FluxBlack Forest Labs image model

FLUX.2 Pro. Photorealism with typography that holds.

Black Forest Labs' flagship renders images that pass for photographs and text that passes for design. The finisher for hero assets, packaging comps, and anything a client will zoom into.

  • Text to image
  • High-detail output
The model

FLUX.2 Pro is the lineup's quality ceiling for still images. Skin, fabric, glass, and light render with the kind of detail that survives a full-bleed crop, and its typography is the standout: headlines, labels, and UI text come out as set type, not melted approximations. Complex prompts with multiple subjects and specific staging are followed closely.

The natural Treza pattern is draft-then-finish: explore compositions on a flash-tier model at cents per try, then re-render the chosen direction on FLUX.2 Pro for the deliverable. In a pipeline that is two nodes and a swap, and the published API serves whichever quality tier the call asks for.

Photoreal detail

Materials, skin, and lighting that survive close inspection. Built for hero images and full-bleed placements.

Typography that sets, not smears

Headlines, packaging text, and interface copy render as legible, consistent type.

Complex scene control

Multiple subjects, specific staging, and detailed art direction are followed closely on the first pass.

Consistent style across a set

A well-specified prompt produces a coherent series, keeping campaign assets in one visual voice.

Prompt to result

What to make with FLUX.2 Pro

Real prompts, and what comes back. Every one runs in Treza chat or as a node on the canvas.

A cosmetics bottle on wet slate, studio softbox, label reads 'VELVET NO. 5'

A packaging comp with legible, placed type.

Editorial portrait of a chef in a steel kitchen, shallow depth, natural light

A magazine-grade image that holds at full size.

A billboard mock: sedan on a desert highway, headline 'GO FURTHER' top right

An ad comp with art-directed composition and copy.

A phone UI on screen in hand, coffee shop bokeh, interface text sharp

A device shot where the screen actually reads.

Three perfume bottles in a row, same lighting, labels A, B, and C

A consistent product family in one frame.

A cabin in snowfall at blue hour, window light, woodsmoke, photoreal

A mood image detailed enough to print.

Beyond one prompt

FLUX.2 Pro is one node on a canvas

Chain it with language, image, and video models, then publish the whole pipeline as an API.

  1. Step 01

    Draft the brief

    A language model node expands a one-line idea into a detailed, on-brand prompt before it ever reaches the model.

  2. Step 02

    Generate with FLUX.2 Pro

    Run variants in parallel, compare against other models on the same prompt, and keep every result in run history.

  3. Step 03

    Publish it as an API

    The pipeline becomes a versioned endpoint. Your product calls it with the typed /invoke API or any OpenAI SDK.

FAQ

FLUX.2 Pro, answered

What makes FLUX.2 Pro different from the Gemini image models?

Specialization. The Gemini flash models are built for speed, editing, and iteration. FLUX.2 Pro is built for the final asset: higher photoreal detail and the most reliable text rendering in the lineup. Many Treza pipelines draft on flash and finish on FLUX.

Can FLUX.2 Pro render readable text in images?

Yes, this is its signature strength. Headlines, labels, and short passages of type come out legible and consistently styled, which makes it the pick for packaging comps, ads, and posters.

Does FLUX.2 Pro edit existing images?

On Treza, FLUX.2 Pro runs text to image. For instruction-based edits of an existing image, use Gemini 2.5 or 3.1 Flash Image, or Seedream 4.5, then re-render finals on FLUX if needed.

How much does FLUX.2 Pro cost on Treza?

Treza uses prepaid credits with no subscription. Each image is charged at FLUX.2 Pro's rate from your balance, and only successful generations are charged. Credit packs start at $5 and never expire.

Can I call FLUX.2 Pro through an API?

Yes. Build a pipeline that uses FLUX.2 Pro and publish it as a versioned HTTP endpoint. Call the typed /invoke API from your product, or point any OpenAI SDK at the OpenAI-compatible endpoint. If a better model ships later, swap it on the node without changing the API your product calls.