{
  "schema_version": 1,
  "family": "dots_tts",
  "display_name": "DotTTS",
  "description": "DotTTS is a multilingual zero-shot TTS, voice-cloning, and speech-editing model family packaged for audio.cpp with SOAR and MeanFlow generation, prompt-audio plus prompt-text prefill, speaker-reference conditioning, language tags, multiple synthesis templates, long-form text chunking, and true streaming audio output.",
  "category": "tts",
  "status": "supported",
  "tasks": [
    "tts",
    "clone"
  ],
  "modes": [
    "offline",
    "streaming"
  ],
  "languages": [
    "multilingual"
  ],
  "runtime": {
    "tags": [
      "gguf",
      "stream"
    ]
  },
  "capabilities": {
    "tts": [
      "speaker_reference",
      "style_control",
      "long_form"
    ],
    "clone": [
      "speaker_reference",
      "style_control",
      "long_form"
    ]
  },
  "options": {
    "request": [
      {
        "name": "reference_text",
        "type": "string",
        "description": "Transcript for the prompt audio. When set with reference audio, DotTTS uses prompt prefill for higher quality voice cloning.",
        "required": false
      },
      {
        "name": "reference_duration_sec",
        "type": "float",
        "description": "Optional prompt-audio trim duration before reference conditioning and prompt prefill.",
        "required": false,
        "min": 0.0
      },
      {
        "name": "template_name",
        "type": "enum",
        "description": "DotTTS synthesis template. tts is normal text-to-speech; instruction_tts adds instruction conditioning; text_to_audio uses a sound-description template; tts_interleave uses the streaming interleave schedule; edit uses the DotTTS Edit source-audio editing schedule and is offline-only.",
        "values": [
          "tts",
          "instruction_tts",
          "text_to_audio",
          "tts_interleave",
          "edit"
        ],
        "required": false,
        "default": "tts"
      },
      {
        "name": "source_audio",
        "type": "audio_path",
        "description": "Source WAV path for DotTTS Edit. Required when template_name=edit unless audio_input is supplied by the caller.",
        "required": false
      },
      {
        "name": "instruct",
        "type": "string",
        "description": "Structured DotTTS Edit instruction. If omitted with template_name=edit, the request text is used as the instruction.",
        "required": false
      },
      {
        "name": "source_text",
        "type": "string",
        "description": "Optional source transcript override for DotTTS Edit. If omitted, it is rendered from instruction tags.",
        "required": false
      },
      {
        "name": "target_text",
        "type": "string",
        "description": "Edit target transcript override. When omitted, explicit instruction plus text input uses that text; otherwise the target is rendered from instruction tags.",
        "required": false
      },
      {
        "name": "use_xvector",
        "type": "enum",
        "description": "DotTTS Edit speaker conditioning mode. auto follows the upstream tag-based behavior; on/off force or disable source-audio speaker conditioning.",
        "values": [
          "auto",
          "on",
          "off"
        ],
        "required": false,
        "default": "auto"
      },
      {
        "name": "language",
        "type": "string",
        "description": "Optional target language tag. none disables language tagging; otherwise pass a language code such as en or zh.",
        "required": false,
        "default": "none"
      },
      {
        "name": "num_inference_steps",
        "type": "int",
        "description": "SOAR flow-matching inference step count; default 10.",
        "required": false,
        "min": 1,
        "default": 10
      },
      {
        "name": "guidance_scale",
        "type": "float",
        "description": "Classifier-free guidance scale used by SOAR flow matching. Default 1.2.",
        "required": false,
        "min": 0.0,
        "default": 1.2
      },
      {
        "name": "speaker_scale",
        "type": "float",
        "description": "Multiplier applied to the prompt speaker embedding; default 1.5.",
        "required": false,
        "min": 0.0,
