Files
lldacing-comfyui-easyapi-nodes/easyapi/UtilNode.py
T
2024-05-24 10:51:15 +08:00

390 lines
9.0 KiB
Python

import torch
from comfy.model_patcher import ModelPatcher
import comfy.model_base
from .util import tensor_to_pil, hex_to_rgba
class GetImageBatchSize:
@classmethod
def INPUT_TYPES(self):
return {"required": {
"image": ('IMAGE', {}),
},
}
RETURN_TYPES = ("NUMBER", "INT", "FLOAT",)
RETURN_NAMES = ("number", "int", "float",)
FUNCTION = "batch_size"
OUTPUT_NODE = False
CATEGORY = "EasyApi/Image"
# INPUT_IS_LIST = False
# OUTPUT_IS_LIST = (False, False)
def batch_size(self, image):
size = image.shape[0]
return (size, size, float(size),)
class JoinList:
@classmethod
def INPUT_TYPES(self):
return {"required": {
"lst": ('LIST', {}),
"delimiter": ('STRING', {"default": ','},),
},
}
RETURN_TYPES = ("STRING",)
# RETURN_NAMES = ("STRING", )
FUNCTION = "join"
OUTPUT_NODE = False
CATEGORY = "EasyApi/List"
# INPUT_IS_LIST = False
# OUTPUT_IS_LIST = (False, False)
def join(self, lst, delimiter=','):
lst = delimiter.join(list(map(str, lst)))
return (lst,)
class IntToNumber:
@classmethod
def INPUT_TYPES(self):
return {"required": {
"INT": ('INT', {"forceInput": True}),
},
}
RETURN_TYPES = ("NUMBER",)
FUNCTION = "convert"
OUTPUT_NODE = False
CATEGORY = "EasyApi/Integer"
def convert(self, INT):
return (INT,)
class IntToList:
@classmethod
def INPUT_TYPES(self):
return {
"required": {
"int_a": ('INT', {"forceInput": True}),
},
"optional": {
"int_b": ('INT', {"forceInput": True}),
}
}
RETURN_TYPES = ("LIST",)
FUNCTION = "convert"
OUTPUT_NODE = False
CATEGORY = "EasyApi/Integer"
def convert(self, int_a, int_b=None):
list = [int_a]
if int_b:
list.append(int_b)
return (list,)
class StringToList:
@classmethod
def INPUT_TYPES(self):
return {
"required": {
"str_a": ('STRING', {"forceInput": True}),
},
"optional": {
"str_b": ('STRING', {"forceInput": True}),
}
}
RETURN_TYPES = ("LIST",)
FUNCTION = "convert"
OUTPUT_NODE = False
CATEGORY = "EasyApi/String"
def convert(self, str_a, str_b=None):
list = [str_a]
if str_b:
list.append(str_b)
return (list,)
class ListMerge:
@classmethod
def INPUT_TYPES(self):
return {
"required": {
"list_a": ('LIST', {"forceInput": True}),
},
"optional": {
"list_b": ('LIST', {"forceInput": True}),
}
}
RETURN_TYPES = ("LIST",)
FUNCTION = "convert"
OUTPUT_NODE = False
CATEGORY = "EasyApi/String"
def convert(self, list_a, list_b=None):
list = [] + list_a
if list_b:
list = list + list_b
return (list,)
class ShowString:
@classmethod
def INPUT_TYPES(self):
return {
"required": {
"str": ("STRING", {"forceInput": True}),
"key": ('STRING', {"default": "text"}),
}
}
RETURN_TYPES = ("STRING",)
FUNCTION = "show"
CATEGORY = "EasyApi/String"
# 作为输出节点,返回数据格式是{"ui": {output_name:value}, "result": (value,)}
# ui中是websocket返回给前端的内容,result是py执行传给下个节点用的
OUTPUT_NODE = True
def show(self, str, key):
return {"ui": {key: (str,)}, "result": (str,)}
class ShowInt:
@classmethod
def INPUT_TYPES(self):
return {
"required": {
"INT": ("INT", {"forceInput": True}),
"key": ('STRING', {"default": "text"}),
}
}
RETURN_TYPES = ("INT",)
FUNCTION = "show"
CATEGORY = "EasyApi/Integer"
# 作为输出节点,返回数据格式是{"ui": {output_name:value}, "result": (value,)}
# ui中是websocket返回给前端的内容,result是py执行传给下个节点用的
OUTPUT_NODE = True
def show(self, INT, key):
return {"ui": {key: (INT,)}, "result": (INT,)}
class ShowFloat:
@classmethod
def INPUT_TYPES(self):
return {
"required": {
"FLOAT": ("FLOAT", {"forceInput": True}),
"key": ('STRING', {"default": "text"}),
}
}
RETURN_TYPES = ("FLOAT",)
FUNCTION = "show"
CATEGORY = "EasyApi/Float"
