AI-Powered Product Image Metadata Generation
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Automate the generation of structured metadata for product images using AI, in both English and Chinese.
About This Workflow
This workflow leverages AI (specifically OpenAI's GPT models) to analyze product images and generate descriptive metadata. It retrieves images from Google Drive, analyzes their visual style and emotional context, and then uses this information to create detailed prompts for AI image generation. The workflow is designed to produce structured metadata suitable for marketing and advertising purposes, enabling the creation of effective ad campaigns.
Key Features
- Google Drive Integration: Fetches product images from specified Google Drive folders.
- AI Image Analysis: Uses OpenAI's GPT models to understand the visual style, emotional triggers, and core elements of product images.
- Prompt Engineering: Generates sophisticated prompts for AI image generation, focusing on ad design principles and emotional resonance.
- Metadata Generation: Creates structured metadata in both English and Chinese, including detailed ad prompts.
- AI Image Generation: (Partially implemented) Utilizes an HTTP request to OpenAI's API to generate images based on the created prompts.
- Batch Processing & Waiting: Implements batching and waiting mechanisms for efficient handling of multiple image generations.
- File Conversion & Storage: Converts generated image data into files and uploads them to Google Drive.
How To Use
- Trigger: Start the workflow by clicking 'Test workflow'.
- Image Retrieval: The workflow fetches files from a designated Google Drive folder (
1NQ_9HXkMrjm_DPZENAmwRo0JJkvQm8BU). - Image Analysis (Style & Elements): The first OpenAI node (
OpenAI) analyzes the visual style of the image to extract elements for ad reproduction. - Image Analysis (Emotions & Product): The second OpenAI node (
OpenAI1) identifies core emotions and the main product within the image. - Prompt Refinement & Combination:
OpenAI2takes the analysis from the previous steps and combines it with the desired ad style to create a refined input for prompt generation. - AI Prompt Generation: The
AI prompt agentnode uses the combined information and a predefined prompt template to generate 10 detailed image ad prompts. This node also uses theOpenAI Chat Model. - Output Parsing: The
Structured Output Parsernode formats the AI's output into a structured format. - Item Splitting:
Split Outseparates the generated prompts for individual processing. - Looping and Waiting:
Loop Over Items1iterates through each prompt, andWaitintroduces a delay between API calls to manage rate limits. - AI Image Generation (HTTP Request):
HTTP Request1calls the OpenAI image generation API with each prompt to create new images. - File Conversion:
Convert to Fileconverts the generated image data into a PNG file. - Image Storage:
Google Drive4uploads the converted image file to a specified Google Drive folder (1V_USzVT-v-6LIjk3HPd0nlr2vnv4nJAr).
Apps Used
Workflow JSON
{
"id": "1904b44a-d5cb-48e4-a3e6-40780c0dacb0",
"name": "AI-Powered Product Image Metadata Generation",
"nodes": 27,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 1904b44a-d5cb...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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