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TWIN LAB / 001

See the work happen.

A real image pipeline. A synchronized process model.

Experimental process twin

01 / INPUT

Make something smaller.

Choose artwork and an output width. The service resizes it into a downloadable PNG.

Sample artwork

320 × 320 px · PNG · aspect ratio preserved

Uses these sample assets only. Results are saved to this browser’s private demo session, up to 100 jobs. Clearing cookies loses access.

02 / PROCESS MODEL

PIXELNERD Image Pipeline

Connecting
Ready for your first job

The blocks represent stages in the actual service. Select one to inspect its role.

Compute time—
Through storage—
Output size—

Measured events

  1. Run a job to see its server timestamps.

Events reflect completed stages, not a timer. Network delivery may group fast events. Replay is slowed for inspection. No queue or hardware telemetry is represented.

03 / OUTPUT

The result is real.

Your resized image will appear here.

Same artwork. New dimensions.


Your recent jobs

No completed jobs yet.

WHAT IF / ESTIMATE

What if we processed more?

Estimate compute time for repeated copies of the selected job, processed sequentially. Based on matching jobs you have actually run.

Run a job first

This is an estimate, not a load test. It excludes network, storage, queuing, and concurrency effects.

What makes this a process-twin prototype?

The counterpart is the running pixelnerd-image-pipeline-v1 service. Its defined processing stages generate events that update this model. Each stored job keeps the measured timings and output together. The 3D arrangement is a process schematic, not the physical layout of a server.

The workload estimate multiplies the median compute time of matching completed jobs by the requested count. It has not been validated for production load forecasting. This prototype models job state and timing only; it does not model the full infrastructure or promise an accuracy percentage.