A faint grid across your upscale
Tiled upscalers denoise each tile independently, leaving a lattice at the joins. Tile overlap, feathered masks, and the seam-fix pass that actually removes it.
Tiled upscalers denoise each tile independently, leaving a lattice at the joins. Tile overlap, feathered masks, and the seam-fix pass that actually removes it.
Faces occupying few pixels get invented, not drawn. Prompt shallow depth of field, crop-upscale-and-composite, or reframe so the crowd never resolves.
Maskless element re-render regenerates one named object. A decision table for when it beats masked inpainting and when the mask is still the safer tool.
Duplicated limbs cluster where each body occupies few pixels. A masked inpaint plus pose-conditioning that repairs the body without re-rolling the frame.
A still-image inpaint does not fix a moving hand. Three video options: masked inpaint, a short segment retake, or reframing the hand out of shot.
Fused fingers are a small-region problem, not a whole-image one. A masked inpaint loop that lands in two or three tries, plus the depth-guided fallback.
Contact with a product is where hands fail. A grip-region mask-and-inpaint recipe, then a composite fallback that keeps the real SKU geometry intact.
Do not re-roll a good image for one misspelled word. Quote the exact string, describe the font, set a mask margin, and know when to composite type instead.
A shadow falling toward the light is one of the fastest tells in a generated frame. How to catch it in a review pass, and the two fixes that correct it.
Instruction-based edit models regenerate the whole frame. Scope the change, then composite the region back so the background stays put.
Hallucinated stock marks come from training data, not the platform. Prompt changes that suppress them, plus a clean removal pass when they appear.
A generative upscale redraws identity. Keep face denoise at or below 0.35, mask the face out of a hotter pass, and check a 100 percent crop before you commit.
The halo, the texture smear, and the forgotten reflection — a diagnostic checklist for AI object removal, plus the cases that break every remover.
Most failed AI image edits aren't quality failures — they're scope failures. Masking, bounding boxes, and prompt language bound an edit differently.