change the frequency of the patterns in lines per inch/cm. The pixel mode is the old one in which you set the size of the cells manually. Those two modes are synched so changing the frequency will change cells size in terms of resolution and cell frequency. If you choose the same resolution as the resolution of the image then you can easily map the frequency values to real-life measures. On the other noise. OpenSimplex has less dimensional artifacts (the subtle “checker” texture often found high frequency Perlin noise) and is a ubiquitous open standard. Since OpenSimplex noise is important to texture

change the frequency of the patterns in lines per inch/cm. The pixel mode is the old one in which you set the size of the cells manually. Those two modes are synched so changing the frequency will change cells size in terms of resolution and cell frequency. If you choose the same resolution as the resolution of the image then you can easily map the frequency values to real-life measures. On the other noise. OpenSimplex has less dimensional artifacts (the subtle “checker” texture often found high frequency Perlin noise) and is a ubiquitous open standard. Since OpenSimplex noise is important to texture

change the frequency of the patterns in lines per inch/cm. The pixel mode is the old one in which you set the size of the cells manually. Those two modes are synched so changing the frequency will change cells size in terms of resolution and cell frequency. If you choose the same resolution as the resolution of the image then you can easily map the frequency values to real-life measures. On the other $b 外部変数はまたローカル割り当てでオーバーライドできます。これはイン スタンスのノイズ周波数をスケールするのに便利です: $P = $P * 10; # increase noise frequency fbm(vnoise($P) + $P/4) 名前空間付きの変数も定義できます、例えば: $A::a = $u * 10; 制御構造 SeExpr はよく知られた if 条件分岐を提供しています: