Prediction

google-research/maskgit:16325bd5e326690813672502341daab987a292560bf7a4fb9295e796785557b5

Model

google-research/maskgit:16325bd5

ID

7alr7yc7ajeejo3vj3sfztz5ru

Status

Succeeded

Source

Web

Hardware

–

Total duration

25.7s

Created

about 3 years ago

Input

seed: 42
category: 90) lorikeet
task_type: Class-conditional Image Synthesis
image_size: "256"

{
  "seed": 42,
  "category": "90) lorikeet",
  "task_type": "Class-conditional Image Synthesis",
  "image_size": "256"
}

Install Replicate’s Node.js client library:

npm install replicate

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: "90) lorikeet",
      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

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": "90) lorikeet",
        "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.

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": "90) lorikeet",
      "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

Generated in

25.4 seconds

Tweak it ShareReport

Prediction

google-research/maskgit:16325bd5e326690813672502341daab987a292560bf7a4fb9295e796785557b5

Model

google-research/maskgit:16325bd5

ID

vcy4znf5gjbytcwajxhh44u4jm

Status

Succeeded

Source

Web

Hardware

–

Total duration

49.3s

Created

about 3 years ago

Input

seed: 42
image
category: 283) Persian cat
task_type: Class-conditional Image Editing
image_size: "512"
bbox_top_left_height_width: 128_64_256_288

{
  "seed": 42,
  "image": "https://replicate.delivery/mgxm/6a42eba6-2276-47b2-bc9c-3bcd81b7e405/class_cond_input_1.png",
  "category": "283) Persian cat",
  "task_type": "Class-conditional Image Editing",
  "image_size": "512",
  "bbox_top_left_height_width": "128_64_256_288"
}

Install Replicate’s Node.js client library:

npm install replicate

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,
      image: "https://replicate.delivery/mgxm/6a42eba6-2276-47b2-bc9c-3bcd81b7e405/class_cond_input_1.png",
      category: "283) Persian cat",
      task_type: "Class-conditional Image Editing",
      image_size: "512",
      bbox_top_left_height_width: "128_64_256_288"
    }
  }
);

// 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

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,
        "image": "https://replicate.delivery/mgxm/6a42eba6-2276-47b2-bc9c-3bcd81b7e405/class_cond_input_1.png",
        "category": "283) Persian cat",
        "task_type": "Class-conditional Image Editing",
        "image_size": "512",
        "bbox_top_left_height_width": "128_64_256_288"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

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,
      "image": "https://replicate.delivery/mgxm/6a42eba6-2276-47b2-bc9c-3bcd81b7e405/class_cond_input_1.png",
      "category": "283) Persian cat",
      "task_type": "Class-conditional Image Editing",
      "image_size": "512",
      "bbox_top_left_height_width": "128_64_256_288"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

49.0 seconds

Tweak it ShareReport

Prediction

google-research/maskgit:16325bd5e326690813672502341daab987a292560bf7a4fb9295e796785557b5

Model

google-research/maskgit:16325bd5

ID

c4so6hu3ybbmxa3djfku53734y

Status

Succeeded

Source

Web

Hardware

–

Total duration

42.6s

Created

about 3 years ago

Input

seed: 42
image
category: 345) ox
task_type: Class-conditional Image Editing
image_size: "512"
bbox_top_left_height_width: 128_64_256_288

{
  "seed": 42,
  "image": "https://replicate.delivery/mgxm/cc9b1de8-af5a-418d-b465-6a9438dbf7db/class_cond_input_1.png",
  "category": "345) ox",
  "task_type": "Class-conditional Image Editing",
  "image_size": "512",
  "bbox_top_left_height_width": "128_64_256_288"
}

Install Replicate’s Node.js client library:

npm install replicate

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,
      image: "https://replicate.delivery/mgxm/cc9b1de8-af5a-418d-b465-6a9438dbf7db/class_cond_input_1.png",
      category: "345) ox",
      task_type: "Class-conditional Image Editing",
      image_size: "512",
      bbox_top_left_height_width: "128_64_256_288"
    }
  }
);

// 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

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,
        "image": "https://replicate.delivery/mgxm/cc9b1de8-af5a-418d-b465-6a9438dbf7db/class_cond_input_1.png",
        "category": "345) ox",
        "task_type": "Class-conditional Image Editing",
        "image_size": "512",
        "bbox_top_left_height_width": "128_64_256_288"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

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,
      "image": "https://replicate.delivery/mgxm/cc9b1de8-af5a-418d-b465-6a9438dbf7db/class_cond_input_1.png",
      "category": "345) ox",
      "task_type": "Class-conditional Image Editing",
      "image_size": "512",
      "bbox_top_left_height_width": "128_64_256_288"
    }
  }' \
  https://api.replicate.com/v1/predictions

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