FLUX 3 AI

Most image generators stop at the export button. Flux 3 AI extends the session: you generate from a text prompt or reference image, compare model outputs in the same interface, edit the strongest result with natural-language instructions — relighting, background replacement, area refinement — and then carry a still into a video clip without starting a new project. The workspace covers text-to-image, AI image editing, text-to-video, image-to-video, and video editing, with aspect ratio, resolution, and model selection exposed at each step.

The model comparison layer is the feature that separates this from a single-model wrapper. The vendor lists several distinct models — Flux 3 Fast for speed, Pro for quality, plus third-party models including Seedream, GPT Image 2, and Google Nano Banana variants — available inside the same session. You run them against the same prompt and pick a direction before investing edit credits, which reduces the cost of finding a usable starting point.

Flux 3 AI fits individual creators and small production teams who generate images and short video clips for campaigns, social, or concept work and want to avoid stitching together four separate tools. It does not fit engineering teams who need to automate generation at scale, embed outputs into a product, or self-host for data residency reasons — there is no API and no self-hosted option, so every request routes through the vendor’s infrastructure. High-volume studios will find the credit model expensive relative to API-direct alternatives.

Pricing is credit-based and paid-only, with Fast image generation costing 3 credits per image and higher-resolution or Pro-mode outputs consuming more. One-time credit purchases are available alongside subscriptions, per the vendor’s pricing page. There is no offline mode, no local runner, and no documented API surface for external integration.