AI Native Flow Case Study #8 – n8n – Automate Image Captions with AI for Visual Impact
🔑 AccessLevel
Free
🔗 Source
https://n8n.io/workflows/2418-easy-image-captioning-with-gemini-15-pro/
🛠️ Testing Environment
Self-hosted
🧠 LLMs Used
gemini-1.5-pro-latest
🤖 ModelType
Image to Text;
✅ IsFunctional
Yes
🚀 Performance Rating
Great
🌟 Expected Behaviour
Transform your image content creation process into a breeze! This advanced workflow, powered by the multimodal LLM Gemini 1.5 Pro, not only automates the task of adding captions to images but does so with unparalleled precision and creativity. Perfect for anyone looking to enhance their visual storytelling.
📝 Actual Behaviour
With this automation workflow solution, adding perfect captions to your images becomes not just efficient but also an art form. Experience the power of blending human creativity with machine intelligence to create compelling visual stories that stand out!
📊 Evaluation
AI Native: (9/10) This workflow demonstrates a seamless integration of automation and AI creativity, leveraging multimodal LLM technology to enhance efficiency and storytelling.
🔍 Workflow Breakdown
1️⃣ Import Image: Acquire and import a public image from website using the HTTP request node.
2️⃣ Resize Image: Ensure the image size is suitable for fast processing using the Edit image node, if necessary.
3️⃣ Generate Caption: Utilize the LLM node with the Gemini 1.5 Pro model to generate a corresponding title and description based on the image.
4️⃣ Position Caption: Calculate and overlay the generated caption text onto the original image using the code node.
5️⃣ Save Result: Save or upload the image with the added caption to Google Drive or another specified location.
Statement: Evaluation results are generated by AI, lack of data support, reference learning only.
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