diff --git a/py/api.py b/py/api.py index 014c886..fae60d5 100644 --- a/py/api.py +++ b/py/api.py @@ -7,7 +7,6 @@ from folder_paths import get_directory_by_type from server import PromptServer from .config import RESOURCES_DIR, FOOOCUS_STYLES_DIR, FOOOCUS_STYLES_SAMPLES -from .logic import ConvertAnything from .libs.model import easyModelManager from .libs.utils import getMetadata, cleanGPUUsedForce, get_local_filepath from .libs.cache import remove_cache @@ -123,18 +122,6 @@ async def getStylesImage(request): return web.Response(text=FOOOCUS_STYLES_SAMPLES + name + '.jpg') return web.Response(status=400) -# convert type -@PromptServer.instance.routes.post("/easyuse/convert") -async def convertType(request): - post = await request.post() - type = post.get('type') - if type: - ConvertAnything.RETURN_TYPES = (type.upper(),) - ConvertAnything.RETURN_NAMES = (type,) - return web.Response(status=200) - else: - return web.Response(status=400) - # get models lists @PromptServer.instance.routes.get("/easyuse/models/list") async def getModelsList(request): diff --git a/py/image.py b/py/image.py index 3a5ef11..91539f4 100644 --- a/py/image.py +++ b/py/image.py @@ -1523,46 +1523,46 @@ def listdir(path, dir_name=''): # 姿势编辑器 -class poseEditor: - @classmethod - def INPUT_TYPES(self): - temp_dir = folder_paths.get_temp_directory() - - if not os.path.isdir(temp_dir): - os.makedirs(temp_dir) - - temp_dir = folder_paths.get_temp_directory() - - return {"required": - {"image": (sorted(os.listdir(temp_dir)),)}, - } - - RETURN_TYPES = ("IMAGE",) - FUNCTION = "output_pose" - - CATEGORY = "EasyUse/Image" - - def output_pose(self, image): - image_path = os.path.join(folder_paths.get_temp_directory(), image) - # print(f"Create: {image_path}") - - i = Image.open(image_path) - image = i.convert("RGB") - image = np.array(image).astype(np.float32) / 255.0 - image = torch.from_numpy(image)[None,] - - return (image,) - - @classmethod - def IS_CHANGED(self, image): - image_path = os.path.join( - folder_paths.get_temp_directory(), image) - # print(f'Change: {image_path}') - - m = hashlib.sha256() - with open(image_path, 'rb') as f: - m.update(f.read()) - return m.digest().hex() +# class poseEditor: +# @classmethod +# def INPUT_TYPES(self): +# temp_dir = folder_paths.get_temp_directory() +# +# if not os.path.isdir(temp_dir): +# os.makedirs(temp_dir) +# +# temp_dir = folder_paths.get_temp_directory() +# +# return {"required": +# {"image": (sorted(os.listdir(temp_dir)),)}, +# } +# +# RETURN_TYPES = ("IMAGE",) +# FUNCTION = "output_pose" +# +# CATEGORY = "EasyUse/🚫 Deprecated" +# +# def output_pose(self, image): +# image_path = os.path.join(folder_paths.get_temp_directory(), image) +# # print(f"Create: {image_path}") +# +# i = Image.open(image_path) +# image = i.convert("RGB") +# image = np.array(image).astype(np.float32) / 255.0 +# image = torch.from_numpy(image)[None,] +# +# return (image,) +# +# @classmethod +# def IS_CHANGED(self, image): +# image_path = os.path.join( +# folder_paths.get_temp_directory(), image) +# # print(f'Change: {image_path}') +# +# m = hashlib.sha256() +# with open(image_path, 'rb') as f: +# m.update(f.read()) +# return m.digest().hex() NODE_CLASS_MAPPINGS = { "easy imageInsetCrop": imageInsetCrop, @@ -1595,7 +1595,6 @@ def IS_CHANGED(self, image): "easy joinImageBatch": JoinImageBatch, "easy humanSegmentation": humanSegmentation, "easy removeLocalImage": removeLocalImage, - "easy poseEditor": poseEditor } NODE_DISPLAY_NAME_MAPPINGS = { @@ -1630,5 +1629,4 @@ def IS_CHANGED(self, image): "easy imageToBase64": "Image To Base64", "easy humanSegmentation": "Human Segmentation", "easy removeLocalImage": "Remove Local Image", - "easy poseEditor": "PoseEditor", } \ No newline at end of file diff --git a/py/logic.py b/py/logic.py index 9809203..498201d 100644 --- a/py/logic.py +++ b/py/logic.py @@ -1,10 +1,17 @@ from typing import Iterator, List, Tuple, Dict, Any, Union, Optional from _decimal import Context, getcontext from decimal import Decimal -from .libs.utils import AlwaysEqualProxy, ByPassTypeTuple, cleanGPUUsedForce +from .libs.utils import AlwaysEqualProxy, ByPassTypeTuple, cleanGPUUsedForce, compare_revision from .libs.cache import remove_cache import numpy as np +import re import json +import torch +import comfy.utils + +DEFAULT_FLOW_NUM = 2 +MAX_FLOW_NUM = 10 +lazy_options = {"lazy": True} if compare_revision(2543) else {} def validate_list_args(args: Dict[str, List[Any]]) -> Tuple[bool, Optional[str], Optional[str]]: """ @@ -302,7 +309,457 @@ def switch(self, input, text1=None, text2=None,): else: return (text2,) -# ---------------------------------------------------------------运算 开始----------------------------------------------------------------------# +# ---------------------------------------------------------------Index Switch----------------------------------------------------------------------# + +class anythingIndexSwitch: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + inputs = { + "required": { + "index": ("INT", {"default": 0, "min": 0, "max": 9, "step": 1}), + }, + "optional": { + } + } + for i in range(DEFAULT_FLOW_NUM): + inputs["optional"]["value%d" % i] = (AlwaysEqualProxy("*"),lazy_options) + return inputs + + RETURN_TYPES = (AlwaysEqualProxy("*"),) + RETURN_NAMES = ("value",) + FUNCTION = "index_switch" + + CATEGORY = "EasyUse/Logic/Index Switch" + + def check_lazy_status(self, index, **kwargs): + key = "value%d" % index + if kwargs.get(key, None) is None: + return [key] + + def index_switch(self, index, **kwargs): + key = "value%d" % index + return (kwargs[key],) + +class imageIndexSwitch: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + inputs = { + "required": { + "index": ("INT", {"default": 0, "min": 0, "max": 9, "step": 1}), + }, + "optional": { + } + } + for i in range(DEFAULT_FLOW_NUM): + inputs["optional"]["image%d" % i] = ("IMAGE",lazy_options) + return inputs + + RETURN_TYPES = ("IMAGE",) + RETURN_NAMES = ("image",) + FUNCTION = "index_switch" + + CATEGORY = "EasyUse/Logic/Index Switch" + + def check_lazy_status(self, index, **kwargs): + key = "image%d" % index + if kwargs.get(key, None) is None: + return [key] + + def index_switch(self, index, **kwargs): + key = "image%d" % index + return (kwargs[key],) + +class textIndexSwitch: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + inputs = { + "required": { + "index": ("INT", {"default": 0, "min": 0, "max": 9, "step": 1}), + }, + "optional": { + } + } + for i in range(DEFAULT_FLOW_NUM): + inputs["optional"]["text%d" % i] = ("STRING",{**lazy_options,"forceInput":True}) + return inputs + + RETURN_TYPES = ("STRING",) + RETURN_NAMES = ("text",) + FUNCTION = "index_switch" + + CATEGORY = "EasyUse/Logic/Index Switch" + + def check_lazy_status(self, index, **kwargs): + key = "text%d" % index + if kwargs.get(key, None) is None: + return [key] + + def index_switch(self, index, **kwargs): + key = "text%d" % index + return (kwargs[key],) + +class conditioningIndexSwitch: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + inputs = { + "required": { + "index": ("INT", {"default": 0, "min": 0, "max": 9, "step": 1}), + }, + "optional": { + } + } + for i in range(DEFAULT_FLOW_NUM): + inputs["optional"]["cond%d" % i] = ("CONDITIONING",lazy_options) + return inputs + + RETURN_TYPES = ("CONDITIONING",) + RETURN_NAMES = ("conditioning",) + FUNCTION = "index_switch" + + CATEGORY = "EasyUse/Logic/Index Switch" + + def check_lazy_status(self, index, **kwargs): + key = "cond%d" % index + if kwargs.get(key, None) is None: + return [key] + + def index_switch(self, index, **kwargs): + key = "cond%d" % index + return (kwargs[key],) + +# ---------------------------------------------------------------Math----------------------------------------------------------------------# +class mathIntOperation: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "a": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}), + "b": ("INT", {"default": 0, "min": -0xffffffffffffffff, "max": 0xffffffffffffffff, "step": 1}), + "operation": (["add", "subtract", "multiply", "divide", "modulo", "power"],), + }, + } + + RETURN_TYPES = ("INT",) + FUNCTION = "int_math_operation" + + CATEGORY = "EasyUse/Logic/Math" + + def int_math_operation(self, a, b, operation): + if operation == "add": + return (a + b,) + elif operation == "subtract": + return (a - b,) + elif operation == "multiply": + return (a * b,) + elif operation == "divide": + return (a // b,) + elif operation == "modulo": + return (a % b,) + elif operation == "power": + return (a ** b,) + +class mathFloatOperation: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "a": ("FLOAT", {"default": 0, "min": -999999999999.0, "max": 999999999999.0, "step": 1}), + "b": ("FLOAT", {"default": 0, "min": -999999999999.0, "max": 999999999999.0, "step": 1}), + "operation": (["==", "!=", "<", ">", "<=", ">="],), + }, + } + + RETURN_TYPES = ("BOOLEAN",) + FUNCTION = "float_math_operation" + + CATEGORY = "EasyUse/Logic/Math" + + def float_math_operation(self, a, b, operation): + if operation == "==": + return (a == b,) + elif operation == "!=": + return (a != b,) + elif operation == "<": + return (a < b,) + elif operation == ">": + return (a > b,) + elif operation == "<=": + return (a <= b,) + elif operation == ">=": + return (a >= b,) + +class mathStringOperation: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "a": ("STRING", {"multiline": False}), + "b": ("STRING", {"multiline": False}), + "operation": (["a == b", "a != b", "a IN b", "a MATCH REGEX(b)", "a BEGINSWITH b", "a ENDSWITH b"],), + "case_sensitive": ("BOOLEAN", {"default": True}), + }, + } + + RETURN_TYPES = ("BOOLEAN",) + FUNCTION = "string_math_operation" + + CATEGORY = "EasyUse/Logic/Math" + + def string_math_operation(self, a, b, operation, case_sensitive): + if not case_sensitive: + a = a.lower() + b = b.lower() + + if operation == "a == b": + return (a == b,) + elif operation == "a != b": + return (a != b,) + elif operation == "a IN b": + return (a in b,) + elif operation == "a MATCH REGEX(b)": + try: + return (re.match(b, a) is not None,) + except: + return (False,) + elif operation == "a BEGINSWITH b": + return (a.startswith(b),) + elif operation == "a ENDSWITH b": + return (a.endswith(b),) + +# ---------------------------------------------------------------Flow----------------------------------------------------------------------# +try: + from comfy_execution.graph_utils import GraphBuilder, is_link +except: + GraphBuilder = None + +class whileLoopStart: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + