Prediction

jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa

Model

jiupinjia/stylized-neural-painting-oil:ae2c8e42

ID

sj5du6hyr5clpgoc6seigrpm6u

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago by @chenxwh

Input

image
max_strokes: "500"
output_type: gif
canvas_color: black

{
  "image": "https://replicate.delivery/mgxm/d80ce030-bc40-4bd1-9ca8-6e3036494193/sunflowers.jpg",
  "max_strokes": "500",
  "output_type": "gif",
  "canvas_color": "black"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run jiupinjia/stylized-neural-painting-oil using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa",
  {
    input: {
      image: "https://replicate.delivery/mgxm/d80ce030-bc40-4bd1-9ca8-6e3036494193/sunflowers.jpg",
      max_strokes: "500",
      output_type: "gif",
      canvas_color: "black"
    }
  }
);

console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run jiupinjia/stylized-neural-painting-oil using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa",
    input={
        "image": "https://replicate.delivery/mgxm/d80ce030-bc40-4bd1-9ca8-6e3036494193/sunflowers.jpg",
        "max_strokes": "500",
        "output_type": "gif",
        "canvas_color": "black"
    }
)

# The jiupinjia/stylized-neural-painting-oil 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/jiupinjia/stylized-neural-painting-oil/api#output-schema
    print(item)

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

Run jiupinjia/stylized-neural-painting-oil 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": "jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa",
    "input": {
      "image": "https://replicate.delivery/mgxm/d80ce030-bc40-4bd1-9ca8-6e3036494193/sunflowers.jpg",
      "max_strokes": "500",
      "output_type": "gif",
      "canvas_color": "black"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it Iterate in playground Share Report

Prediction

jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa

Model

jiupinjia/stylized-neural-painting-oil:ae2c8e42

ID

lmzro2k6o5by3mdmawduy5vydi

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago by @chenxwh

Input

image
max_strokes: "500"
output_type: gif
canvas_color: black

{
  "image": "https://replicate.delivery/mgxm/d040cb50-0aad-4af7-9bbe-5bea64c2e47b/apple.jpg",
  "max_strokes": "500",
  "output_type": "gif",
  "canvas_color": "black"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run jiupinjia/stylized-neural-painting-oil using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa",
  {
    input: {
      image: "https://replicate.delivery/mgxm/d040cb50-0aad-4af7-9bbe-5bea64c2e47b/apple.jpg",
      max_strokes: "500",
      output_type: "gif",
      canvas_color: "black"
    }
  }
);

console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run jiupinjia/stylized-neural-painting-oil using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa",
    input={
        "image": "https://replicate.delivery/mgxm/d040cb50-0aad-4af7-9bbe-5bea64c2e47b/apple.jpg",
        "max_strokes": "500",
        "output_type": "gif",
        "canvas_color": "black"
    }
)

# The jiupinjia/stylized-neural-painting-oil 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/jiupinjia/stylized-neural-painting-oil/api#output-schema
    print(item)

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

Run jiupinjia/stylized-neural-painting-oil 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": "jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa",
    "input": {
      "image": "https://replicate.delivery/mgxm/d040cb50-0aad-4af7-9bbe-5bea64c2e47b/apple.jpg",
      "max_strokes": "500",
      "output_type": "gif",
      "canvas_color": "black"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it Iterate in playground Share Report

Prediction

jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa

Model

jiupinjia/stylized-neural-painting-oil:ae2c8e42

ID

6uk2xrdftfe7fkxtnkfwsgsiuy

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago by @chenxwh

Input

image
max_strokes: "500"
output_type: png
canvas_color: black

{
  "image": "https://replicate.delivery/mgxm/8cf4f1d4-a079-44e6-886b-1fc7caa7cb37/joker.jpg",
  "max_strokes": "500",
  "output_type": "png",
  "canvas_color": "black"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run jiupinjia/stylized-neural-painting-oil using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa",
  {
    input: {
      image: "https://replicate.delivery/mgxm/8cf4f1d4-a079-44e6-886b-1fc7caa7cb37/joker.jpg",
      max_strokes: "500",
      output_type: "png",
      canvas_color: "black"
    }
  }
);

console.log(output);

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

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run jiupinjia/stylized-neural-painting-oil using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa",
    input={
        "image": "https://replicate.delivery/mgxm/8cf4f1d4-a079-44e6-886b-1fc7caa7cb37/joker.jpg",
        "max_strokes": "500",
        "output_type": "png",
        "canvas_color": "black"
    }
)

# The jiupinjia/stylized-neural-painting-oil 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/jiupinjia/stylized-neural-painting-oil/api#output-schema
    print(item)

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

Run jiupinjia/stylized-neural-painting-oil 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": "jiupinjia/stylized-neural-painting-oil:ae2c8e426d49eb9697ac6811285ef912f0077afa18da386a23995eb762579baa",
    "input": {
      "image": "https://replicate.delivery/mgxm/8cf4f1d4-a079-44e6-886b-1fc7caa7cb37/joker.jpg",
      "max_strokes": "500",
      "output_type": "png",
      "canvas_color": "black"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it Iterate in playground Share Report

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (sj5du6hyr5clpgoc6seigrpm6u)

Logs (lmzro2k6o5by3mdmawduy5vydi)

Logs (6uk2xrdftfe7fkxtnkfwsgsiuy)