Prediction

ID

tx33twhdobd53lb7zrukqhc2jy

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.2s

Created

almost 3 years ago

Input

mode: art
style
content
style_size: 0
content_size: 0

{
  "mode": "art",
  "style": "https://replicate.delivery/mgxm/e6ceb14e-95e3-4896-a5d3-a4e1762ca5d1/3.jpg",
  "content": "https://replicate.delivery/mgxm/808d4433-623b-48cf-9701-1e3975c28324/in2.jpg",
  "style_size": 0,
  "content_size": 0
}

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 jarrentwu1031/ccpl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
  {
    input: {
      mode: "art",
      style: "https://replicate.delivery/mgxm/e6ceb14e-95e3-4896-a5d3-a4e1762ca5d1/3.jpg",
      content: "https://replicate.delivery/mgxm/808d4433-623b-48cf-9701-1e3975c28324/in2.jpg",
      style_size: 0,
      content_size: 0
    }
  }
);

// 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 jarrentwu1031/ccpl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
    input={
        "mode": "art",
        "style": "https://replicate.delivery/mgxm/e6ceb14e-95e3-4896-a5d3-a4e1762ca5d1/3.jpg",
        "content": "https://replicate.delivery/mgxm/808d4433-623b-48cf-9701-1e3975c28324/in2.jpg",
        "style_size": 0,
        "content_size": 0
    }
)
print(output)

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

Run jarrentwu1031/ccpl 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": "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
    "input": {
      "mode": "art",
      "style": "https://replicate.delivery/mgxm/e6ceb14e-95e3-4896-a5d3-a4e1762ca5d1/3.jpg",
      "content": "https://replicate.delivery/mgxm/808d4433-623b-48cf-9701-1e3975c28324/in2.jpg",
      "style_size": 0,
      "content_size": 0
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/jarrentwu1031/ccpl@sha256:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46 \
  -i 'mode="art"' \
  -i 'style="https://replicate.delivery/mgxm/e6ceb14e-95e3-4896-a5d3-a4e1762ca5d1/3.jpg"' \
  -i 'content="https://replicate.delivery/mgxm/808d4433-623b-48cf-9701-1e3975c28324/in2.jpg"' \
  -i 'style_size=0' \
  -i 'content_size=0'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/jarrentwu1031/ccpl@sha256:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mode": "art",
      "style": "https://replicate.delivery/mgxm/e6ceb14e-95e3-4896-a5d3-a4e1762ca5d1/3.jpg",
      "content": "https://replicate.delivery/mgxm/808d4433-623b-48cf-9701-1e3975c28324/in2.jpg",
      "style_size": 0,
      "content_size": 0
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

1.0 second

jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46

Prediction

Model

ID

cxexpqjttfhtflb5aulavhmsyy

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.4s

Created

almost 3 years ago

Input

mode: art
style
content
style_size: 0
content_size: 0

{
  "mode": "art",
  "style": "https://replicate.delivery/mgxm/fa2951de-0e0c-4c62-affd-a50334126bba/6.jpg",
  "content": "https://replicate.delivery/mgxm/1d0eb9b8-0229-477e-a436-edfa25a21d07/newyork.jpg",
  "style_size": 0,
  "content_size": 0
}

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 jarrentwu1031/ccpl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
  {
    input: {
      mode: "art",
      style: "https://replicate.delivery/mgxm/fa2951de-0e0c-4c62-affd-a50334126bba/6.jpg",
      content: "https://replicate.delivery/mgxm/1d0eb9b8-0229-477e-a436-edfa25a21d07/newyork.jpg",
      style_size: 0,
      content_size: 0
    }
  }
);

// 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 jarrentwu1031/ccpl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
    input={
        "mode": "art",
        "style": "https://replicate.delivery/mgxm/fa2951de-0e0c-4c62-affd-a50334126bba/6.jpg",
        "content": "https://replicate.delivery/mgxm/1d0eb9b8-0229-477e-a436-edfa25a21d07/newyork.jpg",
        "style_size": 0,
        "content_size": 0
    }
)
print(output)

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

Run jarrentwu1031/ccpl 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": "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
    "input": {
      "mode": "art",
      "style": "https://replicate.delivery/mgxm/fa2951de-0e0c-4c62-affd-a50334126bba/6.jpg",
      "content": "https://replicate.delivery/mgxm/1d0eb9b8-0229-477e-a436-edfa25a21d07/newyork.jpg",
      "style_size": 0,
      "content_size": 0
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/jarrentwu1031/ccpl@sha256:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46 \
  -i 'mode="art"' \
  -i 'style="https://replicate.delivery/mgxm/fa2951de-0e0c-4c62-affd-a50334126bba/6.jpg"' \
  -i 'content="https://replicate.delivery/mgxm/1d0eb9b8-0229-477e-a436-edfa25a21d07/newyork.jpg"' \
  -i 'style_size=0' \
  -i 'content_size=0'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/jarrentwu1031/ccpl@sha256:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mode": "art",
      "style": "https://replicate.delivery/mgxm/fa2951de-0e0c-4c62-affd-a50334126bba/6.jpg",
      "content": "https://replicate.delivery/mgxm/1d0eb9b8-0229-477e-a436-edfa25a21d07/newyork.jpg",
      "style_size": 0,
      "content_size": 0
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

