Product
The whole catalog, one product at a time
Train the product once as an Object, then shoot it in any setting, angle and light. Background off in one step when it's going on a page.
Free AI Image Generator
Every leading image model in one place: Nano Banana, Seedream, Flux, GPT, Ideogram and more. Generate a photo, an illustration or a full campaign from a prompt, a reference, or both. Then keep editing without leaving the page.
20 free images a day. No card required.See what teams make with it ↓
Creative teams already generating this way
What it does
Start from a sentence, a picture, or both
Four ways in. Most people use the first two and never notice the other two are what keeps a whole campaign looking like one thing.
Describe it. That's the brief.
A few words are enough to start. Subject, light, lens, mood. The more you know what you want, the more the prompt can carry, but you don't have to arrive knowing. Pick a style from the library or leave it off and let the model decide.
Try it in the generator →
- 01
Choose a model and write your prompt. Or leave the model on Auto. Set the aspect ratio.
- 02
Add what matters. A reference image, a style, a character or an object.
- 03
Edit, upscale, or keep going. Talk to the image, or open it in Spaces and keep working.
Which model
The best AI image model depends on what you're making
Fifteen-plus models live here and new ones arrive most months. Two families do most of the work. The rest earn their place on specific jobs. This is how people who generate all day actually pick.
| When you need | Reach for | Why | Output |
|---|---|---|---|
| Photorealism | Skin, light and lens behave like a camera | Up to 4K | |
| Text inside the image | Legible, well-placed type; Qwen for non-Latin scripts | Up to 2K | |
| Editing with references | Hold subject and scene across many turns; up to 14 references | Up to 4K | |
| Speed and volume | Seconds per image, built for batches and drafts | 1K–2K | |
| Design, vectors, illustration | Clean shapes, gradients, brand-ready output | 1K–2K | |
| Maximum size | 4K-native for print, crops and compositing | 4K |
Or let the generator choose
Close to one in five images here are made with the model picked automatically. Leave it on Auto until you can finish the sentence “it came out wrong because…”. That's the moment the picker starts earning its place.
Every model, by family
12 families · new models most monthsGoogleNano Banana · See the family →SeedreamByteDance · See the family →FluxBlack Forest Labs · See the family →GPT ImageOpenAI · See the family →
IdeogramIdeogram · See the family →
RecraftRecraft · See the family →
MysticMagnific · See the family →
Grok ImaginexAI · See the family →
QwenAlibaba · See the family →
Z ImageTongyi · See the family →
Luma PhotonLuma AI · See the family →
ClassicMagnific · See the family →What people make
Six jobs this generator does every day
Not demos. The work that actually leaves the platform, and the model that usually made it.
Ads and social
Every format, same campaign
One concept, then every ratio and every market from the same references. Text rendered in the image, in the language it ships in.
Posters and packaging
Type you can actually read
Headlines, labels and layouts where the letters come out right the first time. Vectors when the print shop asks for them.
Characters
Same face, forty scenes
Build a character from a few images and keep them recognizable across a story, a feed or a brand.
Concept art and storyboards
Twenty directions before lunch
Explore fast, in a consistent style, then push the frames you like to 4K or straight into video.
Thumbnails and editorial
The image that gets the click
Bold, legible, on-brand covers and headers, sized for the platform they're going to.
Watch how it's done
After the image
The image is the start, not the deliverable
Three out of four edits happen within five minutes of generating. Everything that comes next is on the same page as the prompt, so there's no download between you and the finished asset.
- EditTalk to it, retouch a region, swap the background.
- UpscaleTo 4K and beyond, with detail that wasn't there before.
- ExpandChange the ratio and let the scene fill in.
- Cut outBackground off in one step.
- Relight and reframeNew light, new camera angle, same image.
- AnimateTake it into video from the same canvas.
On a canvas
Open the image in Spaces instead of downloading it. Same tools, one place, and the whole thread of what you tried stays with it. When more than one person touches the work, that's where it happens.
Through the API
Same models, same quality, from your own system. Generate at volume, control styles and references, and plug it into a pipeline.
Trust
What you make here is yours
Created by you, owned by you, shared only with who you choose.
01
Private by design
Magnific never uses your prompts, references or results to train AI models, on any plan.
02
Yours, full stop
You own what you generate, commercial use included on paid plans.
03
Licensed data
Models offered here are trained on licensed content. Check local rules; AI content law varies.
04
Certified security
ISO 27001, SOC 2 Type II, GDPR. See the Trust Center.
05
Cover for teams
Business and Enterprise plans add legal indemnification for third-party copyright claims.
In numbers
How teams generate
+60%
How teams generate
Teams generate more. They also generate differently
A seat on a team plan produces about 60% more images than an individual account. That gap isn't enthusiasm. It's production.
We looked at hundreds of millions of image generations to find out what that actually looks like.
Measured: traces to the analysisEditorial: our read, not a measurement
Where the work happens
01
The work happens on a canvas
Teams run close to a third of their image work inside Spaces. Individual accounts, less than a fifth. Teams also reach for standalone editing tools less often.
What it means
Not that teams edit less. That the editing stopped being a separate trip. On a canvas the reference, the prompt and every earlier version stay with the work, so the next person picks it up where the last one left it. At 50 images a week that compounds. At 2, it barely registers.
What to do with it
If more than one person touches the same image, start on the canvas and stay there. The tools are the same. What changes is whether the context survives between them.
Team accountsIndividual accounts
Share of image work by surface, team vs individual paid accounts.
02
The most common edit isn't a tool. It's a sentence
When a generated image goes anywhere next, the most common destination isn't background removal or upscaling. It's another turn of conversation. More than half of all first steps after generating are a follow-up instruction, not a tool.
