stphtan94117/car_removal – Run with an API on Replicate

Input

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

npx create-replicate --model=stphtan94117/car_removal

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 stphtan94117/car_removal using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "stphtan94117/car_removal:b363c3ba077b433fca3012b742dbaba35820f18e2863bf9a2343d542544895a4",
  {
    input: {
      file: "https://replicate.delivery/pbxt/Jlou26nIVZiFUkDzB7QjGAasT0s0oLEmCnfebuMKWPhytjBZ/MAX_1608.JPG"
    }
  }
);
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

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 stphtan94117/car_removal using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "stphtan94117/car_removal:b363c3ba077b433fca3012b742dbaba35820f18e2863bf9a2343d542544895a4",
    input={
        "file": "https://replicate.delivery/pbxt/Jlou26nIVZiFUkDzB7QjGAasT0s0oLEmCnfebuMKWPhytjBZ/MAX_1608.JPG"
    }
)
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 stphtan94117/car_removal 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": "b363c3ba077b433fca3012b742dbaba35820f18e2863bf9a2343d542544895a4",
    "input": {
      "file": "https://replicate.delivery/pbxt/Jlou26nIVZiFUkDzB7QjGAasT0s0oLEmCnfebuMKWPhytjBZ/MAX_1608.JPG"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

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

Pull and run stphtan94117/car_removal using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/stphtan94117/car_removal@sha256:b363c3ba077b433fca3012b742dbaba35820f18e2863bf9a2343d542544895a4 \
  -i 'file="https://replicate.delivery/pbxt/Jlou26nIVZiFUkDzB7QjGAasT0s0oLEmCnfebuMKWPhytjBZ/MAX_1608.JPG"'

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

Pull and run stphtan94117/car_removal using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/stphtan94117/car_removal@sha256:b363c3ba077b433fca3012b742dbaba35820f18e2863bf9a2343d542544895a4
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "file": "https://replicate.delivery/pbxt/Jlou26nIVZiFUkDzB7QjGAasT0s0oLEmCnfebuMKWPhytjBZ/MAX_1608.JPG"
    }
  }' \
  http://localhost:5000/predictions

Output

Generated in

54.8 seconds

Tweak itReport

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.