camenduru/ml-mgie:cd6688b0 – Run with an API on Replicate

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camenduru /ml-mgie:cd6688b0

Playground API

Input

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

npx create-replicate --model=camenduru/ml-mgie

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 camenduru/ml-mgie using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "camenduru/ml-mgie:cd6688b06dcdcf8b6c614abe400d37d40d85b9e07e438396582a1721686667b7",
  {
    input: {
      seed: 13331,
      prompt: "make the frame red",
      text_cfg: 7.5,
      image_cfg: 1.5,
      input_image: "https://replicate.delivery/pbxt/KNSKXP6DiykiZn7bEsZoZiaxGmE5o90BSUbDr67KrbOZcAvc/_input_0.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 camenduru/ml-mgie using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "camenduru/ml-mgie:cd6688b06dcdcf8b6c614abe400d37d40d85b9e07e438396582a1721686667b7",
    input={
        "seed": 13331,
        "prompt": "make the frame red",
        "text_cfg": 7.5,
        "image_cfg": 1.5,
        "input_image": "https://replicate.delivery/pbxt/KNSKXP6DiykiZn7bEsZoZiaxGmE5o90BSUbDr67KrbOZcAvc/_input_0.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 camenduru/ml-mgie 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": "camenduru/ml-mgie:cd6688b06dcdcf8b6c614abe400d37d40d85b9e07e438396582a1721686667b7",
    "input": {
      "seed": 13331,
      "prompt": "make the frame red",
      "text_cfg": 7.5,
      "image_cfg": 1.5,
      "input_image": "https://replicate.delivery/pbxt/KNSKXP6DiykiZn7bEsZoZiaxGmE5o90BSUbDr67KrbOZcAvc/_input_0.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

path

text

If the frame of the glasses in the image were made red, the overall appearance of the scene would change significantly.The red frame would draw more attention to the glass and create a stronger contrast with the black frame.

Generated in

12.3 seconds

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