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PR #443 wrapped the model *load* path with `force_offline_if_cached` so cached models don't phone home at startup. The context manager restores `HF_HUB_OFFLINE` on exit, which left inference paths (generate, transcribe, voice-prompt creation) unguarded — and `qwen_tts`, `mlx_audio`, and `transformers` perform lazy tokenizer/processor/config lookups during inference. With internet on, those lookups are near-instant and invisible; with internet off, `requests` hangs on DNS or connect until the network returns. This is exactly what users in #462 describe: model shows "Loaded", internet drops, generation "thinks" forever, internet comes back, generation completes. Chatterbox and LuxTTS don't exhibit this because their engine libs resolve everything through already-cached paths at load time. Fix: wrap each inference-sync body with `force_offline_if_cached(True, ...)`. Since inference only runs after a successful load, weights are known to be on disk, so `is_cached=True` is unconditional. Also adds the load-time guard that was missing from `qwen_custom_voice_backend.py` — CustomVoice previously had no offline protection at all. Paths patched: - PyTorchTTSBackend.create_voice_prompt (create_voice_clone_prompt) - PyTorchTTSBackend.generate (generate_voice_clone) - PyTorchSTTBackend.transcribe (Whisper generate + decoder-prompt-ids) - MLXTTSBackend.generate (mlx_audio generate, all branches) - MLXSTTBackend.transcribe (mlx_audio whisper generate) - QwenCustomVoiceBackend._load_model_sync + generate Does not address the secondary `check_model_inputs() missing 'func'` error reported in the same issue — that's a `transformers` 5.x version-skew bug on the install path, separate concern. Fixes #462. Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>