arielreplicate/instruct-pix2pix:10e63b0e – Run with an API on Replicate

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arielreplicate /instruct-pix2pix:10e63b0e

Playground API

Input

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

npx create-replicate --model=arielreplicate/instruct-pix2pix

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";
import fs from "node:fs";

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

Run arielreplicate/instruct-pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "arielreplicate/instruct-pix2pix:10e63b0e6361eb23a0374f4d9ee145824d9d09f7a31dcd70803193ebc7121430",
  {
    input: {
      seed: 0,
      cfg_text: 15,
      cfg_image: 1,
      resolution: 512,
      input_image: "https://replicate.delivery/pbxt/IBuNRwAfF300G5uRCESUsqAjXIVOVEqg2ZhFLiYcru6Kg9mm/1.webp",
      instruction_text: "Give him a beard"
    }
  }
);

// 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 arielreplicate/instruct-pix2pix using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "arielreplicate/instruct-pix2pix:10e63b0e6361eb23a0374f4d9ee145824d9d09f7a31dcd70803193ebc7121430",
    input={
        "seed": 0,
        "cfg_text": 15,
        "cfg_image": 1,
        "resolution": 512,
        "input_image": "https://replicate.delivery/pbxt/IBuNRwAfF300G5uRCESUsqAjXIVOVEqg2ZhFLiYcru6Kg9mm/1.webp",
        "instruction_text": "Give him a beard"
    }
)
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 arielreplicate/instruct-pix2pix 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": "arielreplicate/instruct-pix2pix:10e63b0e6361eb23a0374f4d9ee145824d9d09f7a31dcd70803193ebc7121430",
    "input": {
      "seed": 0,
      "cfg_text": 15,
      "cfg_image": 1,
      "resolution": 512,
      "input_image": "https://replicate.delivery/pbxt/IBuNRwAfF300G5uRCESUsqAjXIVOVEqg2ZhFLiYcru6Kg9mm/1.webp",
      "instruction_text": "Give him a beard"
    }
  }' \
  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/arielreplicate/instruct-pix2pix@sha256:10e63b0e6361eb23a0374f4d9ee145824d9d09f7a31dcd70803193ebc7121430 \
  -i 'seed=0' \
  -i 'cfg_text=15' \
  -i 'cfg_image=1' \
  -i 'resolution=512' \
  -i 'input_image="https://replicate.delivery/pbxt/IBuNRwAfF300G5uRCESUsqAjXIVOVEqg2ZhFLiYcru6Kg9mm/1.webp"' \
  -i 'instruction_text="Give him a beard"'

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/arielreplicate/instruct-pix2pix@sha256:10e63b0e6361eb23a0374f4d9ee145824d9d09f7a31dcd70803193ebc7121430
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "seed": 0,
      "cfg_text": 15,
      "cfg_image": 1,
      "resolution": 512,
      "input_image": "https://replicate.delivery/pbxt/IBuNRwAfF300G5uRCESUsqAjXIVOVEqg2ZhFLiYcru6Kg9mm/1.webp",
      "instruction_text": "Give him a beard"
    }
  }' \
  http://localhost:5000/predictions

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

Output

Generated in

10.1 seconds

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