Image API는 Product Studio 하위 API의 일부입니다. Google Product Studio (GPS) API의 생성형 AI 도구를 활용하여 제품 이미지를 생성하고 최적화합니다. 이를 사용하여 고객 참여도와 전환율을 개선할 수 있습니다.
API를 사용하여 생성할 수 있는 항목
- 제공된 제품 정보와 텍스트 프롬프트를 기반으로 AI 생성 배경이 포함된 제품 이미지
- 원본 이미지의 배경이 삭제된 제품 이미지
- 원본 이미지의 해상도가 향상된 제품 이미지
이미지 배경 생성
GenerateProductImageBackground
메서드는 원본 제품 이미지와 배경을 자세히 설명하는 텍스트 프롬프트를 사용하여 AI 생성 배경이 포함된 제품 이미지를 만들 수 있습니다.
API는 다음을 허용합니다.
- 제품 이미지: 다음 중 하나일 수 있습니다.
- 제품 이미지를 가리키는 URI (예:
{"image_uri": "https://my-store.com/img/1.png"}) - 원시 이미지 바이트(예:
{"image_bytes": b'\xff\xd8\xff\xe0\x00\x10JFIF\x00\x01'})
- 제품 이미지를 가리키는 URI (예:
- 프롬프트: 생성할 배경을 지정하는 문자열입니다.
product_description: 제품에 대한 설명입니다.background_description: 원하는 배경에 대한 설명입니다.
이미지 배경 삭제
RemoveProductImageBackground
메서드는 원본
제품 이미지에서 배경이 삭제된 이미지를 생성할 수 있습니다.
API는 다음을 허용합니다.
- 제품 이미지: 다음 중 하나일 수 있습니다.
- 제품 이미지를 가리키는 URI(예:
{"image_uri": "https://my-store.com/img/1.png"}) - 원시 이미지 바이트(예:
{"image_bytes": b'\xff\xd8\xff\xe0\x00\x10JFIF\x00\x01'})
- 제품 이미지를 가리키는 URI(예:
- 배경 색상: 삭제 후 배경의 색상으로 RGB 형식으로 제공됩니다. 색상이 지정되지 않으면 배경은 RGBA 4채널 투명 이미지가 됩니다.
이미지 확대
UpscaleProductImage
메서드는 원본 제품 이미지
의 해상도가 향상된 이미지를 생성할 수 있습니다.
API는 제품 이미지 를 허용합니다. 다음 중 하나일 수 있습니다.
- 제품 이미지를 가리키는 URI(예:
{"image_uri": "https://my-store.com/img/1.png"}) - 원시 이미지 바이트(예:
{"image_bytes": "image_bytes"})
클라이언트 라이브러리 사용
클라이언트 라이브러리를 사용하여 요청을 제출하는 것이 좋습니다. 지원되는 클라이언트 라이브러리가 언어에 제공되지 않는 경우 Google에서 라이브러리 파일을 직접 제공하여 (이메일 또는 공유 드라이브 폴더) Maven 프로젝트 내에 설치할 수 있습니다.
예
다음 예에서는 API를 사용하여 제품 이미지를 생성하거나 최적화합니다.
제품 이미지의 배경 생성
이 예에서는 선택한 배경으로 제품 이미지를 생성하는 방법을 보여줍니다.
요청
요청 본문에는 이미지 (URI 또는 바이트)와 배경 생성을 위한 프롬프트가 포함됩니다. 다음은 이미지 URI를 사용하는 요청 구조의 예입니다.
POST https://merchantapi.googleapis.com/productstudio/v1alpha/accounts/{ACCOUNT_ID}/generatedImages:generateProductImageBackground
{
"input_image": {
"image_uri": "https://services.google.com/fh/files/misc/abundance_intention_bath_salts.jpg"
},
"config": {
"product_description": "a jar",
"background_description": "sitting on a cracked stone surface surrounded by a cherry blossom tree and pink and white flowers in the background, high resolution, product photography, strong shadows and lights, creative"
}
}
또는 원시 이미지 바이트를 사용할 수 있습니다.
