XY Plot Advanced¶
Documentation¶
- Class name:
easy XYPlotAdvanced - Category:
EasyUse/Pipe - Output node:
False
The easy XYPlotAdvanced node is designed for advanced plotting capabilities within a pipeline, allowing for the customization of plots based on various conditions and parameters. It integrates complex plotting logic with conditional processing to enhance visualization and analysis of data.
Input types¶
Required¶
pipe- Represents the pipeline configuration to which the advanced XY plotting logic will be applied, serving as the foundation for plot customization and enhancement.
- Comfy dtype:
PIPE_LINE - Python dtype:
dict
grid_spacing- Specifies the spacing between grid points in the plot, allowing for fine-tuned control over the plot's visual density and layout.
- Comfy dtype:
INT - Python dtype:
int
output_individuals- A boolean parameter that determines whether individual plot elements should be output separately, enabling detailed analysis of each component.
- Comfy dtype:
COMBO[STRING] - Python dtype:
bool
flip_xy- A boolean parameter that, when true, swaps the x and y axes of the plot, offering flexibility in how data is presented and analyzed.
- Comfy dtype:
COMBO[STRING] - Python dtype:
bool
Optional¶
X- Optional parameter representing the x-axis data and its configuration, allowing for dynamic adjustment of the plot's horizontal axis.
- Comfy dtype:
X_Y - Python dtype:
dict
Y- Optional parameter representing the y-axis data and its configuration, allowing for dynamic adjustment of the plot's vertical axis.
- Comfy dtype:
X_Y - Python dtype:
dict
Output types¶
pipe- Comfy dtype:
PIPE_LINE - Returns the modified pipeline configuration, now including the advanced XY plot settings, facilitating further processing or visualization.
- Python dtype:
dict
- Comfy dtype:
Usage tips¶
- Infra type:
CPU - Common nodes: unknown
Source code¶
class pipeXYPlotAdvanced:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"pipe": ("PIPE_LINE",),
"grid_spacing": ("INT", {"min": 0, "max": 500, "step": 5, "default": 0, }),
"output_individuals": (["False", "True"], {"default": "False"}),
"flip_xy": (["False", "True"], {"default": "False"}),
},
"optional": {
"X": ("X_Y",),
"Y": ("X_Y",),
},
"hidden": {"my_unique_id": "UNIQUE_ID"}
}
RETURN_TYPES = ("PIPE_LINE",)
RETURN_NAMES = ("pipe",)
FUNCTION = "plot"
CATEGORY = "EasyUse/Pipe"
def plot(self, pipe, grid_spacing, output_individuals, flip_xy, X=None, Y=None, my_unique_id=None):
if X != None:
x_axis = X.get('axis')
x_values = X.get('values')
else:
x_axis = "Nothing"
x_values = [""]
if Y != None:
y_axis = Y.get('axis')
y_values = Y.get('values')
else:
y_axis = "Nothing"
y_values = [""]
if pipe is not None:
new_pipe = pipe
positive = pipe["loader_settings"]["positive"] if "positive" in pipe["loader_settings"] else ""
negative = pipe["loader_settings"]["negative"] if "negative" in pipe["loader_settings"] else ""
if x_axis == 'advanced: ModelMergeBlocks':
models = X.get('models')
vae_use = X.get('vae_use')
if models is None:
raise Exception("models is not found")
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"models": models,
"vae_use": vae_use
}
if y_axis == 'advanced: ModelMergeBlocks':
models = Y.get('models')
vae_use = Y.get('vae_use')
if models is None:
raise Exception("models is not found")
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"models": models,
"vae_use": vae_use
}
if x_axis in ['advanced: Lora', 'advanced: Checkpoint']:
lora_stack = X.get('lora_stack')
_lora_stack = []
if lora_stack is not None:
for lora in lora_stack:
_lora_stack.append(
{"lora_name": lora[0], "model": pipe['model'], "clip": pipe['clip'], "model_strength": lora[1],
"clip_strength": lora[2]})
del lora_stack
x_values = "; ".join(x_values)
lora_stack = pipe['lora_stack'] + _lora_stack if 'lora_stack' in pipe else _lora_stack
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"lora_stack": lora_stack,
}
if y_axis in ['advanced: Lora', 'advanced: Checkpoint']:
