You get the image. The pose is right, the colors are beautiful, the lighting finally does the thing you’ve been trying to get for an hour. And then your eye lands on one spot that isn’t right. Maybe it’s an expression that’s slightly off from what you wanted, or an accessory sitting in the wrong place, or a hand that didn’t quite make it.
There’s a split-second decision at that moment that shapes how the next ten minutes go. You can hit generate again and hope for a better roll, or you can fix just the problem. Tools like PixAI’s editing features make the second option realistic, and its guide to inpainting and outpainting covers the concepts in more depth. The real skill, though, is knowing which problems are worth fixing and which ones mean you should start over.
What Inpainting Is
Inpainting means selecting one area of an image, usually by masking it, and regenerating only that part while everything outside the mask stays untouched. Think of it as putting masking tape around a spot and repainting just what’s inside the tape.
The reason this matters is simple. When an image is ninety percent right, regenerating the whole thing throws away the ninety percent along with the ten. You lose the pose you liked, the lighting you liked, the face you liked, all to fix one small thing, and there’s no guarantee the next roll gets everything right at once. Local editing keeps what works and spends effort only on what doesn’t.
There’s a second, quieter benefit too. Image generation is partly a matter of luck, and a lucky image is hard to reproduce. If the composition, the mood, and the character all happened to line up in one generation, that combination is worth protecting. Treating a good image as something to repair rather than something to replace is a habit that pays off most on exactly the pieces you care about the most.
Three Ways to Fix an Almost-Right Image
When something is almost right, there are really three routes, and picking the right one saves a lot of retries.
Local inpainting with a mask. You mark the exact area that needs to change and describe what should be there. Only that region is redrawn. This is the surgical option.
Describing the change in natural language. An instruction-based editor lets you say what you want in plain words, such as changing an outfit or swapping a background, and the model works out which parts of the image to alter. This is the conversational option.
Regenerating from the prompt. You start fresh, with the original prompt or an adjusted one. This is the clean-slate option.
None of these is the best in general. Each one fits a particular kind of problem, and the next few sections are about matching the problem to the route.
When Inpainting Is the Right Call
Masked inpainting shines when the problem is small and contained. An expression that isn’t quite right, an accessory that should be somewhere else, a hand that needs another try, an eye color that drifted, a stray object that doesn’t belong. In all of these, the rest of the image is fine, and the problem lives in a spot you can circle.
Two habits make it work better. First, mask the whole area you want to change, not just the worst part of it, because gaps in the mask tend to produce visible inconsistencies. Second, describe what should be in that space rather than describing what to remove. Telling the model what belongs there gives it something to build, while telling it to delete something gives it very little to work with.
There’s one detail worth knowing specifically about PixAI’s repaint-style editing: any color strokes you paint only guide the color. The area still needs to be masked for it to actually be redrawn. It’s an easy thing to miss, and it explains a lot of cases where the color strokes just get pasted onto the image instead of being redrawn.
When an Instruction-Based Edit Works Better
Some changes don’t fit neatly inside a single mask. Swapping an outfit touches the clothing, how it drapes, how it interacts with the body, and sometimes the accessories that go with it. Changing a background affects lighting, edges, and the relationship between the character and the space around her. Asking for several changes at once is awkward to do with a mask, because there’s no single spot to circle.
In these situations, describing the change in natural language is often a better fit. You tell the editor what you want the finished image to look like, and it handles the relationships between the parts. It’s also the better route when you want the character to stay recognizable through the change, since these editors are designed to keep the subject consistent while altering the surroundings or clothing.
The trade-off is that you give up some precision. A mask lets you say exactly where. A description lets you say what, and trusts the model with where. For multi-part changes, that trade is usually worth it.
A practical way to write these instructions is to describe the result rather than the process. Instead of listing the steps you imagine the editor taking, say what the finished image should contain: the outfit, the setting, the mood. Keep it focused on one or two changes at a time when you can, since a very long list of demands gives the model more chances to drop something. And if the first attempt gets most of the way there, you can often follow it with a second, smaller instruction rather than rewriting the whole request from scratch.
When to Regenerate Instead
Some problems aren’t local at all. If the composition is wrong, if the pose doesn’t read the way you wanted, or if the anatomy is off across the whole figure rather than in one spot, no amount of patching will rescue it. Masking a single area can’t fix a figure whose proportions are wrong from head to toe, and layering edits on top of a flawed foundation usually makes things look stranger rather than better.
A useful gut check: if you’d need to mask more than a third or so of the image to fix the problem, you’re probably not doing a repair anymore, you’re doing a redraw. At that point, starting fresh with a better prompt, a different model, or a reference image is usually faster and cleaner than a long chain of edits.
Regenerating also makes sense when you’ve tried to fix something two or three times without success. Persistence is good, but it has a limit, and recognizing that limit is part of the skill.
When you do start over, you don’t have to start blind. Whatever the failed image taught you is useful. If the pose kept collapsing, simplify it or give the model a reference to follow. If a particular detail kept fighting the model, try a different model before rewriting the prompt again. And if the overall look was right but the layout wasn’t, keep the parts of the prompt that worked and change only the part that governs the composition. A regeneration informed by what went wrong is a very different thing from a random reroll.
Where PixAI Fits
PixAI’s editing options map onto the same three routes. For describing the change in words, there’s an edit-with-text approach that works with models such as Tsubaki.3 or Edit Pro. Edit Pro is built for more complex instructions: it takes plain-language descriptions, can handle several changes in one go, supports multiple input images, and aims to keep the character and style consistent across edits.
For redrawing one precise area, there’s a repaint-by-area-selection option, where you mask the region you want regenerated and describe what should replace it. And when the whole image needs another go, a fresh generation is always the fallback.
The point isn’t that one of these is better. It’s that you can choose by task: mask for small, contained fixes, describe for multi-part changes, regenerate when the structure itself is wrong. PixAI’s editing interface has been updated over the past year, so it’s worth looking at the current layout before following any guide’s button names, and treating older tutorials as
As with any generative tool, none of this guarantees a perfect result on the first attempt. Edits can need a second pass, and some fixes will end up being regenerations anyway. That’s a normal part of the process.
Conclusion
The decision rule is simple enough to keep in your head. If the problem is small and contained, mask it and fix it locally. If the change touches several parts at once, describe it and let an instruction-based editor handle the relationships. If the problem is in the composition, pose, or anatomy of the whole figure, start over. In every case, you’re asking one question: how much of this image is actually worth keeping.
Next time an image is nearly there, resist the urge to roll again. Take one picture you almost gave up on, pick the route that fits its problem, and see how much of it you can save. Even a single successful fix tends to change how you look at the rest of your almost-right images.
