52 lines
2.4 KiB
Markdown
52 lines
2.4 KiB
Markdown
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# Solid Noise Generator — Krita Plugin
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A Krita plugin that generates solid Perlin noise at your canvas resolution. Supports configurable octave detail, scale, seed, and invert. Output is always contrast-stretched so the darkest pixel is pure black and the brightest is pure white.
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---
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## Installation
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1. In Krita, go to **Tools → Scripts → Import Python Plugin from File…**
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2. Select `solid_noise_plugin.zip`
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3. Restart Krita
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4. Go to **Settings → Configure Krita → Python Plugin Manager**, check **Solid Noise Generator**, click OK
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5. Restart Krita again
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6. Open the docker via **Settings → Dockers → Solid Noise Generator**
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> **Manual install:** If you prefer, extract the zip and copy `solid_noise.desktop` and the `solid_noise/` folder into your Krita `pykrita` directory:
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> - **Linux/macOS:** `~/.local/share/krita/pykrita/`
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> - **Windows:** `%APPDATA%\krita\pykrita\`
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---
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## Controls
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| Control | Description |
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|---|---|
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| **Octaves (1–16)** | Number of noise layers stacked together. 1 is smooth and cloud-like; 16 is highly detailed. Each octave doubles the frequency and halves the amplitude. |
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| **Scale** | Zoom level of the noise pattern. Higher values show more features across the canvas. |
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| **Seed** | Determines the random pattern. Same seed always produces the same result. Hit **Random** for a new one. |
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| **Invert** | Flips light and dark values. |
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| **Generate on new layer** | When checked, noise is painted onto a new layer so your existing content is untouched. |
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---
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## Performance
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On first use the plugin compiles a small C noise kernel using `gcc` (available by default on Linux, and via Xcode Command Line Tools on macOS). This makes generation very fast — around 0.1–0.5 seconds at 1080p depending on octave count. The status bar shows `[C]` when the fast path is active.
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If `gcc` is not found, the plugin falls back to a pure Python implementation automatically — same results, just slower.
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---
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## How it works
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Perlin noise is computed using **fractal Brownian motion (fBm)**: multiple octaves of noise are summed, each at double the frequency and half the amplitude of the last:
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```
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value = Σ 0.5^i × perlin(x × 2^i, y × 2^i)
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i=0..octaves-1
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```
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After all octaves are accumulated, the result is **contrast-stretched** so the minimum value maps to pure black (0) and the maximum to pure white (255), guaranteeing full tonal range regardless of settings.
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