megvii-research/nafnet:e116b6df – Run with an API on Replicate

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megvii-research /nafnet:e116b6df

Playground API

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=megvii-research/nafnet

or set up a project from scratch

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 megvii-research/nafnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "megvii-research/nafnet:e116b6df8437d9c562f9de2a86cea6fd76a96705e502f091457926bbe989436c",
  {
    input: {
      image: "https://replicate.delivery/mgxm/05676b4e-1b00-49b8-9649-d884064063b8/Middlebury_lr_x4_sword2_l.png",
      image_r: "https://replicate.delivery/mgxm/08399e91-6d81-4dc6-9f9f-5b420ed7d74b/Middlebury_lr_x4_sword2_r.png",
      task_type: "Stereo Image Super-Resolution"
    }
  }
);
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 megvii-research/nafnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "megvii-research/nafnet:e116b6df8437d9c562f9de2a86cea6fd76a96705e502f091457926bbe989436c",
    input={
        "image": "https://replicate.delivery/mgxm/05676b4e-1b00-49b8-9649-d884064063b8/Middlebury_lr_x4_sword2_l.png",
        "image_r": "https://replicate.delivery/mgxm/08399e91-6d81-4dc6-9f9f-5b420ed7d74b/Middlebury_lr_x4_sword2_r.png",
        "task_type": "Stereo Image Super-Resolution"
    }
)
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 megvii-research/nafnet 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": "e116b6df8437d9c562f9de2a86cea6fd76a96705e502f091457926bbe989436c",
    "input": {
      "image": "https://replicate.delivery/mgxm/05676b4e-1b00-49b8-9649-d884064063b8/Middlebury_lr_x4_sword2_l.png",
      "image_r": "https://replicate.delivery/mgxm/08399e91-6d81-4dc6-9f9f-5b420ed7d74b/Middlebury_lr_x4_sword2_r.png",
      "task_type": "Stereo Image Super-Resolution"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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