Prediction

idealo/image-super-resolution:ba792003

Model

idealo/image-super-resolution:ba792003

ID

4cjqdrpfyndmzdxyink75i6gpe

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago

Input

type: super-resolution
input

{
  "type": "super-resolution",
  "input": "https://replicate.delivery/mgxm/d6bdf948-823d-493a-aebe-3a7aaadd597b/0829x4-crop.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 idealo/image-super-resolution using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "idealo/image-super-resolution:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf",
  {
    input: {
      type: "super-resolution",
      input: "https://replicate.delivery/mgxm/d6bdf948-823d-493a-aebe-3a7aaadd597b/0829x4-crop.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 idealo/image-super-resolution using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "idealo/image-super-resolution:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf",
    input={
        "type": "super-resolution",
        "input": "https://replicate.delivery/mgxm/d6bdf948-823d-493a-aebe-3a7aaadd597b/0829x4-crop.png"
    }
)

# The idealo/image-super-resolution 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/idealo/image-super-resolution/api#output-schema
    print(item)

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

Run idealo/image-super-resolution 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": "idealo/image-super-resolution:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf",
    "input": {
      "type": "super-resolution",
      "input": "https://replicate.delivery/mgxm/d6bdf948-823d-493a-aebe-3a7aaadd597b/0829x4-crop.png"
    }
  }' \
  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/idealo/image-super-resolution@sha256:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf \
  -i 'type="super-resolution"' \
  -i 'input="https://replicate.delivery/mgxm/d6bdf948-823d-493a-aebe-3a7aaadd597b/0829x4-crop.png"'

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 r8.im/idealo/image-super-resolution@sha256:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "type": "super-resolution",
      "input": "https://replicate.delivery/mgxm/d6bdf948-823d-493a-aebe-3a7aaadd597b/0829x4-crop.png"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Tweak it ShareReport

Prediction

idealo/image-super-resolution:ba792003

Model

idealo/image-super-resolution:ba792003

ID

n6g6hqfaa5dlnkgqdxxx7x2bni

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago

Input

type: super-resolution
input

{
  "type": "super-resolution",
  "input": "https://replicate.delivery/mgxm/f86f89ba-4fc0-44ee-8ff0-8228caa9d119/0851x4-crop.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 idealo/image-super-resolution using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "idealo/image-super-resolution:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf",
  {
    input: {
      type: "super-resolution",
      input: "https://replicate.delivery/mgxm/f86f89ba-4fc0-44ee-8ff0-8228caa9d119/0851x4-crop.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 idealo/image-super-resolution using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "idealo/image-super-resolution:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf",
    input={
        "type": "super-resolution",
        "input": "https://replicate.delivery/mgxm/f86f89ba-4fc0-44ee-8ff0-8228caa9d119/0851x4-crop.png"
    }
)

# The idealo/image-super-resolution 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/idealo/image-super-resolution/api#output-schema
    print(item)

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

Run idealo/image-super-resolution 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": "idealo/image-super-resolution:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf",
    "input": {
      "type": "super-resolution",
      "input": "https://replicate.delivery/mgxm/f86f89ba-4fc0-44ee-8ff0-8228caa9d119/0851x4-crop.png"
    }
  }' \
  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/idealo/image-super-resolution@sha256:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf \
  -i 'type="super-resolution"' \
  -i 'input="https://replicate.delivery/mgxm/f86f89ba-4fc0-44ee-8ff0-8228caa9d119/0851x4-crop.png"'

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 r8.im/idealo/image-super-resolution@sha256:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "type": "super-resolution",
      "input": "https://replicate.delivery/mgxm/f86f89ba-4fc0-44ee-8ff0-8228caa9d119/0851x4-crop.png"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Tweak it ShareReport

Prediction

idealo/image-super-resolution:ba792003

Model

idealo/image-super-resolution:ba792003

ID

ylifa76ifjdtbguq3bp65iunha

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago by @ericguizzo

Input

type: super-resolution
input

{
  "type": "super-resolution",
  "input": "https://replicate.delivery/mgxm/575c059d-d1ca-45b2-a456-250f469ca53f/0869x4-crop.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 idealo/image-super-resolution using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "idealo/image-super-resolution:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf",
  {
    input: {
      type: "super-resolution",
      input: "https://replicate.delivery/mgxm/575c059d-d1ca-45b2-a456-250f469ca53f/0869x4-crop.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 idealo/image-super-resolution using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "idealo/image-super-resolution:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf",
    input={
        "type": "super-resolution",
        "input": "https://replicate.delivery/mgxm/575c059d-d1ca-45b2-a456-250f469ca53f/0869x4-crop.png"
    }
)

# The idealo/image-super-resolution 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/idealo/image-super-resolution/api#output-schema
    print(item)

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

Run idealo/image-super-resolution 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": "idealo/image-super-resolution:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf",
    "input": {
      "type": "super-resolution",
      "input": "https://replicate.delivery/mgxm/575c059d-d1ca-45b2-a456-250f469ca53f/0869x4-crop.png"
    }
  }' \
  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/idealo/image-super-resolution@sha256:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf \
  -i 'type="super-resolution"' \
  -i 'input="https://replicate.delivery/mgxm/575c059d-d1ca-45b2-a456-250f469ca53f/0869x4-crop.png"'

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 r8.im/idealo/image-super-resolution@sha256:ba792003502eb0de1337fa4a3632e6e9ef2ac195a610cd972e932a6cf9a87dbf
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "type": "super-resolution",
      "input": "https://replicate.delivery/mgxm/575c059d-d1ca-45b2-a456-250f469ca53f/0869x4-crop.png"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Tweak it ShareReport

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (4cjqdrpfyndmzdxyink75i6gpe)

Logs (n6g6hqfaa5dlnkgqdxxx7x2bni)

Logs (ylifa76ifjdtbguq3bp65iunha)