Prediction

lhoyer/hrda:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64

Model

lhoyer/hrda:5a260c83

ID

ona3uh7fivej7f5ojgbmfdzdyi

Status

Succeeded

Source

Web

Hardware

–

Total duration

2m 19s

Created

almost 3 years ago

Input

opacity: 0.75
input_image

{
  "opacity": 0.75,
  "input_image": "https://replicate.delivery/mgxm/29eefb43-84e0-4f82-b75d-9f07cf90ba8b/16th-Street-Mall-CO-1.jpg"
}

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

const output = await replicate.run(
  "lhoyer/hrda:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64",
  {
    input: {
      opacity: 0.75,
      input_image: "https://replicate.delivery/mgxm/29eefb43-84e0-4f82-b75d-9f07cf90ba8b/16th-Street-Mall-CO-1.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.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lhoyer/hrda:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64",
    input={
        "opacity": 0.75,
        "input_image": "https://replicate.delivery/mgxm/29eefb43-84e0-4f82-b75d-9f07cf90ba8b/16th-Street-Mall-CO-1.jpg"
    }
)
print(output)

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

Run lhoyer/hrda 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": "5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64",
    "input": {
      "opacity": 0.75,
      "input_image": "https://replicate.delivery/mgxm/29eefb43-84e0-4f82-b75d-9f07cf90ba8b/16th-Street-Mall-CO-1.jpg"
    }
  }' \
  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/lhoyer/hrda@sha256:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64 \
  -i 'opacity=0.75' \
  -i 'input_image="https://replicate.delivery/mgxm/29eefb43-84e0-4f82-b75d-9f07cf90ba8b/16th-Street-Mall-CO-1.jpg"'

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/lhoyer/hrda@sha256:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "opacity": 0.75,
      "input_image": "https://replicate.delivery/mgxm/29eefb43-84e0-4f82-b75d-9f07cf90ba8b/16th-Street-Mall-CO-1.jpg"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Generated in

14.4 seconds

ShareReport

Prediction

lhoyer/hrda:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64

Model

lhoyer/hrda:5a260c83

ID

oc2rzbzxorgtdjtkcnt6uwmiba

Status

Succeeded

Source

Web

Hardware

–

Total duration

5.7s

Created

almost 3 years ago

Input

opacity: 0.75
input_image

{
  "opacity": 0.75,
  "input_image": "https://replicate.delivery/mgxm/b68974ef-c17b-4d02-a769-d2fd5b2a2e79/google1.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 lhoyer/hrda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lhoyer/hrda:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64",
  {
    input: {
      opacity: 0.75,
      input_image: "https://replicate.delivery/mgxm/b68974ef-c17b-4d02-a769-d2fd5b2a2e79/google1.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.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lhoyer/hrda:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64",
    input={
        "opacity": 0.75,
        "input_image": "https://replicate.delivery/mgxm/b68974ef-c17b-4d02-a769-d2fd5b2a2e79/google1.png"
    }
)
print(output)

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

Run lhoyer/hrda 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": "5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64",
    "input": {
      "opacity": 0.75,
      "input_image": "https://replicate.delivery/mgxm/b68974ef-c17b-4d02-a769-d2fd5b2a2e79/google1.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/lhoyer/hrda@sha256:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64 \
  -i 'opacity=0.75' \
  -i 'input_image="https://replicate.delivery/mgxm/b68974ef-c17b-4d02-a769-d2fd5b2a2e79/google1.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 --gpus=all r8.im/lhoyer/hrda@sha256:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "opacity": 0.75,
      "input_image": "https://replicate.delivery/mgxm/b68974ef-c17b-4d02-a769-d2fd5b2a2e79/google1.png"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Generated in

5.5 seconds

ShareReport

Prediction

lhoyer/hrda:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64

Model

lhoyer/hrda:5a260c83

ID

fgw5jfqoorhhpoiq4m73zl3uva

Status

Succeeded

Source

Web

Hardware

–

Total duration

4.2s

Created

almost 3 years ago

Input

opacity: 0.75
input_image

{
  "opacity": 0.75,
  "input_image": "https://replicate.delivery/mgxm/1dd57a9b-00c1-4d71-a69f-80c47ca6679c/frankfurt1.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 lhoyer/hrda using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lhoyer/hrda:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64",
  {
    input: {
      opacity: 0.75,
      input_image: "https://replicate.delivery/mgxm/1dd57a9b-00c1-4d71-a69f-80c47ca6679c/frankfurt1.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.

Install Replicate’s Python client library:

pip install replicate

Import the client:

import replicate

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

output = replicate.run(
    "lhoyer/hrda:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64",
    input={
        "opacity": 0.75,
        "input_image": "https://replicate.delivery/mgxm/1dd57a9b-00c1-4d71-a69f-80c47ca6679c/frankfurt1.png"
    }
)
print(output)

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

Run lhoyer/hrda 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": "5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64",
    "input": {
      "opacity": 0.75,
      "input_image": "https://replicate.delivery/mgxm/1dd57a9b-00c1-4d71-a69f-80c47ca6679c/frankfurt1.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/lhoyer/hrda@sha256:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64 \
  -i 'opacity=0.75' \
  -i 'input_image="https://replicate.delivery/mgxm/1dd57a9b-00c1-4d71-a69f-80c47ca6679c/frankfurt1.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 --gpus=all r8.im/lhoyer/hrda@sha256:5a260c83723c8e79a87a9cba90f5c00e84193bb1c251e327f9beb467e4fa5b64
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "opacity": 0.75,
      "input_image": "https://replicate.delivery/mgxm/1dd57a9b-00c1-4d71-a69f-80c47ca6679c/frankfurt1.png"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Generated in

4.1 seconds

ShareReport

lhoyer / hrda

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (ona3uh7fivej7f5ojgbmfdzdyi)

Logs (oc2rzbzxorgtdjtkcnt6uwmiba)

Logs (fgw5jfqoorhhpoiq4m73zl3uva)