[Wallbreazzz]

Scope

Adds scripts/generate.py: load a local Qwen3-TTS Base model, optionally load a trained LoRA adapter, and generate one WAV from reference audio and text. Auto language conditioning matches the training prefix. Includes CLI/waveform contracts and an opt-in real-model inference test. Removes paired-generation automation, HTML listening pages, manual-score summaries, fixed evaluation prompts and their workflow tests.

Part 5/5 of the Qwen3-TTS cookbook proposal (RFC #279), open together for maintainers to assess alongside Swift/TTS integration.

Dependencies

This PR targets upstream main; later layers have cumulative diffs including prerequisites. Review this layer using the exact incremental comparison.

Exact head: 2f2294641f79be1791f2d282da6d96fbc951fe72. Integrate prerequisites first, then update remaining PR diffs, or choose a consolidated integration. These overlapping PRs should not be merged independently in arbitrary order.

1. Add Qwen3-TTS data and forward/loss contracts (1/5) #350 — data and forward/loss contracts
2. Add Qwen3-TTS Twinkle LoRA integration (2/5) #356 — Twinkle LoRA integration
3. Add Qwen3-TTS gradient accumulation and checkpoint recovery (3/5) #357 — accumulation and recovery
4. Add Qwen3-TTS manifest preparation and training CLI (4/5) #358 — manifest preparation and training CLI
5. Add Qwen3-TTS minimal adapter inference (5/5) #359 — minimal adapter inference

Validation

• Current cumulative snapshot: 42 local CPU tests, 40 passed, 2 official-package checks skipped in isolated mode.
• Before this scope cleanup, the corrected forward was exercised through real multi-step training, recovery, adapter reload and generation on one Ascend NPU. The prior integrated commit 791b488f62ae9b5a246e9ab85ce23e61f56a6c02 passed targeted native contracts and generated sample-identical audio to the reviewed reference pair.
• The cleaned integrated commit 2f2294641f79be1791f2d282da6d96fbc951fe72 subsequently passed 2 causal contracts and 4 inference CLI/waveform contracts with installed Twinkle on the remote NPU host. Its minimal entrypoint generated base and existing-adapter audio on one Ascend NPU; both waveforms were independently verified sample-identical to the previously reviewed pair. This is targeted integrated verification, not a rerun of the full training/resume suite or native validation of every intermediate commit.
• Scope: local single-NPU bf16 LoRA, Qwen3-TTS 12Hz Base. Multi-card, CUDA, client/server execution and other TTS families are not covered. No private dataset, customer audio, weights, listening UI or project acceptance workflow is included.