Prediction

ID

3brtklnlxrh5dai63qnopzlwde

Status

Succeeded

Source

Web

Hardware

–

Total duration

1m 32s

Created

over 2 years ago by @sczhou

Input

image
upscale: 2
face_upsample
background_enhance
codeformer_fidelity: "0.2"

{
  "image": "https://replicate.delivery/mgxm/9ff2825b-ad72-4aca-bf0a-a2cdf61f8068/1.png",
  "upscale": 2,
  "face_upsample": true,
  "background_enhance": true,
  "codeformer_fidelity": "0.2"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/9ff2825b-ad72-4aca-bf0a-a2cdf61f8068/1.png",
      upscale: 2,
      face_upsample: true,
      background_enhance: true,
      codeformer_fidelity: "0.2"
    }
  }
);

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

output = replicate.run(
    "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    input={
        "image": "https://replicate.delivery/mgxm/9ff2825b-ad72-4aca-bf0a-a2cdf61f8068/1.png",
        "upscale": 2,
        "face_upsample": True,
        "background_enhance": True,
        "codeformer_fidelity": "0.2"
    }
)
print(output)

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

Run sczhou/codeformer 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": "7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    "input": {
      "image": "https://replicate.delivery/mgxm/9ff2825b-ad72-4aca-bf0a-a2cdf61f8068/1.png",
      "upscale": 2,
      "face_upsample": true,
      "background_enhance": true,
      "codeformer_fidelity": "0.2"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Generated in

5.6 seconds

sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56

Prediction

Model

ID

jlvo5tu4szhqdm4ixnzxtmk5oa

Status

Succeeded

Source

Web

Hardware

–

Total duration

1m 32s

Created

over 2 years ago by @sczhou

Input

image
upscale: 2
face_upsample
background_enhance
codeformer_fidelity: "0.8"

{
  "image": "https://replicate.delivery/mgxm/a1daba8e-af14-4b00-86a4-69cec9619b53/04.jpg",
  "upscale": 2,
  "face_upsample": true,
  "background_enhance": true,
  "codeformer_fidelity": "0.8"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/a1daba8e-af14-4b00-86a4-69cec9619b53/04.jpg",
      upscale: 2,
      face_upsample: true,
      background_enhance: true,
      codeformer_fidelity: "0.8"
    }
  }
);

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

output = replicate.run(
    "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    input={
        "image": "https://replicate.delivery/mgxm/a1daba8e-af14-4b00-86a4-69cec9619b53/04.jpg",
        "upscale": 2,
        "face_upsample": True,
        "background_enhance": True,
        "codeformer_fidelity": "0.8"
    }
)
print(output)

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

Run sczhou/codeformer 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": "7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    "input": {
      "image": "https://replicate.delivery/mgxm/a1daba8e-af14-4b00-86a4-69cec9619b53/04.jpg",
      "upscale": 2,
      "face_upsample": true,
      "background_enhance": true,
      "codeformer_fidelity": "0.8"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Generated in

4.5 seconds

sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56

Prediction

Model

ID

o2bjwswd6bfmfpcemfhl26j5we

Status

Succeeded

Source

Web

Hardware

–

Total duration

4.1s

Created

over 2 years ago by @sczhou

Input

image
upscale: 2
face_upsample
background_enhance
codeformer_fidelity: "0.1"

{
  "image": "https://replicate.delivery/mgxm/7534e8f1-ee01-4d66-ae40-36343e5eb44a/003.png",
  "upscale": 2,
  "face_upsample": true,
  "background_enhance": true,
  "codeformer_fidelity": "0.1"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/7534e8f1-ee01-4d66-ae40-36343e5eb44a/003.png",
      upscale: 2,
      face_upsample: true,
      background_enhance: true,
      codeformer_fidelity: "0.1"
    }
  }
);

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

output = replicate.run(
    "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    input={
        "image": "https://replicate.delivery/mgxm/7534e8f1-ee01-4d66-ae40-36343e5eb44a/003.png",
        "upscale": 2,
        "face_upsample": True,
        "background_enhance": True,
        "codeformer_fidelity": "0.1"
    }
)
print(output)

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

Run sczhou/codeformer 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": "7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    "input": {
      "image": "https://replicate.delivery/mgxm/7534e8f1-ee01-4d66-ae40-36343e5eb44a/003.png",
      "upscale": 2,
      "face_upsample": true,
      "background_enhance": true,
      "codeformer_fidelity": "0.1"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Generated in

2.9 seconds

sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56

Prediction

Model

ID

4fm5bdzc2bffdkdddnel32wbfq

Status

Succeeded

Source

Web

Hardware

–

Total duration

3.7s

Created

over 2 years ago by @sczhou

Input

image
upscale: 2
face_upsample
background_enhance
codeformer_fidelity: "0.8"

