JasonandJohn | Elite Encoder
7ed6c75652
* feat: add real-time audio transcription and SRT generation nodes * feat: add RETURN_NAMES to AudioTranscriptionNode class * feat: implement RETURN_NAMES as a class method in AudioTranscriptionNode * refactor: add real-time audio transcription node and SRT generation capabilities * refactor: clean up imports and update class attributes in transcription nodes * refactor: streamline audio transcription logic and improve buffer handling * refactor: reorganize imports and streamline node registration in audio transcription * refactor: improve code readability and structure in audio transcription node * refactor: update SRT generation to return subtitles in JSON format * fix warmup sentienl in transcription node * adjust buffer logic for comfystream load_audio_tensor_stream node * fix return_name in srt_generator node (was breaking lightgraph) --------- Co-authored-by: John | Elite Encoder <john@eliteencoder.net>
ComfyUI Node Pack
A suite of custom ComfyUI nodes for building real-time video and audio workflows using ComfyStream. This pack introduces nodes that enable live streaming, AI-enhanced processing, and real-time interaction with ComfyUI workflows.
Node Categories
The node pack is organized into three categories based on their function:
Foundation Nodes
Foundation Nodes introduce entirely new capabilities to ComfyUI, unlocking workflows that were previously impossible. These nodes typically:
- Introduce new AI models or stable diffusion checkpoints.
- Enable core functionality that can be further expanded with Light Nodes.
Note
No Foundation Nodes have been added yet.
Light Nodes
Light Nodes modify or enhance existing workflows by:
- Tweaking parameters or intermediate values in Foundation Nodes.
- Providing workflow insights or debug information.
- Creating variations of existing functionalities for new use cases.
Note
No Light Nodes have been added yet.
Input/Output Nodes
These nodes extend ComfyUI's input and output capabilities, making real-time streaming workflows possible. They allow users to:
- Load and process video, audio, or tensor data from external sources.
- Stream outputs to Livepeer, WebRTC, or other real-time platforms.
- Connect external data sources for AI-driven workflows.
Examples:
- LoadTensor - Loads tensor data for real-time processing.
- LoadAudioTensor - Processes real-time audio input.
Note
No additional Input/Output Nodes have been added yet.