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

camenduru / ml-mgie

Guiding Instruction-based Image Editing via Multimodal Large Language Models

Cold

Public
6.8K runs
L40S
GitHub
Paper
License

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=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

Tweak itReport

Examples

View more examples

Run time and cost

This model costs approximately $0.059 to run on Replicate, or 16 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 Nvidia L40S GPU hardware. Predictions typically complete within 61 seconds. The predict time for this model varies significantly based on the inputs.

Readme

🐣 Please follow me for new updates https://twitter.com/camenduru
🔥 Please join our discord server https://discord.gg/k5BwmmvJJU
🥳 Please join my patreon community https://patreon.com/camenduru

Input

Output

Examples

Run time and cost

Readme

🕸 Replicate

🧬 Code

📄 Paper

🌐 Page

🏢 Sponsor