POST https://merchantapi.googleapis.com/productstudio/v1alpha/accounts/{ACCOUNT_ID}/generatedImages:generateProductImageBackground
{
"input_image": {
"image_bytes": "b'\xff\xd8\xff\xe0\x00\x10JFIF\x00\x01\x01\x00\x00\x01\x00\x01\x00\x00\xff'"
},
"config": {
"product_description": "a jar",
"background_description": "sitting on a cracked stone surface surrounded by a cherry blossom tree and pink and white flowers in the background, high resolution, product photography, strong shadows and lights, creative"
}
}
응답
다음과 같은 응답이 표시됩니다.
{
"generated_image": {
"image_bytes": "b'\x7d\x1b\x8f\x04\x5c\x9e\x23\xf0\x6a\xd1\x4b\x87\x0c\x3e\xa9\x21\xb5'",
"generation_time": "2025-05-13T00:06:54.754828Z"
},
}
또는 output_config,에서 return_image_uri가 true로 설정된 경우 다음과 같이 표시됩니다.
{
"generated_image": {
"uri": "https://lh3.googleusercontent.com/gps-generations/AI9LgEvIFfK0YaLKvwvIBc9ItJtJGFE6hi25o6-N3Fz6YTw57pFghfIVlCGve7eyJcQkhoAqGAf8NDzW70qjwGOCuHhiouqF2nqxBwCcfDxZPkYRl3h7CIjyev9asJw7x-0g0V_xvurfowZJ0moXu98kmV01A3Thv2ZRlTAiOPYuEb8wnY7EeyD9l48lDdwJgZ4jqxtTgrRbwvpno4NICj9q830RzATiBHuJ_WUFQJiHOMAqbGyrQIWQTQ",
"generation_time": "2025-05-13T00:06:54.754828Z"
}
}
코드 샘플
다음은 제품 이미지 배경을 생성하는 방법을 보여주는 코드 샘플입니다.
자바
import com.google.api.gax.core.FixedCredentialsProvider;
import com.google.auth.oauth2.GoogleCredentials;
import com.google.shopping.merchant.productstudio.v1alpha.GenerateImageBackgroundConfig;
import com.google.shopping.merchant.productstudio.v1alpha.GenerateProductImageBackgroundRequest;
import com.google.shopping.merchant.productstudio.v1alpha.GenerateProductImageBackgroundResponse;
import com.google.shopping.merchant.productstudio.v1alpha.ImageServiceClient;
import com.google.shopping.merchant.productstudio.v1alpha.ImageServiceSettings;
import com.google.shopping.merchant.productstudio.v1alpha.InputImage;
import com.google.shopping.merchant.productstudio.v1alpha.OutputImageConfig;
import shopping.merchant.samples.utils.Authenticator;
import shopping.merchant.samples.utils.Config;
/** This class demonstrates how to create product images with generated backgrounds. */
public class GenerateProductImageBackgroundSample {
private static String getName(String accountId) {
return String.format("accounts/%s", accountId);
}
public static void generateProductImageBackground(Config config, String imageUri)
throws Exception {
// Obtains OAuth token based on the user's configuration.
GoogleCredentials credential = new Authenticator().authenticate();
ImageServiceSettings imageServiceSettings =
ImageServiceSettings.newBuilder()
.setCredentialsProvider(FixedCredentialsProvider.create(credential))
.build();
String name = getName(config.getAccountId().toString());
// Calls the API and catches and prints any network failures/errors.
try (ImageServiceClient imageServiceClient = ImageServiceClient.create(imageServiceSettings)) {
OutputImageConfig outputImageConfig =
// Set this field to false to return the image bytes in the response instead.
OutputImageConfig.newBuilder().setReturnImageUri(true).build();
InputImage inputImage =
InputImage.newBuilder()
// You can also use image bytes here instead of a URI.
