Identicon Avatar — Grace Hopper
A 256×256 identicon-style avatar generated deterministically from the seed “grace-hopper” — a symmetric 5×5 block pattern like the default avatars on many sites. For testing avatar rendering, placeholder generation, and image pipelines.
Specifications
- Size
- 256x256
- Grid
- 5x5
- Symmetry
- left-right mirror
- Seed
- grace-hopper
- Note
- deterministic from the seed via md5
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.
Code examples
<img src="identicon-grace-hopper.png" alt="Example image" width="640" loading="lazy">Related files
- png16-bit Grayscale PNG (deep colour)A 16-bit (deep-colour) grayscale PNG holding a smooth 0–65535 gradient — for testing high-bit-depth support and spotting banding when a tool truncates to 8-bit.
- png16-Step Grey WedgeA 16-step greyscale wedge from pure black to pure white, for testing tone reproduction, banding, and monitor calibration.
- png50% Grey CardA flat 50% grey card (rgb 128,128,128), a reference for white balance and exposure testing.
- pngAlpha-Channel Reveal (512px)A left-to-right alpha gradient over a solid colour, for testing how a viewer or compositor renders partial transparency.
- gifAnimated GIF (8 frames)An 8-frame looping animated GIF of a moving dot — tests animation handling, first-frame extraction, and GIF parsing.
- pngBar Chart (PNG)A clean bar chart of monthly revenue with axis labels, gridlines, and value labels — a real-world fixture for testing chart-extraction and OCR tools, vision models, and thumbnail rendering.
Generated by generation/images_realworld.py. Free for any use, no attribution required — license.