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README.md
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- mimi
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- llama
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---
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- mimi
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- llama
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---
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# Miso TTS 8B BF16 for ComfyUI
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BF16 conversion of **Miso TTS 8B** prepared specifically for use with the **MisoTTS-ComfyUI** custom node:
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https://github.com/Saganaki22/MisoTTS-ComfyUI
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This repository contains converted BF16 weights only. No architectural changes, finetuning, retraining, or modifications to the original model behavior have been made.
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## Model Introduction
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Miso TTS 8B is a text-to-speech model based on the Sesame CSM architecture. It generates Mimi audio codes from text and optional audio context using a large Llama-style backbone and an autoregressive audio decoder.
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This BF16 release is intended for ComfyUI users who want reduced memory usage while maintaining output quality comparable to the original release.
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## Quickstart
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1. Install ComfyUI.
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2. Install the MisoTTS-ComfyUI custom node:
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https://github.com/Saganaki22/MisoTTS-ComfyUI
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3. Place this BF16 checkpoint in your MisoTTS model directory.
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4. Load the model using the MisoTTS-ComfyUI loader node.
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5. Generate speech from text or reference-audio workflows.
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## Model Summary
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| Item | Value |
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|--------|--------|
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| Model | Miso TTS 8B |
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| Variant | BF16 Conversion |
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| Intended Platform | ComfyUI |
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| Custom Node | MisoTTS-ComfyUI |
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| Task | Text-to-Speech |
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| Architecture | Sesame-style CSM |
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| Backbone | llama-8B |
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| Audio Decoder | llama-300M |
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| Audio Tokenizer | Mimi |
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| Text Vocabulary | 128,256 |
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| Audio Vocabulary | 2,051 |
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| Audio Codebooks | 32 |
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| Max Sequence Length | 2,048 |
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| Precision | BF16 |
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| Format | Safetensors |
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## Architecture
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Miso TTS 8B uses two transformer components:
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- A large backbone transformer that consumes text and audio-frame embeddings.
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- A smaller autoregressive decoder transformer that predicts higher-order audio codebooks.
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Codebook 0 is predicted directly from the backbone hidden state, while codebooks 1 through 31 are generated autoregressively by the decoder.
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This release preserves the original architecture and only changes weight precision.
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## BF16 Conversion Notes
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- Converted from the original Miso TTS weights.
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- No retraining performed.
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- No finetuning performed.
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- No quantization applied.
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- Intended for lower memory usage compared to FP32 checkpoints.
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- Output quality should remain effectively identical to the original model aside from minor numerical differences inherent to BF16 inference.
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## Intended Use
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This model is intended for:
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- Text-to-speech generation
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- Conversational speech synthesis
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- Voice continuation workflows
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- Reference-audio conditioned speech generation
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- ComfyUI audio generation pipelines
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## Limitations
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- Voice similarity from reference audio is not guaranteed.
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- Long generations may require workflow chunking.
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- Output quality remains dependent on prompting and generation settings.
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- BF16 support is recommended at the hardware level for optimal performance.
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## Attribution
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Original model:
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- MisoLabs / Miso TTS 8B
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ComfyUI integration:
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- https://github.com/Saganaki22/MisoTTS-ComfyUI
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All credit for the original architecture, training, datasets, and research belongs to the original Miso Labs team.
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## License
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This BF16 conversion inherits the licensing and usage restrictions of the original Miso TTS release. Please review the upstream license before use.
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