Implement a linear-interpolation math node that maps an input value from an input range [in_min, in_max] onto an output range [out_min, out_max]. - node.py: SimpleLERP class (classic INPUT_TYPES/RETURN_TYPES pattern), float inputs for value and both ranges, plus a clamp toggle. Guards against a zero-width input range and supports inverted ranges. - __init__.py: export NODE_CLASS_MAPPINGS / NODE_DISPLAY_NAME_MAPPINGS for ComfyUI discovery. - README.md: usage, formula, and inputs/outputs tables. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
1.6 KiB
1.6 KiB
comfyui-lerp-node
A simple math node that performs linear interpolation between a base range and a mapped range.
SimpleLERP
Maps an input value from an input range [in_min, in_max] onto an output range
[out_min, out_max]:
t = (value - in_min) / (in_max - in_min)
output = out_min + t * (out_max - out_min)
Found in the node browser under the math category as Simple LERP.
Inputs
| Name | Type | Default | Description |
|---|---|---|---|
value |
FLOAT | 0.0 | The value to map. |
in_min |
FLOAT | 0.0 | Lower bound of the input range. |
in_max |
FLOAT | 1.0 | Upper bound of the input range. |
out_min |
FLOAT | 0.0 | Lower bound of the output range. |
out_max |
FLOAT | 1.0 | Upper bound of the output range. |
clamp |
BOOLEAN | False | If true, hold the result within the output range instead of extrapolating. |
Output
| Name | Type | Description |
|---|---|---|
value |
FLOAT | The interpolated result. |
Notes:
- With
clampoff, inputs outside[in_min, in_max]extrapolate beyond the output range. - Inverted ranges (e.g.
out_min > out_max) are supported. - If
in_min == in_max, the result isout_min(no division by zero).