What it means
A toolbar assumes you already know which tool you need. Conversation doesn't. "Make the light colder" never mapped to a button, and now it doesn't have to. That's the shift: you describe the result, not the operation.
What to do with it
Say what's wrong with the image before deciding which tool fixes it. You'll usually find the tool wasn't the question.
Models & settings
03
The models people reach for first
These are the models most in demand on Magnific right now. Team accounts and individual accounts reach for almost exactly the same ones.
What it means
Range is the point, not a ranking. One model sets type cleanly. Another holds photographic skin. Another goes straight to 4K. You don't need all of them—you need the right one for the image in front of you.
04
1 in 5
In about 1 in 5 generations, the editor picks the model for you
Automatic selection reaches more distinct users than any individual model. Close to a fifth of all image generation runs with the model chosen for you.
What it means
Two populations, not one. Most people never open the model picker. A smaller group generates most of the images and chooses deliberately every time. Both are right. Picking a model pays off when you're producing at volume and know what each one does with typography, skin, or text. Below that, the choice costs more attention than it returns.
What to do with it
Stay on automatic until you can name what you'd change. Then the picker starts earning its place.
05
3×
Teams change the resolution, not the model
Where resolution is chosen explicitly, 2K takes about half of all requests. Team accounts ask for 4K around 3 times more often than individual accounts—it's the setting that separates production work from everything else.
What it means
2K is the working default because most output is screen output. 4K is a production decision, not a quality one: you reach for it when something gets cropped, printed, or composited at scale.
What to do with it
Generate at 2K while you're deciding. Go up once the image is the one.
Share of generations where resolution is chosen explicitly (about 43% of image generation). The rest carry no resolution.
06
How many tries it actually takes
<2
Generationcreations per session
4+
Conversational editingturns per session
~8
Variationsby design
~2
Expand & retouchper session
What it means
The numbers run lower than most people guess. Prompting to a result isn't 100 attempts. It's a handful, and the sessions that run long are the ones deliberately exploring range.
What to do with it
Estimating credits for a project? Count sessions and multiply by a small number. Counting prompts overestimates badly.
After the image
07
When an image gets edited, it gets edited now
3 out of 4 follow-up edits begin within 5 minutes. About 7 in 10 stop after a single step. Among tool-based edits, the first move is usually background removal, not upscaling.
What it means
One sitting, not a pipeline. And background-first says compositing: the image is going into something else, so it needs to come out of its rectangle before anything else matters.
Renormalized to post-processing tools only.
08
The assistants are already connected
Programmatic generation arrives through assistants and MCP clients. Among external agents, around 8 in 10 of it comes through Claude, with ChatGPT and coding tools making up most of the rest.
What it means
Programmatic image generation stopped requiring an integration project. It arrives through the assistant someone already has open, not through a build. That changes who can reach for it: from an engineering team to anyone with a connected tool.
What to do with it
If image generation needs to happen inside another system, check whether a connection already exists before scoping an integration.
Rolling this out across a large organization? Enterprise covers custom SSO, compliance and dedicated support.
External agents only.
Plans
Where the free plan runs out
Three of the patterns on this page are the same pattern. Teams generate about 60% more per seat. They ask for 4K around 3 times more often. They work on a canvas rather than moving files between tools.
None of that is a different kind of person. It's what happens when image generation stops being something you try and becomes something you ship.
Individual
From €12/mo
billed annually
Every model, a daily free allowance to start, and more volume when you need it. Built for one.
See individual plansBusiness
€47/seat/mo
billed annually
One shared credit pool, Spaces and Projects, admin controls and governance. From 2 seats.
See Business plansEnterprise
Custom
Unlimited seats, SSO, audit logs, legal indemnification and a dedicated team.
Talk to salesEvery plan starts free: a daily allowance of images, no card required.
Questions people ask
What is the Magnific AI Image Generator?
A text-to-image and image-to-image generator that brings every leading model into one place: Nano Banana, Seedream, Flux, GPT Image, Ideogram, Recraft and more. Describe an image, upload a reference, or both, then keep editing on the same page.
Is it free?
Yes. The free plan includes a daily allowance of images across every model. Paid plans raise the volume and output size and add unlimited generation on selected models.
What's the best AI image generator model?
Depends on the job. Nano Banana 2 and Seedream 5 for photorealism, Ideogram 4 for text in the image, Nano Banana Pro or Flux.2 Max when you're editing with references, Nano Banana 2 Lite or Flux.2 Klein for speed. Or leave it on Auto: about one in five images here are made that way.
Can I generate an image from another image?
Yes. Upload a reference and the generator reads its composition, palette and light. Combine it with a prompt to change the subject and keep the structure, or the other way round.
Can I generate photorealistic images?
Yes. Several models here are built for it, and 4K output is available on most. “AI photo generator” is one of the things people call this tool.
Can I use the images commercially?
Yes. You own what you generate, and paid plans include a commercial license. Business and Enterprise plans add legal indemnification.
Does Magnific train its AI on what I make?
No. Prompts, references and results are never used to train or fine-tune models, on any plan.
Can I generate images from Claude or ChatGPT?
Yes. Magnific connects to Claude, ChatGPT and Cursor through MCP. Ask for an image there and it's generated here, with your models and your credits.
How does an AI image generator work?
A model trained on image-and-text pairs learns how words map to visual features. Given a prompt, it builds an image that matches the description, refining from noise to detail in steps. Different models make different trade-offs between speed, realism and control, which is why there's more than one here.
Is Magnific the same as Freepik?
Yes. Freepik became Magnific: same company, one brand, now a full creative suite for image, video, audio, 3D and collaborative work.
Are there content restrictions?
Yes. Generation follows our acceptable use policy; some subjects are blocked across all models.