Creative AI Agents: Open Tools for Collaborative Media Creation

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AI doesn’t have to replace human creativity - it can enhance it. In this session, we explore how to build AI agents that act as collaborators in creative workflows, from visual design to multimedia storytelling. You’ll learn how to architect systems that support ideation, iteration, and refinement alongside human input. 

We’ll dive into how the ReAct agent framework can be tailored for creative tasks, enabling intelligent planning and feedback-driven media generation. Learn to integrate open-source tools like Stable Diffusion, Flux, LoRAs, and IPAdapters to turn creative briefs into coherent, high-quality visual outputs.

But creating is only half the battle, we’ll also show how to build effective feedback loops using techniques like aesthetic scoring and user-in-the-loop editing to improve outputs in real time. Expect hands-on code, real-world examples, and practical takeaways to bring human-AI co-creation to life in your own design, content, or media pipeline.

Key Takeaways:

  • Learn how to build AI agents that enhance and not replaces human creativity in media workflows.
  • Explore how to adapt ReAct-style agent frameworks for iterative, creative tasks like visual design.
  • Integrate open-source models like Stable Diffusion, LoRAs, and IPAdapters for generative media creation.
  • Design feedback loops with tools like aesthetic scoring to enable seamless human-AI co-creation.

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