# 作为输出节点,返回数据格式是{"ui": {output_name:value}, "result": (value,)}
# ui中是websocket返回给前端的内容,result是py执行传给下个节点用的
OUTPUT_NODE = True
def show(self, FLOAT, key):
return {"ui": {key: (FLOAT,)}, "result": (FLOAT,)}
class ShowNumber:
@classmethod
def INPUT_TYPES(self):
return {
"required": {
"number": ("NUMBER", {"forceInput": True}),
"key": ('STRING', {"default": "text"}),
}
}
RETURN_TYPES = ("NUMBER",)
FUNCTION = "show"
CATEGORY = "EasyApi/Number"
# 作为输出节点,返回数据格式是{"ui": {output_name:value}, "result": (value,)}
# ui中是websocket返回给前端的内容,result是py执行传给下个节点用的
OUTPUT_NODE = True
def show(self, number, key):
return {"ui": {key: (number,)}, "result": (number,)}
class ShowBoolean:
@classmethod
def INPUT_TYPES(self):
return {
"required": {
"Bool": ("BOOLEAN", {"forceInput": True}),
"key": ('STRING', {"default": "text"}),
}
}
RETURN_TYPES = ("BOOLEAN",)
FUNCTION = "show"
CATEGORY = "EasyApi/Boolean"
OUTPUT_NODE = True
def show(self, Bool, key):
return {"ui": {key: (Bool,)}, "result": (Bool,)}
class ColorPicker:
@classmethod
def INPUT_TYPES(s):
return {"required":
{
"color": ("SINGLECOLORPICKER",),
},
}
RETURN_TYPES = ("STRING", "STRING", "STRING", "INT",)
RETURN_NAMES = ("HEX", "RGBA", "RGB", "A",)
FUNCTION = "picker"
CATEGORY = "EasyApi/Color"
INPUT_IS_LIST = False
OUTPUT_IS_LIST = (False, False, False, False, )
def picker(self, color):
r, g, b, a = hex_to_rgba(color)
h = color
rgba = f"#{r:02X}{g:02X}{b:02X}{a:02X}"
rgb = f"#{r:02X}{g:02X}{b:02X}"
return h, rgba, rgb, a,
class ImageEqual:
@classmethod
def INPUT_TYPES(s):
return {"required":
{
"a": ("IMAGE",),
"b": ('IMAGE',),
},
}
RETURN_TYPES = ("BOOLEAN",)
RETURN_NAMES = ("is_b",)
FUNCTION = "compare"
CATEGORY = "EasyApi/Image"
INPUT_IS_LIST = False
OUTPUT_IS_LIST = (False, )
def compare(self, a, b):
return torch.all(a == b),
# from ComfyUI-layer_diffusion
def get_model_sd_version(model: ModelPatcher):
base: comfy.model_base.BaseModel = model.model
model_config: comfy.supported_models.supported_models_base.BASE = base.model_config
if isinstance(model_config, comfy.supported_models.SDXL):
return False, True
elif isinstance(
model_config, (comfy.supported_models.SD15, comfy.supported_models.SD20)
):
# SD15 and SD20 are compatible with each other.
return True, False
else:
return False, False
class SDBaseVerNumber:
@classmethod
def INPUT_TYPES(s):
return {"required":
{
"model": ("MODEL",),
},
}
RETURN_TYPES = ("BOOLEAN", "BOOLEAN",)
RETURN_NAMES = ("sd1.5", "sdxl",)
FUNCTION = "exec"
CATEGORY = "EasyApi/Logic"
INPUT_IS_LIST = False
OUTPUT_IS_LIST = (False, False, )
def exec(self, model):
return (*get_model_sd_version(model),)
NODE_CLASS_MAPPINGS = {
"GetImageBatchSize": GetImageBatchSize,
"JoinList": JoinList,
"IntToNumber": IntToNumber,
"StringToList": StringToList,
"IntToList": IntToList,
"ListMerge": ListMerge,
"ShowString": ShowString,
"ShowInt": ShowInt,
"ShowNumber": ShowNumber,
"ShowFloat": ShowFloat,
"ShowBoolean": ShowBoolean,
"ColorPicker": ColorPicker,
"ImageEqual": ImageEqual,
"SDBaseVerNumber": SDBaseVerNumber,
}
# A dictionary that contains the friendly/humanly readable titles for the nodes
NODE_DISPLAY_NAME_MAPPINGS = {
"GetImageBatchSize": "GetImageBatchSize",
"JoinList": "Join List",
"IntToNumber": "Int To Number",
"StringToList": "String To List",
"IntToList": "Int To List",
"ListMerge": "Merge List",
"ShowString": "Show String",
"ShowInt": "Show Int",
"ShowNumber": "Show Number",
"ShowFloat": "Show Float",
"ShowBoolean": "Show Boolean",
"ColorPicker": "Color Picker",
"ImageEqual": "Image Equal Judgment",
"SDBaseVerNumber": "SD Base Version Number",
}