Text-to-Image (T2I)

Text-to-image (T2I) is an AI technique that turns a written prompt into a finished image. Learn how it works, what it does best, and how to prompt it well.

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See it in action

One real prompt and the result it produced on Molyin. Remix it to start from here.

Nano Banana 2 official sample — glossy magazine cover with bold Nano Banana serif title and a model playfully holding the number 2, crisp photoreal typography
  • Nano Banana 2.1
  • Text to image
  • 3:2
  • 2K

A photo of a glossy magazine cover, the minimal blue cover has the large bold words Nano Banana. The text is in a serif font and fills the view. No other text. In front of the text there is a portrait of a person in a sleek and minimal dress. She is playfully holding the number 2, which is the focal point. Put the issue number and "Feb 2026" date in the corner along with a barcode. The magazine is on a shelf against an orange plastered wall, within a designer store.

Text-to-image (T2I) is a generative AI technique that turns a written description — a prompt — into a finished image: composition, lighting, style, and detail all rendered from your words. You describe the picture; the model paints it.

("T2I" is simply shorthand for text-to-image — you'll also see it written as text2image, txt2img, or text 2 image.)

How it works

Modern text-to-image models are diffusion models trained on enormous libraries of images paired with captions. Generation starts from pure noise, and the model progressively "denoises" it into a picture, steered at every step by your prompt. The newest generation pairs the diffusion core with a language-model front end that reads your prompt as instructions rather than a bag of keywords — so spatial relationships ("the cup on top of the book"), object counts, and even legible text inside the image come out right far more often.

T2I vs I2I at a glance

ModeYour inputThe model treats it asBest for
Text-to-image (T2I)a written prompt onlythe full briefnet-new visuals from nothing
Image-to-image (I2I)one or more source images plus a promptstructure and identity to preserveediting, restyling, series consistency

What it's best at

Text-to-image shines when you need a visual and have nothing but words:

  • Concept art and mood boards — explore styles, palettes, and compositions before committing to a direction.
  • Marketing visuals — hero images, thumbnails, banners, and social graphics in any aspect ratio, no photoshoot required.
  • Illustration at scale — generate a consistent series by locking your style description and varying only the subject.

What a good prompt includes

A strong T2I prompt reads like an art director's brief. Cover four things: the subject (what's in the frame), the composition (framing, perspective, focal point), the style (medium, artist reference, rendering technique), and the lighting and mood (golden hour, neon noir, soft studio light). Specific beats vague: "a ceramic teapot on a linen cloth, overhead shot, soft window light, minimalist product photography" outperforms "a nice teapot" every time.

Text-to-image on Molyin

Text-to-image is the baseline mode across Molyin's image lineup — every live model takes a text prompt. What differs is how far you can push the output:

ModelTop output resolution
GPT Image 2 (Easy)4K
Nano Banana 2 / Nano Banana Pro4K
Seedream 5.0 Lite4K
FLUX.2 Pro / Max4MP
Seedream 5.0 Pro2K

GPT Image 2 (Advanced) and the GPT Image 2.5 pair price by quality tier rather than a fixed pixel ceiling. Whichever you pick, the generator only offers the aspect ratios and sizes that model actually supports, and shows the cost before you generate.

Questions about Text-to-Image (T2I)

Can I generate images for free?

Yes. Sign-up credits cover your first images on the most affordable model, and prices start at 3 credits per image. The generator shows the cost before you generate.

What resolution and aspect ratios are available?

Up to 4K depending on the model, with aspect ratios from ultra-wide to vertical, and transparent output on some models. The generator only offers options the selected model actually supports.

Go deeper

What is Text-to-Image (T2I)? | Molyin