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---
license: apache-2.0
library_name: transformers
language:
- zh
- en
tags:
- audio
- speech-recognition
- text-to-speech
- voice-cloning
- speech-editing
- comfyui
---

# FireRedAudio Β· T8star-Aix distribution

This repository provides the pinned FireRedAudio model snapshot used by both:

- [FireRedAudio T8star-Aix Desktop](https://github.com/T8mars/FireRedAudio-T8-Desktop)
- [comfyui-fireredaudio-T8](https://github.com/T8mars/comfyui-fireredaudio-T8)

The source project and model are maintained by [FireRedTeam/FireRedAudio](https://github.com/FireRedTeam/FireRedAudio). This mirror provides pinned, resumable T8star-Aix revisions. Every revision keeps the same top-level layout and includes its own integrity and quantization metadata. Review the upstream license, model documentation, and limitations before use.

## Profiles

| Revision | Download | Status | Capabilities |
|---|---:|---|---|
| `bf16-slim-v1` | about 21.19 GiB | stable, lossless | Full stack, original BF16 main weights and inference-only RedAE decoder |
| `int8-wo-safe-v1` | about 14.76 GiB | stable, recommended | Full stack, TorchAO A16W8 Qwen blocks; audio modules stay in released precision |
| `int8-wo-extended-v1` | about 13.58 GiB | experimental | Full stack, extended A16W8 including audio blocks |
| `int8-convrot-experimental-v1` | about 14.76 GiB | experimental | Full stack, Comfy-Kitchen ConvRot A8W8 |

All revisions above include `RedAE_decoder/model.safetensors`. GGUF is not provided because existing GGUF runtimes cannot execute the complete audio encoder, continuous latent, DiT, and RedAE graph.

## Required layout

The same directory can be used by Desktop and ComfyUI:

```text
FireRedAudio/
β”œβ”€ FireRedAudio/
β”‚  β”œβ”€ config.json
β”‚  β”œβ”€ model-00001-of-*.safetensors
β”‚  β”œβ”€ ...
β”‚  β”œβ”€ model.safetensors.index.json
β”‚  β”œβ”€ processor_config.json
β”‚  β”œβ”€ tokenizer.json
β”‚  └─ tokenizer_config.json
└─ RedAE_decoder/
   └─ model.safetensors
```

## Desktop installation

The desktop application has a built-in downloader. Choose `Hugging Face` or `Auto`, select Lite/Full, and click **εΌ€ε§‹/η»§η»­δΈ‹θ½½**. Interrupted downloads resume using Hugging Face Hub metadata.

For a manual download:

```python
from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="t8star/Firered-Audio-Comfy",
    revision="int8-wo-safe-v1",
    local_dir=r"D:\FireRedAudio-Models",
)
```

Then select `D:\FireRedAudio-Models` as the model root in the desktop application.

## ComfyUI installation

Install the node first, then run its downloader:

```powershell
cd ComfyUI\custom_nodes\comfyui-fireredaudio-T8
python scripts\setup_runtime.py
python scripts\download_models.py --target "D:\ComfyUI\models\TTS\FireRedAudio" --profile full --source huggingface
```

Or use `snapshot_download` directly with this destination:

```python
from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="t8star/Firered-Audio-Comfy",
    revision="int8-wo-safe-v1",
    local_dir=r"D:\ComfyUI\models\TTS\FireRedAudio",
)
```

Restart ComfyUI and select `FireRedAudio` in the `T8 FireRedAudio Model Loader` node. Do not place these dependencies into ComfyUI's Python environment; the node uses its own pinned worker runtime to keep Transformers 5.8 isolated from other nodes.

## Integrity and reproducibility

The integrations pin a specific immutable Hub revision. Every profile contains `fireredaudio-model.json` with its exact file sizes and SHA-256 values; INT8 profiles also contain `FireRedAudio/fireredaudio_quantization.json`. Desktop and ComfyUI perform a fast structural/size validation after selection and can optionally perform a full SHA-256 validation.

## Responsible use

Only clone or edit voices with the speaker's authorization and in compliance with applicable law and platform policies. Do not use generated audio for impersonation, fraud, harassment, infringement, or deceptive attribution. Generated output may contain errors or artifacts and requires human review before publication.