The problem

Generating AI imagery for stories has a fundamental coherence problem: every frame produces a different person. Without character consistency, you can generate "a girl walking down a street" twenty times and get twenty different girls. That's not storytelling — that's a slideshow.

Architecture

Interactive system view

See the product from purpose to implementation.

Follow the work, then switch views when you want the practical answer: who it is for and what it is built with.

Flow pausedStep 01 / 05

Step 01 of 05

Use PuLID face-swap (fal.ai) as…

Use PuLID face-swap (fal.ai) as the core mechanism — generate the scene, then face-swap the consistent character in.

Full system map

The grouped dependency view stays visible so the infrastructure is readable at a glance.

System map

How the pieces connect

← read left to right

Diagram · loads on scroll

The AI Adapter is the architectural keystone — every storybook page, comic panel, and video clip flows through a Gemini-primary, Kie.AI-fallback chain guarded by a circuit breaker, so a Gemini rate-limit, content-block, or outage transparently retries on Kie's Veo/Flux without the user seeing failover. Async paths (Video Tale generation, Razorpay subscriptions) close the loop via HMAC-signed webhooks that grant credits and stitch video URLs back into the same Firestore documents the UI is already reading — so the page just re-renders when the work finishes, no polling protocol needed.

Outcome

Live and monetised at cinematictale.com.
Real users generating real stories with consistent characters.

Lessons learned

Character consistency is the leap from "AI image generator" to "AI storytelling." It's the entire product.
Subscription requires bulletproof auth. Razorpay integration is straightforward; the hard part is handling the edge cases (cancellation mid-cycle, plan changes, payment failures).
Marketing is a system, not an afterthought. The 7-phase playbook turned launch from "hit publish and pray" into a deliberate sequence.