Instructions to use Reza2kn/Gooya-Bozorg-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use Reza2kn/Gooya-Bozorg-v1.5 with Chatterbox:
# pip install chatterbox-tts import torchaudio as ta from chatterbox.tts import ChatterboxTTS model = ChatterboxTTS.from_pretrained(device="cuda") text = "Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill." wav = model.generate(text) ta.save("test-1.wav", wav, model.sr) # If you want to synthesize with a different voice, specify the audio prompt AUDIO_PROMPT_PATH="YOUR_FILE.wav" wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH) ta.save("test-2.wav", wav, model.sr) - Notebooks
- Google Colab
- Kaggle
Gooya Bozorg v1.5
Gooya Bozorg v1.5 is the versioned PersianASR distribution of
Thomcles/Chatterbox-TTS-Persian-Farsi,
a Persian fine-tune of Resemble AI's 500M multilingual Chatterbox TTS model.
This release preserves the selected upstream checkpoint exactly. We did not
claim additional training or altered weights: it was promoted after a controlled
listening comparison against our own 227,753-clip step-3500 fine-tune, where the
upstream Persian checkpoint retained slightly better pronunciation and pacing.
The weight hashes are recorded in MODEL_MANIFEST.json.
Why “Bozorg”?
This is the larger, higher-quality Gooya lane. It prioritizes Persian speech quality and zero-shot voice cloning over the footprint of Gooya's small/on-device models.
Quick start
Install the official Chatterbox repository and the small runtime dependencies:
git clone https://github.com/resemble-ai/chatterbox.git
cd chatterbox
pip install -e .
pip install huggingface_hub safetensors soundfile
Then download this repository and run:
python inference.py \
--model-dir /path/to/Gooya-Bozorg-v1.5 \
--text "سلام، حالت چطوره؟" \
--reference /path/to/reference.wav \
--output gooya-bozorg.wav
The reference should be a clean single-speaker WAV. The defaults match the
comparison run: exaggeration=0.5 and cfg_weight=0.5.
Included comparison samples
samples/canonical.wav: conversational Persian pronunciationsamples/conversational.wav: punctuation and dialogue-like pacingsamples/codeswitch.wav: mixed Persian and English terms
All three were generated with fixed seeds and the same reference/settings used for the competing Gooya checkpoint.
Provenance
- Upstream model:
Thomcles/Chatterbox-TTS-Persian-Farsi - Pinned upstream snapshot:
4e9f6b7043d30d8328bb842b6126676bead8d9de - Architecture/runtime:
ResembleAI/chatterbox - Weight status: byte-identical repackaging of the selected upstream files
- PersianASR release name: Gooya Bozorg v1.5
Credit for the Persian training and original release belongs to Thomcles. Credit for Chatterbox belongs to Resemble AI.
Limitations
- This model can still mispronounce ambiguous Persian words and mixed-script text.
- Pacing and question intonation are improved relative to our tested fine-tune, but are not fully controllable.
- Output quality depends strongly on the reference clip.
- This release is not a tiny/on-device model and needs substantially more memory than Gooya's small models.
- The license is non-commercial; review it before deployment.
License
The upstream checkpoint is released under CC BY-NC 4.0. This repository keeps the same license and attribution requirements. It is not licensed for commercial use.
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Base model
ResembleAI/chatterbox