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Outpaint Full Reference — 128px Border Suite (512px)

Full-frame plant scene used as the target for outpainting tests with a 128px empty border input.

Preview of Outpaint Full Reference — 128px Border Suite (512px)

Specifications

Width
512
Height
512
Role
full reference
Border Px
128

What is a .png file?

PNG (Portable Network Graphics) is a raster image format using lossless DEFLATE compression. It supports full 8- or 16-bit-per-channel truecolor, palette, and greyscale modes with an optional alpha channel, but no animation. It is the standard choice for screenshots, logos, and graphics with sharp edges or transparency.

How to use this file

Use an example PNG to test image decoders, alpha-compositing, thumbnail generators, and format converters, or to verify that a pipeline preserves transparency and color depth on round-trip.

How to use this file for testing

“Outpaint Full Reference — 128px Border Suite (512px)” is a deterministic Novus Examples fixture for Outpainting, Image pipeline QA. Full-frame references with empty-border inputs and expand masks for testing outpainting, generative expand, and content-aware extend tools.

Documented properties for this file: 512×512 · full reference. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

For image AI or enhancement tools, run the model or filter on this file and diff against the clean or ground-truth companion in the same group when available. Keep seeds and documented damage parameters in your evaluation notes so regressions are attributable.

Code examples

<img src="border-128-full.png" alt="Example image" width="640" loading="lazy">

Generated by generation/images_enhance_wave_a.py. Free for any use, no attribution required — license.