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Instantly create video clips from LLM prompts

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video-db/PromptClip

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PromptClip ✄

Create video clips using LLM prompts
🐞Report a Bug ·💡Suggest a Feature

PromptClip: Create Instant Video Clips with LLM Prompts 🍭

What does it do? 🤔

It allows any developer to:

  • 📚 Upload a video from any source (Local Files, Youtube, S3 etc.)
  • 🔍 Prompt that video in natural language with queries likeShow funny moments in the videoorfind the moments useful for social media trailer
  • 🎛️ Use any LLM of your choice like OpenAI, Claude or Gemeni Pro.
  • 🌟 Instantly watch the clip of those moments.
  • 🛠️ Finetune the clip or supercut by ranking results, managing length of the clip etc.
  • 🎸 Add music or image overlay to the clip.

Results 🎉

Checkout these prompts and the results 👉🏼

Original VideoPromptLink
Shark TankFind every moment where a deal was offeredwatch
Useful GadgetsShow me moments in the video where the host discusses or reveals the pricing of the gadgetswatch
Sponsorship Details of Huberman PodcastFind details about every sponsorwatch
Highlights from Masterchef EpisodeShow me the feedback from every judgewatch
Important Topics/Advice from a LectureFind sentences where anxiety is discussedwatch
Tech Review VideoFind sentences where host explains about the batterywatch
Travel VideoWhat are some popular tourist destinations in Sri Lankawatch

How do I use it? 🛠️

  • Get your API key: Sign up onVideoDB console (Free for the first 50 uploads, nocredit card required). 🆓
  • SetVIDEO_DB_API_KEY: Enter your key in theenv file.
  • SetOPENAI_API_KEY orANTHROPIC_KEY: Add your LLM API Key in theenv file.
  • Install dependencies: Runpip install -r requirements.txt in your terminal.
  • Run locally: Run the notebookPromptClip_text.ipynb,PromptClip_visual.ipynb andPromptClip_multimodal.ipynb to experiment with your prompts and ranking of results.

Roadmap 🛣️

  1. Add support for music generation models to jazzup the cuts.
  2. Integrate with other projects like Pika Labs and Midjourney.

Contributing 🤝

Your contributions make the open-source community an incredible place for learning, inspiration, and creativity. Wewelcome and appreciate your input! Here's how you can contribute:

  • Open issues to share your use cases.
  • Participate in brainstorming solutions for our roadmap.
  • Suggest improvements to the codebase.

Contribution Steps

  1. Fork the Project 🍴
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request 📬


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