# Model weights — pulled from HuggingFace, never committed here.
*.npz

# Generated audio — anywhere on the tree, including output/.
*.wav

# Python virtualenv created by install.sh
.venv/

# Python bytecode caches
__pycache__/
*.pyc
output/gradio/

# Local LoRA library scanned by the gradio UI (user adapters, never committed)
loras/

# Trainer telemetry (written to cwd, underfit convention)
loss_by_timestep.bin