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。
01 / 原始方法
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
02 / 复刻路径
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。
- 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
- 视觉方向:实时 AI 视频案例;查看原帖媒体与作者说明
- 镜头与构图:按原帖镜头流程执行;查看原帖媒体与工作流
- 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