avaid96/test-publish-flow – Run with an API on Replicate

avaid96 / test-publish-flow

A model I copied to blur an image

Cold

Public
252 runs
CPU
GitHub

Iterate in the playground

Run with an API

Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=avaid96/test-publish-flow

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

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

Run avaid96/test-publish-flow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "avaid96/test-publish-flow:d6a7b2479f7956e86c88710bbee99b067ba3bc2e8a1e49ed81a805a43eb2c6ff",
  {
    input: {
      blur: 4,
      image: "https://replicate.delivery/pbxt/IOKCguCgtF6jT4rduvnb4xGBEIxrrLSWnyfOXIcboYx52e7X/lena.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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run avaid96/test-publish-flow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "avaid96/test-publish-flow:d6a7b2479f7956e86c88710bbee99b067ba3bc2e8a1e49ed81a805a43eb2c6ff",
    input={
        "blur": 4,
        "image": "https://replicate.delivery/pbxt/IOKCguCgtF6jT4rduvnb4xGBEIxrrLSWnyfOXIcboYx52e7X/lena.png"
    }
)
print(output)

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run avaid96/test-publish-flow 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": "avaid96/test-publish-flow:d6a7b2479f7956e86c88710bbee99b067ba3bc2e8a1e49ed81a805a43eb2c6ff",
    "input": {
      "blur": 4,
      "image": "https://replicate.delivery/pbxt/IOKCguCgtF6jT4rduvnb4xGBEIxrrLSWnyfOXIcboYx52e7X/lena.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

0.7 seconds

Tweak itReport

This output was created using a different version of the model, avaid96/test-publish-flow:d1968ccb.

Examples

View more examples

Run time and cost

This model costs approximately $0.00010 to run on Replicate, or 10000 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on CPU hardware. Predictions typically complete within 1 seconds.

Readme

Blur This model applies box blur to an input image.

Usage First, make sure you’ve got the latest version of Cog installed.

Build the image:

cog build Now you can run predictions on the model:

cog predict -i image=@examples/lena.png -i blur=4

cog predict -i image=@examples/lena.png -i blur=6