Model Comparison

Flux Kontext vs Flux Pro: Editing vs Generation

· 1 min read

Verdict

Flux Pro is for generating new images from text prompts. Flux Kontext is for editing existing images with context awareness. Different tools for different tasks — both available on Maginary.

TL;DR

These aren’t competitors — they’re complementary tools in the Flux ecosystem. Flux Pro is for generating new images from text prompts. Flux Kontext is for editing existing images with contextual understanding. Use Pro to create, Kontext to refine.

Flux Pro 2.0

  • Purpose: Text-to-image generation
  • Strength: Frontier-quality outputs, excellent prompt adherence
  • Use case: Creating new images from scratch

Flux Kontext Dev

  • Purpose: Image editing with context
  • Strength: Understands existing image content, applies edits coherently
  • Use case: Modifying existing images (style changes, element additions, refinements)

When to Use Each

TaskModel
Generate new image from textFlux Pro
Edit/modify existing imageFlux Kontext
Change style of existing imageFlux Kontext
Create variationsEither (or Flux Redux)
Inpainting/outpaintingFlux Fill Pro

Both on Maginary

Maginary automatically selects the right Flux variant based on your workflow. Text-to-image uses Pro, image-to-image uses Kontext, inpainting uses Fill. One clean, streamlined interface handles the routing — no need to juggle separate tools.

What is Maginary?

Maginary is an AI image and video generation platform that gives you access to multiple frontier models — Flux Pro, Ideogram, Recraft, Google Imagen, Kling, Sora, and more — through a single interface and API.

  • Multi-model: Pick the best model for each job, or let Maginary choose
  • Full editing pipeline: Generate → vary → upscale → zoom out → pan → video
  • API-first: Full REST API for developers and automation
  • No forced subscriptions: Pay-per-use credits, transparent pricing
  • Prompt understanding: Works in any language, infers your intent without over-embellishing
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