| --- |
| license: other |
| license_name: coqui-public-model-license |
| license_link: https://coqui.ai/cpml |
| base_model: coqui/XTTS-v2 |
| pipeline_tag: text-to-speech |
| library_name: coqui |
| tags: |
| - text-to-speech |
| - zero-shot-tts |
| - voice-cloning |
| - machine-unlearning |
| - speaker-unlearning |
| - cond-id |
| - reproducibility |
| - mirror |
| --- |
| |
| # XTTS-v2 — pinned mirror for cond-ID |
|
|
| An **unmodified, commit-pinned mirror** of [`coqui/XTTS-v2`](https://huggingface.co/coqui/XTTS-v2), |
| published so the results in the cond-ID paper stay reproducible even if the upstream |
| repository moves, is retagged, or disappears. |
|
|
| > ⚠️ **Non-commercial.** XTTS-v2 is released under the |
| > [Coqui Public Model License (CPML)](https://coqui.ai/cpml). That license applies |
| > unchanged to this mirror and to any model edited on top of it. Read it before use. |
|
|
| ## What this is |
|
|
| | | | |
| |---|---| |
| | Upstream | [`coqui/XTTS-v2`](https://huggingface.co/coqui/XTTS-v2) | |
| | Pinned commit | `6c2b0d75eae4b7047358e3b6bd9325f857d43f77` | |
| | Modifications | **None.** Byte-identical weights. | |
| | Purpose | Reproducibility anchor for the cond-ID paper | |
|
|
| This is **not** an unlearned model. It is the *base* checkpoint that cond-ID edits. |
| The unlearning method itself is a few-step fine-tune of the speaker-conditioning path |
| and is distributed as a small adapter patch, not as full weights. |
|
|
| ## Files |
|
|
| ``` |
| config.json XTTS-v2 model config |
| model.pth main checkpoint (1.87 GB) |
| dvae.pth discrete VAE (211 MB) |
| mel_stats.pth mel statistics |
| speakers_xtts.pth built-in speaker embeddings |
| vocab.json tokenizer vocabulary |
| LICENSE.txt Coqui Public Model License 1.0.0 |
| ``` |
|
|
| ### Note: the Hub's "Invalid JSON for config file config.json" warning |
|
|
| This warning is expected and harmless. Upstream's `config.json` uses bare `Infinity` |
| literals for two fields: |
|
|
| ```json |
| "max_audio_len": Infinity, |
| "max_text_len": Infinity, |
| ``` |
|
|
| `Infinity` is valid to Python's `json` module but is **not** part of the JSON spec, so the |
| Hub's strict parser rejects the file and shows the warning. The identical warning appears |
| on [`coqui/XTTS-v2`](https://huggingface.co/coqui/XTTS-v2) itself. |
|
|
| Both fields are **training-time dataset filters** and are never read during synthesis, so |
| nothing is broken. The file is left exactly as upstream published it: this repository |
| exists to be a byte-identical reproducibility anchor, and silently editing the config |
| would defeat that. Coqui's own loader (`XttsConfig`) parses it without complaint. |
|
|
| ## Usage |
|
|
| Fetch it the way the paper's code does: |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="RootAccess4Life/cond-id-xtts-v2", |
| local_dir="models/xtts_v2", |
| ) |
| ``` |
|
|
| Then point cond-ID at it: |
|
|
| ```bash |
| export CD_XTTS_DIR=models/xtts_v2 |
| python scripts/run_eval.py --config configs/xtts.yaml |
| ``` |
|
|
| To fetch from upstream instead (the default in the repo): |
|
|
| ```bash |
| python scripts/download_models.py --model xtts |
| ``` |
|
|
| ## Why XTTS-v2 in this paper |
|
|
| XTTS-v2 is an autoregressive codec language model, and it is the backbone where cond-ID |
| faces its strongest adversary: XTTS ships an official codec LM loss, which makes a |
| white-box **relearn attack** (re-finetuning to recover an erased speaker) genuinely |
| threatening. Relearn-robustness is therefore reported on XTTS-v2 in the paper. |
|
|
| ## Related |
|
|
| - 💻 Code: https://github.com/pujariaditya/cond-id-tts-unlearning |
| - 🔇 Live demo: https://huggingface.co/spaces/RootAccess4Life/cond-id-demo |
| - 🎧 Audio samples: https://huggingface.co/datasets/RootAccess4Life/cond-id-samples |
| - 📦 IndexTTS-1.5 mirror: https://huggingface.co/RootAccess4Life/cond-id-indextts-1.5 |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{pujari_condid, |
| title = {cond-ID: Conditioning-Space Identity Redirection for Speaker Unlearning in Zero-Shot TTS}, |
| author = {Pujari, Aditya and Rattani, Ajita}, |
| note = {Preprint}, |
| } |
| ``` |
|
|
| Please also cite Coqui XTTS-v2 upstream. All credit for these weights belongs to Coqui. |
|
|
