full-res -> psd
A layered PSD that keeps your full resolution
Most AI layer tools sit on a model that re-draws your image at a small canvas, so the PSD comes back softer than what you put in. Fine for a web mockup, useless for print. This separates the original image at its real resolution and writes a genuine layered PSD at the source dimensions.
Keep full resolutionWhy most AI layer tools hand you a low-res file
The free layered-diffusion models decompose an image by re-generating it as separate layers on a reduced internal canvas. Detail and text soften, and the output is capped well below print resolution. It reads fine on a screen at small size and falls apart the moment it is enlarged or sent to a printer.
Your pixels stay native
Instead of re-drawing the scene, we segment the original image and lift the pixels that are already there. Untouched areas and separated subjects keep every original pixel, and the PSD is written at the full source width and height — not a preview. A 4K image in gives a 4K layered PSD out.
The one part that is reconstructed
The background revealed behind a lifted object has to be generated, because it was never photographed. The free tier fills those holes at a coarse resolution; the paid generative fill regenerates them at high resolution around each hole. Either way the rebuilt regions are named with an AI_Fill_ prefix, so you always know which pixels are original and which were reconstructed.
Frequently asked
Does it downscale my image?
No. Original and separated pixels are kept at native resolution and the PSD is written at your image dimensions. Only regenerated fill areas are model-limited, and those are clearly marked.
Will the text stay sharp?
Detected text is rewritten as a real editable type layer, so it stays vector-crisp at any size instead of becoming a blurred raster.
What about a 4K or larger image?
Supported. Separation and export are full resolution. A very large regenerated fill is the only place resolution is capped; your original content is not.
Keep reading
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