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png54.4 KB

Style Transfer Photo Input (512px)

Fruit still-life content photo for neural / filter style-transfer tests. Pair with the style reference images in this group.

Preview of Style Transfer Photo Input (512px)

Specifications

Width
512
Height
512
Role
content photo
Seed
801

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

“Style Transfer Photo Input (512px)” is a deterministic Novus Examples fixture for Style transfer, Image pipeline QA. Content photos paired with posterize, line-art, paint-like, comic, and geometric style references for neural and filter style-transfer pipelines.

Documented properties for this file: 512×512 · seed 801 · content photo. 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="photo-input.png" alt="Example image" width="640" loading="lazy">

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