AISVIT / AI Image / Image to Image

FLUX 2 Flex | Multi-Reference AI Image Editing and Image to Image

Edit photos and design assets with FLUX 2 Flex using prompt-based image-to-image controls. Combine references, adjust layout, replace text, and refine scenes with stronger structure retention.

About this model

FLUX 2 Flex is a strong text-to-image and image-to-image model for poster work, UI-like layouts, branded graphics, and multi-reference edits when you want more control over prompt adherence, step count, and output size.

When is this model useful?

FLUX 2 Flex is worth choosing when typography, layout structure, and controlled iteration matter more than a one-click minimal workflow. It gives you more manual control than lighter models while staying practical for day-to-day production.

Best fit tasks

  • Posters, infographics, menus, slides, packaging fronts, and other visuals where readable text inside the image matters.
  • UI mockups, dashboard scenes, product cards, and branded layouts that need a more structured composition.
  • Image-to-image edits where you want to keep the main scene logic but update text, styling, composition, or specific design elements.
  • Multi-reference work for combining several product shots, brand references, layout examples, or mood images into one result.
  • Creative workflows where you want to tune speed versus detail with explicit steps and guidance instead of a single quality preset.

Main advantages

  • It is stronger than many image models when the output includes visible text, labels, captions, or layout-driven design elements.
  • It supports both text-to-image and image-to-image, so one model can cover concepting, remixing, and controlled revisions.
  • Guidance and step controls make it easier to choose between faster iteration and more polished output.
  • It can work with multiple input images, which is useful for compositing, style transfer, and structured reference-based editing.
  • The model exposes flexible aspect ratio, resolution, and custom width-height settings, which helps teams target specific asset sizes.

Limitations to know

  • It still creates static images, not videos, layered design files, or true editable layout documents.
  • Text rendering is stronger than average, but spelling, punctuation, brand copy, and tiny typography should still be proofread before publishing.
  • This workflow does not use a negative prompt field, so the safest way to steer output is to clearly describe what you do want.
  • Very large or highly detailed renders can cost more because AISVIT prices this model by output megapixels.
  • It is not a mask-based editor, so precise local edits still need to be described through prompts and reference images.

How to use this model

The practical workflow is to start with a clean prompt, choose the right output size first, and then use Steps and Guidance only when you need a more controlled tradeoff between speed and polish.

Simple workflow

  1. Write a direct prompt that describes the scene, the key subject, the style, and any exact wording that must appear in the image. If text matters, keep it short and explicit.
  2. Choose the aspect ratio for the final use case. Standard presets are good for most work, while custom width and height help when the layout must fit a specific canvas.
  3. Choose Resolution when you want a preset megapixel target. If you switch to a custom aspect ratio, width and height become the main size controls.
  4. For editing, upload one or more source images and describe exactly what should change and what must stay stable. This model can use multiple references in a single run.
  5. Adjust Guidance when you want to change how literally the model follows the prompt. Lower values usually allow more freedom, while higher values keep the result closer to your instruction.

Supported inputs

  • Required: a text prompt.
  • Optional: one or more input images for image-to-image editing and multi-reference composition.
  • The model works well with JPG, PNG, WEBP, and other common image uploads supported by Replicate.
  • For best structure retention in image-to-image, keep the prompt explicit about what must remain unchanged.

What you get

  • One generated image per run in the current AISVIT workflow.
  • PNG, JPG, or WEBP output.
  • Preset megapixel options such as 0.5 MP, 1 MP, 2 MP, and 4 MP, plus custom width and height.
  • Both text-to-image and image-to-image generation in the same model page.

Other workflows for this model

More Image to Image models

AISVIT pricing details

  • 0.5 MP costs 3 credits.
  • 1 MP costs 6 credits.
  • 2 MP costs 12 credits.
  • 4 MP costs 24 credits.
  • Custom width and height are converted to megapixels and priced with the same 6 credits per MP rule.