google-research/maskgit:16325bd5 | Run with an API on Replicate

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google-research /maskgit:16325bd5

Playground API

Input

task_type

string

Choose task type.

Default: "Class-conditional Image Synthesis"

category

*string

Choose the ImageNet label, which determines what type of object to synthesize or edit to.

image_size

integer

Choose the size of the generated image. Output will generate 8 images.

Default: 256

seed

integer

set random seed

Default: 42

image

file

Provide input image for Class-conditional Image Editing. The image will be resized to image_size.

bbox_top_left_height_width

string

Shift + Return to add a new line

For Class-conditional Image Editing, provide the area for image editing in the format of top_left_height_width, e.g. input image 128_64_256_288. Output will show the resized image with the box highlighting the edited area and 8 edited images.

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

npx create-replicate --model=google-research/maskgit

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 google-research/maskgit using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "google-research/maskgit:16325bd5e326690813672502341daab987a292560bf7a4fb9295e796785557b5",
  {
    input: {
      seed: 42,
      category: "0) tench, Tinca tinca",
      task_type: "Class-conditional Image Synthesis",
      image_size: 256
    }
  }
);

// 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 google-research/maskgit using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "google-research/maskgit:16325bd5e326690813672502341daab987a292560bf7a4fb9295e796785557b5",
    input={
        "seed": 42,
        "category": "0) tench, Tinca tinca",
        "task_type": "Class-conditional Image Synthesis",
        "image_size": 256
    }
)
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 google-research/maskgit 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": "google-research/maskgit:16325bd5e326690813672502341daab987a292560bf7a4fb9295e796785557b5",
    "input": {
      "seed": 42,
      "category": "0) tench, Tinca tinca",
      "task_type": "Class-conditional Image Synthesis",
      "image_size": 256
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.