Prediction

ID

3zwtrwpolvb35a3hyuaht6a2ce

Status

Succeeded

Source

Web

Hardware

T4

Total duration

1m 39s

Created

over 2 years ago by @chenxwh

Input

task: real_sr
image

{
  "task": "real_sr",
  "image": "https://replicate.delivery/mgxm/a83e1035-2f84-492b-a945-9ca249965c05/butterfly.jpeg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

Run mv-lab/swin2sr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
  {
    input: {
      task: "real_sr",
      image: "https://replicate.delivery/mgxm/a83e1035-2f84-492b-a945-9ca249965c05/butterfly.jpeg"
    }
  }
);

// 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 mv-lab/swin2sr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
    input={
        "task": "real_sr",
        "image": "https://replicate.delivery/mgxm/a83e1035-2f84-492b-a945-9ca249965c05/butterfly.jpeg"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Run mv-lab/swin2sr 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": "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
    "input": {
      "task": "real_sr",
      "image": "https://replicate.delivery/mgxm/a83e1035-2f84-492b-a945-9ca249965c05/butterfly.jpeg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Generated in

22.5 seconds

mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f

Prediction

Model

ID

si2gijhdejdsnjeicrop3q5jaa

Status

Succeeded

Source

Web

Hardware

T4

Total duration

6.9s

Created

over 2 years ago by @chenxwh

Input

task: compressed_sr
image

{
  "task": "compressed_sr",
  "image": "https://replicate.delivery/mgxm/4804fb26-f1b8-4a1b-af18-0be732b45af1/0855.jpeg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

Run mv-lab/swin2sr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
  {
    input: {
      task: "compressed_sr",
      image: "https://replicate.delivery/mgxm/4804fb26-f1b8-4a1b-af18-0be732b45af1/0855.jpeg"
    }
  }
);

// 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 mv-lab/swin2sr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
    input={
        "task": "compressed_sr",
        "image": "https://replicate.delivery/mgxm/4804fb26-f1b8-4a1b-af18-0be732b45af1/0855.jpeg"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Run mv-lab/swin2sr 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": "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
    "input": {
      "task": "compressed_sr",
      "image": "https://replicate.delivery/mgxm/4804fb26-f1b8-4a1b-af18-0be732b45af1/0855.jpeg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Generated in

6.9 seconds

mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f

Prediction

Model

ID

agb3t34akrc6fjr7oj5y2jla74

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.5s

Created

over 2 years ago by @mv-lab

Input

task: real_sr
image

{
  "task": "real_sr",
  "image": "https://replicate.delivery/pbxt/IMaOTdBMcd6knNIdJ8zRCoaXme6ca7NtcWHop1dkLjWDuAsB/frog.png"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

Run mv-lab/swin2sr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
  {
    input: {
      task: "real_sr",
      image: "https://replicate.delivery/pbxt/IMaOTdBMcd6knNIdJ8zRCoaXme6ca7NtcWHop1dkLjWDuAsB/frog.png"
    }
  }
);

// 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 mv-lab/swin2sr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
    input={
        "task": "real_sr",
        "image": "https://replicate.delivery/pbxt/IMaOTdBMcd6knNIdJ8zRCoaXme6ca7NtcWHop1dkLjWDuAsB/frog.png"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Run mv-lab/swin2sr 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": "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
    "input": {
      "task": "real_sr",
      "image": "https://replicate.delivery/pbxt/IMaOTdBMcd6knNIdJ8zRCoaXme6ca7NtcWHop1dkLjWDuAsB/frog.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Generated in

2.4 seconds

mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f

Prediction

Model

ID

wfumbp2uwbdyvg4k6giwvvpq3m

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.8s

Created

over 2 years ago by @mv-lab

Input

task: compressed_sr
image

{
  "task": "compressed_sr",
  "image": "https://replicate.delivery/pbxt/ISJkutj5rvrXE1fKJVXNjMv7wGRqOTIX1WnGxZguS4C3lpJZ/chain-eye.jpg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

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

Run mv-lab/swin2sr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
  {
    input: {
      task: "compressed_sr",
      image: "https://replicate.delivery/pbxt/ISJkutj5rvrXE1fKJVXNjMv7wGRqOTIX1WnGxZguS4C3lpJZ/chain-eye.jpg"
    }
  }
);

// 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 mv-lab/swin2sr using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
    input={
        "task": "compressed_sr",
        "image": "https://replicate.delivery/pbxt/ISJkutj5rvrXE1fKJVXNjMv7wGRqOTIX1WnGxZguS4C3lpJZ/chain-eye.jpg"
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Run mv-lab/swin2sr 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": "mv-lab/swin2sr:a01b0512004918ca55d02e554914a9eca63909fa83a29ff0f115c78a7045574f",
    "input": {
      "task": "compressed_sr",
      "image": "https://replicate.delivery/pbxt/ISJkutj5rvrXE1fKJVXNjMv7wGRqOTIX1WnGxZguS4C3lpJZ/chain-eye.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Generated in

2.7 seconds