inputs = { + "required": { + "condition": ("BOOLEAN", {"default": True}), + }, + "optional": { + }, + } + for i in range(MAX_FLOW_NUM): + inputs["optional"]["initial_value%d" % i] = ("*",) + return inputs + + RETURN_TYPES = ByPassTypeTuple(tuple(["FLOW_CONTROL"] + ["*"] * MAX_FLOW_NUM)) + RETURN_NAMES = ByPassTypeTuple(tuple(["flow"] + ["value%d" % i for i in range(MAX_FLOW_NUM)])) + FUNCTION = "while_loop_open" + + CATEGORY = "EasyUse/Logic/While Loop" + + def while_loop_open(self, condition, **kwargs): + values = [] + for i in range(MAX_FLOW_NUM): + values.append(kwargs.get("initial_value%d" % i, None)) + return tuple(["stub"] + values) + +class whileLoopEnd: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + inputs = { + "required": { + "flow": ("FLOW_CONTROL", {"rawLink": True}), + "condition": ("BOOLEAN", {"forceInput": True}), + }, + "optional": { + }, + "hidden": { + "dynprompt": "DYNPROMPT", + "unique_id": "UNIQUE_ID", + } + } + for i in range(MAX_FLOW_NUM): + inputs["optional"]["initial_value%d" % i] = (AlwaysEqualProxy('*'),) + return inputs + + RETURN_TYPES = ByPassTypeTuple(tuple([AlwaysEqualProxy('*')] * MAX_FLOW_NUM)) + RETURN_NAMES = ByPassTypeTuple(tuple(["value%d" % i for i in range(MAX_FLOW_NUM)])) + FUNCTION = "while_loop_close" + + CATEGORY = "EasyUse/Logic/While Loop" + + def explore_dependencies(self, node_id, dynprompt, upstream): + node_info = dynprompt.get_node(node_id) + if "inputs" not in node_info: + return + for k, v in node_info["inputs"].items(): + if is_link(v): + parent_id = v[0] + if parent_id not in upstream: + upstream[parent_id] = [] + self.explore_dependencies(parent_id, dynprompt, upstream) + upstream[parent_id].append(node_id) + + def collect_contained(self, node_id, upstream, contained): + if node_id not in upstream: + return + for child_id in upstream[node_id]: + if child_id not in contained: + contained[child_id] = True + self.collect_contained(child_id, upstream, contained) + + + def while_loop_close(self, flow, condition, dynprompt=None, unique_id=None, **kwargs): + if not condition: + # We're done with the loop + values = [] + for i in range(MAX_FLOW_NUM): + values.append(kwargs.get("initial_value%d" % i, None)) + return tuple(values) + + # We want to loop + this_node = dynprompt.get_node(unique_id) + upstream = {} + # Get the list of all nodes between the open and close nodes + self.explore_dependencies(unique_id, dynprompt, upstream) + + contained = {} + open_node = flow[0] + self.collect_contained(open_node, upstream, contained) + contained[unique_id] = True + contained[open_node] = True + + graph = GraphBuilder() + for node_id in contained: + original_node = dynprompt.get_node(node_id) + node = graph.node(original_node["class_type"], "Recurse" if node_id == unique_id else node_id) + node.set_override_display_id(node_id) + for node_id in contained: + original_node = dynprompt.get_node(node_id) + node = graph.lookup_node("Recurse" if node_id == unique_id else node_id) + for k, v in original_node["inputs"].items(): + if is_link(v) and v[0] in contained: + parent = graph.lookup_node(v[0]) + node.set_input(k, parent.out(v[1])) + else: + node.set_input(k, v) + + new_open = graph.lookup_node(open_node) + for i in range(MAX_FLOW_NUM): + key = "initial_value%d" % i + new_open.set_input(key, kwargs.get(key, None)) + my_clone = graph.lookup_node("Recurse") + result = map(lambda x: my_clone.out(x), range(MAX_FLOW_NUM)) + return { + "result": tuple(result), + "expand": graph.finalize(), + } + +class forLoopStart: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "total": ("INT", {"default": 1, "min": 0, "max": 100000, "step": 1}), + }, + "optional": { + "initial_value%d" % i: (AlwaysEqualProxy("*"),) for i in range(1, MAX_FLOW_NUM) + }, + "hidden": { + "initial_value0": (AlwaysEqualProxy("*"),), + "prompt": "PROMPT", + "unique_id": "UNIQUE_ID" + } + } + + RETURN_TYPES = ByPassTypeTuple(tuple(["FLOW_CONTROL", "INT"] + [AlwaysEqualProxy("*")] * (MAX_FLOW_NUM - 1))) + RETURN_NAMES = ByPassTypeTuple(tuple(["flow", "index"] + ["value%d" % i for i in range(1, MAX_FLOW_NUM)])) + FUNCTION = "for_loop_start" + + CATEGORY = "EasyUse/Logic/For Loop" + + def for_loop_start(self, total, prompt=None, unique_id=None, **kwargs): + graph = GraphBuilder() + i = 0 + if "initial_value0" in kwargs: + i = kwargs["initial_value0"] + initial_values = {("initial_value%d" % num): kwargs.get("initial_value%d" % num, None) for num in range(1, MAX_FLOW_NUM)} + while_open = graph.node("easy whileLoopStart", condition=total, initial_value0=i, **initial_values) + outputs = [kwargs.get("initial_value%d" % num, None) for num in range(1, MAX_FLOW_NUM)] + return { + "result": tuple(["stub", i] + outputs), + "expand": graph.finalize(), + } + +class forLoopEnd: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "flow": ("FLOW_CONTROL", {"rawLink": True}), + }, + "optional": { + "initial_value%d" % i: (AlwaysEqualProxy("*"), {"rawLink": True}) for i in range(1, MAX_FLOW_NUM) + }, + "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO", "my_unique_id": "UNIQUE_ID"}, + } + + RETURN_TYPES = ByPassTypeTuple(tuple([AlwaysEqualProxy("*")] * (MAX_FLOW_NUM - 1))) + RETURN_NAMES = ByPassTypeTuple(tuple(["value%d" % i for i in