Prediction

Model

huage001/adaattn:a8b70792

dcocygpa2nbztji2d2v44h4boe

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago by chenxwh

Webhook

–

Input

content: https://replicate.delivery/mgxm/39030380-7bcc-43c8-967d-d3a9f3b8c8d6/bair.jpg
style: https://replicate.delivery/mgxm/0152398e-c57d-42b0-ac9f-7383d5910294/feathers.jpg

{
  "content": "https://replicate.delivery/mgxm/39030380-7bcc-43c8-967d-d3a9f3b8c8d6/bair.jpg",
  "style": "https://replicate.delivery/mgxm/0152398e-c57d-42b0-ac9f-7383d5910294/feathers.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_HyX**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";

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

Run huage001/adaattn using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "huage001/adaattn:a8b707926f5748f9ac47dbc7c1b6a5afaf3c64014f99d03ff6307ca5c7524ab7",
  {
    input: {
      content: "https://replicate.delivery/mgxm/39030380-7bcc-43c8-967d-d3a9f3b8c8d6/bair.jpg",
      style: "https://replicate.delivery/mgxm/0152398e-c57d-42b0-ac9f-7383d5910294/feathers.jpg"
    }
  }
);

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=r8_HyX**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run huage001/adaattn using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "huage001/adaattn:a8b707926f5748f9ac47dbc7c1b6a5afaf3c64014f99d03ff6307ca5c7524ab7",
    input={
        "content": "https://replicate.delivery/mgxm/39030380-7bcc-43c8-967d-d3a9f3b8c8d6/bair.jpg",
        "style": "https://replicate.delivery/mgxm/0152398e-c57d-42b0-ac9f-7383d5910294/feathers.jpg"
    }
)

# The huage001/adaattn 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/huage001/adaattn/api#output-schema
    print(item)

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=r8_HyX**********************************

This is your API token. Keep it to yourself.

Run huage001/adaattn 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": "huage001/adaattn:a8b707926f5748f9ac47dbc7c1b6a5afaf3c64014f99d03ff6307ca5c7524ab7",
    "input": {
      "content": "https://replicate.delivery/mgxm/39030380-7bcc-43c8-967d-d3a9f3b8c8d6/bair.jpg",
      "style": "https://replicate.delivery/mgxm/0152398e-c57d-42b0-ac9f-7383d5910294/feathers.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "outputType": "object",
  "properties": {
    "file": {
      "outputType": "uri",
      "mimeType": "image/png",
      "inferred": false,
      "outputValue": "https://replicate.delivery/mgxm/088e9652-042e-4a67-85c9-98d668ffcbaa/out.png",
      "typeMismatch": false
    }
  },
  "inferred": false,
  "outputValue": {
    "file": "https://replicate.delivery/mgxm/088e9652-042e-4a67-85c9-98d668ffcbaa/out.png"
  },
  "typeMismatch": false
}

Tweak it Report