XY Input: Steps¶
Documentation¶
- Class name:
XY Input: Steps
- Category:
Efficiency Nodes/XY Inputs
- Output node:
False
The node is designed to generate a sequence of values based on specified step parameters within a given range, tailored for batch processing or iterative operations. It abstracts the complexity of generating step sequences, facilitating efficient data manipulation and visualization in XY plots.
Input types¶
Required¶
target_parameter
- Specifies the parameter to target for generating step values, influencing the sequence generation process.
- Comfy dtype:
COMBO[STRING]
- Python dtype:
str
batch_count
- Determines the number of values to generate, directly affecting the length of the output sequence.
- Comfy dtype:
INT
- Python dtype:
int
first_step
- The starting value of the step sequence, setting the initial point for generation.
- Comfy dtype:
INT
- Python dtype:
int
last_step
- The ending value of the step sequence, defining the final point in the generated sequence.
- Comfy dtype:
INT
- Python dtype:
int
first_start_step
- Defines the initial step value for the start_at_step parameter, influencing the starting point of the sequence.
- Comfy dtype:
INT
- Python dtype:
int
last_start_step
- Specifies the final step value for the start_at_step parameter, affecting the sequence's commencement point.
- Comfy dtype:
INT
- Python dtype:
int
first_end_step
- Sets the beginning step value for the end_at_step parameter, impacting the sequence's termination point.
- Comfy dtype:
INT
- Python dtype:
int
last_end_step
- Determines the concluding step value for the end_at_step parameter, defining the end point of the sequence.
- Comfy dtype:
INT
- Python dtype:
int
first_refine_step
- Indicates the initial step value for the refine_at_step parameter, affecting the refinement start point of the sequence.
- Comfy dtype:
INT
- Python dtype:
int
last_refine_step
- Specifies the last step value for the refine_at_step parameter, influencing the refinement end point of the sequence.
- Comfy dtype:
INT
- Python dtype:
int
Output types¶
X or Y
- Comfy dtype:
XY
- A tuple containing the type of step sequence generated (X or Y) and the sequence itself, facilitating further processing or visualization.
- Python dtype:
Tuple[str, List[int]]
- Comfy dtype:
Usage tips¶
- Infra type:
CPU
- Common nodes:
Source code¶
class TSC_XYplot_Steps:
parameters = ["steps","start_at_step", "end_at_step", "refine_at_step"]
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"target_parameter": (cls.parameters,),
"batch_count": ("INT", {"default": XYPLOT_DEF, "min": 0, "max": XYPLOT_LIM}),
"first_step": ("INT", {"default": 10, "min": 1, "max": 10000}),
"last_step": ("INT", {"default": 20, "min": 1, "max": 10000}),
"first_start_step": ("INT", {"default": 0, "min": 0, "max": 10000}),
"last_start_step": ("INT", {"default": 10, "min": 0, "max": 10000}),
"first_end_step": ("INT", {"default": 10, "min": 0, "max": 10000}),
"last_end_step": ("INT", {"default": 20, "min": 0, "max": 10000}),
"first_refine_step": ("INT", {"default": 10, "min": 0, "max": 10000}),
"last_refine_step": ("INT", {"default": 20, "min": 0, "max": 10000}),
}
}
RETURN_TYPES = ("XY",)
RETURN_NAMES = ("X or Y",)
FUNCTION = "xy_value"
CATEGORY = "Efficiency Nodes/XY Inputs"
def xy_value(self, target_parameter, batch_count, first_step, last_step, first_start_step, last_start_step,
first_end_step, last_end_step, first_refine_step, last_refine_step):
if target_parameter == "steps":
xy_type = "Steps"
xy_first = first_step
xy_last = last_step
elif target_parameter == "start_at_step":
xy_type = "StartStep"
xy_first = first_start_step
xy_last = last_start_step
elif target_parameter == "end_at_step":
xy_type = "EndStep"
xy_first = first_end_step
xy_last = last_end_step
elif target_parameter == "refine_at_step":
xy_type = "RefineStep"
xy_first = first_refine_step
xy_last = last_refine_step
xy_value = generate_ints(batch_count, xy_first, xy_last)
return ((xy_type, xy_value),) if xy_value else (None,)