.setImageUri(imageUri)
.build();
GenerateImageBackgroundConfig generateImageBackgroundConfig =
GenerateImageBackgroundConfig.newBuilder()
.setProductDescription("a jar")
.setBackgroundDescription(
"sitting on a cracked stone surface surrounded by a cherry blossom tree and pink"
+ " and white flowers in the background, high resolution, product"
+ " photography, strong shadows and lights, creative")
.build();
GenerateProductImageBackgroundRequest request =
GenerateProductImageBackgroundRequest.newBuilder()
.setName(name)
.setOutputConfig(outputImageConfig)
.setInputImage(inputImage)
.setConfig(generateImageBackgroundConfig)
.build();
System.out.println("Sending GenerateProductImageBackground request: " + name);
GenerateProductImageBackgroundResponse response =
imageServiceClient.generateProductImageBackground(request);
System.out.println("Generated product image background response below:");
System.out.println(response);
} catch (Exception e) {
System.out.println("An error has occurred: ");
System.out.println(e);
}
}
public static void main(String[] args) throws Exception {
Config config = Config.load();
// Replace with your image URI.
String imageUri =
"https://services.google.com/fh/files/misc/abundance_intention_bath_salts.jpg";
generateProductImageBackground(config, imageUri);
}
}
Python
from examples.authentication import configuration
from examples.authentication import generate_user_credentials
from google.shopping.merchant_productstudio_v1alpha import GenerateImageBackgroundConfig
from google.shopping.merchant_productstudio_v1alpha import GenerateProductImageBackgroundRequest
from google.shopping.merchant_productstudio_v1alpha import ImageServiceClient
from google.shopping.merchant_productstudio_v1alpha import InputImage
from google.shopping.merchant_productstudio_v1alpha import OutputImageConfig
# Gets the merchant account ID from the user's configuration.
_ACCOUNT = configuration.Configuration().read_merchant_info()
# The name of the account to which the request is sent.
# Format: accounts/{account}
_NAME = f"accounts/{_ACCOUNT}"
def generate_product_image_background(image_uri: str) -> None:
"""Generates a product image with a custom background.
Args:
image_uri: The URI of the input image.
"""
# Gets OAuth Credentials.
credentials = generate_user_credentials.main()
# Creates a client.
client = ImageServiceClient(credentials=credentials)
# Creates the output config.
# Set `return_image_uri` to False to return the image bytes in the response.
output_config = OutputImageConfig(return_image_uri=True)
# Creates the input image.
# You can also use image bytes here instead of a URI.
input_image = InputImage(image_uri=image_uri)
# Creates the generate image background config.
generate_image_background_config = GenerateImageBackgroundConfig(
product_description="a jar",
background_description=(
"sitting on a cracked stone surface surrounded by a cherry blossom"
" tree and pink and white flowers in the background, high"
" resolution, product photography, strong shadows and lights,"
" creative"
),
)
# Creates the request.
request = GenerateProductImageBackgroundRequest(
name=_NAME,
output_config=output_config,
input_image=input_image,
config=generate_image_background_config,
)
# Makes the request and catches and prints any error messages.
try:
print(f"Sending GenerateProductImageBackground request: {_NAME}")
response = client.generate_product_image_background(request=request)
print("Generated product image background response below:")
print(response)
except RuntimeError as e:
print("Request failed.")
print(e)
if __name__ == "__main__":
# The URI of the image to use as the base for the generation.
# Replace with your image URI.
_IMAGE_URI = (
"https://services.google.com/fh/files/misc/abundance_intention_bath_salts.jpg"
)
generate_product_image_background(_IMAGE_URI)
제품 이미지에서 배경 삭제
이 예에서는 제품 이미지에서 배경을 삭제하는 방법을 보여줍니다.
요청
요청 본문에는 이미지 (URI 또는 바이트)와 선택적으로 배경을 대체할 색상이 포함됩니다.
참고:
- 색상 값을 [0~255] 범위의 RGB 형식으로 지정합니다.
- 배경 색상을 지정하지 않으면 RGBA 4채널 투명 이미지가 됩니다.
다음은 이미지 URI를 사용하고 배경을 녹색 (0, 255, 0)으로 설정하는 요청 구조의 예입니다.
POST https://merchantapi.googleapis.com/productstudio/v1alpha/accounts/{ACCOUNT_ID}/generatedImages:removeProductImageBackground
{
"input_image": {
"image_uri": "https://services.google.com/fh/files/misc/abundance_intention_bath_salts.jpg"
},
"config": {
"background_color": {
"red": 0,
"green": 255,
"blue": 0
}
}
}
또는 원시 이미지 바이트를 사용하여 동일한 함수를 실행할 수 있습니다.
