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1 change: 1 addition & 0 deletions examples/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,7 @@ else()
add_subdirectory(run)
add_subdirectory(simple)
add_subdirectory(simple-chat)
add_subdirectory(simple-tts)
add_subdirectory(speculative)
add_subdirectory(speculative-simple)
add_subdirectory(tokenize)
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5 changes: 5 additions & 0 deletions examples/simple-tts/CMakeLists.txt
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set(TARGET llama-simple-tts)
add_executable(${TARGET} simple-tts.cpp)
install(TARGETS ${TARGET} RUNTIME)
target_link_libraries(${TARGET} PRIVATE llama common ${CMAKE_THREAD_LIBS_INIT})
target_compile_features(${TARGET} PRIVATE cxx_std_17)
13 changes: 13 additions & 0 deletions examples/simple-tts/README.md
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# llama.cpp/example/simple-tts

The purpose of this example is to demonstrate a minimal usage of llama.cpp to generate speech from text using the outetts series of models.

## Usage

To use this example you will need the Text to Codes model [`OuteTTS-0.2-500M-q8_0.gguf`](https://huggingface.co/OuteAI/OuteTTS-0.2-500M-GGUF/blob/main/OuteTTS-0.2-500M-Q8_0.gguf), the Wav Tokenizer model [`WavTokenizer-Large-75-F16.gguf`](https://huggingface.co/ggml-org/WavTokenizer/blob/main/WavTokenizer-Large-75-F16.gguf), and a [outetts voice file](https://github.com/edwko/OuteTTS/tree/main/outetts/version/v1/default_speakers).

Once you have the files you can run the following command to generate speech from text:

```bash
./llama-simple-tts -m ./OuteTTS-0.2-500M-q8_0.gguf -mv ./WavTokenizer-Large-75-F16.gguf -v ./en_male_1.json -p "Hello, world!"
```
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