{/* banner prompt: A playful, polished 3D clay-render in matte sage green, cream and terracotta: a stylized NVIDIA RTX 3060 graphics card holding a large traditional Chinese ink brush, painting a tiny misty mountain landscape onto a small scroll of cream rice paper, a little red seal-stamp prop and an ink stone beside it, soft studio shadows, simple pale background, 16:9. */}

Four posts into this series, the same RTX 3060 has learned to make
[images](/blog/2026/08/03-two-years-of-open-source-image-ai-on-one-rtx-3060/),
[video](/blog/2026/08/03-now-it-moves-video-generation-on-the-same-rtx-3060/),
[video with sound](/blog/2026/08/04-now-it-talks-open-source-video-with-sound-on-the-same-rtx-3060/),
and even [reason like a 27B language model](/blog/2026/08/18-now-it-thinks-a-27b-language-model-on-the-same-rtx-3060/).
This time I wanted to point it at something harder to fake: a *specific,
demanding art tradition*. Not "an image in the style of," but **traditional
Chinese ink-wash painting — 水墨 (shui-mo) — on rice paper.**

It's a good test because the style is unforgiving. Real ink painting lives in
what *isn't* painted: the empty rice paper, the 留白 (liú bái) negative space,
the way a single dry-brush stroke suggests a whole pine tree. Get it slightly
wrong and it looks like a greeting card. So: can a five-year-old graphics card,
sitting in a home office, paint a convincing misty-mountain landscape? And how
close does it get to the cloud giants?

## The machine (still the same one)

Same RTX 3060, 12GB of VRAM, 64GB of system RAM, that this whole series is built
around — a card that shipped back in **2021**. Nothing upgraded.

## The test

One prompt, given to every model — a classic 山水 (shan-shui, "mountain-water")
scene:

> *Traditional Chinese ink wash painting on xuan rice paper: misty mountains, a
> lone fisherman's boat, gnarled pines on the cliffs, drifting fog, generous
> negative space, monochrome ink with grey gradients, a small red seal.*

Three models ran **locally on the 3060**. Three ran in the **cloud**, for
comparison.

## The local heroes — painted on the 3060

Here's the headline: **it works, and it works beautifully.** The trick isn't a
giant model — it's a tiny add-on. You take a general open image model already
running on the card and bolt on a **LoRA**: a small (~40–55MB) "style adapter"
trained on Chinese ink paintings. Drop the file in, add a trigger word, and the
model paints in that style.

**SDXL + a Chinese-ink LoRA** gave the most *authentic* result — loose,
expressive, with the faint colour washes and worn look of a scroll that has hung
on a wall for a century:

![A Chinese ink-wash landscape generated locally on an RTX 3060 with SDXL and a Chinese-ink LoRA: misty mountains, a small boat with two figures, pine trees, on aged rice paper](https://storage.googleapis.com/www-tyolab-com-blog-assets/images/blog/2026/09/now-it-paints-chinese-ink-landscapes-on-the-same-rtx-3060/sdxl-ink.png)

**FLUX.1-dev + an ink-style LoRA** was the more *refined* look — crisper pines,
deeper atmospheric mist, a flawless composition. It reads as premium modern
"digital ink" rather than a genuine antique, but as an image it's stunning:

![A Chinese ink-wash landscape generated locally on an RTX 3060 with FLUX and the zyd232 ink-style LoRA: sharp misty peaks, pine trees on cliffs, a lone boatman on a still river](https://storage.googleapis.com/www-tyolab-com-blog-assets/images/blog/2026/09/now-it-paints-chinese-ink-landscapes-on-the-same-rtx-3060/flux-zyd232.png)

Swap in a *different* ink LoRA and Flux shifts mood — softer, mistier, the peaks
dissolving further into fog — proof that the "look" is a small file you can
change, not a whole new model to download:

![A softer, mistier Chinese ink landscape from FLUX with a second ink-style LoRA (liujiyou), peaks dissolving into fog](https://storage.googleapis.com/www-tyolab-com-blog-assets/images/blog/2026/09/now-it-paints-chinese-ink-landscapes-on-the-same-rtx-3060/flux-liujiyou.png)

Each took **about a minute** on the 3060. Both came out of a card that cost less
than a phone, in a home office, for the price of the electricity.