2.3 seconds

jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46

Prediction

Model

ID

gacgil6bsjhsplp4q4hnqwuvsq

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.7s

Created

almost 3 years ago

Input

mode: art
style
content
style_size: 0
content_size: 0

{
  "mode": "art",
  "style": "https://replicate.delivery/mgxm/73a38fc6-0713-4bb9-a2a4-e464bdd35c64/15.jpg",
  "content": "https://replicate.delivery/mgxm/96745438-6ed1-4231-b3c3-46b85937b062/1.jpg",
  "style_size": 0,
  "content_size": 0
}

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 jarrentwu1031/ccpl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
  {
    input: {
      mode: "art",
      style: "https://replicate.delivery/mgxm/73a38fc6-0713-4bb9-a2a4-e464bdd35c64/15.jpg",
      content: "https://replicate.delivery/mgxm/96745438-6ed1-4231-b3c3-46b85937b062/1.jpg",
      style_size: 0,
      content_size: 0
    }
  }
);

// 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 jarrentwu1031/ccpl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
    input={
        "mode": "art",
        "style": "https://replicate.delivery/mgxm/73a38fc6-0713-4bb9-a2a4-e464bdd35c64/15.jpg",
        "content": "https://replicate.delivery/mgxm/96745438-6ed1-4231-b3c3-46b85937b062/1.jpg",
        "style_size": 0,
        "content_size": 0
    }
)
print(output)

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

Run jarrentwu1031/ccpl 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": "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
    "input": {
      "mode": "art",
      "style": "https://replicate.delivery/mgxm/73a38fc6-0713-4bb9-a2a4-e464bdd35c64/15.jpg",
      "content": "https://replicate.delivery/mgxm/96745438-6ed1-4231-b3c3-46b85937b062/1.jpg",
      "style_size": 0,
      "content_size": 0
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/jarrentwu1031/ccpl@sha256:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46 \
  -i 'mode="art"' \
  -i 'style="https://replicate.delivery/mgxm/73a38fc6-0713-4bb9-a2a4-e464bdd35c64/15.jpg"' \
  -i 'content="https://replicate.delivery/mgxm/96745438-6ed1-4231-b3c3-46b85937b062/1.jpg"' \
  -i 'style_size=0' \
  -i 'content_size=0'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/jarrentwu1031/ccpl@sha256:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mode": "art",
      "style": "https://replicate.delivery/mgxm/73a38fc6-0713-4bb9-a2a4-e464bdd35c64/15.jpg",
      "content": "https://replicate.delivery/mgxm/96745438-6ed1-4231-b3c3-46b85937b062/1.jpg",
      "style_size": 0,
      "content_size": 0
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

2.5 seconds

jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46

Prediction

Model

ID

vo5xetcqzvdodlexvyn4xk43ti

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.9s

Created

almost 3 years ago

Input

mode: photo-realistic
style
content
style_size: 256
content_size: 1024

{
  "mode": "photo-realistic",
  "style": "https://replicate.delivery/mgxm/7d979987-1db5-4bbc-9f16-0a550f0511ec/in2.png",
  "content": "https://replicate.delivery/mgxm/b343aa02-9662-42b4-bd4e-75b3de545404/1.png",
  "style_size": 256,
  "content_size": 1024
}

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 jarrentwu1031/ccpl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
  {
    input: {
      mode: "photo-realistic",
      style: "https://replicate.delivery/mgxm/7d979987-1db5-4bbc-9f16-0a550f0511ec/in2.png",
      content: "https://replicate.delivery/mgxm/b343aa02-9662-42b4-bd4e-75b3de545404/1.png",
      style_size: 256,
      content_size: 1024
    }
  }
);

// 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 jarrentwu1031/ccpl using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
    input={
        "mode": "photo-realistic",
        "style": "https://replicate.delivery/mgxm/7d979987-1db5-4bbc-9f16-0a550f0511ec/in2.png",
        "content": "https://replicate.delivery/mgxm/b343aa02-9662-42b4-bd4e-75b3de545404/1.png",
        "style_size": 256,
        "content_size": 1024
    }
)
print(output)

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

Run jarrentwu1031/ccpl 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": "jarrentwu1031/ccpl:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46",
    "input": {
      "mode": "photo-realistic",
      "style": "https://replicate.delivery/mgxm/7d979987-1db5-4bbc-9f16-0a550f0511ec/in2.png",
      "content": "https://replicate.delivery/mgxm/b343aa02-9662-42b4-bd4e-75b3de545404/1.png",
      "style_size": 256,
      "content_size": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/jarrentwu1031/ccpl@sha256:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46 \
  -i 'mode="photo-realistic"' \
  -i 'style="https://replicate.delivery/mgxm/7d979987-1db5-4bbc-9f16-0a550f0511ec/in2.png"' \
  -i 'content="https://replicate.delivery/mgxm/b343aa02-9662-42b4-bd4e-75b3de545404/1.png"' \
  -i 'style_size=256' \
  -i 'content_size=1024'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/jarrentwu1031/ccpl@sha256:ee98cd06c1febf78a7d5a7888fd1cf134f22a14e795efe3b6e14e8f2dac3df46
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "mode": "photo-realistic",
      "style": "https://replicate.delivery/mgxm/7d979987-1db5-4bbc-9f16-0a550f0511ec/in2.png",
      "content": "https://replicate.delivery/mgxm/b343aa02-9662-42b4-bd4e-75b3de545404/1.png",
      "style_size": 256,
      "content_size": 1024
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

1.8 seconds