Prediction

xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230

Model

xinntao/esrgan:3a69fc05

ID

d3gnfs5yezefvnx63zlndwo5bm

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago by @andreasjansson

Input

image

{
  "image": "https://replicate.delivery/mgxm/72cbdfd0-ffbb-406c-8b65-a8b16b84de40/Screen_Shot_2021-08-25_at_18.51.54.png"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230",
  {
    input: {
      image: "https://replicate.delivery/mgxm/72cbdfd0-ffbb-406c-8b65-a8b16b84de40/Screen_Shot_2021-08-25_at_18.51.54.png"
    }
  }
);

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

Import the client:

import replicate

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

output = replicate.run(
    "xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230",
    input={
        "image": "https://replicate.delivery/mgxm/72cbdfd0-ffbb-406c-8b65-a8b16b84de40/Screen_Shot_2021-08-25_at_18.51.54.png"
    }
)

# The xinntao/esrgan 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/xinntao/esrgan/api#output-schema
    print(item)

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

Run xinntao/esrgan 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": "xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230",
    "input": {
      "image": "https://replicate.delivery/mgxm/72cbdfd0-ffbb-406c-8b65-a8b16b84de40/Screen_Shot_2021-08-25_at_18.51.54.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Tweak it ShareReport

Prediction

xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230

Model

xinntao/esrgan:3a69fc05

ID

chuwomb6nreyrmdbalqsponq7q

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago by @andreasjansson

Input

image

{
  "image": "https://replicate.delivery/mgxm/46772921-3083-415a-9063-3bafa68476cc/Screen_Shot_2021-08-25_at_18.52.43.png"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230",
  {
    input: {
      image: "https://replicate.delivery/mgxm/46772921-3083-415a-9063-3bafa68476cc/Screen_Shot_2021-08-25_at_18.52.43.png"
    }
  }
);

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

Import the client:

import replicate

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

output = replicate.run(
    "xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230",
    input={
        "image": "https://replicate.delivery/mgxm/46772921-3083-415a-9063-3bafa68476cc/Screen_Shot_2021-08-25_at_18.52.43.png"
    }
)

# The xinntao/esrgan 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/xinntao/esrgan/api#output-schema
    print(item)

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

Run xinntao/esrgan 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": "xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230",
    "input": {
      "image": "https://replicate.delivery/mgxm/46772921-3083-415a-9063-3bafa68476cc/Screen_Shot_2021-08-25_at_18.52.43.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Tweak it ShareReport

Prediction

xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230

Model

xinntao/esrgan:3a69fc05

ID

bh5i2zh7f5cwra55sy3fbk6ln4

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

over 3 years ago by @andreasjansson

Input

image

{
  "image": "https://replicate.delivery/mgxm/fb497614-f00c-4f9c-a22b-81da726eea4f/Screen_Shot_2021-08-25_at_22.28.56.png"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230",
  {
    input: {
      image: "https://replicate.delivery/mgxm/fb497614-f00c-4f9c-a22b-81da726eea4f/Screen_Shot_2021-08-25_at_22.28.56.png"
    }
  }
);

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

Import the client:

import replicate

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

output = replicate.run(
    "xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230",
    input={
        "image": "https://replicate.delivery/mgxm/fb497614-f00c-4f9c-a22b-81da726eea4f/Screen_Shot_2021-08-25_at_22.28.56.png"
    }
)

# The xinntao/esrgan 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/xinntao/esrgan/api#output-schema
    print(item)

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

Run xinntao/esrgan 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": "xinntao/esrgan:3a69fc05a07f5a1e870976e05da1f2d7e2541ffb72dc359442e21739e66b2230",
    "input": {
      "image": "https://replicate.delivery/mgxm/fb497614-f00c-4f9c-a22b-81da726eea4f/Screen_Shot_2021-08-25_at_22.28.56.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Tweak it ShareReport

xinntao / esrgan

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (d3gnfs5yezefvnx63zlndwo5bm)

Logs (chuwomb6nreyrmdbalqsponq7q)

Logs (bh5i2zh7f5cwra55sy3fbk6ln4)