Our own output, on real hardware.

Images and video the engine produced — from a datacenter GPU down to a Raspberry Pi, each from the model’s own checkpoint. Every item names the engine, the model and the machine that made it. This set grows as each render set is cleared for publishing.

Video and image, on a single RTX 3090.

Text-to-video with WAN 2.2 and still images with Stable Diffusion 3.5, generated on one consumer card. The speed modes of the video are explained on the engineering pages; here they are shown as output.

A still becomes a clip — three speed modes.

WAN 2.2 image-to-video on a single RTX 3090: each still animates into an 81-frame clip. The distilled Lightning path runs it in three modes — a full warm render of about 226 s at quality, 201 s balanced and 158 s ultrafast across these five scenes, with a one-time cold start adding roughly 110 s on the first clip. Shown as output; the distilled Lightning image-to-video model is arriving.

A cat

A guitarist

An astronaut

A bird

A landscape

The same engine, on a Pi 5 CPU.

Stable Diffusion 1.5 with a few-step LCM-LoRA — photoreal to painterly — plus a distilled SDXS still and a short diffusion video, all on the Raspberry Pi 5 CPU. The measured figures are on the edge page.

Every image and video here is veizik’s own render, named with the engine, model and machine that produced it. Models are used under their published licences (CreativeML OpenRAIL-M / Open RAIL++-M, Stability AI Community License and others, each noted with its render); generated media is subject to those licences’ use restrictions. veizik’s sub-byte quantization is a proprietary format — the output is shown, the format internals are not. Figures and method live on the benchmarks and edge pages. Raspberry Pi is a trademark of Raspberry Pi Ltd.; veizik is not affiliated with or endorsed by it.