Prediction

ID

wbi32xighjdchdfz3rjrlv6f34

Status

Succeeded

Source

Web

Hardware

–

Total duration

2m 48s

Created

about 3 years ago by @chenxwh

Input

image
model: Image Deblurring

{
  "image": "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
  "model": "Image Deblurring"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
      model: "Image Deblurring"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    input={
        "image": "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
        "model": "Image Deblurring"
    }
)
print(output)

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

Run google-research/maxim 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": "cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    "input": {
      "image": "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
      "model": "Image Deblurring"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

66.5 seconds

google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56

Prediction

Model

ID

raz473l7ejdlpnidr4zj4zwn2q

Status

Succeeded

Source

Web

Hardware

–

Total duration

47.6s

Created

about 3 years ago by @chenxwh

Input

image
model: Image Denoising

{
  "image": "https://replicate.delivery/mgxm/74cdd668-f209-4186-a225-780eb3e35bd9/0011_23.png",
  "model": "Image Denoising"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/74cdd668-f209-4186-a225-780eb3e35bd9/0011_23.png",
      model: "Image Denoising"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    input={
        "image": "https://replicate.delivery/mgxm/74cdd668-f209-4186-a225-780eb3e35bd9/0011_23.png",
        "model": "Image Denoising"
    }
)
print(output)

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

Run google-research/maxim 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": "cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    "input": {
      "image": "https://replicate.delivery/mgxm/74cdd668-f209-4186-a225-780eb3e35bd9/0011_23.png",
      "model": "Image Denoising"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

47.4 seconds

google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56

Prediction

Model

ID

oiu7eykbuvgfpcnvhuyjowezme

Status

Succeeded

Source

Web

Hardware

–

Total duration

40.8s

Created

about 3 years ago

Input

image
model: Image Deraining (Rain streak)

{
  "image": "https://replicate.delivery/mgxm/e7c16774-1846-4ebb-a97b-dd69c47d797d/15.png",
  "model": "Image Deraining (Rain streak)"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/e7c16774-1846-4ebb-a97b-dd69c47d797d/15.png",
      model: "Image Deraining (Rain streak)"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    input={
        "image": "https://replicate.delivery/mgxm/e7c16774-1846-4ebb-a97b-dd69c47d797d/15.png",
        "model": "Image Deraining (Rain streak)"
    }
)
print(output)

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

Run google-research/maxim 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": "cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    "input": {
      "image": "https://replicate.delivery/mgxm/e7c16774-1846-4ebb-a97b-dd69c47d797d/15.png",
      "model": "Image Deraining (Rain streak)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

40.5 seconds

google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56

Prediction

Model

ID

5zjqs32d4zdvjfzmd2u5blglfe

Status

Succeeded

Source

Web

Hardware

–

Total duration

43.8s

Created

about 3 years ago by @chenxwh

Input

image
model: Image Deraining (Rain drop)

{
  "image": "https://replicate.delivery/mgxm/c61149bc-6a02-455b-8010-1b9314a67e9a/0.jpg",
  "model": "Image Deraining (Rain drop)"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/c61149bc-6a02-455b-8010-1b9314a67e9a/0.jpg",
      model: "Image Deraining (Rain drop)"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    input={
        "image": "https://replicate.delivery/mgxm/c61149bc-6a02-455b-8010-1b9314a67e9a/0.jpg",
        "model": "Image Deraining (Rain drop)"
    }
)
print(output)

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

Run google-research/maxim 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": "cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    "input": {
      "image": "https://replicate.delivery/mgxm/c61149bc-6a02-455b-8010-1b9314a67e9a/0.jpg",
      "model": "Image Deraining (Rain drop)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

43.6 seconds

google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56

Prediction

Model

ID

5sxxyydlxfcnzd6au2uxomnpoq

Status

Succeeded

Source

Web

Hardware

–

Total duration

39.2s

Created

about 3 years ago

Input

image
model: Image Dehazing (Indoor)

{
  "image": "https://replicate.delivery/mgxm/685f225a-e7a9-462a-a00f-664efdebec14/1440_10.png",
  "model": "Image Dehazing (Indoor)"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/685f225a-e7a9-462a-a00f-664efdebec14/1440_10.png",
      model: "Image Dehazing (Indoor)"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    input={
        "image": "https://replicate.delivery/mgxm/685f225a-e7a9-462a-a00f-664efdebec14/1440_10.png",
        "model": "Image Dehazing (Indoor)"
    }
)
print(output)

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

Run google-research/maxim 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": "cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    "input": {
      "image": "https://replicate.delivery/mgxm/685f225a-e7a9-462a-a00f-664efdebec14/1440_10.png",
      "model": "Image Dehazing (Indoor)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

39.0 seconds

google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56

Prediction

Model

ID

22lmdch6nbgg7adaf3zsznfdeq

Status

Succeeded

Source

Web

Hardware

–

Total duration

45.1s

Created

about 3 years ago by @chenxwh

Input

image
model: Image Dehazing (Outdoor)

{
  "image": "https://replicate.delivery/mgxm/10f77514-91df-4316-a36b-dc19011fe8e7/0048_0.9_0.2.png",
  "model": "Image Dehazing (Outdoor)"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/10f77514-91df-4316-a36b-dc19011fe8e7/0048_0.9_0.2.png",
      model: "Image Dehazing (Outdoor)"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    input={
        "image": "https://replicate.delivery/mgxm/10f77514-91df-4316-a36b-dc19011fe8e7/0048_0.9_0.2.png",
        "model": "Image Dehazing (Outdoor)"
    }
)
print(output)