## The honest numbers

<Table data={
    {
        headers: ['', 'Local (RTX 3060)', 'Cloud'],
        rows: [
            ['Setup', 'Forge + a ~50MB LoRA file', 'An API key'],
            ['Time per image', 'About 1 minute', 'Seconds to a minute'],
            ['Cost', 'Electricity', 'A fee per image'],
            ['Privacy', 'Nothing leaves the room', 'Sent to a server'],
            ['Chinese calligraphy', 'Decorative gibberish', 'Legible (gpt-image)'],
            ['Best for', 'Authentic painterly landscapes', 'When you need real text and seals'],
        ]
    }
} />

## The cloud ceiling

To see how far ahead the big players are, I gave the same prompt to three cloud
models. This is where you see both the ceiling — and the one thing local can't
yet touch.

**OpenAI's gpt-image** was the standout of the entire test. Not just
museum-grade brushwork, but **real, legible calligraphy** — it wrote an actual
classical couplet by the poet Du Fu, with a proper signature line and seal
stamps. Look at the characters in the top-left; they're *real writing*, not
decoration:

![A highly authentic Chinese ink landscape by OpenAI gpt-image, with real legible calligraphy, a signature line and red seals](https://storage.googleapis.com/www-tyolab-com-blog-assets/images/blog/2026/09/now-it-paints-chinese-ink-landscapes-on-the-same-rtx-3060/openai-gptimage.png)

**Zhipu's GLM (CogView-4)**, a Chinese model, produced a clean, textbook
shan-shui — confident and correct, if a little safe:

![A clean monochrome Chinese ink landscape by Zhipu GLM CogView-4](https://storage.googleapis.com/www-tyolab-com-blog-assets/images/blog/2026/09/now-it-paints-chinese-ink-landscapes-on-the-same-rtx-3060/glm-cogview.png)

**Google's Gemini** did something unexpected — it rendered the painting as a
fully *mounted hanging scroll on a wall*, silk border and all, plus two zoomed
detail crops. Impressive, but more a product photo than a painting:

![Google Gemini's take, showing the ink painting as a mounted hanging scroll on a wall with detail crops](https://storage.googleapis.com/www-tyolab-com-blog-assets/images/blog/2026/09/now-it-paints-chinese-ink-landscapes-on-the-same-rtx-3060/gemini.png)

## What I learned: the writing is the tell

Here's the interesting part. On the *painting* — the mountains, the mist, the
pines, the mood — the local 3060 results genuinely hold their own against the
cloud. Side by side, you'd struggle to pick the home-GPU images out of a lineup.

The gap is the **calligraphy.** Every local model painted beautiful *decorative*
brushstrokes where the inscription should be — squiggles that look like writing
but say nothing. Only gpt-image produced characters you can actually read. If
your painting needs a real poem or a legible seal, that's still a cloud job.
For everything else — the art itself — the card on your desk is enough.

## Where this leaves a small business

If you sell tea, run a restaurant, teach calligraphy, or just want a beautiful,
culturally-grounded header image for a newsletter, you no longer need a stock-art
subscription or a design agency. A modest computer you may already own can paint
you an original ink landscape in about a minute, privately, for the cost of the
power it draws — and you can generate a hundred variations until one is right.

The cloud still wins when the words on the page have to be real. But the *art*?
That quietly moved into the home office, onto a graphics card from 2021.

*Same card. Five years old. Now it paints.*


215c8cbaee653c59092628118433dd6fab0816de09b333db4b8e16dd3d1366b8

Generating traditional Chinese ink-wash painting (shui-mo / guohua) locally on a consumer RTX 3060 with SDXL and FLUX plus ink-style LoRAs, compared against cloud models (OpenAI gpt-image, Google Gemini, Zhipu GLM/CogView): real results, honest limits, and the one thing local models still can't do.

The fifth in our RTX 3060 series. We test whether a five-year-old 12GB graphics card can paint traditional Chinese ink-wash landscapes (shui-mo) on rice paper — locally, with open models — and pit the results against the cloud heavyweights.

Tag: Chinese Ink Painting

Tag: Chinese Ink Painting

Now It Paints: Chinese Ink Landscapes on the Same RTX 3060