Andrew Adams · Co-Founder & Operations at Wireflow · Flora AI API
Searching the Flora AI API usually means you want images your code can order on demand.
That is what this page's workflow does: a Creative Prompt wired into Nano Banana Lite, published as one REST endpoint you call.
Free to build · no credit card
An honest answer to the Flora AI API search
Flora runs its own API for its own models and techniques. If you specifically need Flora, that API is the right tool, and Wireflow will not pretend otherwise: it does not host or resell Flora's models, and the two platforms are not affiliated.
What most teams typing this search actually need is programmatic image generation they control: a strong model, callable from code, swappable when a better one ships. That is what the workflow above is. A Creative Prompt wired into Nano Banana Lite makes a working AI image generator, and publishing it turns the graph into the API your product calls. You iterate on the canvas; your codebase keeps one URL.
What the image workflow API can do
90+ hosted models
Nano Banana Lite, Flux 2 Pro, Seedream V4.5, GPT Image 2, Recraft V4, and Ideogram V4 all run as canvas nodes.
Reference image port
Nano Banana Lite takes an optional image beside the prompt, so products and characters stay consistent.
Chained post-processing
Wire a Topaz Upscale or a background remover after the model; the whole chain answers one API call.
Batch over a feed
Loop one workflow across a CSV or product feed and render every row through the same graph.
Canvas-first testing
Dial in prompts and settings visually, then publish; the endpoint serves exactly the graph you tested.
REST and MCP built in
Every published workflow is an endpoint and an MCP tool with typed inputs and asset URLs back.
Why the model node matters more than the model
Image models age in months. The model that wins on photorealism today loses to a release that ships next quarter, and an integration welded to one vendor's API inherits that decay. On a canvas the model is one node in a graph: unplug Nano Banana Lite, drop in Flux 2 or GPT Image 2, run the same prompt, and keep whichever wins.
Reproducibility is what makes the swap safe. Workflows are versioned server-side, so the five hundredth render walks the same graph as the first, and a model change is a deliberate new version instead of silent drift. The honest tradeoff: every generation spends credits, so a batch over a large feed is a budgeting decision, and building the graph itself costs nothing.
When Flora's own API is the better pick
If your product depends on Flora's specific models or the technique tooling built around them, use Flora's API; those live only there, and no canvas layer changes that. Wireflow also is not a wrapper that proxies other vendors' private APIs, and it does not run offline or support custom Python nodes.
Wireflow earns its place when the job is bigger than one fixed model: when you want to test prompts visually before they hit production, chain generation into upscaling or background removal, keep one endpoint while models rotate underneath it, or hand the whole workflow to an agent as an MCP tool. If that is the shape of your problem, the two-node flow above is the smallest honest start.
More Than Just Flora AI API
A prompt in, an image out
One Creative Prompt wired into a Nano Banana Lite node at 16:9, the smallest useful image API. Publish it and you have a working AI image generator your code calls.
Swap the model, keep the endpoint
The model is a node, not a vendor contract. Swap Nano Banana Lite for Flux 2 Pro or GPT Image 2 on the AI canvas with a REST API and your URL never changes.
Reference images are input ports
The Nano Banana Lite node has an optional image port beside its prompt. Feed a product shot through it to hold the object, the shape of image editing over an API.
One flow, a whole catalog
Call the published endpoint once per feed row and each render walks the same graph. That is batch image generation via API when runs are reproducible.
Grow the graph, not your client code
Need more than raw renders? Add a Topaz Upscale or background-removal node and republish. Your app still makes one call, the point of a programmatic image platform.
Flora api Workflows
No Code Required
API & Batch Processing
FAQs
Running Flora's hosted creative models programmatically: developers send inputs over HTTP and get generated media back. If you need those specific models, use Flora directly; Wireflow is a separate platform and does not host them.
More From Wireflow
Written by
Andrew Adams · Co-Founder & Operations at Wireflow
Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.
Open the two-node flow behind this page
It is live on the canvas: a Creative Prompt wired into Nano Banana Lite at 16:9. Run a prompt, watch the render land on the node, then publish your own copy as the endpoint your code calls. Building is free; generations are pay per run.