This is the advanced workflow: lock a look, then batch out variations without drifting.

Why does the same prompt give different styles?

Diffusion models start from noise, and noise is random. The same prompt produces a different image each run unless you fix the seed. Style consistency comes from controlling three levers at once: the seed, a reference image, and a locked style phrase. Change the seed and you change the composition; change the reference and you change the look.

The three-lever method

1. Find a hero image. Generate one image you genuinely like in Realtime. Save its seed from the image info.
2. Convert to img2img. Feed that hero back in as the reference and set strength around 0.55.
3. Freeze the style phrase. Keep the exact same style words in every prompt — same punctuation, same order. “cinematic, muted teal and rust, film grain” every time.
4. Change only the subject. Swap the noun and leave everything else untouched.
5. Reuse the seed where composition can repeat, and change it only when you need a new angle.

That is it. The reference carries the palette and texture, the strength controls drift, and the frozen phrase stops the model from improvising a new mood each time.

What strength should you use for a set?

For a tight set where every image should feel like one family, stay between 0.5 and 0.65. Push past 0.75 and the reference stops mattering — you get a new look every run. Drop below 0.4 and the images become near-clones of the reference with tiny subject swaps, which looks lazy in a gallery.

How do you handle text and logos in a set?

You do not. Real-time diffusion still mangles fine text and precise logos. Put placeholder shapes on the canvas in sketch mode if you need a defined space, but render real type in an editor afterward. Fighting the model over lettering wastes your daily generations for a result you will fix anyway.

When is Realtime the wrong tool for consistency?

If you need 200 images with a character who keeps the same face, a live canvas is the wrong instrument. You want a training-based workflow (LoRA or an image model with identity reference) where the character is encoded, not prompted. Realtime is good at style families, not identity lock. Know which problem you actually have.

Who benefits most?

Small studios producing content series, Etsy sellers building a catalog with one look, and indie game teams blocking out an art direction before committing to production assets. If you only ever make one image at a time, none of this matters.

Key Takeaways

• Fix the seed, a reference image, and one frozen style phrase together.
• Strength 0.5-0.65 keeps a set coherent; above 0.75 drifts every run.
• Change the subject noun only; leave style words untouched.
• Never rely on it for exact text or logos — render type afterward.
• Realtime builds style families, not consistent faces; use identity training for that.

That live loop is the whole point. It changes how you write prompts, because you stop writing one perfect sentence and start steering a picture in real time.

What is Krea Realtime?

It is a real-time diffusion feature from Krea, the studio behind Krea AI. The model keeps a low-resolution draft on screen and refines it as your input changes, so you get feedback in well under a second on a decent GPU or a stable connection. You type “a red fox in snow” and a blurry fox appears; you keep typing “at dusk, oil painting” and it shifts live.

Runs in the browser. No install. A free Krea account gives you a limited number of daily generations, and paid plans raise that ceiling and unlock higher output resolution.

How do you drive it step by step?

1. Sign in to Krea and open the Realtime canvas.
2. Type a short starting prompt — five to eight words is plenty.
3. Watch the draft land, then add modifiers one at a time instead of rewriting the whole line.
4. Switch to the sketch or draw mode to place shapes and let the model dress them.
5. Use the image-to-image mode to feed a reference and dial the strength slider.
6. When you are happy, raise resolution and export.

The habit that matters: add, do not rewrite. Every full rewrite restarts the draft, and you lose the composition you were building.

What does the strength slider actually do?

In image-to-image mode, strength controls how far the output drifts from your reference. At 0.2 it barely changes the input. At 0.8 it keeps the rough shape but repaints almost everything. Most useful work happens between 0.4 and 0.65, where structure survives and style changes.

What are the practical limits?

The live preview is deliberately low resolution. Fine text, small faces, and exact logos will not be sharp until the final pass. The real-time speed also depends on the model you pick — the fastest model looks rough, the heavier ones look better but lag behind your typing.

Free daily generations run out quickly if you export a lot. Budget them for the images you will actually use.

Who is it for?

It suits illustrators exploring composition, marketers testing thumbnail directions fast, and anyone who thinks visually and hates writing long prompts blind. It is a poor fit for pixel-exact product shots or anything needing consistent characters across many images, where a batch workflow with seeds beats a live canvas.

Key Takeaways

• Krea Realtime redraws the image while you type, with sub-second feedback.
• Add modifiers one at a time rather than rewriting the prompt.
• Image-to-image strength of 0.4-0.65 keeps structure while changing style.
• Live preview is low resolution; export for final quality.
• Great for exploration and thumbnails, weak for exact or consistent output.