Prediction

pvitoria/chromagan:0a1bb757

Model

pvitoria/chromagan:0a1bb757

ID

ttpqduqmf5grbe7fbcektcmh6y

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago by @bfirsh

Input

image

{
  "image": "https://replicate.delivery/mgxm/47b27563-97f1-466c-9fb1-0a6759867d02/ocean.png"
}

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

const output = await replicate.run(
  "pvitoria/chromagan:0a1bb7572513d3382fa20e22e03789cdb3cb5690d7acd72f3f387f50704087be",
  {
    input: {
      image: "https://replicate.delivery/mgxm/47b27563-97f1-466c-9fb1-0a6759867d02/ocean.png"
    }
  }
);

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

output = replicate.run(
    "pvitoria/chromagan:0a1bb7572513d3382fa20e22e03789cdb3cb5690d7acd72f3f387f50704087be",
    input={
        "image": "https://replicate.delivery/mgxm/47b27563-97f1-466c-9fb1-0a6759867d02/ocean.png"
    }
)

# The pvitoria/chromagan 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/pvitoria/chromagan/api#output-schema
    print(item)

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

Run pvitoria/chromagan 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": "pvitoria/chromagan:0a1bb7572513d3382fa20e22e03789cdb3cb5690d7acd72f3f387f50704087be",
    "input": {
      "image": "https://replicate.delivery/mgxm/47b27563-97f1-466c-9fb1-0a6759867d02/ocean.png"
    }
  }' \
  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

pvitoria/chromagan:0a1bb757

Model

pvitoria/chromagan:0a1bb757

ID

p2i5k3os2zgefpx7z7vv6jw76q

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/56ccbb73-df2b-4a9c-ab14-1c2c69915793/fisherman.png"
}

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

const output = await replicate.run(
  "pvitoria/chromagan:0a1bb7572513d3382fa20e22e03789cdb3cb5690d7acd72f3f387f50704087be",
  {
    input: {
      image: "https://replicate.delivery/mgxm/56ccbb73-df2b-4a9c-ab14-1c2c69915793/fisherman.png"
    }
  }
);

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

output = replicate.run(
    "pvitoria/chromagan:0a1bb7572513d3382fa20e22e03789cdb3cb5690d7acd72f3f387f50704087be",
    input={
        "image": "https://replicate.delivery/mgxm/56ccbb73-df2b-4a9c-ab14-1c2c69915793/fisherman.png"
    }
)

# The pvitoria/chromagan 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/pvitoria/chromagan/api#output-schema
    print(item)

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

Run pvitoria/chromagan 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": "pvitoria/chromagan:0a1bb7572513d3382fa20e22e03789cdb3cb5690d7acd72f3f387f50704087be",
    "input": {
      "image": "https://replicate.delivery/mgxm/56ccbb73-df2b-4a9c-ab14-1c2c69915793/fisherman.png"
    }
  }' \
  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

pvitoria/chromagan:0a1bb757

Model

pvitoria/chromagan:0a1bb757

ID

b34y4ybexndtlbvgxxtqiuo6by

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/4a3447b7-0082-4581-bf75-6f95f3c53ffa/bruschetta.png"
}

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

const output = await replicate.run(
  "pvitoria/chromagan:0a1bb7572513d3382fa20e22e03789cdb3cb5690d7acd72f3f387f50704087be",
  {
    input: {
      image: "https://replicate.delivery/mgxm/4a3447b7-0082-4581-bf75-6f95f3c53ffa/bruschetta.png"
    }
  }
);

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

output = replicate.run(
    "pvitoria/chromagan:0a1bb7572513d3382fa20e22e03789cdb3cb5690d7acd72f3f387f50704087be",
    input={
        "image": "https://replicate.delivery/mgxm/4a3447b7-0082-4581-bf75-6f95f3c53ffa/bruschetta.png"
    }
)

# The pvitoria/chromagan 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/pvitoria/chromagan/api#output-schema
    print(item)

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

Run pvitoria/chromagan 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": "pvitoria/chromagan:0a1bb7572513d3382fa20e22e03789cdb3cb5690d7acd72f3f387f50704087be",
    "input": {
      "image": "https://replicate.delivery/mgxm/4a3447b7-0082-4581-bf75-6f95f3c53ffa/bruschetta.png"
    }
  }' \
  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 (ttpqduqmf5grbe7fbcektcmh6y)

Logs (p2i5k3os2zgefpx7z7vv6jw76q)

Logs (b34y4ybexndtlbvgxxtqiuo6by)