range(1, MAX_FLOW_NUM)])) + FUNCTION = "for_loop_end" + + CATEGORY = "EasyUse/Logic/For Loop" + + def for_loop_end(self, flow, prompt=None, extra_pnginfo=None, my_unique_id=None, **kwargs): + graph = GraphBuilder() + while_open = flow[0] + total = None + if extra_pnginfo: + node = next((x for x in extra_pnginfo['workflow']['nodes'] if x['id'] == int(while_open)), None) + total = node['widgets_values'][0] if "widgets_values" in node else None + if total is None: + raise Exception("Unable to get parameters for the start of the loop") + sub = graph.node("easy mathInt", operation="add", a=[while_open, 1], b=1) + cond = graph.node("easy compare", a=sub.out(0), b=total, comparison='a < b') + input_values = {("initial_value%d" % i): kwargs.get("initial_value%d" % i, None) for i in + range(1, MAX_FLOW_NUM)} + while_close = graph.node("easy whileLoopEnd", + flow=flow, + condition=cond.out(0), + initial_value0=sub.out(0), + **input_values) + return { + "result": tuple([while_close.out(i) for i in range(1, MAX_FLOW_NUM)]), + "expand": graph.finalize(), + } COMPARE_FUNCTIONS = { "a == b": lambda a, b: a == b, @@ -317,46 +774,70 @@ def switch(self, input, text1=None, text2=None,): class Compare: @classmethod def INPUT_TYPES(s): - s.compare_functions = list(COMPARE_FUNCTIONS.keys()) + compare_functions = list(COMPARE_FUNCTIONS.keys()) return { "required": { "a": (AlwaysEqualProxy("*"), {"default": 0}), "b": (AlwaysEqualProxy("*"), {"default": 0}), - "comparison": (s.compare_functions, {"default": "a == b"}), + "comparison": (compare_functions, {"default": "a == b"}), }, } RETURN_TYPES = ("BOOLEAN",) RETURN_NAMES = ("boolean",) FUNCTION = "compare" - CATEGORY = "EasyUse/Logic/Math" + CATEGORY = "EasyUse/Logic" def compare(self, a, b, comparison): return (COMPARE_FUNCTIONS[comparison](a, b),) # 判断 -class If: +class IfElse: @classmethod def INPUT_TYPES(s): return { "required": { - "any": (AlwaysEqualProxy("*"),), - "if": (AlwaysEqualProxy("*"),), - "else": (AlwaysEqualProxy("*"),), + "boolean": ("BOOLEAN",), + "on_true": (AlwaysEqualProxy("*"), lazy_options), + "on_false": (AlwaysEqualProxy("*"), lazy_options), }, } RETURN_TYPES = (AlwaysEqualProxy("*"),) - RETURN_NAMES = ("?",) + RETURN_NAMES = ("*",) FUNCTION = "execute" - CATEGORY = "EasyUse/Logic/Math" + CATEGORY = "EasyUse/Logic" - def execute(self, *args, **kwargs): - return (kwargs['if'] if kwargs['any'] else kwargs['else'],) + def check_lazy_status(self, boolean, on_true=None, on_false=None): + if boolean and on_true is None: + return ["on_true"] + if not boolean and on_false is None: + return ["on_false"] + def execute(self, *args, **kwargs): + return (kwargs['on_true'] if kwargs['boolean'] else kwargs['on_false'],) #是否为SDXL from comfy.sdxl_clip import SDXLClipModel, SDXLRefinerClipModel, SDXLClipG +class isNone: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "any": (AlwaysEqualProxy("*"),) + }, + "optional": { + } + } + + RETURN_TYPES = ("BOOLEAN",) + RETURN_NAMES = ("boolean",) + FUNCTION = "execute" + CATEGORY = "EasyUse/Logic" + + def execute(self, any): + return (True if any is None else False,) + class isSDXL: @classmethod def INPUT_TYPES(s): @@ -419,8 +900,52 @@ def to_xy(self, X, Y, direction): return (new_x, new_y) +class batchAnything: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "a": (AlwaysEqualProxy("*"),{}), + "b": (AlwaysEqualProxy("*"),{}) + } + } + + RETURN_TYPES = (AlwaysEqualProxy("*"),) + RETURN_NAMES = ("batch",) + + FUNCTION = "batch" + CATEGORY = "EasyUse/Logic" + + def batch(self, a, b): + if isinstance(a, torch.Tensor) or isinstance(b, torch.Tensor): + if a is None: + return (b,) + elif b is None: + return (a,) + if a.shape[1:] != b.shape[1:]: + b = comfy.utils.common_upscale(b.movedim(-1, 1), a.shape[2], a.shape[1], "bilinear", "center").movedim(1, -1) + return (torch.cat((a, b), 0),) + elif isinstance(a, (str, float, int)): + if b is None: + return (a,) + elif isinstance(b, tuple): + return (b + (a,),) + return ((a, b),) + elif isinstance(b, (str, float, int)): + if a is None: + return (b,) + elif isinstance(a, tuple): + return (a + (b,),) + return ((b, a),) + else: + if a is None: + return (b,) + elif b is None: + return (a,) + return (a + b,) + # 转换所有类型 -class ConvertAnything: +class convertAnything: @classmethod def INPUT_TYPES(s): return {"required": { @@ -434,7 +959,6 @@ def INPUT_TYPES(s): CATEGORY = "EasyUse/Logic" def convert(self, *args, **kwargs): - print(kwargs) anything = kwargs['*'] output_type = kwargs['output_type'] params = None @@ -577,8 +1101,39 @@ def empty_cache(self, anything, unique_id=None, extra_pnginfo=None): remove_cache('*') return () +# Deprecated +class If: + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "any": (AlwaysEqualProxy("*"),), + "if": (AlwaysEqualProxy("*"),), + "else": (AlwaysEqualProxy("*"),), + }, + } + + RETURN_TYPES = (AlwaysEqualProxy("*"),) + RETURN_NAMES = ("?",) + FUNCTION = "execute" + CATEGORY = "EasyUse/🚫 Deprecated" + + def execute(self, *args, **kwargs): + return (kwargs['if'] if kwargs['any'] else kwargs['else'],) +class poseEditor: + @classmethod + def INPUT_TYPES(s): + return {"required": { + "image": ("STRING", {"default":""}) + }} + FUNCTION = "output_pose" + CATEGORY = "EasyUse/🚫 Deprecated" + RETURN_TYPES = () + RETURN_NAMES = () + def