Prediction

megvii-research/nafnet:018241a6

Model

megvii-research/nafnet:e116b6df

ID

apjmzqde6zdsranuhaksfopzle

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

almost 3 years ago by @chenxwh

Input

image
task_type: Image Debluring (GoPro)

{
  "image": "https://replicate.delivery/mgxm/4b711712-3c2c-465e-a1a3-57c1de37a47a/blurry.png",
  "task_type": "Image Debluring (GoPro)"
}

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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
  {
    input: {
      image: "https://replicate.delivery/mgxm/4b711712-3c2c-465e-a1a3-57c1de37a47a/blurry.png",
      task_type: "Image Debluring (GoPro)"
    }
  }
);
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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    input={
        "image": "https://replicate.delivery/mgxm/4b711712-3c2c-465e-a1a3-57c1de37a47a/blurry.png",
        "task_type": "Image Debluring (GoPro)"
    }
)
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": "018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    "input": {
      "image": "https://replicate.delivery/mgxm/4b711712-3c2c-465e-a1a3-57c1de37a47a/blurry.png",
      "task_type": "Image Debluring (GoPro)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Tweak it Share Report

Prediction

megvii-research/nafnet:018241a6

Model

megvii-research/nafnet:e116b6df

ID

fhrj4l6lezeoxjkznsueqaonue

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.3s

Created

almost 3 years ago by @chenxwh

Input

image
task_type: Image Denoising

{
  "image": "https://replicate.delivery/mgxm/3406eb74-0d9d-43b9-807d-177e7f1ac47a/noisy.png",
  "task_type": "Image Denoising"
}

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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
  {
    input: {
      image: "https://replicate.delivery/mgxm/3406eb74-0d9d-43b9-807d-177e7f1ac47a/noisy.png",
      task_type: "Image Denoising"
    }
  }
);
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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    input={
        "image": "https://replicate.delivery/mgxm/3406eb74-0d9d-43b9-807d-177e7f1ac47a/noisy.png",
        "task_type": "Image Denoising"
    }
)
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": "018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    "input": {
      "image": "https://replicate.delivery/mgxm/3406eb74-0d9d-43b9-807d-177e7f1ac47a/noisy.png",
      "task_type": "Image Denoising"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.1 seconds

Tweak it Share Report

Prediction

megvii-research/nafnet:018241a6

Model

megvii-research/nafnet:e116b6df

ID

ml2f4ups5nesnf2pc37umca4ei

Status

Succeeded

Source

Web

Hardware

–

Total duration

5.8s

Created

almost 3 years ago

Input

image
image_r
task_type: Stereo Image Super-Resolution

{
  "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"
}

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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
  {
    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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    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": "018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    "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

Generated in

5.6 seconds

Tweak it Share Report

Prediction

megvii-research/nafnet:018241a6

Model

megvii-research/nafnet:e116b6df

ID

a6ir4qw53jcpnkeiq2bcci6eby

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.1s

Created

almost 3 years ago

Input

image
task_type: Image Debluring (GoPro)

{
  "image": "https://replicate.delivery/mgxm/1ca1e7fe-06a0-4d0c-8b8b-496674fa140b/blurry-demo-1.png",
  "task_type": "Image Debluring (GoPro)"
}

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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
  {
    input: {
      image: "https://replicate.delivery/mgxm/1ca1e7fe-06a0-4d0c-8b8b-496674fa140b/blurry-demo-1.png",
      task_type: "Image Debluring (GoPro)"
    }
  }
);
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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    input={
        "image": "https://replicate.delivery/mgxm/1ca1e7fe-06a0-4d0c-8b8b-496674fa140b/blurry-demo-1.png",
        "task_type": "Image Debluring (GoPro)"
    }
)
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": "018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    "input": {
      "image": "https://replicate.delivery/mgxm/1ca1e7fe-06a0-4d0c-8b8b-496674fa140b/blurry-demo-1.png",
      "task_type": "Image Debluring (GoPro)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.0 seconds

Tweak it Share Report

Prediction

megvii-research/nafnet:018241a6

Model

megvii-research/nafnet:e116b6df

ID

t4qtxogfkrevxgrbc5dlyostni

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.2s

Created

almost 3 years ago

Input

image
task_type: Image Denoising

{
  "image": "https://replicate.delivery/mgxm/0c883ffd-6b6f-46b0-b1aa-0962f7206389/noisy-demo-1.png",
  "task_type": "Image Denoising"
}