POST https://merchantapi.googleapis.com/productstudio/v1alpha/accounts/{ACCOUNT_ID}/generatedImages:removeProductImageBackground
{
"input_image": {
"image_bytes": "b'\xff\xd8\xff\xe0\x00\x10JFIF\x00\x01\x01\x00\x00\x01\x00\x01\x00\x00\xff'"
},
"config": {
"background_color": {
"red": 0,
"green": 255,
"blue": 0
}
}
}
응답
다음과 같은 응답이 표시됩니다.
{
"generated_image": {
"image_bytes": "b'\x7d\x1b\x8f\x04\x5c\x9e\x23\xf0\x6a\xd1\x4b\x87\x0c\x3e\xa9\x21\xb5'",
"generation_time": "2025-05-13T00:06:54.754828Z"
},
}
또는 output_config에서 return_image_uri가 true로 설정된 경우 다음과 같이 표시됩니다.
{
"generated_image": {
"uri": "https://lh3.googleusercontent.com/gps-generations/AI9LgEsYi83dcMKVV44i3vHDHzz_PJLuPyJHh9iX7IrsZ0ZIIRIS6SB4ovBmr0L9lZ1VNacZ5duwhcJ8Q8mXMYaIEArf2ieC2OuKEhRzVb-UxlkAUpitEpS5-M3Y3Ch3TGhQTZmBJXlsHLTuf0XcPwNHoNxJlgF0v_mQ6DIlPugZKC_WiYN2DNUkJivfr4WvifhMn5NaMKpDwpH4Acj-bdGNQ77M-8sj4SyEu3sHCF8ZtnMvF5DbGIYOJQ"
}
}
코드 샘플
다음은 제품 이미지 배경을 삭제하는 방법을 보여주는 코드 샘플입니다.
자바
import com.google.api.gax.core.FixedCredentialsProvider;
import com.google.auth.oauth2.GoogleCredentials;
import com.google.shopping.merchant.productstudio.v1alpha.ImageServiceClient;
import com.google.shopping.merchant.productstudio.v1alpha.ImageServiceSettings;
import com.google.shopping.merchant.productstudio.v1alpha.InputImage;
import com.google.shopping.merchant.productstudio.v1alpha.OutputImageConfig;
import com.google.shopping.merchant.productstudio.v1alpha.RemoveImageBackgroundConfig;
import com.google.shopping.merchant.productstudio.v1alpha.RemoveProductImageBackgroundRequest;
import com.google.shopping.merchant.productstudio.v1alpha.RemoveProductImageBackgroundResponse;
import com.google.shopping.merchant.productstudio.v1alpha.RgbColor;
import shopping.merchant.samples.utils.Authenticator;
import shopping.merchant.samples.utils.Config;
/** This class demonstrates how to create product images with the background removed. */
public class RemoveProductImageBackgroundSample {
private static String getName(String accountId) {
return String.format("accounts/%s", accountId);
}
public static void removeProductImageBackground(Config config, String imageUri) throws Exception {
// Obtains OAuth token based on the user's configuration.
GoogleCredentials credential = new Authenticator().authenticate();
ImageServiceSettings imageServiceSettings =
ImageServiceSettings.newBuilder()
.setCredentialsProvider(FixedCredentialsProvider.create(credential))
.build();
String name = getName(config.getAccountId().toString());
// Calls the API and catches and prints any network failures/errors.
try (ImageServiceClient imageServiceClient = ImageServiceClient.create(imageServiceSettings)) {
OutputImageConfig outputImageConfig =
// Set this field to false to return the image bytes in the response instead.
OutputImageConfig.newBuilder().setReturnImageUri(true).build();
InputImage inputImage =
InputImage.newBuilder()
// You can also use image bytes here instead of a URI.
.setImageUri(imageUri)
.build();
RemoveImageBackgroundConfig removeImageBackgroundConfig =
RemoveImageBackgroundConfig.newBuilder()
// Setting the background color to green. Don't set this field if you want the image
// to have a RGBA 4-channel transparent image as the background.