output_pose(self, image): + return () NODE_CLASS_MAPPINGS = { "easy string": String, @@ -587,18 +1142,33 @@ def empty_cache(self, anything, unique_id=None, extra_pnginfo=None): "easy float": Float, "easy rangeFloat": RangeFloat, "easy boolean": Boolean, + "easy mathString": mathStringOperation, + "easy mathInt": mathIntOperation, + "easy mathFloat": mathFloatOperation, "easy compare": Compare, "easy imageSwitch": imageSwitch, "easy textSwitch": textSwitch, - "easy if": If, + "easy anythingIndexSwitch": anythingIndexSwitch, + "easy imageIndexSwitch": imageIndexSwitch, + "easy textIndexSwitch": textIndexSwitch, + "easy conditioningIndexSwitch": conditioningIndexSwitch, + "easy whileLoopStart": whileLoopStart, + "easy whileLoopEnd": whileLoopEnd, + "easy forLoopStart": forLoopStart, + "easy forLoopEnd": forLoopEnd, + "easy ifElse": IfElse, + "easy isNone": isNone, "easy isSDXL": isSDXL, "easy xyAny": xyAny, - "easy convertAnything": ConvertAnything, + "easy batchAnything": batchAnything, + "easy convertAnything": convertAnything, "easy showAnything": showAnything, "easy showTensorShape": showTensorShape, "easy clearCacheKey": clearCacheKey, "easy clearCacheAll": clearCacheAll, "easy cleanGpuUsed": cleanGPUUsed, + "easy if": If, + "easy poseEditor": poseEditor } NODE_DISPLAY_NAME_MAPPINGS = { "easy string": "String", @@ -608,15 +1178,30 @@ def empty_cache(self, anything, unique_id=None, extra_pnginfo=None): "easy rangeFloat": "Range(Float)", "easy boolean": "Boolean", "easy compare": "Compare", + "easy mathString": "Math String", + "easy mathInt": "Math Int", + "easy mathFloat": "Math Float", "easy imageSwitch": "Image Switch", "easy textSwitch": "Text Switch", - "easy if": "If", + "easy anythingIndexSwitch": "Any Index Switch", + "easy imageIndexSwitch": "Image Index Switch", + "easy textIndexSwitch": "Text Index Switch", + "easy conditioningIndexSwitch": "Conditioning Index Switch", + "easy whileLoopStart": "While Loop Start", + "easy whileLoopEnd": "While Loop End", + "easy forLoopStart": "For Loop Start", + "easy forLoopEnd": "For Loop End", + "easy ifElse": "If else", + "easy isNone": "Is None", "easy isSDXL": "Is SDXL", "easy xyAny": "XYAny", + "easy batchAnything": "Batch Any", "easy convertAnything": "Convert Any", "easy showAnything": "Show Any", "easy showTensorShape": "Show Tensor Shape", "easy clearCacheKey": "Clear Cache Key", "easy clearCacheAll": "Clear Cache All", - "easy cleanGpuUsed": "Clean GPU Used" + "easy cleanGpuUsed": "Clean GPU Used", + "easy if": "If (🚫Deprecated)", + "easy poseEditor": "PoseEditor (🚫Deprecated)" } \ No newline at end of file diff --git a/web_version/v2/assets/extensions-DjHfjjgA.js b/web_version/v2/assets/extensions-DjHfjjgA.js new file mode 100644 index 0000000..ac35b6c --- /dev/null +++ b/web_version/v2/assets/extensions-DjHfjjgA.js @@ -0,0 +1 @@ +var e,t,n,s,o,i,a,l,r,d,u,c,p,h,m,g=Object.defineProperty,f=(e,t,n)=>((e,t,n)=>t in e?g(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n)(e,"symbol"!=typeof t?t+"":t,n);import{d as y,h as _}from"./vendor-DT1J-jWa.js";import{c as v}from"./lodash-CZi7izHi.js";let w=(null==(t=null==(e=window.comfyAPI)?void 0:e.app)?void 0:t.app)||null,b=(null==(s=null==(n=window.comfyAPI)?void 0:n.api)?void 0:s.api)||null,L=(null==(i=null==(o=window.comfyAPI)?void 0:o.ui)?void 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created by":"工作流创建者","Watch more video content":"观看更多视频内容","Workflow Guide":"工作流指南","💎 View Checkpoint Info...":"💎 查看 Checkpoint 信息...","💎 View Lora Info...":"💎 查看 Lora 信息...","🔃 Reload Node":"🔃 刷新节点","Updated At:":"最近更新：","Created At:":"首次发布：","✏️ Edit":"✏️ 编辑","💾 Save":"💾 保存","No notes":"当前还没有备注内容","Saving Notes...":"正在保存备注...","Type your notes here":"在这里输入备注内容",ModelName:"模型名称","Models Required":"所需模型","Download Model":"下载模型","Source Url":"模型源地址",Notes:"备注",Type:"类型","Trained Words":"训练词",BaseModel:"基础算法",Details:"详情",Description:"描述",Download:"下载量",Source:"来源","Saving Preview...":"正在保存预览图...","Saving Succeed":"保存成功","Clean SuccessFully":"清理成功","Clean Failed":"清理失败","Saving Failed":"保存失败","No COMBO link":"沒有找到COMBO连接","Reboot ComfyUI":"重启ComfyUI","Are you sure you'd like to reboot the server?":"是否要重启ComfyUI？","Nodes Map":"管理节点组","Nodes map sorting mode":"管理节点组排序模式","No Nodes":"未找到节点","No nodes found in the map":"在工作流程中没有找到节点","Expand All":"展开所有组","Collapse 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p-component",{"p-filled":n.filled,"p-inputtext-sm":"small"===o.size,"p-inputtext-lg":"large"===o.size,"p-invalid":o.invalid,"p-variant-filled":o.variant?"filled"===o.variant:"filled"===n.$primevue.config.inputStyle||"filled"===n.$primevue.config.inputVariant,"p-inputtext-fluid":n.hasFluid}]}}}),gn={name:"InputText",extends:{name:"BaseInputText",extends:Y,props:{modelValue:null,size:{type:String,default:null},invalid:{type:Boolean,default:!1},variant:{type:String,default:null},fluid:{type:Boolean,default:null}},style:fn,provide:function(){return{$pcInputText:this,$parentInstance:this}}},inheritAttrs:!1,emits:["update:modelValue"],inject:{$pcFluid:{default:null}},methods:{getPTOptions:function(t){return("root"===t?this.ptmi:this.ptm)(t,{context:{filled:this.filled,disabled:this.$attrs.disabled||""===this.$attrs.disabled}})},onInput:function(t){this.