ManualTrigger Automate

ManualTrigger Automate enables users to effortlessly generate captions for images using advanced AI models like Google Gemini. By integrating image editing features, this workflow overlays captions onto images, making it ideal for publications, copyrights, or watermarks. Simply trigger the workflow to import an image, generate a fitting caption, and apply it seamlessly, enhancing visual content with minimal effort.

7/8/2025
16 nodes
Complex
manualcomplexlangchaineditimagesticky noteadvancedapiintegration
Categories:
Complex WorkflowManual TriggeredCreative Design Automation
Integrations:
LangChainEditImageSticky Note

Target Audience

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.

Problem Solved

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.

Workflow Steps

  • 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.

    • Customization Guide

    To customize this workflow:
    - Change Image Source: Modify the URL in the Get Image node to fetch images from different sources or use user-uploaded images.
    - Adjust Captioning Prompts: Edit the text in the Image Captioning Agent to change the style or focus of the generated captions.
    - Modify Image Size: Alter the dimensions in the Resize For AI node to fit different requirements or platforms.
    - Customize Caption Positioning: Adjust the calculations in the Calculate Positioning node to change where the caption appears on the image.
    - Change Font and Colors: In the Apply Caption to Image node, modify the font type, size, and colors to match your branding or aesthetic preferences.