How to Build a Consistent Art Style with Krea Realtime
The hard problem with any image generator is not the single hero image. It is the tenth image that has to look like it belongs to the same set. Krea Realtime can do this, but only if you stop treating each image as a fresh start.
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
- Find a hero image. Generate one image you genuinely like in Realtime. Save its seed from the image info.
- Convert to img2img. Feed that hero back in as the reference and set strength around 0.55.
- 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.
- Change only the subject. Swap the noun and leave everything else untouched.
- 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.
