zsxkib / aura-sr-v2

{
  "image": "https://i.redd.it/low-res-loaf-v0-rnpzji4tnow91.jpg?width=256&format=pjpg&auto=webp&s=59192705b66485dcbed3d0727fbc950c355197a9",
  "output_format": "webp",
  "max_batch_size": 8,
  "output_quality": 80
}

Install Replicate’s Node.js client library:

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 zsxkib/aura-sr-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zsxkib/aura-sr-v2:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c",
  {
    input: {
      image: "https://i.redd.it/low-res-loaf-v0-rnpzji4tnow91.jpg?width=256&format=pjpg&auto=webp&s=59192705b66485dcbed3d0727fbc950c355197a9",
      output_format: "webp",
      max_batch_size: 8,
      output_quality: 80
    }
  }
);

// 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.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run zsxkib/aura-sr-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zsxkib/aura-sr-v2:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c",
    input={
        "image": "https://i.redd.it/low-res-loaf-v0-rnpzji4tnow91.jpg?width=256&format=pjpg&auto=webp&s=59192705b66485dcbed3d0727fbc950c355197a9",
        "output_format": "webp",
        "max_batch_size": 8,
        "output_quality": 80
    }
)

# 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 zsxkib/aura-sr-v2 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": "zsxkib/aura-sr-v2:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c",
    "input": {
      "image": "https://i.redd.it/low-res-loaf-v0-rnpzji4tnow91.jpg?width=256&format=pjpg&auto=webp&s=59192705b66485dcbed3d0727fbc950c355197a9",
      "output_format": "webp",
      "max_batch_size": 8,
      "output_quality": 80
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/zsxkib/aura-sr-v2@sha256:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c \
  -i 'image="https://i.redd.it/low-res-loaf-v0-rnpzji4tnow91.jpg?width=256&format=pjpg&auto=webp&s=59192705b66485dcbed3d0727fbc950c355197a9"' \
  -i 'output_format="webp"' \
  -i 'max_batch_size=8' \
  -i 'output_quality=80'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/zsxkib/aura-sr-v2@sha256:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://i.redd.it/low-res-loaf-v0-rnpzji4tnow91.jpg?width=256&format=pjpg&auto=webp&s=59192705b66485dcbed3d0727fbc950c355197a9",
      "output_format": "webp",
      "max_batch_size": 8,
      "output_quality": 80
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

We were unable to load these images. Please make sure the URLs are valid.

{
  "input": "https://i.redd.it/low-res-loaf-v0-rnpzji4tnow91.jpg?width=256&format=pjpg&auto=webp&s=59192705b66485dcbed3d0727fbc950c355197a9",
  "outut": "https://replicate.delivery/pbxt/bzfaLLYEj0UCG6OD2SedOnsSTsUAjfJsz587LA2WEWXN8FcmA/output.webp"
}

Generated in

1.0 second

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Prediction

zsxkib/aura-sr-v2:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c

Model

zsxkib/aura-sr-v2:5c137257

f951m1rahnrgj0ch17zaasn4n0

Status

Succeeded

Source

Web

Hardware

A40

Total duration

0.6s

Created

about 1 year ago by @zsxkib

Input

image
output_format: webp
max_batch_size: 8
output_quality: 80

{
  "image": "https://fastly.4sqi.net/img/general/128x128/518599985_KXFqFh337i1lrVzVrgUJQGxw8PffI0lEKL9HHvJfqFA.jpg",
  "output_format": "webp",
  "max_batch_size": 8,
  "output_quality": 80
}

Install Replicate’s Node.js client library:

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 zsxkib/aura-sr-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zsxkib/aura-sr-v2:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c",
  {
    input: {
      image: "https://fastly.4sqi.net/img/general/128x128/518599985_KXFqFh337i1lrVzVrgUJQGxw8PffI0lEKL9HHvJfqFA.jpg",
      output_format: "webp",
      max_batch_size: 8,
      output_quality: 80
    }
  }
);

// 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.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

Run zsxkib/aura-sr-v2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zsxkib/aura-sr-v2:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c",
    input={
        "image": "https://fastly.4sqi.net/img/general/128x128/518599985_KXFqFh337i1lrVzVrgUJQGxw8PffI0lEKL9HHvJfqFA.jpg",
        "output_format": "webp",
        "max_batch_size": 8,
        "output_quality": 80
    }
)

# 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 zsxkib/aura-sr-v2 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": "zsxkib/aura-sr-v2:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c",
    "input": {
      "image": "https://fastly.4sqi.net/img/general/128x128/518599985_KXFqFh337i1lrVzVrgUJQGxw8PffI0lEKL9HHvJfqFA.jpg",
      "output_format": "webp",
      "max_batch_size": 8,
      "output_quality": 80
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/zsxkib/aura-sr-v2@sha256:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c \
  -i 'image="https://fastly.4sqi.net/img/general/128x128/518599985_KXFqFh337i1lrVzVrgUJQGxw8PffI0lEKL9HHvJfqFA.jpg"' \
  -i 'output_format="webp"' \
  -i 'max_batch_size=8' \
  -i 'output_quality=80'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/zsxkib/aura-sr-v2@sha256:5c137257cce8d5ce16e8a334b70e9e025106b5580affed0bc7d48940b594e74c
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://fastly.4sqi.net/img/general/128x128/518599985_KXFqFh337i1lrVzVrgUJQGxw8PffI0lEKL9HHvJfqFA.jpg",
      "output_format": "webp",
      "max_batch_size": 8,
      "output_quality": 80
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

We were unable to load these images. Please make sure the URLs are valid.

{
  "input": "https://fastly.4sqi.net/img/general/128x128/518599985_KXFqFh337i1lrVzVrgUJQGxw8PffI0lEKL9HHvJfqFA.jpg",
  "outut": "https://replicate.delivery/pbxt/96xe6QsDIRS9GyOdnYmcq63Qk9t1mGxSelRxBfAgXgKzDGcmA/output.webp"
}

Generated in

0.6 seconds

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