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How img.now generates images

Image generation turns a written prompt into a brand-new picture. img.now runs every generation on a single, high-fidelity model, so results stay consistent whether you are making a photo, an illustration or a logo concept - No model menus to wrestle with.

1model, every style
2input modes: text & image
~10sto a finished image*

From words to a finished image

The model starts from random noise and refines it step by step, pulling the image toward your description until it is sharp. Nothing is pasted from stock - Every result is generated specifically for your prompt, which is why two identical prompts can still give you fresh options.

  • Photos, illustrations, 3D, logos and more
  • Understands lighting, materials, mood and colour
  • Generates several distinct options at once
  • Consistent quality across every style
From words to a finished image

Two ways to create

Start from a blank canvas with text-to-image, or upload a picture and steer it with image-to-image. A Change slider decides how much of your original to keep, so you can lightly restyle a photo or reinvent it completely.

  • Text to image for something brand new
  • Image to image to restyle a starting picture
  • A Change slider from subtle to total
  • Negative prompts to remove what you do not want
Two ways to create

What the model is good at

TaskReliabilityTip
Scenes & landscapesExcellentName the setting and light
Product & still lifeExcellentDescribe the surface
Portraits & avatarsStrongAdd camera and lens words
Readable text in-imageLimitedKeep words short or add later
Hands & fine anatomyVariableUse a negative prompt

How reliably it nails each task

relative success rate

A simple workflow

1

Write a clear prompt

Name the subject, setting, style and lighting.

2

Generate options

Create a few at once and pick the strongest.

3

Refine or edit

Tweak the prompt, or send the result to a tool.

Honest limits

AI image models are powerful but not perfect. They can struggle with small readable text, exact counts, hands and precise brand marks. When a result misses, a clearer prompt or a quick edit usually fixes it - The how AI image generators work guide explains why.

Questions about image generation models

What is text-to-image generation?
It is the process of turning a written description into a brand-new image. You type what you want - The subject, setting, style and mood - And the model paints a matching picture from scratch, pixel by pixel, in a few seconds.
Is image-to-image the same model?
Yes. img.now uses the same model for image-to-image: you upload a starting picture and a prompt, and a Change slider controls how much it keeps versus reinvents. Low keeps your composition; high transforms it completely.
How do I get a better result?
Be specific about subject, style and lighting, and add camera words like '85mm, shallow depth of field' for photos. The prompt guide in your workspace has a formula and ready templates.
Why does it sometimes get hands or text wrong?
Fine anatomy, exact object counts and readable text are the classic weak spots of image models. A clearer prompt, a negative prompt, or a quick re-generate usually fixes it.

Try it yourself

The model is one prompt away - See what it makes for you.

Start creating