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

Run google-research/maxim 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": "cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    "input": {
      "image": "https://replicate.delivery/mgxm/10f77514-91df-4316-a36b-dc19011fe8e7/0048_0.9_0.2.png",
      "model": "Image Dehazing (Outdoor)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

44.9 seconds

google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56

Prediction

Model

ID

x5gsnkzwg5amnmh65fdqq5i7fq

Status

Succeeded

Source

Web

Hardware

–

Total duration

45.1s

Created

about 3 years ago

Input

image
model: Image Enhancement (Low-light)

{
  "image": "https://replicate.delivery/mgxm/a457200d-d9af-49e3-909d-f7cb93f8cdc9/1.png",
  "model": "Image Enhancement (Low-light)"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/a457200d-d9af-49e3-909d-f7cb93f8cdc9/1.png",
      model: "Image Enhancement (Low-light)"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    input={
        "image": "https://replicate.delivery/mgxm/a457200d-d9af-49e3-909d-f7cb93f8cdc9/1.png",
        "model": "Image Enhancement (Low-light)"
    }
)
print(output)

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

Run google-research/maxim 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": "cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    "input": {
      "image": "https://replicate.delivery/mgxm/a457200d-d9af-49e3-909d-f7cb93f8cdc9/1.png",
      "model": "Image Enhancement (Low-light)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

44.7 seconds

google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56

Prediction

Model

ID

2n4jrbr7dbd3xfbzlpxqtsimba

Status

Succeeded

Source

Web

Hardware

–

Total duration

16.4s

Created

about 3 years ago

Input

image
model: Image Enhancement (Retouching)

{
  "image": "https://replicate.delivery/mgxm/4016d0ae-011b-4a36-87ab-1f4db8625c59/748.png",
  "model": "Image Enhancement (Retouching)"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/4016d0ae-011b-4a36-87ab-1f4db8625c59/748.png",
      model: "Image Enhancement (Retouching)"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "google-research/maxim:cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    input={
        "image": "https://replicate.delivery/mgxm/4016d0ae-011b-4a36-87ab-1f4db8625c59/748.png",
        "model": "Image Enhancement (Retouching)"
    }
)
print(output)

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

Run google-research/maxim 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": "cd3ebeefb3933d8ed4f75cc2457da8723bfcc69db8b9eb8651e855ca1c562e56",
    "input": {
      "image": "https://replicate.delivery/mgxm/4016d0ae-011b-4a36-87ab-1f4db8625c59/748.png",
      "model": "Image Enhancement (Retouching)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

16.2 seconds

google-research/maxim:a91063d0a4a6e6545980ce677b4a5bfbee686229307baed4e9b91f66dd0d749d

Prediction

Model

google-research/maxim:a91063d0

ID

de3zlvchsvdntdd4y2pk7eeu5y

Status

Succeeded

Source

Web

Hardware

–

Total duration

21.9s

Created

about 3 years ago by @chenxwh

Input

image
model: Image Deblurring (GoPro)

{
  "image": "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
  "model": "Image Deblurring (GoPro)"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "google-research/maxim:a91063d0a4a6e6545980ce677b4a5bfbee686229307baed4e9b91f66dd0d749d",
  {
    input: {
      image: "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
      model: "Image Deblurring (GoPro)"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "google-research/maxim:a91063d0a4a6e6545980ce677b4a5bfbee686229307baed4e9b91f66dd0d749d",
    input={
        "image": "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
        "model": "Image Deblurring (GoPro)"
    }
)
print(output)

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

Run google-research/maxim 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": "a91063d0a4a6e6545980ce677b4a5bfbee686229307baed4e9b91f66dd0d749d",
    "input": {
      "image": "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
      "model": "Image Deblurring (GoPro)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

21.8 seconds

google-research/maxim:494ca4d578293b4b93945115601b6a38190519da18467556ca223d219c3af9f9

Prediction

Model

google-research/maxim:494ca4d5

ID

ienpred3jrcyzgsnhw5l42yi2u

Status

Succeeded

Source

Web

Hardware

–

Total duration

22.5s

Created

about 3 years ago

Input

image
model: Image Deblurring (RealBlur_R)

{
  "image": "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
  "model": "Image Deblurring (RealBlur_R)"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "google-research/maxim:494ca4d578293b4b93945115601b6a38190519da18467556ca223d219c3af9f9",
  {
    input: {
      image: "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
      model: "Image Deblurring (RealBlur_R)"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output);

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

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "google-research/maxim:494ca4d578293b4b93945115601b6a38190519da18467556ca223d219c3af9f9",
    input={
        "image": "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
        "model": "Image Deblurring (RealBlur_R)"
    }
)
print(output)

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

Run google-research/maxim 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": "494ca4d578293b4b93945115601b6a38190519da18467556ca223d219c3af9f9",
    "input": {
      "image": "https://replicate.delivery/mgxm/6707a57f-4957-4047-b020-2160aed1d27a/1fromGOPR0950.png",
      "model": "Image Deblurring (RealBlur_R)"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

22.3 seconds