ComfyUI_Dados_Nodes

ComfyUI_Dados_Nodes
★ 9

自定义节点服务集成Pinterest支持隐私政策
为ComfyUI提供扩展自定义节点，增强功能并接入第三方服务（如Pinterest），支持快速部署与隐私说明
💡 克隆并安装仓库以快速为ComfyUI添加Pinterest等服务集成
🍴 4 Forks💻 Python🔄 2025-11-12
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📦 requirements.txt
dynamicprompts
xxhash
num2words
groq
aiohttp
timm
📄 README

ComfyUI Dados Nodes

A collection of custom nodes for ComfyUI featuring AI vision models, advanced text processing tools, and wildcard prompt utilities.

Features

🤖 AI Vision Models

  • SmolVLM Node – Lightweight multimodal model for image description and analysis
  • JoyTagger – Advanced image tagging with customizable tag counts
  • MiaoshouAI Tagger – Florence-2 based prompt generation and captioning

    • 📝 Text Processing

  • Dynamic Text Concatenate – Flexible text combination with custom delimiters
  • Text DropDown – Interactive dropdown selections with random selection and duplicate filtering
  • CSV Multi DropDown – Parse CSV rows into dynamic dropdowns with duplicate filtering and random selection
  • Multiline String – Simple multiline text input handling

    • 🎲 Wildcard System

  • Wildcard Prompt Editor – Advanced wildcard editing with nested selections
  • Wildcards Processor – Process wildcards with seed control and attention support

    • *Note: Use Wildcard Prompt Editor output with Wildcards Processor for random wildcard processing.*

    Installation

    Option 1: ComfyUI Manager (Recommended)

    Simply search for “Dados Nodes” in ComfyUI Manager and install.

    Option 2: Manual Installation

  • Navigate to your ComfyUI custom nodes directory:

    • “`bash

    cd ComfyUI/custom_nodes/

    “`

  • Clone this repository:

    • “`bash

    git clone https://github.com/dadoirie/ComfyUI_Dados_Nodes.git

    “`

  • Install dependencies:

    • “`bash

    cd ComfyUI_Dados_Nodes

    pip install -r requirements.txt

    “`

  • Restart ComfyUI

    • Node Details

    SmolVLM Image Describer

  • Supports multiple model sizes (256M, 500M)
  • Both SmolVLM and SmolVLM2 variants available
  • Automatic model downloading from HuggingFace
  • Customizable prompts and token limits

    • JoyTagger

  • High-quality image tagging
  • Adjustable tag count (1-100)
  • Automatic model downloading
  • Clean tag processing and formatting

    • MiaoshouAI Tagger

  • Multiple instruction types: GENERATE_TAGS, CAPTION, DETAILED_CAPTION
  • Florence-2 base and large models
  • Version 1.5 and 2.0 support
  • Configurable token limits

    • Wildcards Processor

  • Seed-based randomization
  • Attention generator support
  • Compatible with dynamic prompts syntax
  • Handles random wildcard selection from Wildcard Prompt Editor output or any other text/string source

    • Wildcard Prompt Editor

  • Interactive web-based editor
  • Nested wildcard support
  • Real-time preview
  • Selection persistence
  • Connect output to Wildcards Processor for random wildcard processing

    • Requirements

  • dynamicprompts – For wildcard processing functionality

    • Model Storage

    Models are automatically downloaded to:

    ComfyUI_Dados_Nodes/models/
├── smolvlm-256m-instruct/
├── smolvlm-500m-instruct/
├── smolvlm2-256m-video-instruct/
├── smolvlm2-500m-video-instruct/
├── florence-2-base-promptgen-v1.5/
├── florence-2-large-promptgen-v1.5/
├── florence-2-base-promptgen-v2.0/
├── florence-2-large-promptgen-v2.0/
└── joytag/

    Known Issues

  • SmolVLM2 Models: SmolVLM2-256M-Video-Instruct and SmolVLM2-500M-Video-Instruct are currently not working. This will be fixed in upcoming releases.

    • License

    MIT License – see LICENSE file for details.

    Contributing

    Issues and pull requests are welcome on GitHub.

    Note: This project is actively developed. Some features may change between versions.