.setBackgroundColor(RgbColor.newBuilder().setRed(0).setGreen(255).setBlue(0))
.build();
RemoveProductImageBackgroundRequest request =
RemoveProductImageBackgroundRequest.newBuilder()
.setName(name)
.setOutputConfig(outputImageConfig)
.setInputImage(inputImage)
.setConfig(removeImageBackgroundConfig)
.build();
System.out.println("Sending RemoveProductImageBackground request: " + name);
RemoveProductImageBackgroundResponse response =
imageServiceClient.removeProductImageBackground(request);
System.out.println("Removed product image background response below:");
System.out.println(response);
} catch (Exception e) {
System.out.println("An error has occurred: ");
System.out.println(e);
}
}
public static void main(String[] args) throws Exception {
Config config = Config.load();
// Replace with your image URI.
String imageUri =
"https://services.google.com/fh/files/misc/abundance_intention_bath_salts.jpg";
removeProductImageBackground(config, imageUri);
}
}
Python
from examples.authentication import configuration
from examples.authentication import generate_user_credentials
from google.shopping.merchant_productstudio_v1alpha import ImageServiceClient
from google.shopping.merchant_productstudio_v1alpha import InputImage
from google.shopping.merchant_productstudio_v1alpha import OutputImageConfig
from google.shopping.merchant_productstudio_v1alpha import RemoveImageBackgroundConfig
from google.shopping.merchant_productstudio_v1alpha import RemoveProductImageBackgroundRequest
from google.shopping.merchant_productstudio_v1alpha import RgbColor
# Gets the merchant account ID from the user's configuration.
_ACCOUNT = configuration.Configuration().read_merchant_info()
# The name of the account to which the request is sent.
# Format: accounts/{account}
_NAME = f"accounts/{_ACCOUNT}"
def remove_product_image_background(image_uri: str) -> None:
"""Removes the background from a product image.
Args:
image_uri: The URI of the input image.
"""
# Gets OAuth Credentials.
credentials = generate_user_credentials.main()
# Creates a client.
client = ImageServiceClient(credentials=credentials)
# Creates the output config.
# Set `return_image_uri` to False to return the image bytes in the response.
output_config = OutputImageConfig(return_image_uri=True)
# Creates the input image.
# You can also use image bytes here instead of a URI.
input_image = InputImage(image_uri=image_uri)
# Creates the remove image background config.
# Setting the background color to green. Don't set this field if you want the
# image to have a RGBA 4-channel transparent image as the background.
remove_image_background_config = RemoveImageBackgroundConfig(
background_color=RgbColor(red=0, green=255, blue=0)
)
# Creates the request.
request = RemoveProductImageBackgroundRequest(
name=_NAME,
output_config=output_config,
input_image=input_image,
config=remove_image_background_config,
)
# Makes the request and catches and prints any error messages.
try:
print(f"Sending RemoveProductImageBackground request: {_NAME}")
response = client.remove_product_image_background(request=request)
print("Removed product image background response below:")
print(response)
except RuntimeError as e:
print("Request failed.")
print(e)
if __name__ == "__main__":
# The URI of the image to remove the background from.
# Replace with your image URI.
_IMAGE_URI = (
"https://services.google.com/fh/files/misc/abundance_intention_bath_salts.jpg"
)
remove_product_image_background(_IMAGE_URI)
제품 이미지 확대
이 예에서는 제품 이미지의 품질과 크기를 개선하는 방법을 보여줍니다.
요청
요청 본문에는 이미지 (URI 또는 바이트)가 포함됩니다. 다음은 이미지 URI를 사용하는 요청 구조의 예입니다.
POST https://merchantapi.googleapis.com/productstudio/v1alpha/accounts/{ACCOUNT_ID}/generatedImages:upscaleProductImage
{
"input_image": {
"image_uri": "https://services.google.com/fh/files/misc/ring_image_400_600.jpg"
}
}
또는 원시 이미지 바이트를 대신 사용할 수 있습니다.
POST https://merchantapi.googleapis.com/productstudio/v1alpha/accounts/{ACCOUNT_ID}/generatedImages:upscaleProductImage
{
"input_image": {
"image_bytes": "b'\xff\xd8\xff\xe0\x00\x10JFIF\x00\x01\x01\x00\x00\x01\x00\x01\x00\x00\xff'"
}
}
응답
다음과 같은 응답이 표시됩니다.
