Overview
Generate and narrate creative stories from images using AI
Transforms visual art into narrative storytelling and spoken word using multimodal AI.
📋 Pipeline Flow:
-
Image Input: Any image (artwork, photo, scene, object)
-
Story Generation: Vision-capable LLM analyzes the image and creates a creative short story based on visual elements, emotions, and artistic themes
-
Text Output: Literary description capturing the essence and narrative of the image
-
Audio Narration: Text-to-speech converts the story into spoken word audio
💡 Key Features:
Multimodal AI: Combines vision (image analysis) and language (story generation)Creative interpretation: Goes beyond description to generate original narrativesDual outputs: Both text story and audio narrationModel flexibility: Works with any vision-capable LLM and TTS service
⚙️ Customization:
Agent prompts to try:
“Describe this image as if you’re a museum curator”“Write a poem inspired by this image”“Create a backstory for what’s happening in this scene”“Explain the emotions and symbolism in this artwork”“Tell a children’s story based on this picture”
Vision model options:
OpenAI: GPT-4oAnthropic: Claude 3 (Opus, Sonnet, Haiku)Local: LLaVA, Qwen-VL via OllamaGoogle: Gemini Pro Vision
TTS provider options:
OpenAI TTS (multiple voices and speeds)ElevenLabs (high-quality, customizable voices)Local TTS models via Coqui or Bark
🎯 Use Cases:
Art interpretation and educationAccessibility (converting visual content to audio)Creative writing inspirationStorytelling for children’s booksSocial media content generationVisual art documentationMuseum audio guides
Tags
start, multimodal
Workflow Diagram
How to Use
- Open NodeTool and create a new workflow
- Import this workflow from the examples gallery or build it manually following the diagram above
- Configure the input nodes with your data
- Run the workflow to see results
Related Workflows
Browse other workflow examples to discover more capabilities.