Two Years of Open-Source Image AI on One RTX 3060eric

Eighteen months ago I wrote a tutorial on mastering human portraits with Stable Diffusion. Reading it back is a little painful. It opens with "trust me, this is hard," and its list of search keywords reads like a bug report: two heads, extra heads, deformed face, extra eyes, disfigured, duplicate. Those weren't edge cases — they were what you fought on every render.

This week I ran open-source image generation on the exact same computer. Same RTX 3060, same 12GB of VRAM. The only thing that changed is the software, and the gap is hard to overstate.

The machine (deliberately unchanged)

It's the same box from our local-LLM benchmark:

• CPU: Intel Core i7-12700F
• RAM: 64GB DDR4
• GPU: NVIDIA GeForce RTX 3060 — 12GB VRAM
• OS: Debian 13

Holding the hardware constant is the whole point. Any improvement you see is the open-source ecosystem getting better, not a new graphics card.

Early 2025: Stable Diffusion 1.5, 512 pixels, and a war on anatomy

Back then, the state of the art you could actually run at home was Stable Diffusion 1.5. My old parameters tell the story: 512×512, Euler a, CFG 7. To get anything lifelike you leaned on community finetunes (RealisticVision, ChilloutMix, F222), stacked LoRAs, and wrote paragraph-long negative prompts to suppress the model's habit of adding a second head or a sixth finger. Then you generated a dozen and kept the one that wasn't broken. It worked, but it was a craft — and a grind.

Mid 2026: the same card, a different league

Here's a portrait from the same 3060 today, straight out of the model — no inpainting, no ControlNet, no clean-up:

Three things changed the game. Flux and modern SDXL finetunes replaced SD 1.5 as the open baseline. They render natively at 1024px and up, and they get hands, faces and proportions right the first time far more often than not.

They also learned to spell — the single clearest "we crossed a line" moment. Readable text in an image was essentially impossible in 2025:

And the range on one card is wide — photoreal wildlife and clean anime styles from the same machine, same afternoon:

Then and now, side by side

The part that was pure science fiction in 2025: video

The same RTX 3060 now generates video. Wan 2.2 and LTX-Video produce short text-to-video and image-to-video clips locally — a five-second scene in a few minutes, on a card that two years ago struggled with a single 512px still. The next open model on our list, MiniMax H3, even adds a synchronised soundtrack.

What actually changed — and why it matters

It wasn't the GPU. Three shifts in the open-source world did the work:

• Better base models. Flux and SDXL are simply generations ahead of SD 1.5.
• Quantisation. Techniques like fp8 and 4-bit weights shrink 12-billion-parameter models enough to fit inside 12GB of VRAM with quality mostly intact.
• Smarter memory management. The tools now offload the heavy text encoders to system RAM, so the GPU only holds what it must.

Put together, a consumer card that launched years ago runs models that didn't exist when you bought it — because the community learned to make them fit.

For a small business or a hobbyist, that's the real headline: the same modest hardware budget now buys studio-grade stills and short video, from software that's free and runs on your own desk. Every image in this post was generated on that one 3060; you can browse and remix the prompts in our gallery.

Next up: putting MiniMax H3 — open-weights video with native audio — on the very same card, and seeing how far 12GB can really go.