{
"generated_image": {
"image_bytes": "b'\x7d\x1b\x8f\x04\x5c\x9e\x23\xf0\x6a\xd1\x4b\x87\x0c\x3e\xa9\x21\xb5'",
"generation_time": "2025-05-13T00:06:54.754828Z"
},
}
또는 output_config,에서 return_image_uri가 true로 설정된 경우 다음과 같이 표시됩니다.
{
"generated_image": {
"uri": "https://lh3.googleusercontent.com/gps-generations/AI9LgEvIFfK0YaLKvwvIBc9ItJtJGFE6hi25o6-N3Fz6YTw57pFghfIVlCGve7eyJcQkhoAqGAf8NDzW70qjwGOCuHhiouqF2nqxBwCcfDxZPkYRl3h7CIjyev9asJw7x-0g0V_xvurfowZJ0moXu98kmV01A3Thv2ZRlTAiOPYuEb8wnY7EeyD9l48lDdwJgZ4jqxtTgrRbwvpno4NICj9q830RzATiBHuJ_WUFQJiHOMAqbGyrQIWQTQ"
}
}
코드 샘플
다음은 제품 이미지를 확대하는 방법을 보여주는 코드 샘플입니다.
자바
import com.google.api.gax.core.FixedCredentialsProvider;
import com.google.auth.oauth2.GoogleCredentials;
import com.google.shopping.merchant.productstudio.v1alpha.ImageServiceClient;
import com.google.shopping.merchant.productstudio.v1alpha.ImageServiceSettings;
import com.google.shopping.merchant.productstudio.v1alpha.InputImage;
import com.google.shopping.merchant.productstudio.v1alpha.OutputImageConfig;
import com.google.shopping.merchant.productstudio.v1alpha.UpscaleProductImageRequest;
import com.google.shopping.merchant.productstudio.v1alpha.UpscaleProductImageResponse;
import shopping.merchant.samples.utils.Authenticator;
import shopping.merchant.samples.utils.Config;
/** This class demonstrates how to create upscaled product images. */
public class UpscaleProductImageSample {
private static String getName(String accountId) {
return String.format("accounts/%s", accountId);
}
public static void upscaleProductImage(Config config, String imageUri) throws Exception {
// Obtains OAuth token based on the user's configuration.
GoogleCredentials credential = new Authenticator().authenticate();
ImageServiceSettings imageServiceSettings =
ImageServiceSettings.newBuilder()
.setCredentialsProvider(FixedCredentialsProvider.create(credential))
.build();
String name = getName(config.getAccountId().toString());
// Calls the API and catches and prints any network failures/errors.
try (ImageServiceClient imageServiceClient = ImageServiceClient.create(imageServiceSettings)) {
OutputImageConfig outputImageConfig =
// Set this field to false to return the image bytes in the response instead.
OutputImageConfig.newBuilder().setReturnImageUri(true).build();
InputImage inputImage =
InputImage.newBuilder()
// You can also use image bytes here instead of a URI.
.setImageUri(imageUri)
.build();
UpscaleProductImageRequest request =
UpscaleProductImageRequest.newBuilder()
.setName(name)
.setOutputConfig(outputImageConfig)
.setInputImage(inputImage)
.build();
System.out.println("Sending UpscaleProductImage request: " + name);
UpscaleProductImageResponse response = imageServiceClient.upscaleProductImage(request);
System.out.println("Upscaled product image response below:");
System.out.println(response);
} catch (Exception e) {
System.out.println("An error has occurred: ");
System.out.println(e);
}
}
public static void main(String[] args) throws Exception {
Config config = Config.load();
// Replace with your image URI.
String imageUri = "https://services.google.com/fh/files/misc/ring_image_400_600.jpg";
upscaleProductImage(config, imageUri);
}
}
Python
from examples.authentication import configuration
from examples.authentication import generate_user_credentials
from google.shopping.merchant_productstudio_v1alpha import ImageServiceClient
from google.shopping.merchant_productstudio_v1alpha import InputImage
from google.shopping.merchant_productstudio_v1alpha import OutputImageConfig
from google.shopping.merchant_productstudio_v1alpha import UpscaleProductImageRequest
# Gets the merchant account ID from the user's configuration.
_ACCOUNT = configuration.Configuration().read_merchant_info()
# The name of the account to which the request is sent.
# Format: accounts/{account}
_NAME = f"accounts/{_ACCOUNT}"
def upscale_product_image(image_uri: str) -> None:
"""Upscales a product image.