        "default": 1.5
      },
      {
        "name": "sampler_mode",
        "type": "enum",
        "description": "SOAR ODE solver method for flow matching. Fixed-step euler is the default and parity baseline.",
        "values": [
          "euler",
          "midpoint",
          "rk4"
        ],
        "required": false,
        "default": "euler"
      },
      {
        "name": "max_tokens",
        "type": "int",
        "description": "Maximum generated audio patch count per generated segment; default 500. In Edit mode source patches consume this budget; it must exceed the source-patch count.",
        "required": false,
        "min": 1,
        "default": 500
      },
      {
        "name": "text_chunk_size",
        "type": "int",
        "description": "Maximum text codepoints per generated segment for long-form requests; default 320.",
        "required": false,
        "min": 1,
        "default": 320
      },
      {
        "name": "text_chunk_mode",
        "type": "enum",
        "description": "Framework text chunking mode; default tag_aware preserves leading style/control tags across long-form chunks.",
        "values": [
          "default",
          "tag_aware",
          "japanese",
          "endline"
        ],
        "required": false,
        "default": "tag_aware"
      },
      {
        "name": "vocoder_merge_steps",
        "type": "int",
        "description": "Streaming vocoder latent patch merge size after the initial unmerged patches; default 4, matching the Python optimized streaming runtime default.",
        "required": false,
        "min": 1,
        "default": 4
      },
      {
        "name": "seed",
        "type": "int",
        "description": "Seed for prompt latent sampling and flow noise initialization; default 42.",
        "required": false,
        "min": 0,
        "default": 42
      }
    ],
    "session": [
      {
        "name": "weight_type",
        "type": "enum",
        "description": "Shared matmul weight storage type for DotTTS components; default native. Component-specific weight options override this value.",
        "preset": "weight_type_full",
        "required": false,
        "default": "native"
      },
      {
        "name": "speaker_encoder_weight_type",
        "type": "enum",
        "description": "Speaker encoder matmul weight storage type; defaults to weight_type.",
        "preset": "weight_type_full",
        "required": false
      },
      {
        "name": "codec_weight_type",
        "type": "enum",
        "description": "AudioVAE vocoder matmul and recurrent weight storage type; defaults to weight_type.",
        "preset": "weight_type_full",
        "required": false
      },
      {
        "name": "patch_encoder_weight_type",
        "type": "enum",
        "description": "Patch encoder transformer matmul weight storage type; defaults to weight_type.",
        "preset": "weight_type_full",
        "required": false
      },
      {
        "name": "llm_weight_type",
        "type": "enum",
        "description": "Autoregressive language model matmul weight storage type; defaults to weight_type.",
        "preset": "weight_type_full",
        "required": false
      },
      {
        "name": "flow_weight_type",
        "type": "enum",
        "description": "SOAR or MeanFlow DiT flow-matching matmul weight storage type; defaults to weight_type.",
        "preset": "weight_type_full",
        "required": false
      },
      {
        "name": "codec_conv_weight_type",
        "type": "enum",
        "description": "Convolution weight storage type; default native.",
        "preset": "weight_type_conv",
        "required": false,
        "default": "native"
      },
      {
        "name": "reference_cache_slots",
        "type": "int",
        "description": "Prepared reference-audio cache slots; set 0 to disable reuse.",
        "required": false,
        "min": 0,
        "default": 4
      },
      {
        "name": "mem_saver",
        "type": "bool",
        "description": "Load DotTTS components by request phase and release their weights/graphs after last use while keeping reference cache slots alive.",
        "required": false,
        "default": false
      }
    ],
    "load": []
  },
