Subject
Say the thing itself, and what it is made of. Material carries more weight than adjectives like "beautiful".
> mechanical wristwatch, brushed titanium
About us
A studio in a
text box.
Eunimart Tech AI Private Limited builds generative imaging tools for people who need professional visuals and do not have a studio, a crew, or a design team.
Who we are
Most businesses need pictures constantly — a product listing, a campaign, a post, a deck. Getting them has always meant booking a shoot or hiring a designer, and both cost more time than the work is usually worth.
We started Eunimart Tech AI because that gap kept showing up. A seller with forty products cannot photograph all of them. A marketing team of two cannot brief an agency every week. The work is not hard; it is just expensive to start.
So we built the shortest path we could: describe the picture, get the picture. Then, because still images stopped being enough for social, we added the second step — turn that frame into a short video without touching an editor.
The platform runs on cloud infrastructure, needs no installation, and produces files you own and can use commercially on a paid plan.
IndiaRegistered
MumbaiHead office
2 stepsPrompt to video
CloudNothing to install
The process
How a sentence
becomes a picture.
Generation is not a search. Nothing is fetched from a library — the frame is built for your words, from scratch, every time.
One thing worth saying plainly: we do not train the underlying image model ourselves. Eunimart runs on established third-party generative models, and what we build is everything around them — the studio, the prompt handling, the presets, the credit system and the licensing. The description below is how diffusion models of this kind work in general, not a claim about a model we own.
STEP 01
Your words are read
The prompt is broken into tokens and turned into a set of numbers that describe meaning — "brushed titanium" lands near metal, near matte, near cold. This is what the model steers by.
STEP 02
The canvas starts as noise
Generation begins from pure random static. There is no blank page and no template — every render starts from a different field of noise, which is why the same prompt never repeats exactly.
STEP 03
Noise is removed, step by step
The model then subtracts what does not belong, checking against your prompt on every pass. Shape appears first, then material, then the small details — reflections, grain, the edge of a highlight. How many passes it takes varies by model and settings, which is why we are not quoting a fixed number.
STEP 04
The frame is finished and enlarged
The resolved image is brought up to output size and handed back to you as a file you own, with a commercial licence on paid plans.
The seed shown under a render identifies the noise field it started from. Where the underlying model supports it, keeping the seed and changing one word gives you a variation rather than a different picture — which is the single most useful habit for getting a set that hangs together.
Image to video
And how a still
learns to move.
A photograph has no second frame. The model has to invent one — and then another — while keeping the subject the same object throughout.
01 — DEPTH
It reads the scene in layers
The model estimates what sits in front of what, separating subject from background so they can move at different rates.
02 — MOTION
It predicts the next frame
Camera movement is applied to those layers — a push in, a drift, a slow orbit — and the model fills the parts of the scene the still never showed.
03 — OUTPUT
Frames are joined and encoded
The sequence is smoothed for consistency and written out as a standard video file, sized for the place you are posting it.
Writing prompts
Four things worth
naming every time.
Most weak renders are under-specified rather than badly generated. Name the subject, the light, the framing and the style, and the model has enough to work with.
Light
Light decides the mood more than any other word. Soft key, hard rim, dusk, overcast — pick one.
> ...low key studio, hard rim light
Framing
Distance and angle. Macro, three-quarter, top down, wide establishing — this is what a photographer would set first.
> ...close macro, slight top-down angle
Style
The same subject renders as a photograph, an illustration or a 3D character depending on this one clause.
> ...stylised 3D character, warm interior
Thin prompt
> a watch
The model has to guess the material, the light, the angle and the style. Every render comes back different, and none of them are what you pictured.
Specified prompt
> mechanical wristwatch, brushed titanium, low key studio, hard rim light, three-quarter view
Five decisions made. What comes back is close enough to use, and close enough to iterate on by changing one clause at a time.
What we believe
Three things that
shape the product.
01
The prompt is the interface
If a feature needs a manual, it is the wrong feature. Everything starts from a sentence typed in plain language.
02
Output has to be usable
A demo-quality image is worthless. Resolution, file format, and licensing decide whether work can actually ship.
03
Speed changes behaviour
When a render takes seconds instead of days, people try ten ideas instead of defending the first one.
Build status
Where the product
actually is.
Current focus
Making the core two things good
Text to image and image to video both work, with style presets, aspect ratios and a set of generation settings in the studio. Images and video draw on one credit balance, and paid plans carry a commercial licence. That is the whole product today — we would rather it be narrow and reliable than wide and half-finished.
What’s next
More control over the look
Deeper control over the look of a render, and a larger library of style presets, so a brand can lock its own look once and reuse it. We ship changes continuously rather than in big releases.
Who it’s for
People without a studio behind them
Online sellers who need a picture for every listing, small marketing teams testing more creative than they can commission, and solo founders who are also the design department. If you have a full-time photographer and an art director, this is a supplement. If you do not, it may be the whole capability.
Company
The details.
- Registered name
- Eunimart Tech AI Private Limited
- Founded
- 2024 — incorporated in Maharashtra, India
- Founder & CEO
- Ratan Kumar · ratankumar@eunimart.in
- Support
- Support@eunimart.in
- What we do
- Generative imaging — text to image, image to video
- Status
- Live, with new features shipping every month
Is Eunimart a finished platform, or still being built?
It is live and it works — every image and clip on this site came out of it — and it is still growing. We add presets, controls and output options every month rather than shipping once and stopping. If something you need is missing, tell us; that is largely how we decide what to build next.
Working on something specific, or need volume beyond the listed plans? Write to us and describe what you need to make.
Contact usHelp decide what it becomes.
Early access is open, and the roadmap is not settled. Tell us what visual workflow you need next — the people asking now are the ones shaping what gets built.