Generate Multilingual Image Captions and Overlay

• Multimodal AI: Utilizes Google Gemini for image understanding and caption generation.
• Structured Output: Employs outputParserStructured to ensure consistent caption formatting.
• Image Manipulation: Uses the editImage node for resizing, drawing backgrounds, and applying text overlays.
• Dynamic Positioning: A code node calculates optimal text placement based on image dimensions and caption length.
• Extensible for Multilingual: The core logic can be adapted to generate captions in different languages by adjusting the AI prompts and potentially the output parser schema.

1. Import Image: The Get Image node fetches an image from a URL. Replace this with your desired image source.
2. Prepare for AI: The Resize For AI node ensures the image is in a suitable format for the AI model.
3. Generate Caption (English): The Image Captioning Agent node, configured with Google Gemini Chat Model and Structured Output Parser, prompts Gemini to generate a caption with a title and text. The prompt is carefully crafted to guide the AI's output format.
4. Calculate Caption Position: The Calculate Positioning code node determines the ideal position for the caption on the image, considering factors like image size, font size, and caption length.
5. Merge Image and Caption Data: The Merge Image & Caption and Merge Caption & Positions nodes combine the original image data with the generated caption and its calculated position.
6. Apply Caption to Image: The Apply Caption to Image node draws a background rectangle and then overlays the generated caption onto the image.

To adapt for Chinese captions:

• Modify the messages in the Image Captioning Agent node to instruct Gemini to generate captions in Chinese.
• You may need to adjust the jsonSchemaExample in the Structured Output Parser if the Chinese output structure differs significantly, or if you want to translate the keys.
• Ensure your Apply Caption to Image node is configured with a font that supports Chinese characters.