diff --git a/README.MD b/README.MD
index 9ecd96d..bd2d4c2 100644
--- a/README.MD
+++ b/README.MD
@@ -104,6 +104,7 @@ When this error has occurred, please check the network environment.
## Update
**If the dependency package error after updating, please double clicking ```repair_dependency.bat``` (for Official ComfyUI Protable) or ```repair_dependency_aki.bat``` (for ComfyUI-aki-v1.x) in the plugin folder to reinstall the dependency packages.
+* Commit [RandomGenerator](#RandomGenerator) node, Used to generate random numbers within a specified range, with outputs of int, float, and boolean, supporting batch generation of different random numbers by image batch.
* Commit [EVF-SAMUltra](#EVFSAMUltra) node, it is implementation of [EVF-SAM](https://github.com/hustvl/EVF-SAM) in ComfyUI. Please download model files from [BaiduNetdisk](https://pan.baidu.com/s/1EvaxgKcCxUpMbYKzLnEx9w?pwd=69bn) or [huggingface/EVF-SAM2](https://huggingface.co/YxZhang/evf-sam2/tree/main), [huggingface/EVF-SAM](https://huggingface.co/YxZhang/evf-sam/tree/main) to ```ComfyUI/models/EVF-SAM``` folder(save the models in their respective subdirectories).
Due to the introduction of new dependencies package, after the plugin upgrade, please reinstall the dependency packages.
* Commit [ImageTaggerSave](#ImageTaggerSave) and [ImageAutoCropV3](#ImageAutoCropV3) nodes. Used to implement the automatic trimming and marking workflow for the training set (the workflow ```image_tagger_save.json``` is located in the workflow directory).
@@ -1278,6 +1279,23 @@ Output a floating-point value with a precision of 5 decimal places.
Output a boolean value.
+### RandomGenerator
+Used to generate random value within a specified range, with outputs of int, float, and boolean. Supports batch and list generation, and supports batch generation of a set of different random number lists based on image batch.
+
+
+Node Options:
+
+* image: Optional input, generate a list of random numbers that match the quantity in batches according to the image.
+* min_value: Minimum value. Random numbers will randomly take values from the minimum to the maximum.
+* max_value: Maximum value. Random numbers will randomly take values from the minimum to the maximum.
+* float_decimal_places: Precision of float value.
+* fix_seed:Is the random number seed fixed. If this option is fixed, the generated random number will always be the same.
+
+Outputs:
+int: Integer random number.
+float: Float random number.
+bool: Boolean random number.
+
### NumberCalculator
Performs mathematical operations on two numeric values and outputs integer and floating point results*. Supported operations include```+```, ```-```, ```*```, ```/```, ```**```, ```//```, ```%```.
diff --git a/README_CN.MD b/README_CN.MD
index 225c757..2225300 100644
--- a/README_CN.MD
+++ b/README_CN.MD
@@ -105,6 +105,7 @@ git clone https://github.com/chflame163/ComfyUI_LayerStyle.git
## 更新说明
**如果本插件更新后出现依赖包错误，请双击运行插件目录下的```install_requirements.bat```(官方便携包)，或 ```install_requirements_aki.bat```(秋叶整合包) 重新安装依赖包。
+* 添加 [RandomGenerator](#RandomGenerator) 节点，用于生成指定范围内的随机数，有int，float，bool输出，支持按图片批量生成不同的随机数。
* 添加 [EVF-SAMUltra](#EVFSAMUltra) 节点，是[EVF-SAM](https://github.com/hustvl/EVF-SAM)在ComfyUI中的实现。请从[百度网盘](https://pan.baidu.com/s/1EvaxgKcCxUpMbYKzLnEx9w?pwd=69bn) 或者 [huggingface/EVF-SAM2](https://huggingface.co/YxZhang/evf-sam2/tree/main), [huggingface/EVF-SAM](https://huggingface.co/YxZhang/evf-sam/tree/main) 下载全部模型文件并复制到```ComfyUI/models/EVF-SAM```文件夹(请将模型保存在各自子目录中)。
由于引入了新的依赖，插件升级后请重新安装依赖包。
* 添加 [ImageTaggerSave](#ImageTaggerSave) 和 [ImageAutoCropV3](#ImageAutoCropV3) 节点，用于实现训练集自动裁切打标工作流(工作流```image_tagger_save_example.json```在workflow目录中)。
@@ -1259,6 +1260,23 @@ box_preview: 裁切位置预览。
输出一个布尔值。
+### RandomGenerator
+用于生成指定范围内的随机数，有int，float，bool输出，支持批量和列表，支持按图片批量生成一组不同的随机数列表。
+
+
+节点选项说明:
+
+* image: 可选输入，按照图片批量生成数量相符的随机数列表。
+* min_value：最小值。随机数将从最小值到最大值之间随机取值。
+* max_value：最大值。随机数将从最小值到最大值之间随机取值。
+* float_decimal_places：浮点数精度。
+* fix_seed:是否固定随机数种子。如果此选项固定，生成的随机数将始终相同。
+
+输出:
+int: 整数随机数。
+float: 浮点数随机数。
+bool: 布尔随机数。
+
