Image and video decision

Adobe Firefly

A capable engineer can reproduce a narrow Firefly-like workflow (prompt → generate → edit → export) using open models and standard cloud infra, but Adobe's integrations, brand, and packaged multi-model catalogue make the full paid product hard to match.

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You pay

$9.99/mo

$120/yr

Not verified against a pricing page.

You’d pay instead

$100one-off80 h to build

$300/mo12 h/mo upkeep

On cash alone, building overtakes the subscription at 31 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Adobe Firefly alternatives, with the arithmetic →

What a replacement has to do

  • Prompt -> run model(s) -> receive generated media -> basic editing tools -> export/store assets.

What it still won’t have

  • Adobe-brand integrations across Creative Cloud apps (Photoshop, Premiere, etc.)
  • Polished UX, presets, and product polish at scale
  • Branded trust and marketing reach
  • Centralized multi-provider model catalogue and licensing management
  • Enterprise support and SLAs

What remains hard

  • Integration maintenanceAll the best models, all in one place.
  • Brand trust"Creative Cloud lets me create effortlessly and allows me to focus on what's important."
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 31 seats.

Paid seatsseats

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal web app (React frontend, Node/Express backend, Postgres, S3-compatible storage) that provides: 1) a prompt form to submit text and optional image inputs, 2) a job queue that calls an open-source image/audio/video inference endpoint (self-hosted or third-party), 3) storage of generated assets and metadata, 4) simple in-browser editing (crop/trim/re-run), and 5) export/download and basic license tagging. Out of scope: reimplementing model training or matching Adobe UI polish and multi-provider catalogue. Include API error handling, input validation, basic unit tests for backend endpoints, and deployment scripts for a single GPU inference host plus a small cloud VM for the app.
How we checked4 sources · 3/3 runs agreed · evidence score 64

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • 3/3 assessment runs agreed+4
  • Evidence score64

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

! Price not confirmed on the page - this pricing page renders its price in the browser✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 2 moats quoted from the page