ai-platform/snippets/imagen-edit-image-mask-free.js (65 lines of code) (raw):
/*
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
'use strict';
async function main() {
// [START generativeaionvertexai_imagen_edit_image_mask_free]
/**
* TODO(developer): Update these variables before running the sample.
*/
const projectId = process.env.CAIP_PROJECT_ID;
const location = 'us-central1';
const inputFile = 'resources/cat.png';
const prompt = 'dog';
const aiplatform = require('@google-cloud/aiplatform');
// Imports the Google Cloud Prediction Service Client library
const {PredictionServiceClient} = aiplatform.v1;
// Import the helper module for converting arbitrary protobuf.Value objects
const {helpers} = aiplatform;
// Specifies the location of the api endpoint
const clientOptions = {
apiEndpoint: `${location}-aiplatform.googleapis.com`,
};
// Instantiates a client
const predictionServiceClient = new PredictionServiceClient(clientOptions);
async function editImageMaskFree() {
const fs = require('fs');
const util = require('util');
// Configure the parent resource
const endpoint = `projects/${projectId}/locations/${location}/publishers/google/models/imagegeneration@002`;
const imageFile = fs.readFileSync(inputFile);
// Convert the image data to a Buffer and base64 encode it.
const encodedImage = Buffer.from(imageFile).toString('base64');
const promptObj = {
prompt: prompt, // The text prompt describing what you want to see
image: {
bytesBase64Encoded: encodedImage,
},
};
const instanceValue = helpers.toValue(promptObj);
const instances = [instanceValue];
const parameter = {
// Optional parameters
seed: 100,
// Controls the strength of the prompt
// 0-9 (low strength), 10-20 (medium strength), 21+ (high strength)
guidanceScale: 21,
sampleCount: 1,
};
const parameters = helpers.toValue(parameter);
const request = {
endpoint,
instances,
parameters,
};
// Predict request
const [response] = await predictionServiceClient.predict(request);
const predictions = response.predictions;
if (predictions.length === 0) {
console.log(
'No image was generated. Check the request parameters and prompt.'
);
} else {
let i = 1;
for (const prediction of predictions) {
const buff = Buffer.from(
prediction.structValue.fields.bytesBase64Encoded.stringValue,
'base64'
);
// Write image content to the output file
const writeFile = util.promisify(fs.writeFile);
const filename = `output${i}.png`;
await writeFile(filename, buff);
console.log(`Saved image ${filename}`);
i++;
}
}
}
await editImageMaskFree();
// [END generativeaionvertexai_imagen_edit_image_mask_free]
}
main().catch(err => {
console.error(err);
process.exitcode = 1;
});