  "package_defaults": {
    "download": {
      "kind": "huggingface_snapshot",
      "repo": "audio-cpp/audio.cpp-gguf",
      "revision": "main",
      "gated": false
    }
  },
  "packages": [
    {
      "id": "dots_tts_soar_q8_0",
      "display_name": "DotTTS SOAR Q8_0 GGUF",
      "default": true,
      "format": "gguf",
      "precision": "q8_0",
      "target_directory": "DotTTS-SOAR-GGUF",
      "files": [
        "DotTTS-SOAR-GGUF/dots-tts-soar-q8_0.gguf"
      ],
      "strip_prefix": "DotTTS-SOAR-GGUF"
    },
    {
      "id": "dots_tts_soar_bf16",
      "display_name": "DotTTS SOAR BF16 GGUF",
      "default": false,
      "format": "gguf",
      "precision": "bf16",
      "target_directory": "DotTTS-SOAR-GGUF",
      "files": [
        "DotTTS-SOAR-GGUF/dots-tts-soar-bf16.gguf"
      ],
      "strip_prefix": "DotTTS-SOAR-GGUF"
    },
    {
      "id": "dots_tts_mf_q8_0",
      "display_name": "DotTTS MeanFlow Q8_0 GGUF",
      "default": false,
      "format": "gguf",
      "precision": "q8_0",
      "target_directory": "DotTTS-MF-GGUF",
      "files": [
        "DotTTS-MF-GGUF/dots-tts-mf-q8_0.gguf"
      ],
      "strip_prefix": "DotTTS-MF-GGUF"
    },
    {
      "id": "dots_tts_mf_bf16",
      "display_name": "DotTTS MeanFlow BF16 GGUF",
      "default": false,
      "format": "gguf",
      "precision": "bf16",
      "target_directory": "DotTTS-MF-GGUF",
      "files": [
        "DotTTS-MF-GGUF/dots-tts-mf-bf16.gguf"
      ],
      "strip_prefix": "DotTTS-MF-GGUF"
    },
    {
      "id": "dots_tts_edit_q8_0",
      "display_name": "DotTTS Edit Q8_0 GGUF",
      "default": false,
      "format": "gguf",
      "precision": "q8_0",
      "target_directory": "DotTTS-Edit-GGUF",
      "files": [
        "DotTTS-Edit-GGUF/dots-tts-edit-q8_0.gguf"
      ],
      "strip_prefix": "DotTTS-Edit-GGUF"
    },
    {
      "id": "dots_tts_edit_bf16",
      "display_name": "DotTTS Edit BF16 GGUF",
      "default": false,
      "format": "gguf",
      "precision": "bf16",
      "target_directory": "DotTTS-Edit-GGUF",
      "files": [
        "DotTTS-Edit-GGUF/dots-tts-edit-bf16.gguf"
      ],
      "strip_prefix": "DotTTS-Edit-GGUF"
    }
  ],
  "dependencies": [],
  "ui": {
    "recommended_package": "dots_tts_soar_q8_0",
    "tags": [
      "TTS",
      "Clone",
      "Stream",
      "GGUF"
    ],
    "docs": [
      "docs/tts.md",
      "docs/gguf.md"
    ]
  },
  "sources": [
    {
      "format": "gguf",
      "roots": {
        "model": ".",
        "weights": "$gguf"
      },
      "files": {
        "config": "model:config.json",
        "llm_config": "model:llm_config.json",
        "tokenizer_json": "model:tokenizer.json",
        "tokenizer_config": "model:tokenizer_config.json",
        "vocab": "model:vocab.json",
        "merges": "model:merges.txt",
        "added_tokens": "model:added_tokens.json",
        "special_tokens_map": "model:special_tokens_map.json"
      },
      "tensors": {
        "core_weights": {
          "source": "weights:",
          "prefix": "core"
        },
        "vocoder_weights": {
          "source": "weights:",
          "prefix": "vocoder"
        },
        "speaker_encoder_weights": {
          "source": "weights:",
          "prefix": "speaker_encoder"
        },
        "latent_stats": {
          "source": "weights:",
          "prefix": "latent_stats"
        }
      }
    },
    {
      "format": "safetensors",
      "roots": {
        "model": "."
      },
      "files": {
        "config": "model:config.json",
        "llm_config": "model:llm_config.json",
        "tokenizer_json": "model:tokenizer.json",
        "tokenizer_config": "model:tokenizer_config.json",
        "vocab": "model:vocab.json",
        "merges": "model:merges.txt",
        "added_tokens": "model:added_tokens.json",
        "special_tokens_map": "model:special_tokens_map.json"
      },
      "tensors": {
        "core_weights": {
          "source": "model:model.safetensors"
        },
        "vocoder_weights": {
          "source": "model:vocoder.safetensors"
        },
        "speaker_encoder_weights": {
          "source": "model:speaker_encoder.safetensors"
        },
        "latent_stats": {
          "source": "model:latent_stats.safetensors"
        }
      }
    }
  ]
}