PROMPT RADAR / VIDEO视频叙事

🎯𝟭𝟲 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗔𝗜 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲 Book

🎯𝟭𝟲 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗔𝗜 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲 Bookmark this list before your next AI project. These repositories cover everything from coding agents and RAG to OCR, image generation, and LLM deploym

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编辑先看

它为什么值得进入灵感库

这条内容值得留下的,不是表面的风格词,而是它提供了一条可以继续实验的画面路径。 把一段描述拆成起始状态、动作变化、镜头响应和结束画面,连续性比形容词更重要。

动作与镜头 Prompt

🎯𝟭𝟲 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗔𝗜 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲 Bookmark this list before your next AI project. These repositories cover everything from coding agents and RAG to OCR, image generation, and LLM deployment. 🟠 1. OpenClaw ➡️ Personal AI agent that runs on your devices and connects to 50+ messaging platforms. 🟠 2. AutoGPT ➡️ Platform for building, deploying, and running autonomous AI agents. 🟠 3. Hugging Face Transformers ➡️ The model framework for state-of-the-art ML across text, vision, audio, and multimodal. 🟠 4. Ollama ➡️ Run powerful LLMs locally on your hardware with a single command. 🟠 5. LangChain ➡️ The foundational framework for building agents and LLM-powered applications. 🟠 6. Open WebUI ➡️ Self-hosted, offline-capable ChatGPT alternative with built-in RAG and plugin system. 🟠 7. ComfyUI ➡️ Node-based visual workflow builder for AI image and video generation applications. 🟠 8. Sim ➡️ Open-source drag-and-drop workflow builder for creating and deploying AI agent pipelines. 🟠 9. Opik ➡️ Open-source platform to trace, evaluate, and monitor LLM apps and agentic workflows. 🟠 10. Firecrawl ➡️ Turn any website into LLM-ready markdown or structured data. 🟠 11. Airweave ➡️ Open-source context retrieval layer that syncs 50+ data sources for AI agents. 🟠 12. vLLM ➡️ High-throughput, memory-efficient LLM serving engine for production deployments. 🟠 13. Unsloth ➡️ Fine-tune and run open models 2× faster with 70% less memory. 🟠 14. OpenPipe ART ➡️ Train multi-step AI agents for real-world tasks using RL. 🟠 15. OpenCode ➡️ Open-source, provider-agnostic AI coding agent built for the terminal. 🟠 16. Chandra OCR (by Datalab) ➡️ State-of-the-art OCR model for complex tables, forms, handwriting, and 90+ languages. ❤️ Like 🔁 Retweet 🔖 Bookmark Follow @sonalshukla3377 for more such posts
查看原作者内容

不要一次改完所有变量

用 Seedance 复刻时,建议先单独生成稳定首帧,再把动作拆成“开始、变化、收束”三段;每段只保留一个主要运动。

  1. 主体:🎯𝟭𝟲 𝗠𝘂𝘀𝘁-𝗞𝗻𝗼𝘄 𝗔𝗜 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲 Bookmark this list before your next AI project. These repositories cover everything from coding agents and RAG to OCR, image generation, and LLM deploym
  2. 视觉方向:实时 AI 视频案例;查看原帖媒体与作者说明
  3. 镜头与构图:按原帖镜头流程执行;查看原帖媒体与工作流
  4. 交付约束:auto,保留原作者方法与归属;复刻时避免水印、低清、畸变、主体漂移和无关文字。
负向约束

保留原作者方法与归属;复刻时避免水印、低清、畸变、主体漂移和无关文字。

模型建议

Seedance / Veo / Kling。先用原始 Prompt 建立基准结果,再根据模型对自然语言、镜头运动或文字排版的能力做局部改写。

来源与编辑原则

保留作者,也保留判断。

本页收录公开案例并提供中文索引、结构化拆解和复刻建议,不冒充原作者作品,也不替代原帖上下文。

作者:Sonal Shukla · 收录于 2026年7月21日

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