mtmd: support Qwen3-TTS (note: breaking change to llama-tts binary) (#26254)
* convert text model * main model load ok * convert encoder ok * speaker encoder loading ok * speaker enc graph * adapt vocab for backbone (with some tricks) * add suppress_tokens * poc new mtmd gen api * convert code_predictor to gguf * load gen_code model ok * add clip_encode * wire up * code gen cgraph init version Co-authored-by: Pascal <admin@serveurperso.com> * code2wav convert to gguf * code2wav graph ok * wire up in/out * (wip) subgraph * wire up * wip, correct code2wav * demo (to be removed) * code2wav preserve kv between calls * demo voice clone * llama: add llama_model_get_tok_embd * mtmd_helper_gen_audio API * fix clamp cold prefix Co-authored-by: Pascal <admin@serveurperso.com> * fuse snake op Co-authored-by: Pascal <admin@serveurperso.com> * demo: use proper sampling * update dev docs * polymorphism helper * revamp llama-tts binary * update docs * fix compile * fix lint * nits * add guide + docs * more timings info * clean up code comments * security fixes * update docs * use ggml_build_forward_select, clean up comments * fix ci * use ISO 639-1 language code * rename CODE2WAV --> GEN_WAV, update docs * clean up * clean up tts.cpp * add seq_id * add step_prompt() * mtmd_helper_model_can_chat * clean up comments --------- Co-authored-by: Pascal <admin@serveurperso.com>
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Pascal
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-9
@@ -392,14 +392,6 @@ struct common_params_speculative {
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}
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};
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struct common_params_vocoder {
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struct common_params_model model;
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std::string speaker_file; // speaker file path
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bool use_guide_tokens = false; // enable guide tokens to improve TTS accuracy
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};
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struct common_params_diffusion {
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int32_t steps = 128;
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bool visual_mode = false;
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@@ -497,7 +489,6 @@ struct common_params {
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struct common_params_sampling sampling;
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struct common_params_speculative speculative;
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struct common_params_vocoder vocoder;
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struct common_params_diffusion diffusion;
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struct common_params_model model;
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@@ -740,6 +731,10 @@ struct common_params {
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void * load_progress_callback_user_data = NULL;
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bool no_alloc = false; // Don't allocate model buffers
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// TTS params
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std::string tts_lang = "";
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std::string tts_speaker_file = "";
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bool is_gen_docs = false; // whether we are running inside llama-gen-docs
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};
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