FLUX 3 Image: Multimodal Image Generation and Editing on Models and API | RunComfy

Black Forest Labs / FLUX 3 Image#

FLUX 3 is Black Forest Labs' next unified model, built to learn from images, video, and audio inside one architecture. This page focuses on its picture-making side and previews what FLUX 3 Image will feel like in day-to-day work.

Note: FLUX 3 Image is coming soon. This page previews the experience while Black Forest Labs finalizes the public model and API.

FLUX 3 Image Highlights#

The headline of this release is a stronger set of core capabilities, and FLUX 3 Image puts five of them front and center:

• Image generation: turn a written prompt into a finished, high-fidelity picture across a wide span of subjects.
• Image editing: revise an image you already have inside the same model, adjusting, restyling, or extending it instead of starting from scratch.
• Complex-prompt understanding: per Black Forest Labs, FLUX 3 holds onto long, layered instructions far more reliably than earlier FLUX, so more of your brief lands in the final frame.
• Multilingual text rendering: spell accurate words and phrases directly inside the image, in more than one language.
• Styles, aspect ratios, and resolutions: cover everything from photoreal to illustration, in the shape and size each deliverable needs.

Reference images can guide any of these, steering identity, composition, and overall direction so results stay on-brand.

FLUX 3 Image Prompt & Reference Tips#

These tips help you get predictable output while FLUX 3 Image is previewed:

• Lead with the subject, then describe style, lighting, and composition in that order.
• Put any on-image text in quotes and keep it short so it renders cleanly.
• Name concrete materials and colors (matte ceramic, brushed steel, warm amber) instead of vague adjectives.
• Describe placement (top-left logo, centered product, wide margins) when layout matters.
• Fix the seed while iterating so changes come from the prompt, not randomness.
• Simplify the prompt if results feel cluttered or contradictory.

How FLUX 3 Image compares to other models#

The fairest way to compare FLUX 3 Image is on output quality and capability. Black Forest Labs reports that FLUX 3 already shows a significant jump over earlier FLUX in the two areas that decide real results, following complex prompts and rendering accurate, multilingual in-image text, and that it can both synthesize and edit across a wide range of styles, aspect ratios, and resolutions. The model is still in early access, so the notes below weigh those stated capabilities against what each model demonstrably does today.

FLUX 3 Image vs FLUX.2#

• Prompt fidelity: FLUX.2 already follows detailed prompts well, but Black Forest Labs positions FLUX 3 as a clear step up on long, complex instructions, which shows up as fewer dropped or misread details in the output.
• In-image text: legible text is a FLUX hallmark; FLUX 3 Image pushes toward high-accuracy, multilingual strings, so longer copy on packaging, posters, and UI mockups holds together better.
• References and editing: FLUX.2 [pro] renders up to about 4 megapixels and holds identity across as many as ten reference images; FLUX 3 Image keeps that multi-reference consistency and folds native editing into the same model.
• Bottom line: FLUX.2 is the proven choice today; FLUX 3 Image is the quality upgrade once its public endpoint lands.

FLUX 3 Image vs Google Imagen 3#

• Prompt adherence and text: both aim for tight prompt following and clean text; FLUX 3 Image's pitch is its measured gain in complex-prompt handling and high-accuracy multilingual text, so it should hold up on long strings, numbers, and product names, not just short labels.
• Editing and references: it edits existing images and preserves identity from references, keeping a bottle's cap, label, and material intact across variants, where Imagen separates its generation and customization models.
• Output range: it spans a wide spread of styles, aspect ratios, and resolutions from one model, which simplifies producing a full campaign from a single tool.

FLUX 3 Image vs Midjourney#

• Aesthetic vs. control: Midjourney is prized for striking, stylized looks; FLUX 3 Image is built for prompt-faithful, controllable output where the brief, not the model's default taste, drives the result.
• Text and layout: stylized models often warp longer text, whereas it targets legible typography and deliberate placement, which matters for packaging, ads, and UI.
• Editing and consistency: FLUX 3 Image edits existing frames and locks identity through references, so a product or character stays recognizable across a set rather than drifting shot to shot.

FLUX 3 Image editions and the wider FLUX 3 AI family#

Black Forest Labs is rolling FLUX 3 AI out as one multimodal foundation with several editions, each released in phases after its own early-access period. Based on the official launch plan:

• FLUX 3 Image: image synthesis and editing through APIs and private weight access, the experience previewed on this page.
• FLUX 3 Video: video and audio generation and editing, also delivered through APIs and private weight access.
• FLUX 3 Action (FLUX-mimic): action prediction for robotics, built with partners such as mimic robotics and already tested on production lines at Audi.
• FLUX 3 Dev: an open-weight multimodal backbone spanning image, video, and audio generation plus action prediction, for teams that want to run and adapt the model themselves.

Black Forest Labs has confirmed open weights are planned, and once the FLUX 3 Dev backbone is available, a community FLUX 3 LoRA workflow, including FLUX 3 dev LoRA fine-tuning for custom styles, characters, and brand looks, is the natural next step, mirroring the large LoRA ecosystem that grew around earlier FLUX releases.

For most production teams, FLUX 3 Image will cover day-to-day generation, while FLUX 3 Dev and FLUX 3 dev LoRA open the door to self-hosted customization.

FLUX 3 Image Official Resources#

• Black Forest Labs

In short, FLUX 3 Image is coming soon on RunComfy: one multimodal foundation that turns prompts and reference visuals into high-fidelity images with readable typography and precise layout control.