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This rantir template takes a video, extracts frames, and uses a multimodal LLM to generate a script. The script is then passed back to the same multimodal LLM to generate a voiceover clip.
How it works
- The video is downloaded using the HTTP node.
- A Python code node is used to extract frames from the video using OpenCV.
- A loop node batches the frames for the LLM to generate partial scripts.
- The partial scripts are then combined to form the full script, which is sent to OpenAI for audio generation.
- The finished voiceover clip is uploaded to Google Drive.
Requirements
- OpenAI for the LLM.
- Ideally, a mid-range machine (16GB RAM) for acceptable performance!
Customising this workflow
- For larger videos, consider splitting them into smaller clips for better performance.
- Use a multimodal LLM that supports full video, such as Google's Gemini.
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