kyutai-labs/pocket-tts
A TTS that fits in your CPU (and pocket)
What is kyutai-labs/pocket-tts?
kyutai-labs/pocket-tts is a repository whose own project materials describe it as A TTS that fits in your CPU and pocket A lightweight text-to-speech TTS application designed to run efficiently on CPUs. Forget about the hassle of using GPUs and web APIs serving TTS models. With Kyutai's Pocket TTS. This Graphify demo keeps kyutai-labs/pocket-tts as the primary keyword while adding source-derived context, README signals, and an interactive code graph for deeper exploration.
Source: README.md at 9514983efd64
Graphify architecture insights for kyutai-labs/pocket-tts
kyutai-labs/pocket-tts has a compact Graphify map with 449 nodes, 767 edges, and 27 communities. The graph turns kyutai-labs/pocket-tts into an architecture map: dense communities point to related implementation areas, while high-degree nodes from the Graphify report are good starting points for code review, onboarding, and dependency exploration.
README-derived project notes
- kyutai-labs/pocket-tts is described by its project source as: A TTS that fits in your CPU and pocket A lightweight text-to-speech TTS application designed to run efficiently on CPUs. Forget about the hassle of using GPUs and web APIs serving TTS models. With Kyutai's Pocket TTS
- The project README exposes reader-facing sections such as Main takeaways, Trying it from the website, without installing anything, Trying it with the CLI, and The generate command, which helps explain how kyutai-labs/pocket-tts is positioned and used
- kyutai-labs/pocket-tts was captured from the repository at commit 9514983efd64 and analyzed in code-only mode, so this page connects project documentation with the generated code graph
- kyutai-labs/pocket-tts is primarily a Python project, which makes the graph useful for understanding important files, modules, and dependency relationships before opening the source tree
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Graphify report highlights
Summary
- 449 nodes · 767 edges · 27 communities (20 shown, 7 thin omitted)
- Extraction: 83% EXTRACTED · 17% INFERRED · 0% AMBIGUOUS · INFERRED: 130 edges (avg confidence: 0.66)
- Token cost: 0 input · 0 output
God nodes
- TTSModel - 32 edges
- StreamingConv1d - 22 edges
- StreamingConvTranspose1d - 17 edges
- MimiModel - 16 edges
- split_into_best_sentences() - 16 edges
- FlowLMModel - 14 edges
Surprising connections
- test_public_api_expected_methods_and_properties() --indirect_call--> TTSModel [INFERRED]
- TTSModel --uses--> TokenizedText [INFERRED]
- tokenizer() --calls--> get_default_tokenizer() [INFERRED]
- FlowLMModel --uses--> LUTConditioner [INFERRED]
FAQ about kyutai-labs/pocket-tts
What is kyutai-labs/pocket-tts?
kyutai-labs/pocket-tts is described by its repository as A TTS that fits in your CPU and pocket A lightweight text-to-speech TTS application designed to run efficiently on CPUs. Forget about the hassle of using GPUs and web APIs serving TTS models. With Kyutai's Pocket TTS. This page adds a Graphify code graph so readers can inspect how the project is structured.
What does the kyutai-labs/pocket-tts Graphify graph show?
kyutai-labs/pocket-tts has a compact Graphify map with 449 nodes, 767 edges, and 27 communities. It highlights communities, important nodes, and relationships extracted from the captured source commit.
Why use Graphify to explore kyutai-labs/pocket-tts?
Graphify gives kyutai-labs/pocket-tts a visual architecture layer, making it easier to find central files, understand module boundaries, and decide where to start reading the code.
Where did the kyutai-labs/pocket-tts page content come from?
The project notes are derived from README.md at 9514983efd64, repository metadata, and the Graphify report generated for the captured commit.