Image models have converged on quality. At the top of the market, the differences in a 1024-pixel sample are small enough that a client will not see them. What still separates the tools is everything around the image: where it runs, what it was trained on, and whether the output is editable.
That framing decides most commercial choices, and it is how we compare FLUX, Adobe Firefly, and Recraft.
The short answer
Choose FLUX when you need to run the model yourself, fine-tune it, or build a pipeline. Choose Firefly when the training-data provenance and indemnification matter to your legal team. Choose Recraft when the deliverable is a design asset that a human will edit afterwards.
FLUX: control over the pipeline
FLUX is a model family, not an app. Some models ship open weights, which means you can run them on your own hardware, fine-tune on a brand style, and keep prompts and images inside your infrastructure.
That is a different product category from a hosted generator: you are buying optionality, and paying for it with engineering time. Prompt adherence is a strength — the model follows a detailed description rather than drifting toward a generic interpretation. Typography is not.
The practical question is whether you have the infrastructure appetite. A marketing team does not; a product team with a rendering service does.
Firefly: provenance as the feature
Firefly's positioning is licensed training data and commercial indemnification, plus deep integration into Adobe's apps. The generative fill inside Photoshop is the most useful expression of it: the model operates on your existing document rather than producing a separate image.
For agencies, the legal story frequently decides before the model does. A client asking "where did this come from" is a different conversation than "which model scores higher", and procurement teams know it.
The trade-off is capability. If your goal is the strongest possible photorealistic output, other models win. If your goal is a defensible image inside a workflow that already exists, this is the shortest path.
Recraft: output that survives editing
Recraft generates design assets: icons, illustrations, and graphics, including vector output. The important property is that the result is editable — a human can open it in a vector tool and adjust a node, which is unusual for generated imagery.
It also holds a style across a set, which matters when you need twelve icons that look related. Photo models are the wrong comparison here: this is closer to a design system generator than a camera.
The decision table
| Constraint | FLUX | Firefly | Recraft |
|---|---|---|---|
| Self-host or fine-tune | Yes | No | No |
| Licensed training data | Varies | Yes | Varies |
| Editable vector output | No | No | Yes |
| Inside Creative Cloud | No | Yes | No |
| Photoreal quality | High | Medium | Low (by design) |
Read the table by row, not by column. Whichever row describes your actual constraint is the row that decides.
The licensing checklist
Before publishing any generated image, answer four questions regardless of tool:
- What do the model's terms say about commercial use, and does it distinguish free from paid tiers?
- Does the tool grant indemnification, or only a licence? These are different promises.
- If a person appears in the image, is the likeness plausible enough to be a real person?
- If the image imitates a brand, a character, or a living artist's style, is that a risk you have accepted in writing?
The answers differ per tool and change with the terms. That is why we date this page.
The review that decides it
In practice, the choice is often made by someone who is not the user. A legal or procurement reviewer asks where the training data came from; a platform team asks whether the model can run in a private environment; a designer asks whether they can edit the result.
Those three questions point at three different tools, and none of them is about image quality. If your organisation is having the licensing conversation, Firefly answers it directly. If a platform team owns the rendering service, FLUX does. If the deliverable is a design asset, Recraft does.
The expensive mistake is running a bake-off on quality alone, then discovering the chosen tool fails one of the three constraints. Ask the constraint question first; the sample gallery is the last thing to look at.
Frequently asked questions
Can I use generated images commercially? Usually yes under the provider's terms, and usually with conditions. Check the tier you are on: several providers treat free-tier output differently from paid output.
Which model is best for product shots? Start with a hosted model that accepts a reference image, then composite. Pure text generation of a specific product will invent details that do not exist.
What about consistency across a campaign? A fine-tuned FLUX model or a Recraft style set will hold a look better than re-prompting a general model per image.
Last checked: 9 November 2026. Model versions move fast; the constraint table is the stable part.
Related: licensing AI images, design tools vs design models, and image tools.