XY Plot¶
Documentation¶
- Class name:
easy XYPlot - Category:
EasyUse/Pipe - Output node:
False
The easyXYPlot node is designed to facilitate the creation and manipulation of XY plots, particularly in the context of visualizing and analyzing data points or conditions across two dimensions. It supports advanced features such as handling positive and negative conditions, integrating with control networks for specific adjustments, and customizing plot dynamics based on user-defined variables.
Input types¶
Required¶
grid_spacing- Specifies the spacing between grid lines in the XY plot, affecting the plot's granularity and readability.
- Comfy dtype:
INT - Python dtype:
int
output_individuals- Determines whether individual data points should be outputted separately, allowing for detailed analysis of each point.
- Comfy dtype:
COMBO[STRING] - Python dtype:
bool
flip_xy- Controls whether the X and Y axes should be flipped, altering the plot's orientation and perspective.
- Comfy dtype:
COMBO[STRING] - Python dtype:
bool
x_axis- Defines the label or identifier for the X-axis, contributing to the plot's contextual understanding.
- Comfy dtype:
COMBO[STRING] - Python dtype:
str
x_values- Represents the data points or conditions along the X-axis, directly influencing the plot's horizontal distribution.
- Comfy dtype:
STRING - Python dtype:
list
y_axis- Defines the label or identifier for the Y-axis, contributing to the plot's contextual understanding.
- Comfy dtype:
COMBO[STRING] - Python dtype:
str
y_values- Represents the data points or conditions along the Y-axis, directly influencing the plot's vertical distribution.
- Comfy dtype:
STRING - Python dtype:
list
Optional¶
pipe- An optional pipeline parameter that can be used to pass additional information or settings for the plot generation process.
- Comfy dtype:
PIPE_LINE - Python dtype:
dict
Output types¶
pipe- Comfy dtype:
PIPE_LINE - The modified or new pipeline configuration, including any changes or additions made through the plot settings.
- Python dtype:
dict
- Comfy dtype:
Usage tips¶
- Infra type:
CPU - Common nodes:
Source code¶
class pipeXYPlot:
lora_list = ["None"] + folder_paths.get_filename_list("loras")
lora_strengths = {"min": -4.0, "max": 4.0, "step": 0.01}
token_normalization = ["none", "mean", "length", "length+mean"]
weight_interpretation = ["comfy", "A1111", "compel", "comfy++"]
loader_dict = {
"ckpt_name": folder_paths.get_filename_list("checkpoints"),
"vae_name": ["Baked-VAE"] + folder_paths.get_filename_list("vae"),
"clip_skip": {"min": -24, "max": -1, "step": 1},
"lora_name": lora_list,
"lora_model_strength": lora_strengths,
"lora_clip_strength": lora_strengths,
"positive": [],
"negative": [],
}
sampler_dict = {
"steps": {"min": 1, "max": 100, "step": 1},
"cfg": {"min": 0.0, "max": 100.0, "step": 1.0},
"sampler_name": comfy.samplers.KSampler.SAMPLERS,
"scheduler": comfy.samplers.KSampler.SCHEDULERS,
"denoise": {"min": 0.0, "max": 1.0, "step": 0.01},
"seed": {"min": 0, "max": MAX_SEED_NUM},
}
plot_dict = {**sampler_dict, **loader_dict}
plot_values = ["None", ]
plot_values.append("---------------------")
for k in sampler_dict:
plot_values.append(f'preSampling: {k}')
plot_values.append("---------------------")
for k in loader_dict:
plot_values.append(f'loader: {k}')
def __init__(self):
pass
rejected = ["None", "---------------------", "Nothing"]
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"grid_spacing": ("INT", {"min": 0, "max": 500, "step": 5, "default": 0, }),
"output_individuals": (["False", "True"], {"default": "False"}),
"flip_xy": (["False", "True"], {"default": "False"}),
"x_axis": (pipeXYPlot.plot_values, {"default": 'None'}),
"x_values": (
"STRING", {"default": '', "multiline": True, "placeholder": 'insert values seperated by "; "'}),
"y_axis": (pipeXYPlot.plot_values, {"default": 'None'}),
"y_values": (
"STRING", {"default": '', "multiline": True, "placeholder": 'insert values seperated by "; "'}),
},
"optional": {
"pipe": ("PIPE_LINE",)
},
"hidden": {
"plot_dict": (pipeXYPlot.plot_dict,),
},
}
RETURN_TYPES = ("PIPE_LINE",)
RETURN_NAMES = ("pipe",)
FUNCTION = "plot"
CATEGORY = "EasyUse/Pipe"
def plot(self, grid_spacing, output_individuals, flip_xy, x_axis, x_values, y_axis, y_values, pipe=None):
def clean_values(values):
original_values = values.split("; ")
cleaned_values = []
for value in original_values:
# Strip the semi-colon
cleaned_value = value.strip(';').strip()
if cleaned_value == "":
continue
# Try to convert the cleaned_value back to int or float if possible
try:
cleaned_value = int(cleaned_value)
except ValueError:
try:
cleaned_value = float(cleaned_value)
except ValueError:
pass
# Append the cleaned_value to the list
cleaned_values.append(cleaned_value)
return cleaned_values
if x_axis in self.rejected:
x_axis = "None"
x_values = []
else:
x_values = clean_values(x_values)
if y_axis in self.rejected:
y_axis = "None"
y_values = []
else:
y_values = clean_values(y_values)
if flip_xy == "True":
x_axis, y_axis = y_axis, x_axis
x_values, y_values = y_values, x_values
xy_plot = {"x_axis": x_axis,
"x_vals": x_values,
"y_axis": y_axis,
"y_vals": y_values,
"grid_spacing": grid_spacing,
"output_individuals": output_individuals}
if pipe is not None:
new_pipe = pipe
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"xyplot": xy_plot
}
del pipe
return (new_pipe, xy_plot,)