You run a photo through a style pass, and the composition is perfect but the colors are all wrong. A blue sky turns muddy orange, skin goes green, or a red dress picks up the teal of the reference image. This is called color bleed, and it is the single most common complaint about AI image conversion. The good news is that it is predictable, and once you understand the mechanics you can control it instead of fighting it.
Style and color are not separate in the model
When a model learns a style, it does not learn "brushwork" and "color palette" as separate ideas. It learns them together, because in the training images they always appeared together. So when you ask it to apply a style, the model reaches for the whole package, palette included. It genuinely does not know you wanted to keep your own colors. That is not a bug, it is how the thing was built.
Strength is your main dial
Almost every color problem traces back to strength. At high strength, the model is rewriting most of the image and will happily repaint your subject in the reference's palette. At low strength, it only nudges the texture and leaves color mostly alone. If you are getting heavy bleed, your first move is simply to pull the strength down and compare. Ten percent lower often makes the difference between "wrong colors" and "nice texture."
The trick is that there is a sweet spot per image. Too low and you get a weak, barely-changed result. Too high and the palette takes over. Generate three strengths in a row and pick the one where the new texture appears but the original colors survive.
Protect the subject, restyle the rest
If your tool supports masks or regions, use them. Mask the subject or the area where color matters most and leave it untouched, then let the style apply to the background or the surrounding texture. This gives you the best of both worlds: the new look where it adds interest, and your original palette where it carries meaning. Product photos, portraits, and anything with brand colors should almost always be masked this way.
Fix the reference, not just the settings
Sometimes the problem is the style image you chose. If the reference is dominated by one strong hue, the model will push that hue everywhere. Try a reference with a wider, more balanced color range, or desaturate the reference slightly before using it. A muted reference transfers texture and mood without dragging its palette along for the ride.
You can also pre-correct your input. If a color is critical, boost its saturation slightly in your source image before the pass. A color that is strong to begin with is harder for the model to overwrite than a color that was already subtle.
Do a color correction pass afterward
Not every fix has to happen inside the model. A quick hue and saturation adjustment after the conversion will pull drifting colors back toward where they should be. If skin has gone off, isolate it and correct just that area. If the whole image has shifted, a single white balance correction often fixes it. Post-processing is not cheating; it is part of the workflow.
The takeaway
Color bleed is not random. It comes from the model bundling palette and texture into one style, and it scales directly with how hard you push the strength. Lower the strength, mask the parts that matter, choose a balanced reference, and clean up the rest in editing. Do those four things and your style passes will stop hijacking your color and start doing the job you actually wanted from image to image conversion.