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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
  {
    input: {
      image: "https://replicate.delivery/mgxm/0c883ffd-6b6f-46b0-b1aa-0962f7206389/noisy-demo-1.png",
      task_type: "Image Denoising"
    }
  }
);
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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    input={
        "image": "https://replicate.delivery/mgxm/0c883ffd-6b6f-46b0-b1aa-0962f7206389/noisy-demo-1.png",
        "task_type": "Image Denoising"
    }
)
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": "018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    "input": {
      "image": "https://replicate.delivery/mgxm/0c883ffd-6b6f-46b0-b1aa-0962f7206389/noisy-demo-1.png",
      "task_type": "Image Denoising"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.1 seconds

Tweak it Share Report

Prediction

megvii-research/nafnet:018241a6

Model

megvii-research/nafnet:e116b6df

ID

fmyre5gi4zcv3n65e47zg7o5ra

Status

Succeeded

Source

Web

Hardware

–

Total duration

14.0s

Created

almost 3 years ago

Input

image
image_r
task_type: Stereo Image Super-Resolution

{
  "image": "https://replicate.delivery/mgxm/f2e1fb0a-bc6f-4884-be93-ee9ec0c3babb/Flickr1024_lr_x4_0035_l.png",
  "image_r": "https://replicate.delivery/mgxm/b3a5f8d8-b99f-4c9a-ad4d-33762d35c127/Flickr1024_lr_x4_0035_r.png",
  "task_type": "Stereo Image Super-Resolution"
}

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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
  {
    input: {
      image: "https://replicate.delivery/mgxm/f2e1fb0a-bc6f-4884-be93-ee9ec0c3babb/Flickr1024_lr_x4_0035_l.png",
      image_r: "https://replicate.delivery/mgxm/b3a5f8d8-b99f-4c9a-ad4d-33762d35c127/Flickr1024_lr_x4_0035_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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    input={
        "image": "https://replicate.delivery/mgxm/f2e1fb0a-bc6f-4884-be93-ee9ec0c3babb/Flickr1024_lr_x4_0035_l.png",
        "image_r": "https://replicate.delivery/mgxm/b3a5f8d8-b99f-4c9a-ad4d-33762d35c127/Flickr1024_lr_x4_0035_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": "018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    "input": {
      "image": "https://replicate.delivery/mgxm/f2e1fb0a-bc6f-4884-be93-ee9ec0c3babb/Flickr1024_lr_x4_0035_l.png",
      "image_r": "https://replicate.delivery/mgxm/b3a5f8d8-b99f-4c9a-ad4d-33762d35c127/Flickr1024_lr_x4_0035_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

Generated in

13.8 seconds

Tweak it Share Report

Prediction

megvii-research/nafnet:018241a6

Model

megvii-research/nafnet:018241a6

ID

ywr4vpd65jetnfzxsk6fjod2va

Status

Succeeded

Source

Web

Hardware

–

Total duration

5m

Created

almost 3 years ago by @chenxwh

Input

image
task_type: Image Debluring (REDS)

{
  "image": "https://replicate.delivery/mgxm/e7a66188-34c6-483b-813f-be5c96a3952b/blurry-reds-0.jpg",
  "task_type": "Image Debluring (REDS)"
}

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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
  {
    input: {
      image: "https://replicate.delivery/mgxm/e7a66188-34c6-483b-813f-be5c96a3952b/blurry-reds-0.jpg",
      task_type: "Image Debluring (REDS)"
    }
  }
);
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:018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    input={
        "image": "https://replicate.delivery/mgxm/e7a66188-34c6-483b-813f-be5c96a3952b/blurry-reds-0.jpg",
        "task_type": "Image Debluring (REDS)"
    }
)
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": "018241a6c880319404eaa2714b764313e27e11f950a7ff0a7b5b37b27b74dcf7",
    "input": {
      "image": "https://replicate.delivery/mgxm/e7a66188-34c6-483b-813f-be5c96a3952b/blurry-reds-0.jpg",
      "task_type": "Image Debluring (REDS)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.9 seconds

Tweak it Share Report

megvii-research / nafnet

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