Args:
image_uri: The URI of the input image.
"""
# Gets OAuth Credentials.
credentials = generate_user_credentials.main()
# Creates a client.
client = ImageServiceClient(credentials=credentials)
# Creates the output config.
# Set `return_image_uri` to False to return the image bytes in the response.
output_config = OutputImageConfig(return_image_uri=True)
# Creates the input image.
# You can also use image bytes here instead of a URI.
input_image = InputImage(image_uri=image_uri)
# Creates the request.
request = UpscaleProductImageRequest(
name=_NAME, output_config=output_config, input_image=input_image
)
# Makes the request and catches and prints any error messages.
try:
print(f"Sending UpscaleProductImage request: {_NAME}")
response = client.upscale_product_image(request=request)
print("Upscaled product image response below:")
print(response)
except RuntimeError as e:
print("Request failed.")
print(e)
if __name__ == "__main__":
# The URI of the image to upscale.
# Replace with your image URI.
_IMAGE_URI = "https://services.google.com/fh/files/misc/ring_image_400_600.jpg"
upscale_product_image(_IMAGE_URI)
일반적인 오류 및 문제
다음은 몇 가지 일반적인 문제와 해결 방법입니다.
'입력 이미지가 필요합니다'
다음 오류 메시지가 표시되면 요청 본문에 input_image를 추가합니다.
Error message:
"error": {
"code": 400,
"message": "[input_image] Input image is required to generate product image background.",
"status": "INVALID_ARGUMENT",
...
}
'이미지의 필드가 하나 이상 필요합니다'
다음 오류 메시지가 표시되면 요청 본문에서 image_uri 또는 image_bytes 중 하나만 올바르게 채웁니다.
Error message:
"error": {
"code": 400,
"message": "[input_image.image] At least one field of image is required to generate product image background.",
"status": "INVALID_ARGUMENT",
...
}
예를 들어 이렇게 게시하면 오류가 발생합니다.
POST https://merchantapi.googleapis.com/productstudio/v1alpha/accounts/{ACCOUNT_ID}/generatedImages:generateProductImageBackground
{
"config": {
"product_description": "a jar",
"background_description": "sitting on a cracked stone surface surrounded by a cherry blossom tree and pink and white flowers in the background, high resolution, product photography, strong shadows and lights, creative"
}
}
'제품 이미지 배경을 생성하려면 구성이 필요합니다'
이 오류가 발생하면 요청 본문에 config를 추가하고 product_description과 background_description을 모두 채웁니다.
Error message:
"error": {
"code": 400,
"message": "[config] Config is required to generate product image background.",
"status": "INVALID_ARGUMENT",
...
}
예를 들어 이렇게 게시하면 오류가 발생합니다.
POST https://merchantapi.googleapis.com/productstudio/v1alpha/accounts/{ACCOUNT_ID}/generatedImages:generateProductImageBackground
{
"input_image": {
"image_uri": "https://services.google.com/fh/files/misc/abundance_intention_bath_salts.jpg"
}
}
'제품 이미지 배경을 생성하려면 제품 설명이 필요합니다'
다음 두 오류 메시지 중 하나가 표시되면 config에서 product_description과 background_description을 모두 채워야 합니다.
다음은 누락된 제품 설명의 예입니다.
Error message:
"error": {
"code": 400,
"message": "[config.product_description] Product description is required to generate product image background.",
"status": "INVALID_ARGUMENT",
...
}
다음은 누락된 배경 설명의 예입니다.
Error message:
"error": {
"code": 400,
"message": "[config.background_description] Background description is required to generate product image background.",
"status": "INVALID_ARGUMENT",
...
}
예를 들어 다음 요청을 실행하면 오류가 발생합니다.
POST https://merchantapi.googleapis.com/productstudio/v1alpha/accounts/{ACCOUNT_ID}/generatedImages:generateProductImageBackground
{
"input_image": {
"image_uri": "https://services.google.com/fh/files/misc/abundance_intention_bath_salts.jpg"
},
"config": {
}
}