List of graph nodes
Output nodes
Output
This node is the default output node. It shows the result of the whole graph.
Inputs:
- an image or value that will be output by the whole graph.
Parameters:
- Size: the final image size in pixel.
Input nodes
Color
Outputs:
- a 3 components RGB color.
Parameters:
- Color: the color to output.
Value
Outputs:
- a value between 0 and 1.
Parameters:
- Value: the value to output.
Image
Outputs:
- an image.
Parameters:
- File: the image file path.
Noise
Outputs:
- a Perlin noise image.
Parameters:
- Iterations: number of frequency iterations of the noise.
- Roughness: bluriness / roughness of the resulting noise.
- Frequency: noise frequency changes the noise appearance.
- Seed: enter different values to change the random seed of the noise.
Operator nodes
Add
Inputs:
- a first image A.
- a second image B.
Outputs:
- the addition of the two inputs. A + B.
Subtract
Inputs:
- a first image A.
- a second image B.
Outputs:
- the subtraction of the two inputs. A - B.
Multiply
Inputs:
- a first image A.
- a second image B.
Outputs:
- the multiplication of the two inputs. A * B.
Invert
Inputs:
- an image A.
Outputs:
- the invert of the input. 1 - A.
Mix
Inputs:
- a first image A.
- a second image B.
- a third image C to weight the mix between A and B.
Outputs:
- a linear interpolation between the two first inputs. A * C + B * ( 1 - C ).
Sample image
Inputs:
- an image A.
- a second image B used as U coordinate.
- a third image C used as V coordinate.
Outputs:
- a sampling of the image A at uv coordinates (B,C). tex( A, vec2(B,C) ).
Split
Inputs:
- an image A.
Outputs:
- a specified channel of the input image.
Parameters:
- Channel: the channel index of the input image to output. 0 for red, 1 for green, 2 for blue.
Gather
Inputs:
- an image A.
- an image B.
- an image C.
- an image D.
Outputs:
- an image made of the 4 channels of the 4 inputs. Red is taken from image A, green is taken from image B, blue is taken from image C, alpha is taken from image D.
Min
Inputs:
- an image A.
- an image B.
Outputs:
- the minimum between the two inputs. min( A, B ).
Max
Inputs:
- an image A.
- an image B.
Outputs:
- the maximum between the two inputs. max( A, B ).
Adjustment nodes
Clamp
Inputs:
- an image.
Outputs:
- the input image clamped between two values.
Parameters:
- Min: the min value under which the input is clamped.
- Max: the max value over which the input is clamped.
Levels
Inputs:
- an image.
Outputs:
- the input image after levels adjustments. Levels remap the image values.
Parameters:
- Input min: the minimum value for the remapping of input.
- Input max: the maximum value for the remapping of input.
- Output min: the minimum value for the remapping of output.
- Output max: the maximum value for the remapping of output.
Threshold
Inputs:
- an image.
Outputs:
- the input image after a threshold has been done. Everything under the treshold becomes black, everything over becomes white.
Parameters:
- Threshold: the treshold value.
- Smoothness: how smooth the threshold cut is. Do we go from black to white smoothly or not.
Gamma
Inputs:
- an image.
Outputs:
- the input image after gamma adjustment.
Parameters:
- Gamme: the gamma value.
HSL
Inputs:
- an image.
Outputs:
- the input image after hue, saturation and lightness adjustments.
Parameters:
- Hue: shift of the hue.
- Saturation: from -1 to fully desaturate to 1 to over-saturate.
- Lightness: change the lightness from -1 for black to 1 for white.
Brightness / Contrast
Inputs:
- an image.
Outputs:
- the input image after brightness and contrast adjustments.
Parameters:
- Brightness: value to adjust the brightness between -1 and 1.
- Contrast: value to adjust the contrast between -1 and 1.
Filter nodes
Gaussian blur
Inputs:
- an image.
Outputs:
- the input image after the gaussian blur has been applied.
Parameters:
- Radius: radius of the gaussian kernel in pixels.
- Strength: how blurry is the blur.
UV offset
Inputs:
- an image.
Outputs:
- the input image after translating its pixels horizontally and vertically.
Parameters:
- U offset: horizontal offset in number of pixels.
- V offset: vertical offset in number of pixels.
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