b6lf7yitfe5ky

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago

Input

image
texture: clouds
model_type: iPER

{
  "image": "https://replicate.delivery/mgxm/617a3365-1913-4da7-bcad-15cec3233369/133.png",
  "texture": "clouds",
  "model_type": "iPER"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
  {
    input: {
      image: "https://replicate.delivery/mgxm/617a3365-1913-4da7-bcad-15cec3233369/133.png",
      texture: "clouds",
      model_type: "iPER"
    }
  }
);

console.log(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 mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    input={
        "image": "https://replicate.delivery/mgxm/617a3365-1913-4da7-bcad-15cec3233369/133.png",
        "texture": "clouds",
        "model_type": "iPER"
    }
)

# The mdork/image2video-synthesis-using-cinns model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/mdork/image2video-synthesis-using-cinns/api#output-schema
    print(item)

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

Run mdork/image2video-synthesis-using-cinns 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": "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    "input": {
      "image": "https://replicate.delivery/mgxm/617a3365-1913-4da7-bcad-15cec3233369/133.png",
      "texture": "clouds",
      "model_type": "iPER"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189

Prediction

Model

ID

e7jz3rfj6zasnex4b3pna5bunm

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago

Input

image
texture: fire
model_type: DTDB

{
  "image": "https://replicate.delivery/mgxm/6073a579-45f0-4430-8f0b-661bde108c43/sample1.jpg",
  "texture": "fire",
  "model_type": "DTDB"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
  {
    input: {
      image: "https://replicate.delivery/mgxm/6073a579-45f0-4430-8f0b-661bde108c43/sample1.jpg",
      texture: "fire",
      model_type: "DTDB"
    }
  }
);

console.log(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 mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    input={
        "image": "https://replicate.delivery/mgxm/6073a579-45f0-4430-8f0b-661bde108c43/sample1.jpg",
        "texture": "fire",
        "model_type": "DTDB"
    }
)

# The mdork/image2video-synthesis-using-cinns model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/mdork/image2video-synthesis-using-cinns/api#output-schema
    print(item)

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

Run mdork/image2video-synthesis-using-cinns 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": "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    "input": {
      "image": "https://replicate.delivery/mgxm/6073a579-45f0-4430-8f0b-661bde108c43/sample1.jpg",
      "texture": "fire",
      "model_type": "DTDB"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189

Prediction

Model

ID

24ysy2so45grzngc4c6emla7bu

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago

Input

image
texture: vegetation
model_type: DTDB

{
  "image": "https://replicate.delivery/mgxm/bce3a76b-785f-46ac-8c73-01ecf5ca5eb5/sample2.jpg",
  "texture": "vegetation",
  "model_type": "DTDB"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
  {
    input: {
      image: "https://replicate.delivery/mgxm/bce3a76b-785f-46ac-8c73-01ecf5ca5eb5/sample2.jpg",
      texture: "vegetation",
      model_type: "DTDB"
    }
  }
);

console.log(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 mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    input={
        "image": "https://replicate.delivery/mgxm/bce3a76b-785f-46ac-8c73-01ecf5ca5eb5/sample2.jpg",
        "texture": "vegetation",
        "model_type": "DTDB"
    }
)

# The mdork/image2video-synthesis-using-cinns model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/mdork/image2video-synthesis-using-cinns/api#output-schema
    print(item)

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

Run mdork/image2video-synthesis-using-cinns 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": "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    "input": {
      "image": "https://replicate.delivery/mgxm/bce3a76b-785f-46ac-8c73-01ecf5ca5eb5/sample2.jpg",
      "texture": "vegetation",
      "model_type": "DTDB"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189

Prediction

Model

ID

cyorkvrzuvedhpxiojpvrjyb7i

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago

Input

image
texture: waterfall
model_type: DTDB

{
  "image": "https://replicate.delivery/mgxm/14573ea2-a09a-42fd-ba78-5fe9d0f28781/sample4.jpg",
  "texture": "waterfall",
  "model_type": "DTDB"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
  {
    input: {
      image: "https://replicate.delivery/mgxm/14573ea2-a09a-42fd-ba78-5fe9d0f28781/sample4.jpg",
      texture: "waterfall",
      model_type: "DTDB"
    }
  }
);

console.log(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 mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    input={
        "image": "https://replicate.delivery/mgxm/14573ea2-a09a-42fd-ba78-5fe9d0f28781/sample4.jpg",
        "texture": "waterfall",
        "model_type": "DTDB"
    }
)

# The mdork/image2video-synthesis-using-cinns model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/mdork/image2video-synthesis-using-cinns/api#output-schema
    print(item)

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

Run mdork/image2video-synthesis-using-cinns 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": "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    "input": {
      "image": "https://replicate.delivery/mgxm/14573ea2-a09a-42fd-ba78-5fe9d0f28781/sample4.jpg",
      "texture": "waterfall",
      "model_type": "DTDB"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189

Prediction

Model

ID

7b5phdy3yrgkhpue6apjv7c65i

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago

Input

image
texture: clouds
model_type: landscape

{
  "image": "https://replicate.delivery/mgxm/3908a711-16f2-4f18-b611-70cfa8bd4070/sample2.jpg",
  "texture": "clouds",
  "model_type": "landscape"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
  {
    input: {
      image: "https://replicate.delivery/mgxm/3908a711-16f2-4f18-b611-70cfa8bd4070/sample2.jpg",
      texture: "clouds",
      model_type: "landscape"
    }
  }
);

console.log(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 mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    input={
        "image": "https://replicate.delivery/mgxm/3908a711-16f2-4f18-b611-70cfa8bd4070/sample2.jpg",
        "texture": "clouds",
        "model_type": "landscape"
    }
)

# The mdork/image2video-synthesis-using-cinns model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/mdork/image2video-synthesis-using-cinns/api#output-schema
    print(item)

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

Run mdork/image2video-synthesis-using-cinns 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": "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    "input": {
      "image": "https://replicate.delivery/mgxm/3908a711-16f2-4f18-b611-70cfa8bd4070/sample2.jpg",
      "texture": "clouds",
      "model_type": "landscape"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189

Prediction

Model

ID

mox4tezmx5gxnkxaq33g6e7vxq

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago

Input

image
texture: clouds
model_type: DTDB

{
  "image": "https://replicate.delivery/mgxm/4ee08776-6a1e-4eb7-bded-48a8c9aefd59/sample8.png",
  "texture": "clouds",
  "model_type": "DTDB"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
  {
    input: {
      image: "https://replicate.delivery/mgxm/4ee08776-6a1e-4eb7-bded-48a8c9aefd59/sample8.png",
      texture: "clouds",
      model_type: "DTDB"
    }
  }
);

console.log(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 mdork/image2video-synthesis-using-cinns using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    input={
        "image": "https://replicate.delivery/mgxm/4ee08776-6a1e-4eb7-bded-48a8c9aefd59/sample8.png",
        "texture": "clouds",
        "model_type": "DTDB"
    }
)

# The mdork/image2video-synthesis-using-cinns model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/mdork/image2video-synthesis-using-cinns/api#output-schema
    print(item)

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

Run mdork/image2video-synthesis-using-cinns 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": "mdork/image2video-synthesis-using-cinns:85121d411a88b3ab962579be9916247d67196e34ca2d90d8bac15287b144e189",
    "input": {
      "image": "https://replicate.delivery/mgxm/4ee08776-6a1e-4eb7-bded-48a8c9aefd59/sample8.png",
      "texture": "clouds",
      "model_type": "DTDB"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output