Creative AI

AI Image & Video Studio

A creative studio to generate, edit and upscale images and short video at scale — with templates, batch runs and an API.

ReactPythonStable DiffusionFastAPIS3

At a glance

What this shipped

The numbers that mattered to the client — measured before and after.

Batch
Asset production
API-first
Access
Image + video
Output
Templated
Brand control

The problem

What we were called in to fix

A content team was hand-crafting every visual across disparate tools, hitting a wall on volume and consistency, with no way to let non-designers produce on-brand assets.

Off-the-shelf tools were either too limited, too expensive at volume, or impossible to slot into their pipeline.

Our approach

How we actually built it

No magic — just the right architectural calls in the right order.

We built a unified studio over Stable Diffusion and RunwayML for generation, editing and upscaling, with reusable prompt and style templates that keep output on-brand.

A batch pipeline processes hundreds of assets in the background via a job queue, so large runs don't block the interface.

An API exposes the same capabilities to their other systems, so generation can be triggered programmatically.

Storage, CDN delivery and asset versioning are built in, so nothing gets lost and everything loads fast.

The outcome

What changed for the client

Non-designers now produce on-brand assets from templates in minutes.

Batch processing turned day-long asset runs into background jobs.

The API let the team wire generation directly into their existing content workflow.

Tech stack

Every meaningful piece

ReactPythonFastAPIStable DiffusionRunwayMLS3CloudFrontRedis

We don't do generic case-study writeups. Want the unredacted version with names, screenshots and architecture diagrams? We share those on a call.

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