
krea2.org is a browser image-generation workspace that runs several third-party models side by side, including Krea 2 tiers, FLUX.2, GPT Image 2, Nano Banana and Seedream 5.0, with reference uploads, six aspect ratios and live model switching.
Adobe Firefly generates images, video, and audio from models trained on licensed Adobe Stock and public domain content, with Content Credentials on every output, Firefly Boards for ideation, Custom Models for brand style, and third-party partner models alongside Adobe's own.
Adobe Firefly is Adobe's generative AI product, covering images, video, and audio. Its distinguishing claim is not raw quality but provenance: the models are trained on licensed Adobe Stock content and public domain material.
That choice is deliberate and commercially motivated. For agencies, brands, and anyone whose legal team asks where the training data came from, it is often the only answer that clears review.
Firefly has also grown into something broader — a place to run third-party models alongside Adobe's own, ideate on a shared canvas, and train a model on your own brand imagery. This review covers all of it.
| Maker | Adobe |
|---|---|
| Category | Generative AI for images, video, and audio |
| Training data | Licensed Adobe Stock content and public domain material where copyright has expired |
| User content | Adobe states it does not train on users' personal or generated content |
| Provenance | Content Credentials attached to Firefly outputs |
| Ideation surface | Firefly Boards, an infinite collaborative canvas |
| Brand training | Firefly Custom Models, trained on 10 to 30 of your own reference images |
| Third-party models | Partner models available across Firefly and in Express, Illustrator, and Photoshop |
| Video | Firefly Video Model generating 1080p clips from text or images, with camera controls |
| Model choice | Adobe cites 30+ AI models available in the app |
Adobe states that Firefly's models are trained on licensed Adobe Stock content and public domain material where copyright has expired, and that it does not train on users' personal or generated content.
This matters in a specific and practical way. Many organisations cannot use generative imagery whose provenance is unclear, because the exposure sits with them rather than with the model vendor.
For those buyers the comparison is not "which model makes the nicest picture" but "which model can we actually ship". Firefly frequently wins that comparison by default rather than on merit.
Firefly outputs carry Content Credentials — embedded information about how a file was created or edited and who was involved.
As synthetic media becomes ordinary, being able to demonstrate the origin of an asset shifts from a nicety to a requirement, particularly in journalism, advertising, and regulated communication.
It is worth understanding that credentials travel with the file and can be stripped, so they evidence provenance rather than enforce it. Still, having them by default is materially better than having nothing.
Boards is an infinite collaborative canvas built for the earliest stage of creative work — brainstorming, exploring directions, and iterating on many variations at once with colleagues.
You generate and edit images and video directly on the canvas, then arrange them into mood boards or storyboards. That is a meaningfully different activity from generating one finished asset.
For agencies and in-house teams, this is where Firefly fits most naturally. Concept exploration is high-volume, low-stakes work, which is exactly what generative tools are best at.
Firefly Custom Models, launched in public beta in March 2026, let you train a model on 10 to 30 of your own reference images so output matches a specific visual identity.
This addresses the fundamental problem with generative imagery in brand work: a model trained on everything produces work that looks like everything. A brand needs the opposite.
Custom Models can be used inside Boards alongside Adobe and partner models, so exploration and brand-consistent generation happen in one place rather than in separate workflows.
Firefly now hosts third-party models alongside Adobe's own, available across image and video generation, the Firefly video editor, Boards, and Firefly Graph — and inside Adobe Express, Illustrator, and Photoshop.
This is a significant strategic shift. Rather than insisting its own models are best, Adobe is offering governed access to whichever model suits the task, within enterprise creative production workflows.
The important caveat is that partner models come with their own training data and terms. Firefly's commercial safety claim covers Adobe's models, so check what applies before assuming the guarantee extends across everything in the picker.
The Firefly Video Model generates 1080p clips from text prompts or images, with camera controls for framing and movement, positioned as production-ready and IP-friendly.
Audio generation covers sound and speech, which completes the set for anyone assembling a short piece without licensing music or booking a voice artist. For a social cut or an internal explainer, that removes the two slowest steps in the process.
The deeper advantage is integration. Firefly generation appears inside Photoshop, Illustrator, and Express, so output lands in the tool where the actual work is finished rather than as a file to import.
Raw output quality is the honest weak point. Firefly's image and video generation is competent but generally trails the strongest dedicated models, particularly on photorealism and complex scenes.
The licensed training data is part of the reason. A model trained on a curated, cleared corpus has less to work from than one trained on everything, and that shows up as a narrower range.
Credit-based limits also apply across generation, and heavy video work consumes them quickly, which makes usage harder to predict than a flat subscription suggests.
For creators who care only about the best possible image and carry no legal constraints, Firefly is rarely the first choice.
Decide on constraints first. If your work must clear a legal review, Firefly's provenance story is the deciding factor and output quality is secondary — you cannot ship the better image you are not allowed to use.
If you have no such constraints, evaluate it on quality alongside the alternatives, and use Boards and partner models to compare within one workspace rather than across several subscriptions.
For brand work at volume, invest in a Custom Model early. Twenty reference images is a small effort against the alternative of correcting generic output indefinitely.
Adobe Firefly is the safest generative AI option for commercial work, and Boards, Custom Models, and partner model access have turned it from a defensive choice into a genuinely capable creative platform.
Choose it if provenance matters, if you work inside Adobe's applications, or if you need brand-consistent generation at volume. Choose a dedicated model if output quality is the only criterion and nobody is going to ask where the training data came from.
Check adobe.com for current plans and credit allowances, and confirm which terms apply to partner models before relying on the commercial safety claim across all of them.
Image, video, and audio generation from commercially safe Adobe models
Content Credentials embedded in Firefly outputs
Firefly Boards — an infinite canvas for ideation and storyboarding
Custom Models trained on 10 to 30 of your own reference images
Third-party partner models available alongside Adobe's own
Firefly Video Model producing 1080p clips with camera controls
Generation built into Photoshop, Illustrator, and Adobe Express
Adobe Firefly has an AInexfinder Editor Score of 4.4/5.
AInexfinder does not list plan prices or billing details. For current pricing, plans, and trials, visit the official Adobe Firefly website.
Visit official website for pricingVendor pricing, credits, and billing policies change over time. Always confirm on the official site before you buy.
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Assigned reviewer
Daniel ReedSenior AI Tools Reviewer
Daniel reviews AI tools the slow way — by actually using them on real projects. His reviews cover what works, what breaks, and who each tool is genuinely a good fit for.
Daniel and the AInexfinder editorial team research Adobe Firefly using public product information, listing evidence, and (when available) hands-on checks. Scores reflect listing completeness and transparency — not paid placement.