lora_stack = Y.get('lora_stack')
_lora_stack = []
if lora_stack is not None:
for lora in lora_stack:
_lora_stack.append(
{"lora_name": lora[0], "model": pipe['model'], "clip": pipe['clip'], "model_strength": lora[1],
"clip_strength": lora[2]})
del lora_stack
y_values = "; ".join(y_values)
lora_stack = pipe['lora_stack'] + _lora_stack if 'lora_stack' in pipe else _lora_stack
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"lora_stack": lora_stack,
}
if x_axis == 'advanced: Seeds++ Batch':
if new_pipe['seed']:
value = x_values
x_values = []
for index in range(value):
x_values.append(str(new_pipe['seed'] + index))
x_values = "; ".join(x_values)
if y_axis == 'advanced: Seeds++ Batch':
if new_pipe['seed']:
value = y_values
y_values = []
for index in range(value):
y_values.append(str(new_pipe['seed'] + index))
y_values = "; ".join(y_values)
if x_axis == 'advanced: Positive Prompt S/R':
if positive:
x_value = x_values
x_values = []
for index, value in enumerate(x_value):
search_txt, replace_txt, replace_all = value
if replace_all:
txt = replace_txt if replace_txt is not None else positive
x_values.append(txt)
else:
txt = positive.replace(search_txt, replace_txt, 1) if replace_txt is not None else positive
x_values.append(txt)
x_values = "; ".join(x_values)
if y_axis == 'advanced: Positive Prompt S/R':
if positive:
y_value = y_values
y_values = []
for index, value in enumerate(y_value):
search_txt, replace_txt, replace_all = value
if replace_all:
txt = replace_txt if replace_txt is not None else positive
y_values.append(txt)
else:
txt = positive.replace(search_txt, replace_txt, 1) if replace_txt is not None else positive
y_values.append(txt)
y_values = "; ".join(y_values)
if x_axis == 'advanced: Negative Prompt S/R':
if negative:
x_value = x_values
x_values = []
for index, value in enumerate(x_value):
search_txt, replace_txt, replace_all = value
if replace_all:
txt = replace_txt if replace_txt is not None else negative
x_values.append(txt)
else:
txt = negative.replace(search_txt, replace_txt, 1) if replace_txt is not None else negative
x_values.append(txt)
x_values = "; ".join(x_values)
if y_axis == 'advanced: Negative Prompt S/R':
if negative:
y_value = y_values
y_values = []
for index, value in enumerate(y_value):
search_txt, replace_txt, replace_all = value
if replace_all:
txt = replace_txt if replace_txt is not None else negative
y_values.append(txt)
else:
txt = negative.replace(search_txt, replace_txt, 1) if replace_txt is not None else negative
y_values.append(txt)
y_values = "; ".join(y_values)
if "advanced: ControlNet" in x_axis:
x_value = x_values
x_values = []
cnet = []
for index, value in enumerate(x_value):
cnet.append(value)
x_values.append(str(index))
x_values = "; ".join(x_values)
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"cnet_stack": cnet,
}
if "advanced: ControlNet" in y_axis:
y_value = y_values
y_values = []
cnet = []
for index, value in enumerate(y_value):
cnet.append(value)
y_values.append(str(index))
y_values = "; ".join(y_values)
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"cnet_stack": cnet,
}
if "advanced: Pos Condition" in x_axis:
x_values = "; ".join(x_values)
cond = X.get('cond')
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"positive_cond_stack": cond,
}
if "advanced: Pos Condition" in y_axis:
y_values = "; ".join(y_values)
cond = Y.get('cond')
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"positive_cond_stack": cond,
}
if "advanced: Neg Condition" in x_axis:
x_values = "; ".join(x_values)
cond = X.get('cond')
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"negative_cond_stack": cond,
}
if "advanced: Neg Condition" in y_axis:
y_values = "; ".join(y_values)
cond = Y.get('cond')
new_pipe['loader_settings'] = {
**pipe['loader_settings'],
"negative_cond_stack": cond,
}
del pipe
return pipeXYPlot().plot(grid_spacing, output_individuals, flip_xy, x_axis, x_values, y_axis, y_values, new_pipe)