SF ComfyUI Nodes

A collection of custom nodes for ComfyUI developed by Stillfront.

Features

  • LLM Integration — Chat with Claude, Gemini, and OpenAI GPT models, with optional image input
  • WaveSpeed AI — Image and video generation (VEO, Sora, Qwen, ByteDance, Kling, VIDU, WAN, and more)
  • VertexAI — Google Imagen3 and VEO video generation via Vertex AI
  • Utility Nodes — Resolution presets, dynamic prompt lists, text analysis

Installation

Search for "SF ComfyUI Nodes" in ComfyUI Manager and click Install.

Manual

cd ComfyUI/custom_nodes
git clone https://github.com/Stillfront/comfyui-sf-nodes.git
cd comfyui-sf-nodes
pip install -r requirements.txt

Configuration

  1. Copy config.ini.tmp to config.ini
  2. Add your API keys:
    • WAVESPEED_API_KEY
    • ANTHROPIC_API_KEY (for Claude)
    • GEMINI_API_KEY (for Gemini)
    • Google Cloud credentials (for VertexAI nodes)

Node Categories

All nodes are prefixed with SF for easy searching in ComfyUI.

Stillfront/LLM

  • SF LLM Chat — Multi-model chat (Claude, Gemini, GPT) with image support and token usage reporting
  • SF Text Analyzer — Text analysis utilities

Stillfront/WaveSpeed

  • SF WaveSpeed Client — API client configuration
  • SF VEO 3.1 Text to Video — Google VEO video generation
  • SF Sora 2 Text to Video — OpenAI Sora video generation
  • SF Qwen Image — Qwen image generation and editing
  • SF ByteDance Seedream — ByteDance image generation
  • SF Kling — Kling video generation
  • SF VIDU — VIDU video generation
  • And many more...

Stillfront/VertexAI

  • SF Imagen3 — Google Imagen3 image generation
  • SF VEO Video — Video generation via Vertex AI

Stillfront/Utils

  • SF Qwen Resolution — Resolution presets with visual preview
  • SF Prompt List — Dynamic multi-input text combiner (2–50 inputs)

Requirements

  • Python 3.10+
  • ComfyUI
  • See requirements.txt for Python dependencies

License

MIT License

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