Prediction

pvitoria/chromagan:94a9ed3b

Model

pvitoria/chromagan:0a1bb757

ID

ttpqduqmf5grbe7fbcektcmh6y

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6",
  {
    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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6",
    input={
        "image": "https://replicate.delivery/mgxm/47b27563-97f1-466c-9fb1-0a6759867d02/ocean.png"
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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": "94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6",
    "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.

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/pvitoria/chromagan@sha256:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6 \
  -i 'image="https://replicate.delivery/mgxm/47b27563-97f1-466c-9fb1-0a6759867d02/ocean.png"'

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 r8.im/pvitoria/chromagan@sha256:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/mgxm/47b27563-97f1-466c-9fb1-0a6759867d02/ocean.png"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Tweak it ShareReport

Prediction

pvitoria/chromagan:94a9ed3b

Model

pvitoria/chromagan:0a1bb757

ID

p2i5k3os2zgefpx7z7vv6jw76q

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6",
  {
    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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6",
    input={
        "image": "https://replicate.delivery/mgxm/56ccbb73-df2b-4a9c-ab14-1c2c69915793/fisherman.png"
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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": "94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6",
    "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.

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/pvitoria/chromagan@sha256:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6 \
  -i 'image="https://replicate.delivery/mgxm/56ccbb73-df2b-4a9c-ab14-1c2c69915793/fisherman.png"'

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 r8.im/pvitoria/chromagan@sha256:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/mgxm/56ccbb73-df2b-4a9c-ab14-1c2c69915793/fisherman.png"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Tweak it ShareReport

Prediction

pvitoria/chromagan:94a9ed3b

Model

pvitoria/chromagan:0a1bb757

ID

b34y4ybexndtlbvgxxtqiuo6by

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6",
  {
    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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6",
    input={
        "image": "https://replicate.delivery/mgxm/4a3447b7-0082-4581-bf75-6f95f3c53ffa/bruschetta.png"
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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": "94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6",
    "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.

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/pvitoria/chromagan@sha256:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6 \
  -i 'image="https://replicate.delivery/mgxm/4a3447b7-0082-4581-bf75-6f95f3c53ffa/bruschetta.png"'

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 r8.im/pvitoria/chromagan@sha256:94a9ed3bf283fcd3950a04a5cc2fba3588baec1a0843921ef8028934406827e6
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/mgxm/4a3447b7-0082-4581-bf75-6f95f3c53ffa/bruschetta.png"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Tweak it ShareReport

pvitoria / chromagan

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (ttpqduqmf5grbe7fbcektcmh6y)

Logs (p2i5k3os2zgefpx7z7vv6jw76q)

Logs (b34y4ybexndtlbvgxxtqiuo6by)