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b/Examples/NodeResizeImage_16ceil.png differ diff --git a/NodeSimpleExecutor.py b/NodeSimpleExecutor.py new file mode 100644 index 0000000..0136851 --- /dev/null +++ b/NodeSimpleExecutor.py @@ -0,0 +1,119 @@ +""" +Author: "KERRY-YUAN", +Title: "NodeSimpleExecutor", +Git-clone: "https://github.com/KERRY-YUAN/ComfyUI_Simple_Executor", +This node package contains automatic sampler setting according to model name in ComfyUI, adjusting image size according to specific constraints and some other nodes. +本节点包包含在 ComfyUI 中根据模型名称自动处理采样器设置、按特定约束调整图像大小和一些其他节点。。 +""" + +import torch +import math +import numpy as np +from PIL import Image +from comfy.samplers import KSampler + +#--------------------------------------------------------------------------------------------------------------# +#Based on the input model name, automatically match the configuration parameters of step count, CFG value, and sampler name through "Auto, Light, Normal, User". +#根据输入的模型名称，通过“Auto、If_include、Else、User”自动化匹配步数、CFG值和采样器名称的配置参数。 + +class NodeAutoSampler: + @classmethod + def INPUT_TYPES(s): + # 获取 ComfyUI 中的采样器名称列表 + sampler_names = KSampler.SAMPLERS + return { + "required": { + "ckpt_name": ("STRING", {"default": ""}), + "mode": (["Auto", "If_include", "Else", "User"], {"default": "Auto"}) + }, + "optional": { + "if_include": ("STRING", {"default": "light,turbo"}), + "if_steps": ("INT", {"default": 5, "min": 1, "max": 1000}), + "if_cfg": ("FLOAT", {"default": 2.0, "min": 0.1, "max": 100.0}), + "if_sampler": (sampler_names, {"default": "dpmpp_sde"}), + "else_steps": ("INT", {"default": 30, "min": 1, "max": 1000}), + "else_cfg": ("FLOAT", {"default": 5.0, "min": 0.1, "max": 100.0}), + "else_sampler": (sampler_names, {"default": "dpmpp_2m_sde"}), + "user_steps": ("INT", {"default": 20, "min": 1, "max": 1000}), + "user_cfg": ("FLOAT", {"default": 3.5, "min": 0.1, "max": 100.0}), + "user_sampler": (sampler_names, {"default": "dpmpp_2m_sde"}) + } + } + + RETURN_TYPES = ("INT", "FLOAT", "STRING", "STRING") + RETURN_NAMES = ("steps", "cfg", "sampler", "text") + FUNCTION = "generate_dynamic_settings" + CATEGORY = "custom" + + def generate_dynamic_settings(self, ckpt_name, mode, **kwargs): + mode_priority = { + "If_include": "1", "Else": "2", "User": "3", "Auto": "0" + } + selected_mode = mode_priority[mode] + + if selected_mode == "0": + input_str = str(ckpt_name).lower() + keywords = [k.strip().lower() for k in kwargs.get("if_include", "").split(',')] + selected_mode = "1" if any(k in input_str for k in keywords) else \ + "3" if "userconfig" in input_str else "2" + + config_map = { + "1": (kwargs["if_steps"], kwargs["if_cfg"], kwargs["if_sampler"]), + "2": (kwargs["else_steps"], kwargs["else_cfg"], kwargs["else_sampler"]), + "3": (kwargs["user_steps"], kwargs["user_cfg"], kwargs["user_sampler"]) + } + steps, cfg, sampler = config_map.get(selected_mode, (30, 5.0, "dpmpp_2m_sde")) + + return (steps, cfg, sampler, f"{steps};{cfg};{sampler}") + +#---------------------------------------------------------------------------------------------------------------------------------------------------# +#Resizes the image based on the target short side (`num`), maintaining aspect ratio, with final width and height both rounded up (ceil) to the nearest multiple of 16. +#根据目标短边 (`num`) 调整图像大小，保持宽高比，最终宽高均向上取整为 16 的倍数。 + +class NodeResizeImage: + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "shortside": ("INT", {"default": 1024, "min": 560, "max": 9600, "step": 16}), + } + } + RETURN_TYPES = ("IMAGE", "INT", "INT") + RETURN_NAMES = ("image_resize", "width", "height") + FUNCTION = "resize_image" + CATEGORY = "Image/Transform" + + def _tensor_to_pil(self, img_tensor): + # Convert tensor to PIL Image / 将张量转换为 PIL 图像。 + img_np = img_tensor[0].cpu().numpy() * 255.0 + img_np = np.clip(img_np, 0, 255).astype(np.uint8)[:, :, :3] + return Image.fromarray(img_np, 'RGB') + + def _pil_to_tensor(self, img_pil): + # Convert PIL Image to tensor / 将 PIL 图像转换为张量。 + img_np = np.array(img_pil).astype(np.float32) / 255.0 + return torch.from_numpy(img_np).unsqueeze(0) + + def _calculate_dimensions(self, w, h, target): + target = ((min(max(target, 560), 9600) + 15) // 16) * 16 + scale = target / min(w, h) + new_w = round(w * scale) if w < h else ((round(w * scale) + 15) // 16) * 16 + new_h = ((round(h * scale) + 15) // 16) * 16 if w < h else target + return new_w, new_h + + def resize_image(self, image, shortside): + img_pil = self._tensor_to_pil(image) + original_w, original_h = img_pil.size + final_w, final_h = self._calculate_dimensions(original_w, original_h, shortside) + if (original_w, original_h) != (final_w, final_h): + img_pil = img_pil.resize((final_w, final_h), Image.Resampling.LANCZOS) + return (self._pil_to_tensor(img_pil), final_w, final_h) + +#---------------------------------------------------------------------------------------------------------------------------------------------------# +#Node Registration / 节点注册 + +NODE_CLASS_MAPPINGS = { + "NodeResizeImage": NodeResizeImage, + "NodeAutoSampler": NodeAutoSampler, +} \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..6b8f179 --- /dev/null +++ b/README.md @@ -0,0 +1,90 @@ +# ComfyUI_Simple_Executor +This node package includes nodes for automatically processing sampler settings based on model names and resizing images with specific constraints within ComfyUI. Subject to occasional updates. +本节点包包含在 ComfyUI 中根据模型名称自动处理采样器设置、按特定约束调整图像大小和一些其他节点。不定时更新中。 + +## Node List + +* **NodeAutoSampler**: Automatically sets sampler settings. +* **NodeResizeImage**: Resizes images, rounding dimensions up to multiples of 16. + +## Node Descriptions + +### 1. NodeAutoSampler (`NodeAutoSampler`) + +* **Description**: Sets sampler steps, CFG, and name based on the input `ckpt_name` and selected `mode` ("Auto", "If_include", "Else", "User"). Uses conditional logic based on keywords in `ckpt_name` or predefined settings. +* **Category**: `custom` +* **Key Inputs**: + * `ckpt_name` (STRING): Checkpoint name for logic. + * `mode` (COMBO): Operation mode. + * Optional settings for `if`, `else`, `user` conditions (steps, cfg, sampler). +* **Outputs**: `steps` (INT), `cfg` (FLOAT), `sampler` (STRING), `text` (STRING summary). +* **Usage**: Use 'Auto' mode with `if_include`='light' to apply specific settings (e.g., low steps/cfg) when 'light' is in the model name. +![image](https://github.com/KERRY-YUAN/ComfyUI_Simple_Executor/blob/main/Examples/NodeAutoSampler.png) + +--- +### 2. NodeResizeImage (`NodeResizeImage`) + +* **Description**: Resizes an image based on a target `shortside` length, maintaining aspect ratio. Final width and height are both rounded *up* (ceil) to the nearest multiple of 16. +* **Category**: `Image/Transform` +* **Inputs**: + * `image` (IMAGE): Image to resize. + * `shortside` (INT): Target length for the shorter side. +* **Outputs**: + * `image_resize` (IMAGE): Resized image. + * `width` (INT): Final width (multiple of 16). + * `height` (INT): Final height (multiple of 16). +* **Usage**: Resize 800x600 with `shortside`=768 results in 1024x768 output dimensions, as both are rounded up to the nearest 16x multiple. +![image](https://github.com/KERRY-YUAN/ComfyUI_Simple_Executor/blob/main/Examples/NodeResizeImage_16ceil.png) + +--- + +## Installation Steps + +1. Clone the repository into ComfyUI's `custom_nodes` directory: + cd /path/to/comfyui/custom_nodes + git clone https://github.com/KERRY-YUAN/ComfyUI_Simple_Executor.git +2. Restart ComfyUI. + +--- +--- + +## 节点列表 + +* **NodeAutoSampler**: 自动设置采样器参数。 +* **NodeResizeImage**: 调整图像大小，并将尺寸向上取整至16的倍数。 + +## 节点说明 + +### 1. NodeAutoSampler (`NodeAutoSampler`) + +* **描述**: 根据输入的 `ckpt_name` 和选择的 `mode`（"Auto", "If_include", "Else", "User"）设置采样器步数、CFG 和名称。基于 `ckpt_name` 中的关键字或预定义设置使用条件逻辑。 +* **分类**: `custom` +* **主要输入**: + * `ckpt_name` (STRING): 用于逻辑判断的检查点名称。 + * `mode` (下拉框): 操作模式。 + * 用于 `if`, `else`, `user` 条件的可选设置 (步数, cfg, 采样器)。 +* **输出**: `steps` (INT), `cfg` (FLOAT), `sampler` (STRING), `text` (STRING 摘要)。 +* **使用**: 使用 'Auto' 模式配合 `if_include`='light'，可在模型名称含 'light' 时应用特定设置（如低步数/CFG）。 + +--- +### 2. NodeResizeImage (`NodeResizeImage`) + +* **描述**: 根据目标 `shortside` 长度调整图像大小，保持宽高比。最终宽度和高度都将向上（ceil）取整至最接近的 16 的倍数。 +* **分类**: `Image/Transform` +* **输入**: + * `image` (IMAGE): 待调整图像。 + * `shortside` (INT): 目标短边长度。 +* **输出**: + * `image_resize` (IMAGE): 调整后的图像。 + * `width` (INT): 最终宽度（16的倍数）。 + * `height` (INT): 最终高度（16的倍数）。 +* **使用**: 使用 `shortside`=768 调整 800x600 图像，输出尺寸为 1024x768，因为宽高都向上取整至最接近的16倍数。 + +--- + +## 安装步骤 + +1. 将仓库克隆到 ComfyUI 的 `custom_nodes` 目录： + cd /path/to/comfyui/custom_nodes + git clone https://github.com/KERRY-YUAN/ComfyUI_Simple_Executor.git +2. 重启 ComfyUI。 \ No newline at end of file diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..1232de7 --- /dev/null +++ b/__init__.py @@ -0,0 +1,11 @@ +""" +Author: "KERRY-YUAN", +Title: "NodeSimpleExecutor", +Git-clone: "https://github.com/KERRY-YUAN/ComfyUI_Simple_Executor", +This node package contains automatic sampler setting according to model name in ComfyUI, adjusting image size according to specific constraints and some other nodes. +本节点包包含在 ComfyUI 中根据模型名称自动处理采样器设置、按特定约束调整图像大小和一些其他节点。。 +""" + +from .NodeSimpleExecutor import NODE_CLASS_MAPPINGS + +__all__ = ['NODE_CLASS_MAPPINGS'] \ No newline at end of file diff --git a/manifest.json b/manifest.json new file mode 100644 index 0000000..13d5fe2 --- /dev/null +++ b/manifest.json @@ -0,0 +1,11 @@ + { + "author": "KERRY-YUAN", + "title": "NodeSimpleExecutor", + "id": "NodeSimpleExecutor", + "reference": "https://github.com/KERRY-YUAN/ComfyUI_Simple_Executor", + "files": [ + "https://github.com/KERRY-YUAN/ComfyUI_Simple_Executor" + ], + "install_type": "git-clone", + "description": "This node package contains automatic sampler setting according to model name in ComfyUI, adjusting image size according to specific constraints and some other nodes." + }, \ No newline at end of file diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..35e492c --- /dev/null +++ b/requirements.txt @@ -0,0 +1,3 @@ +torch>=1.12.0 +numpy>=1.21.0 +Pillow>=8.0.0 \ No newline at end of file