{
  "image": "https://replicate.delivery/mgxm/542d64f9-1712-4de7-85f7-3863009a7c3d/03.jpg",
  "upscale": 2,
  "face_upsample": true,
  "background_enhance": true,
  "codeformer_fidelity": "0.8"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/542d64f9-1712-4de7-85f7-3863009a7c3d/03.jpg",
      upscale: 2,
      face_upsample: true,
      background_enhance: true,
      codeformer_fidelity: "0.8"
    }
  }
);

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

output = replicate.run(
    "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    input={
        "image": "https://replicate.delivery/mgxm/542d64f9-1712-4de7-85f7-3863009a7c3d/03.jpg",
        "upscale": 2,
        "face_upsample": True,
        "background_enhance": True,
        "codeformer_fidelity": "0.8"
    }
)
print(output)

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

Run sczhou/codeformer 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": "7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    "input": {
      "image": "https://replicate.delivery/mgxm/542d64f9-1712-4de7-85f7-3863009a7c3d/03.jpg",
      "upscale": 2,
      "face_upsample": true,
      "background_enhance": true,
      "codeformer_fidelity": "0.8"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Generated in

2.2 seconds

sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56

Prediction

Model

ID

tlm3wkg3aveyvjzmv6es65dy5m

Status

Succeeded

Source

Web

Hardware

–

Total duration

55.1s

Created

over 2 years ago by @sczhou

Input

image
upscale: 2
face_upsample
background_enhance
codeformer_fidelity: "0.1"

{
  "image": "https://replicate.delivery/mgxm/a11098b0-a18a-4c02-a19a-9a7045d68426/010.jpg",
  "upscale": 2,
  "face_upsample": true,
  "background_enhance": true,
  "codeformer_fidelity": "0.1"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/a11098b0-a18a-4c02-a19a-9a7045d68426/010.jpg",
      upscale: 2,
      face_upsample: true,
      background_enhance: true,
      codeformer_fidelity: "0.1"
    }
  }
);

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

output = replicate.run(
    "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    input={
        "image": "https://replicate.delivery/mgxm/a11098b0-a18a-4c02-a19a-9a7045d68426/010.jpg",
        "upscale": 2,
        "face_upsample": True,
        "background_enhance": True,
        "codeformer_fidelity": "0.1"
    }
)
print(output)

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

Run sczhou/codeformer 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": "7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    "input": {
      "image": "https://replicate.delivery/mgxm/a11098b0-a18a-4c02-a19a-9a7045d68426/010.jpg",
      "upscale": 2,
      "face_upsample": true,
      "background_enhance": true,
      "codeformer_fidelity": "0.1"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Generated in

21.3 seconds

sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56

Prediction

Model

ID

bahjhnqssfhttn645cdifzawge

Status

Succeeded

Source

Web

Hardware

–

Total duration

21.8s

Created

over 2 years ago by @sczhou

Input

image
upscale: 2
face_upsample
background_enhance
codeformer_fidelity: "0.1"

{
  "image": "https://replicate.delivery/mgxm/7cf19c2c-e0cf-4712-9af8-cf5bdbb8d0ee/012.jpg",
  "upscale": 2,
  "face_upsample": true,
  "background_enhance": true,
  "codeformer_fidelity": "0.1"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

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

const output = await replicate.run(
  "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
  {
    input: {
      image: "https://replicate.delivery/mgxm/7cf19c2c-e0cf-4712-9af8-cf5bdbb8d0ee/012.jpg",
      upscale: 2,
      face_upsample: true,
      background_enhance: true,
      codeformer_fidelity: "0.1"
    }
  }
);

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

output = replicate.run(
    "sczhou/codeformer:7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    input={
        "image": "https://replicate.delivery/mgxm/7cf19c2c-e0cf-4712-9af8-cf5bdbb8d0ee/012.jpg",
        "upscale": 2,
        "face_upsample": True,
        "background_enhance": True,
        "codeformer_fidelity": "0.1"
    }
)
print(output)

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

Run sczhou/codeformer 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": "7de2ea26c616d5bf2245ad0d5e24f0ff9a6204578a5c876db53142edd9d2cd56",
    "input": {
      "image": "https://replicate.delivery/mgxm/7cf19c2c-e0cf-4712-9af8-cf5bdbb8d0ee/012.jpg",
      "upscale": 2,
      "face_upsample": true,
      "background_enhance": true,
      "codeformer_fidelity": "0.1"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Loading...

Generated in

7.5 seconds