### NumberCalculator
对两个数值进行数学运算并输出整数和浮点数结果*。支持的运算包括```+```、```-```、```*```、```/```、```**```、```//```、```%```。
diff --git a/py/random_generator.py b/py/random_generator.py
new file mode 100644
index 0000000..f72be66
--- /dev/null
+++ b/py/random_generator.py
@@ -0,0 +1,77 @@
+from .imagefunc import AnyType
+import random
+
+NODE_NAME = 'RandomGenerator'
+
+
+class LSRandomGenerator:
+
+ def __init__(self):
+ self.previous_seeds= set({})
+ self.fixed_seed = 0
+ pass
+
+ @classmethod
+ def INPUT_TYPES(self):
+
+ return {
+ "required": {
+ "min_value": ("FLOAT", {"default": 0, "min": -1.0e14, "max": 1.0e14, "step": 0.01}),
+ "max_value": ("FLOAT", {"default": 10, "min": -1.0e14, "max": 1.0e14, "step": 0.01}),
+ "float_decimal_places": ("INT", {"default": 1, "min": 1, "max": 14, "step": 1}),
+ "fix_seed": ("BOOLEAN", {"default": False}),
+ },
+ "optional": {
+ "image": ("IMAGE", ),
+ }
+ }
+
+ RETURN_TYPES = ("INT", "FLOAT", "BOOLEAN",)
+ RETURN_NAMES = ("int", "float", "bool",)
+ FUNCTION = 'random_generator'
+ CATEGORY = '😺dzNodes/LayerUtility/Data'
+
+ def random_generator(self, min_value, max_value, float_decimal_places, fix_seed, image=None):
+ batch_size = 1
+ if image is not None:
+ batch_size = image.shape[0]
+ ret_nunbers = []
+ for i in range(batch_size):
+ new_seed = self.generate_unique_seed()
+ if fix_seed:
+ if self.fixed_seed == 0:
+ self.fixed_seed = new_seed
+ seed = self.fixed_seed
+ else:
+ seed = new_seed
+ random.seed(seed)
+ factor = random.uniform(3, 9)
+ random_float = random.uniform(min_value, max_value) / factor
+ random_float = round(random_float * factor, float_decimal_places)
+ random_int = int(random_float)
+ random_bool = random_int %2 == 0
+ ret_nunbers.append((random_int, random_float, random_bool))
+
+ if len(ret_nunbers) > 1:
+ ret_ints = [item[0] for item in ret_nunbers]
+ ret_floats = [item[1] for item in ret_nunbers]
+ ret_bools = [item[2] for item in ret_nunbers]
+ return (ret_ints, ret_floats, ret_bools)
+ else:
+ return (ret_nunbers[0][0], ret_nunbers[0][1], ret_nunbers[0][2])
+
+ def generate_unique_seed(self) -> int:
+ while True:
+ new_number = random.randint(0, 1e14)
+ if new_number not in self.previous_seeds:
+ self.previous_seeds.add(new_number)
+ return new_number
+
+
+NODE_CLASS_MAPPINGS = {
+ "LayerUtility: RandomGenerator": LSRandomGenerator
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+ "LayerUtility: RandomGenerator": "LayerUtility: Random Generator"
+}
\ No newline at end of file
diff --git a/py/text_join.py b/py/text_join.py
index c25219d..0643d57 100644
--- a/py/text_join.py
+++ b/py/text_join.py
@@ -11,13 +11,13 @@ class TextJoin:
def INPUT_TYPES(cls):
return {
"required": {
- "text_1": ("STRING", {"multiline": False}),
+ "text_1": ("STRING", {"multiline": False,"forceInput":True}),
},
"optional": {
- "text_2": ("STRING", {"multiline": False}),
- "text_3": ("STRING", {"multiline": False}),
- "text_4": ("STRING", {"multiline": False}),
+ "text_2": ("STRING", {"multiline": False,"forceInput":True}),
+ "text_3": ("STRING", {"multiline": False,"forceInput":True}),
+ "text_4": ("STRING", {"multiline": False,"forceInput":True}),
}
}
diff --git a/pyproject.toml b/pyproject.toml
index 7bf0c9a..5c68c2a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
[project]
name = "comfyui_layerstyle"
description = "A set of nodes for ComfyUI it generate image like Adobe Photoshop's Layer Style. the Drop Shadow is first completed node, and follow-up work is in progress."
-version = "1.0.37"
+version = "1.0.38"
license = "MIT"
dependencies = ["numpy", "pillow", "torch", "matplotlib", "Scipy", "scikit_image", "opencv-contrib-python", "pymatting", "segment_anything", "timm", "addict", "yapf", "colour-science", "wget", "mediapipe", "loguru", "typer_config", "fastapi", "rich", "google-generativeai", "diffusers", "omegaconf", "tqdm", "transformers", "kornia", "image-reward", "ultralytics", "blend_modes", "blind-watermark", "qrcode", "pyzbar", "transparent-background", "huggingface_hub", "accelerate", "bitsandbytes", "torchscale", "wandb", "hydra-core", "psd-tools"]