Transcribe audio using Whisper within ComfyUI and transform song lyrics into structured prompt schedules for use in various applications. This tool enables users to create prompt travel schedules at any chosen frame rate, enhancing the functionality of ComfyUI.
- Integrates Whisper for accurate audio transcription, providing users with timestamps for better synchronization.
- Converts transcribed text into a structured format suitable for prompt travel schedules, allowing for seamless integration into workflows.
- Supports customizable frame rates, giving users control over the timing of their prompts based on specific project needs.
Context
This tool, known as ComfyUI Schedulizer, is an extension designed to work with ComfyUI, a user-friendly interface for Stable Diffusion. Its primary purpose is to facilitate the transcription of audio content and the conversion of that content into organized prompt schedules, making it easier for users to manage and implement audio-driven projects.
Key Features & Benefits
The Schedulizer features a Whisper node that accurately transcribes audio, capturing crucial timestamps that help users align prompts with specific moments in the audio. Additionally, its prompt schedule converter takes the transcribed lyrics and reformats them into a usable schedule, enhancing workflow efficiency and usability in creative projects.
Advanced Functionalities
The tool allows for flexibility in frame rate selection, enabling users to tailor the timing of their prompts to fit the specific requirements of their projects. This capability is particularly beneficial for users working on multimedia projects where synchronization with audio is critical.
Practical Benefits
By automating the transcription and scheduling process, the ComfyUI Schedulizer significantly improves the workflow for users, providing greater control over the timing and presentation of prompts. This leads to higher quality outputs and more efficient project management, allowing users to focus on creativity rather than manual adjustments.
Credits/Acknowledgments
The development of this tool acknowledges contributions from several repositories, including ComfyUI, OpenAI's Whisper, and various other ComfyUI extensions. The code and model weights for Whisper are released under the MIT License, which also applies to this tool.