Faster Qwen3-TTS Studio Derived from Faster Qwen3-TTS by Andres Marafioti. Copyright (c) 2026 Andres Marafioti. Original wrapper code is MIT licensed. Modifications and distribution work are maintained by Hangry Labs. This distribution also contains original and adapted Apache-2.0 code from: Qwen3-TTS, Copyright 2026 The Alibaba Qwen team; and, where indicated upstream, The Qwen team, Alibaba Group and the HuggingFace Inc. team. https://github.com/QwenLM/Qwen3-TTS Transformers 5 compatibility changes by Andres Marafioti, incorporated from https://github.com/andimarafioti/Qwen3-TTS/tree/distribution/qwen-tts-hf including QwenLM/Qwen3-TTS pull request #360. The Qwen model and 12 Hz inference code are maintained locally; Hangry Labs omits the upstream demo and 25 Hz codec and adapts tokenizer exports/loading. Exact incorporated revisions are recorded in the packaged upstreams.toml and docs/UPSTREAMS.md. The separately published qwen-tts-hf wheel is not bundled. Qwen3-TTS-streaming, derived from Qwen3-TTS and maintained by dffdeeq and contributors. https://github.com/dffdeeq/Qwen3-TTS-streaming The local talker input construction and streaming adaptation differ from upstream to support static caches, CUDA Graphs, chunked audio, and wrapper integration. Later Hangry Labs changes are recorded in source history. The source distribution therefore has MIT and Apache-2.0 obligations. The MIT text in LICENSE does not relicense Apache-2.0 portions, model assets, dependencies, or native libraries. Retain this notice and the applicable license texts. See THIRD_PARTY_NOTICES.md for the consolidated notices and texts. The project acknowledges nano-qwen3tts-vllm by Thanh Sang for CUDA Graph inspiration. That project is MIT licensed; inspiration is not a claim that the project is a required runtime dependency. No endorsement by upstream authors, model providers, or NVIDIA is implied. The Hangry Labs Studio shell, example gallery, media components, styles, GPU monitor, Magic take bundle, dialogue script storage and adapted API contracts are adapted from Hangry Labs VoxCPMTTS (Apache-2.0): https://github.com/hangry-labs/VoxCPMTTS Qwen-specific workflow, runtime, and API changes are maintained in this project. Sentence planning, dialogue boundary compaction and mastering filters also adapt VoxCPMTTS implementations for Qwen's codec budgets and native sample rate. Browser library notices accompany their vendored assets and are summarized in THIRD_PARTY_NOTICES.md. The manual benchmark measurements, transcript normalization, dialogue corpus, queue comparison methodology and report structure are also adapted from Hangry Labs VoxCPMTTS (Apache-2.0). Qwen checkpoint routing, isolated workers, native comparison adapter and related benchmark changes are maintained here. MCP transport, temporary audio artifacts, bounded reference fetching and release transition tooling also adapt Hangry Labs VoxCPMTTS patterns (Apache-2.0). The runtime uses the MCP Python SDK (MIT), Copyright 2024 Anthropic, PBC. Its original license remains installed and is included in runtime inventories. The runtime uses SSML-H Tools, Copyright 2026 Hangry Labs, Apache-2.0. It implements parts of https://github.com/hangry-labs/ssml-h-spec. SSML-H is based on W3C SSML 1.1 but is not a W3C Recommendation and is not endorsed by W3C. The package's original NOTICE and license remain installed.