ManualTrigger Automate

This workflow is ideal for:

• Content Creators: Those looking to enhance their images with AI-generated captions for social media or blogs.
• Marketers: Professionals aiming to create engaging content that captures audience attention with visual storytelling.
• Photographers: Individuals wanting to add context to their images, making them more appealing for publications or portfolios.
• Developers: Tech enthusiasts interested in integrating AI capabilities into their applications or services.

This workflow addresses the challenge of generating meaningful captions for images using AI. It automates the process of creating engaging and contextually relevant captions, saving time and enhancing the visual appeal of images. By leveraging advanced AI models like Google's Gemini, it ensures captions are not only relevant but also creative, which can significantly improve audience engagement.

1. Manual Trigger: The workflow begins when the user clicks ‘Test workflow’.
2. Get Image: An image is fetched from a specified URL (e.g., Pexels) using an HTTP request.
3. Resize Image: The image is resized to 512x512 pixels for optimal processing by the AI model.
4. Get Image Info: Metadata about the image is retrieved to inform subsequent steps.
5. Image Captioning: The resized image is sent to the Image Captioning Agent, which uses a prompt to generate a caption based on the image content.
6. Structured Output Parsing: The output from the AI model is parsed to extract the caption title and text.
7. Calculate Positioning: A Code node calculates the optimal position for overlaying the caption on the image based on its size and content.
8. Merge Image & Caption: The image and caption data are merged to prepare for the final overlay.
9. Apply Caption to Image: Using the Edit Image node, the caption is drawn onto the image at the calculated position.
10. Output: The final image with the caption is ready for use, enhancing its appeal and context.