# MOSS LoRA Guide This guide defines the local adapter layout and loading behavior for **MOSS-TTS LoRA adapters** in TTS Audio Suite. ## Local Folder Layout MOSS LoRA adapters should live under: ```text ComfyUI/models/TTS/moss_tts/loras/ ``` Each adapter must have its **own folder**: ```text ComfyUI/models/TTS/moss_tts/loras/ MyNorwegianLoRA/ adapter_config.json adapter_model.safetensors ``` Recommended structure: ```text / adapter_config.json adapter_model.safetensors ``` Also accepted: ```text / adapter_config.json adapter_model.bin ``` ## Required Files Each adapter folder must contain: - `adapter_config.json` - one adapter weights file: - `adapter_model.safetensors` preferred - or `adapter_model.bin` Extra files are allowed, for example: - `README.md` - training metadata - tokenizer notes ## What Is Not Supported Do not place loose adapter files directly inside: ```text ComfyUI/models/TTS/moss_tts/loras/ ``` This is **not** a supported layout: ```text loras/ adapter_config.json some_weights.safetensors ``` This is also **not** supported: ```text loras/ MyLoRA.safetensors ``` One adapter must always be one folder. ## Engine Node Behavior The MOSS engine node supports two adapter paths: 1. **Local LoRA dropdown** - lists valid adapter folders discovered under `models/TTS/moss_tts/loras` 2. **Advanced override field** - accepts: - a local adapter folder path - a Hugging Face repo id If you enter a Hugging Face repo id, TTS Audio Suite installs it into: ```text ComfyUI/models/TTS/moss_tts/loras// ``` Then it loads the adapter from that local folder. ## Why This Layout Exists TTS Audio Suite does **not** use Hugging Face cache as the final managed storage location for MOSS LoRAs. This layout keeps adapters: - visible in the MOSS dropdown - stored inside the normal TTS model tree - ready for future training output - separate from ComfyUI diffusion LoRA folders ## Training Output Standard Future MOSS training should write adapters in exactly this format: ```text ComfyUI/models/TTS/moss_tts/loras// adapter_config.json adapter_model.safetensors ``` That keeps training, manual installs, and inference all using the same contract.