User Guide For Magento 2 AI Base Image Generator

Magento 2 AI Base Image Generator allows admins to create realistic product images using AI, with the ability to adjust the model’s age, gender, body shape, and skin tone.

This helps merchants save time, reduce photography costs, and maintain visual consistency across their product catalogue.

By using this module, admins can generate AI-based product images by adjusting the model age, gender, body type, and skin color — all with just a few clicks.

Additionally, the Custom Options with Stock and Images for Magento 2 extension allows you to display custom options as sample text on product pages.

Additionally, you can check out the Magento 2 Image Gallery module, which allows admins to add and manage images in multiple galleries and organize those galleries into various groups as needed.

• Generate product images automatically using AI.
• Customize the model age, gender, body typeAnd skin color.
• Save the resulting image directly to the product gallery.
• Automatically link images to Magento product catalogs.
• Easy to configure with Gemini API integration.

Customers will get a zip folder then they have to extract the contents of this zip folder on their system.

The extracted folder has src folder, inside the src folder you have application folder. You need to transfer this application folder to the Magento 2 root directory on the server, as shown below.

After successful installation, you have to do it run this command in Magento 2 Root directory:

php bin/magento setup:upgrade

php bin/magento setup:di:compile

php bin/magento setup:static-content:deploy

php bin/magento indexer:reindex

php bin/magento cache:flush

For multilingual support, admin will navigate Store->Configuration->General ->Local Options and select local as German

(the language the admin wants to translate the shop content into).

For Magento 2 AI Base Image Generator translation, navigate to the following path in your system src/application/code/Webkul/AIBaseImageGenerator/i18n.

Open the file named en_US.CSV to edit as shown in the image below.

Now, upload it to the path src/application/code/Webkul/AIBaseImageGenerator/i18n where the Magento 2 installation is on the server. The module is translated into the desired language.

Users can edit the CSV as shown below.

After editing and translating the CSV file, you need to save the name of the translated file according to your region, language and country code, such as – from_OF.CSV.

Followed by uploading the translation file to the same folder where you got it. Now your module translation is complete.

To get the Gemini key, please see the Link

To configure Magento 2 AI Base Image Generator, admin needs to navigate “Store > Configuration > Webkul > AI Base Image Generator”.

Notes: Please ensure you have an active paid Google Gemini API plan to use all AI Base Image Generator features.

Here admin can see the following configuration below General Settings

• Possible Module – Dropdown to enable or disable extensions.
• Gemini API Key – Enter the Gemini Key
• Gemini Models – Enter the Gemini Model

Once configured, the admin needs to do it keep settings to apply changes.

Once setup is complete, admins can create AI images for existing products.

Navigate to the add/edit product page, click the Generate Image button from the Images and Videos section

Select the Image you want to generate

Select the following before creating an image: Age, Gender, Body Type, and Skin Color.

Click Add Images To Products to save an image, or Try again to produce new ones.

After saving the product, make sure the Magento cron is running to update and display the resulting image properly on the frontend.

Once the AI ​​image is created and saved, you can view it directly on the product page.

That’s all for Magento 2 AI Base Image Generator.

However, if you are still having issues, please add a ticket and let us know your views on making this module better Webkul.uvdesk.com

Udayveer Singh
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Udayveer is a dedicated Quality Analyst with expertise in Magento platform. Specializing in software testing for product information and product data management, it ensures the accuracy, performance, and functionality of eCommerce systems, drives flawless user experiences, and provides high-quality solutions for businesses.