How FLORA puts every new model on one canvas with fal

Industry:
Creative Software & Design
Use-case:
Generative AI infrastructure for a creative canvas that combines image, video, 3D, and audio models
Results:
One API for frontier image, video, 3D, and audio models, with early access ahead of launches, so a small team can offer creative teams every model without operating any of them.

FLORA is the creative workspace for design teams: an AI canvas that puts every model on one canvas, from first concept to finished campaign. Teams from Pentagram to Lionsgate use it to turn a single concept into hundreds of production-grade assets.

Customer Highlights
140+
image, video, 3D, and audio models used through fal
Early access
New models integrated ahead of public launch
99.7%
requests completed without a server-side error (30 days)
Within a day
Time to add a new model to the canvas, for FLORA’s most-used new models

The Challenge

FLORA's promise is every model on one canvas, so the canvas is only as good as the models on it and how reliably they run. A single workflow can move from an image model to a video model to a 3D model, and new ones launch every week. In the end, FLORA's customers care about two things: the quality of the output and how easy it is to produce.

“A lot of our customers don't actually care about the model. What they care about is that it works and looks great.”
Orpheas Kofinakos, ML Engineer, FLORA

The Solution

FLORA runs more than 140 image, video, 3D, and audio models through fal's API. Early access, which gives FLORA access to new models on fal's API before their public release, lets the team wire them into the canvas ahead of time, so they are ready for FLORA's users at launch. A designer can start a concept in one model, extend it into video with another, and turn it into a 3D asset without leaving the canvas, and FLORA's engineers spend their time on the canvas, workflows, and tools that creative teams pay for rather than on running models.

“We've built a lot of trust over the past year. We can rely on fal.”
Alec Jo, Head of Applied AI, FLORA

Over the 30 days to October 19, 99.7% of FLORA's requests to fal completed without a server-side error, across more than 970,000 generations.

Customer Highlights
Bria needed to bring new models to market faster while expanding developer adoption
Bria partnered with fal in 2024 to make its models accessible to developers through fal's inference infrastructure and model marketplace. Today, Bria's engineers can take a model from research-ready to publicly available in days rather than weeks, without managing the underlying GPU infrastructure.
How VEED Brings Its Own Models to Developers with fal
VEED deploys its talking-video models as apps on fal Serverless, which runs them for the VEED editor and lists them in fal’s model gallery the day VEED announces them. Fourteen VEED endpoints are live on fal today.
AutoHDR
edits 25% of US real estate listings on fal Serverless.
AutoHDR’s editing models run on fal Serverless, where capacity follows the morning rush of shoots. Photographers get edited listing photos back in about 15 minutes, and a small team ships new versions as deployments, not infrastructure projects.
Kotoba
ships one Docker image, and fal scales its realtime voice models with demand
Kotoba deploys the same Docker image it runs on its own cloud, with a thin wrapper and no fal-specific fork of its serving code. fal scales each Koto model from one to ten H100s as conversations come and go, and the same deployment lists the models as Partner models.

Ready to build with generative media?

Select option
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.