$emit("update:modelValue",t.target.value)}},computed:{filled:function(){return null!=this.modelValue&&this.modelValue.toString().length>0},hasFluid:function(){return B(this.fluid)?!!this.$pcFluid:this.fluid}}},hn=["value","aria-invalid"];gn.render=function(t,n,o,e,r,c){return h(),v("input",k({type:"text",class:t.cx("root"),value:t.modelValue,"aria-invalid":t.invalid||void 0,onInput:n[0]||(n[0]=function(){return c.onInput&&c.onInput.apply(c,arguments)})},c.getPTOptions("root")),null,16,hn)};export{pn as T,cn as a,bn as b,gn as c,xt as d,ut as e,Vt as h,kt as s}; diff --git a/web_version/v2/easyuse.js b/web_version/v2/easyuse.js index ced0743..eafd914 100644 --- a/web_version/v2/easyuse.js +++ b/web_version/v2/easyuse.js @@ -1,2 +1,2 @@ !function(){"use strict";try{if("undefined"!=typeof document){var e=document.createElement("style");e.appendChild(document.createTextNode('@charset "UTF-8";.easyuse-model-info{color:#fff;max-width:90vw;font-family:var(--font-family)}.easyuse-model-content{display:flex;flex-direction:column;overflow:hidden}.easyuse-model-header{margin:0 0 15px}.easyuse-model-header-remark{display:flex;align-items:center;margin-top:5px}.easyuse-model-info h2{text-align:left;margin:0}.easyuse-model-info h5{text-align:left;margin:0 15px 0 0;font-weight:400;color:var(--descrip-text)}.easyuse-model-info p{margin:5px 0}.easyuse-model-info a{color:var(--theme-color-light)}.easyuse-model-info a:hover{text-decoration:underline}.easyuse-model-tags-list{display:flex;flex-wrap:wrap;list-style:none;gap:10px;max-height:200px;overflow:auto;margin:10px 0;padding:0}.easyuse-model-tag{background-color:var(--comfy-input-bg);border:2px solid var(--border-color);color:var(--input-text);display:flex;align-items:center;gap:5px;border-radius:5px;padding:2px 5px;cursor:pointer}.easyuse-model-tag--selected 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5px);flex-grow:0;flex-shrink:0;position:relative;justify-content:center;align-items:center;padding-right:5px;padding-left:0}.easyuse-preview-slide:nth-child(2n){padding-left:5px;padding-right:0}.easyuse-preview-slide-content{position:relative;min-height:150px;width:100%}.easyuse-preview-slide-content .save{position:absolute;right:6px;z-index:12;bottom:6px;display:flex;align-items:center;height:26px;padding:0 9px;color:var(--input-text);font-size:12px;line-height:26px;background:#00000080;border-radius:13px;cursor:pointer;min-width:80px;text-align:center}.easyuse-preview-slide-content .save:hover{filter:brightness(120%);will-change:auto}.easyuse-preview-slide-content img{border-radius:14px;object-position:center center;max-width:100%;max-height:700px;border-style:none;vertical-align:middle}.easyuse-preview button{position:absolute;z-index:10;top:50%;display:flex;align-items:center;justify-content:center;width:30px;height:30px;border-radius:15px;border:1px solid rgba(66,63,78,.15);background-color:#423f4e80;color:#fffc;transition-property:color,background-color,border-color,text-decoration-color,fill,stroke;transition-timing-function:cubic-bezier(.4,0,.2,1);transition-duration:.15s;transform:translateY(-50%)}.easyuse-preview button.left{left:10px}.easyuse-preview button.right{right:10px}.easyuse-model-detail{margin-top:16px;overflow:hidden;border:1px solid var(--border-color);border-radius:8px;width:300px}.easyuse-model-detail-head{height:40px;padding:0 10px;font-weight:500;font-size:14px;font-style:normal;line-height:40px}.easyuse-model-detail-body{box-sizing:border-box;font-size:12px}.easyuse-model-detail-item{display:flex;justify-content:flex-start;border-top:1px solid var(--border-color)}.easyuse-model-detail-item-label{flex-shrink:0;width:88px;padding-top:5px;padding-bottom:5px;padding-left:10px;border-right:1px solid var(--border-color);color:var(--input-text);font-weight:400}.easyuse-model-detail-item-value{display:flex;flex-wrap:wrap;padding:5px 10px;color:var(--input-text)}.easyuse-model-detail-textarea{border-top:1px solid var(--border-color);padding:10px;height:100px;overflow-y:auto;font-size:12px}.easyuse-model-detail-textarea textarea{width:100%;height:100%;border:0;background-color:transparent;color:var(--input-text)}.easyuse-model-detail-textarea textarea::placeholder{color:var(--descrip-text)}.easyuse-model-detail-textarea.empty{display:flex;justify-content:center;align-items:center;color:var(--descrip-text)}.easyuse-model-notes{background-color:#00000040;padding:5px;margin-top:5px}.easyuse-model-notes:empty{display:none}.easyuse-account-user{font-size:10px;color:var(--descrip-text);text-align:center}.easyuse-account-user-info{display:flex;justify-content:space-between;align-items:center;padding-bottom:10px;cursor:pointer}.easyuse-account-user-info .user{display:flex;align-items:center}.easyuse-account-user-info .edit{padding:5px 10px;background:var(--comfy-menu-bg);border-radius:4px}.easyuse-account-user-info:hover{filter:brightness(110%)}.easyuse-account-user-info h5{margin:0;font-size:10px;text-align:left}.easyuse-account-user-info h6{margin:0;font-size:8px;text-align:left;font-weight:300}.easyuse-account-user-info .remark{margin-top:4px}.easyuse-account-user-info .avatar{width:36px;height:36px;background:var(--comfy-input-bg);border-radius:50%;margin-right:5px;display:flex;justify-content:center;align-items:center;font-size:16px;overflow:hidden}.easyuse-account-user-info .avatar img{width:100%;height:100%}.easyuse-account-dialog{width:600px}.easyuse-account-dialog-main a,.easyuse-account-dialog-main a:visited{font-weight:400;color:var(--theme-color-light)}.easyuse-account-dialog-item{display:flex;justify-content:flex-start;align-items:center;padding:10px 0;border-bottom:1px solid var(--border-color)}.easyuse-account-dialog-item input{padding:5px;margin-right:5px}.easyuse-account-dialog-item input.key{flex:1}.easyuse-account-dialog-item button{cursor:pointer;margin-left:5px!important;padding:5px!important;font-size:16px!important}.easyuse-account-dialog-item button:hover{filter:brightness(120%)}.easyuse-account-dialog-item button.choose{background:var(--theme-color)}.easyuse-account-dialog-item button.delete{background:var(--error-color)}.easy-dropdown,.easy-nested-dropdown{position:relative;box-sizing:border-box;background-color:#171717;box-shadow:0 4px 4px #ffffff40;padding:0;margin:0;list-style:none;z-index:1000;overflow:visible;max-height:fit-content;max-width:fit-content}.easy-dropdown{position:absolute;border-radius:0}.easy-dropdown li.item,.easy-nested-dropdown li.item{font-weight:400;min-width:max-content}.easy-dropdown li.folder,.easy-nested-dropdown li.folder{cursor:default;position:relative;border-right:3px solid cyan}.easy-dropdown li.folder:after,.easy-nested-dropdown li.folder:after{content:">";position:absolute;right:2px;font-weight:400}.easy-dropdown li,.easy-nested-dropdown li{padding:4px 10px;cursor:pointer;font-family:system-ui;font-size:.7rem;position:relative}.easy-nested-dropdown{position:absolute;top:0;left:100%;margin:0;border:none;display:none}.easy-dropdown li.selected>.easy-nested-dropdown,.easy-nested-dropdown li.selected>.easy-nested-dropdown{display:block;border:none}.easy-dropdown li.selected,.easy-nested-dropdown li.selected{background-color:#e5e5e5;border:none}:root{--theme-color:var(--primary-bg);--theme-color-light: var(--primary-hover-bg);--success-color: #52c41a;--error-color: #ff4d4f;--warning-color: #faad14;--font-family: Inter, -apple-system, BlinkMacSystemFont, Helvetica Neue, sans-serif;--p-inputtext-background: var(--p-form-field-background);--p-inputtext-disabled-background: var(--p-form-field-disabled-background);--p-inputtext-filled-background: var(--p-form-field-filled-background);--p-inputtext-filled-focus-background: var(--p-form-field-filled-focus-background);--p-inputtext-border-color: var(--p-form-field-border-color);--p-inputtext-hover-border-color: var(--p-form-field-hover-border-color);--p-inputtext-focus-border-color: var(--p-form-field-focus-border-color);--p-inputtext-invalid-border-color: var(--p-form-field-invalid-border-color);--p-inputtext-color: var(--p-form-field-color);--p-inputtext-disabled-color: var(--p-form-field-disabled-color);--p-inputtext-placeholder-color: var(--p-form-field-placeholder-color);--p-inputtext-shadow: var(--p-form-field-shadow);--p-inputtext-padding-x: var(--p-form-field-padding-x);--p-inputtext-padding-y: var(--p-form-field-padding-y);--p-inputtext-border-radius: var(--p-form-field-border-radius);--p-inputtext-focus-ring-width: var(--p-form-field-focus-ring-width);--p-inputtext-focus-ring-style: var(--p-form-field-focus-ring-style);--p-inputtext-focus-ring-color: var(--p-form-field-focus-ring-color);--p-inputtext-focus-ring-offset: var(--p-form-field-focus-ring-offset);--p-inputtext-focus-ring-shadow: var(--p-form-field-focus-ring-shadow);--p-inputtext-transition-duration: var(--p-form-field-transition-duration);--p-inputtext-sm-font-size: .875rem;--p-inputtext-sm-padding-x: .625rem;--p-inputtext-sm-padding-y: .375rem;--p-inputtext-lg-font-size: 1.125rem;--p-inputtext-lg-padding-x: .875rem;--p-inputtext-lg-padding-y: .625rem;--p-tooltip-max-width: 12.5rem;--p-tooltip-gutter: .25rem;--p-tooltip-shadow: var(--p-overlay-popover-shadow);--p-tooltip-padding: .5rem .75rem;--p-tooltip-border-radius: var(--p-overlay-popover-border-radius);--p-tooltip-background: var(--p-surface-700);--p-tooltip-color: var(--p-surface-0)}.comfyui-easyuse-theme,.comfyui-easyuse-primary{color:var(--theme-color-light)}.comfyui-easyuse-theme.point:hover,.comfyui-easyuse-primary.point:hover{opacity:.8}.comfyui-easyuse-success{color:var(--success-color)}.comfyui-easyuse-success.point:hover{opacity:.8}.comfyui-easyuse-error{color:var(--error-color)}.comfyui-easyuse-error.point:hover{opacity:.8}.comfyui-easyuse-warning,.comfyui-easyuse--warn{color:var(--warning-color)}.comfyui-easyuse-warning.point:hover,.comfyui-easyuse--warn.point:hover{opacity:.8}.grid-cols-1{grid-template-columns:repeat(1,minmax(0,1fr))}.grid-cols-12{grid-template-columns:repeat(12,minmax(0,1fr))}.grid-cols-2{grid-template-columns:repeat(2,minmax(0,1fr))}.grid-cols-3{grid-template-columns:repeat(3,minmax(0,1fr))}.flex-row{flex-direction:row}.flex-row-reverse{flex-direction:row-reverse}.flex-col{flex-direction:column}.flex-col-reverse{flex-direction:column-reverse}.flex-wrap{flex-wrap:wrap}.flex-nowrap{flex-wrap:nowrap}.items-start{align-items:flex-start}.items-end{align-items:flex-end}.items-center{align-items:center}.items-stretch{align-items:stretch}.justify-start{justify-content:flex-start}.justify-end{justify-content:flex-end}.justify-center{justify-content:center}.justify-between{justify-content:space-between}.grid{display:grid}.gap-0\\.5{gap:.125rem}.gap-1{gap:.25rem}.gap-10{gap:2.5rem}.gap-12{gap:3rem}.gap-2{gap:.5rem}.gap-2\\.5{gap:.625rem}.gap-20{gap:5rem}.gap-3{gap:.75rem}.gap-3\\.5{gap:.875rem}.gap-4{gap:1rem}.gap-5{gap:1.25rem}.gap-6{gap:1.5rem}.gap-7{gap:1.75rem}.gap-8{gap:2rem}.gap-\\[0\\.28rem\\]{gap:.28rem}.gap-x-2{-moz-column-gap:.5rem;column-gap:.5rem}.gap-x-4{-moz-column-gap:1rem;column-gap:1rem}.gap-y-1{row-gap:.25rem}.gap-y-6{row-gap:1.5rem}@media (min-width: 576px){.sm\\:col-span-4{grid-column:span 4/span 4}.sm\\:col-span-6{grid-column:span 6/span 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(min-width: 768px){.md\\:-bottom-12{bottom:-3rem}.md\\:-bottom-28{bottom:-7rem}.md\\:-bottom-8{bottom:-2rem}.md\\:-bottom-\\[26rem\\]{bottom:-26rem}.md\\:-left-12{left:-3rem}.md\\:-left-28{left:-7rem}.md\\:-left-32{left:-8rem}.md\\:-left-4{left:-1rem}.md\\:-left-48{left:-12rem}.md\\:-left-\\[22rem\\]{left:-22rem}.md\\:bottom-0{bottom:0}.md\\:left-10{left:2.5rem}.md\\:left-\\[32rem\\]{left:32rem}.md\\:left-\\[42rem\\]{left:42rem}.md\\:top-1\\/2{top:50%}.md\\:top-32{top:8rem}.md\\:top-8{top:2rem}.md\\:col-span-2{grid-column:span 2/span 2}.md\\:col-span-4{grid-column:span 4/span 4}.md\\:col-span-6{grid-column:span 6/span 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scaleY(var(--tw-scale-y))}.md\\:translate-x-0{--tw-translate-x: 0px }.md\\:grid-cols-2{grid-template-columns:repeat(2,minmax(0,1fr))}.md\\:flex-row{flex-direction:row}.md\\:flex-col{flex-direction:column}.md\\:items-end{align-items:flex-end}.md\\:items-center{align-items:center}.md\\:justify-start{justify-content:flex-start}.md\\:justify-center{justify-content:center}.md\\:gap-20{gap:5rem}.md\\:gap-4{gap:1rem}.md\\:p-5{padding:1.25rem}.md\\:p-8{padding:2rem}}@media (min-width: 992px){.lg\\:left-20{left:5rem}.lg\\:left-\\[36rem\\]{left:36rem}.lg\\:left-\\[50rem\\]{left:50rem}.lg\\:col-span-1{grid-column:span 1/span 1}.lg\\:col-span-2{grid-column:span 2/span 2}.lg\\:col-span-4{grid-column:span 4/span 4}.lg\\:col-span-6{grid-column:span 6/span 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(min-width: 1200px){.xl\\:-left-12{left:-3rem}.xl\\:-left-28{left:-7rem}.xl\\:bottom-0{bottom:0}.xl\\:left-36{left:9rem}.xl\\:left-\\[42rem\\]{left:42rem}.xl\\:left-\\[60rem\\]{left:60rem}.xl\\:col-span-3{grid-column:span 3/span 3}.xl\\:col-span-4{grid-column:span 4/span 4}.xl\\:col-span-6{grid-column:span 6/span 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FormData;o.append("image",new File([t],s)),o.append("overwrite","true"),o.append("type","temp");if(200!==(await ee.fetchApi("/upload/image",{method:"POST",body:o})).status)return this.isSaving=!1,toast.error(Ce("Saving Failed")),toast.hideLoading(),void alert(`Error saving preview (${req.status}) ${req.statusText}`);await ee.fetchApi("/easyuse/save/"+encodeURIComponent(`${this.type}/${this.name}`),{method:"POST",body:JSON.stringify({filename:s,type:"temp"}),headers:{"content-type":"application/json"}}).then((e=>{toast.success(Ce("Saving Succeed")),toast.hideLoading()})),this.isSaving=!1,app.refreshComboInNodes()}})])]))));let t=this;this.imgDistance=(-660*this.imgCurrent).toString(),this.imgList.style.display="",this.imgList.style.transform="translate3d("+this.imgDistance+"px, 0px, 0px)",this.slides=this.imgList.querySelectorAll(".easyuse-preview-slide"),this.slideLeftButton=te("button.left",{parent:this.imgWrapper,style:{display:e.images.length<=2?"none":"block"},innerHTML:'',onclick:()=>{e.images.length<=2||(t.imgList.classList.remove("no-transition"),0==t.imgCurrent?(t.imgCurrent=e.images.length/2-1,this.slides[this.slides.length-1].style.transform="translate3d("+(-660*(this.imgCurrent+1)).toString()+"px, 0px, 0px)",this.slides[this.slides.length-2].style.transform="translate3d("+(-660*(this.imgCurrent+1)).toString()+"px, 0px, 0px)",t.imgList.style.transform="translate3d(660px, 0px, 0px)",setTimeout((e=>{this.slides[this.slides.length-1].style.transform="translate3d(0px, 0px, 0px)",this.slides[this.slides.length-2].style.transform="translate3d(0px, 0px, 0px)",t.imgDistance=(-660*this.imgCurrent).toString(),t.imgList.style.transform="translate3d("+t.imgDistance+"px, 0px, 0px)",t.imgList.classList.add("no-transition")}),500)):(t.imgCurrent=t.imgCurrent-1,t.imgDistance=(-660*this.imgCurrent).toString(),t.imgList.style.transform="translate3d("+t.imgDistance+"px, 0px, 0px)"))}}),this.slideRightButton=te("button.right",{parent:this.imgWrapper,style:{display:e.images.length<=2?"none":"block"},innerHTML:'',onclick:()=>{if(!(e.images.length<=2))if(t.imgList.classList.remove("no-transition"),t.imgCurrent>=e.images.length/2-1){t.imgCurrent=0;const s=e.images.length/2;this.slides[0].style.transform="translate3d("+(660*s).toString()+"px, 0px, 0px)",this.slides[1].style.transform="translate3d("+(660*s).toString()+"px, 0px, 0px)",t.imgList.style.transform="translate3d("+(-660*s).toString()+"px, 0px, 0px)",setTimeout((e=>{this.slides[0].style.transform="translate3d(0px, 0px, 0px)",this.slides[1].style.transform="translate3d(0px, 0px, 0px)",t.imgDistance=(-660*this.imgCurrent).toString(),t.imgList.style.transform="translate3d("+t.imgDistance+"px, 0px, 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