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AI09- Ambala museum beginning

Where storyboards become suggestions, consistency becomes chaos, and creative control meets beautiful surrender

I started this project thinking I'd use AI as a simple tool—generate some backgrounds, maybe speed up the storyboarding process. What I discovered instead was something between collaboration and combat, where the machine kept offering alternatives I never asked for but couldn't ignore.

Storyboarding with @krea_ai . pic.twitter.com/Udc5Zim69A

— Cai (@shashrvacai) June 27, 2025

The Storyboard Rebellion

What began as straightforward storyboarding with Krea.ai quickly turned into something more interesting. The AI wasn't just executing my vision—it was interpreting, suggesting, sometimes completely derailing my carefully planned sequences. Each frame became a negotiation between what I intended and what the algorithm thought might work better.

more of realtime fun with @krea_ai pic.twitter.com/hOwWbJaHrG

— Cai (@shashrvacai) August 29, 2025

Sometimes the best creative partnerships are the ones where nobody's really in charge.

The process felt less like traditional animation planning and more like improvisational jazz. I'd input a scene description, get back three variations I hadn't considered, then spend an hour exploring tangents that had nothing to do with my original script. Productive procrastination at its finest.

 

Consistency: The Eternal Struggle

Anyone who's worked with AI art knows the consistency problem intimately. One frame your character is a warrior princess, the next they're a completely different person wearing similar clothes. I found myself drowning in options—dozens of variations that looked beautiful individually but refused to play nicely together as a cohesive sequence.

The Indian miniature painting style experiments were particularly stubborn. The AI would nail the aesthetic perfectly for one frame, then drift into something completely different for the next. It's like having a brilliant artist who suffers from selective amnesia every thirty seconds.

Unexpected Discoveries

But here's where it gets interesting: some of the AI's "mistakes" were better than my original ideas. Elements I never would have thought to include started showing up—architectural details, color palettes, compositional choices that elevated the entire project. The machine became an unwitting creative collaborator, offering suggestions disguised as technical glitches.

The background explorations especially surprised me. What started as utilitarian scene-setting turned into rich, textured environments that gave the animation depth I hadn't planned for. Sometimes asking for one thing and getting something completely different is exactly what a project needs.

The Treatment Evolution

Each iteration taught me something about working with AI as a creative partner rather than a simple tool. You can't approach it with the same control expectations as traditional animation software. Instead, you learn to guide, suggest, and harvest the most interesting elements from multiple generations.

The latest style transfer tests are getting closer to what we're aiming for—that sweet spot where the AI's interpretation enhances rather than fights the intended aesthetic. It's a process of training both the algorithm and myself to find common ground between human intention and machine possibility.




What's Next

This is clearly becoming a longer journey than anticipated. The project is evolving in real-time, shaped as much by the AI's unexpected contributions as by any original vision. Part 2 will dive into the actual animation process and how these experimental frames translate into moving sequences.

For now, I'm learning to embrace the chaos. When your creative partner is an algorithm with its own aesthetic opinions, the best strategy might be to stop fighting and start listening.

Part 2 coming soon, assuming the AI doesn't completely rewrite the script while I'm not looking. 


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