{
  "schema_version": 1,
  "family": "irodori_tts",
  "display_name": "Irodori-TTS",
  "description": "Japanese TTS model based on RF-DiT continuous audio latents, supporting zero-shot voice cloning, automatic duration prediction, multimodal voice design, and emoji-style control.",
  "category": "tts",
  "status": "supported",
  "tasks": [
    "tts",
    "clone",
    "design"
  ],
  "modes": [
    "offline"
  ],
  "languages": [
    "ja"
  ],
  "capabilities": {
    "clone": [
      "speaker_reference"
    ],
    "design": [
      "voice_design"
    ]
  },
  "options": {
    "request": [
      {
        "name": "language",
        "type": "string",
        "description": "Text language code; Irodori-TTS supports Japanese only.",
        "required": false,
        "default": "ja"
      },
      {
        "name": "caption",
        "type": "string",
        "description": "VoiceDesign caption describing target voice identity, style, or emotion; supported only by caption-conditioned checkpoints.",
        "required": false
      },
      {
        "name": "no_ref",
        "type": "bool",
        "description": "Use no-reference generation; default true unless a speaker reference is provided.",
        "required": false,
        "default": true
      },
      {
        "name": "num_inference_steps",
        "type": "int",
        "description": "RF diffusion steps; default 40.",
        "required": false,
        "min": 1,
        "default": 40
      },
      {
        "name": "duration_sec",
        "type": "float",
        "description": "Explicit output duration in seconds; must be positive when set, otherwise predicted duration is used.",
        "required": false,
        "min": 0.0
      },
      {
        "name": "duration_scale",
        "type": "float",
        "description": "Predicted-duration multiplier; must be positive when set; default 1.0.",
        "required": false,
        "min": 0.0,
        "default": 1.0
      },
      {
        "name": "text_chunk_mode",
        "type": "enum",
        "description": "Text chunking mode; default endline.",
        "values": [
          "japanese",
          "endline"
        ],
        "required": false,
        "default": "endline"
      },
      {
        "name": "text_chunk_size",
        "type": "int",
        "description": "Maximum characters per text chunk; default uses the model text-token window.",
        "required": false,
        "min": 1
      },
      {
        "name": "min_duration_sec",
        "type": "float",
        "description": "Minimum generated duration in seconds; must be positive and no greater than max_duration_sec; default 0.5.",
        "required": false,
        "min": 0.0,
        "default": 0.5
      },
      {
        "name": "max_duration_sec",
        "type": "float",
        "description": "Maximum generated duration in seconds; must be at least min_duration_sec; default 30.",
        "required": false,
        "min": 0.0,
        "default": 30.0
      },
      {
        "name": "text_guidance_scale",
        "type": "float",
        "description": "Text classifier-free guidance scale; default 3.0.",
        "required": false,
        "min": 0.0,
        "default": 3.0
      },
      {
        "name": "speaker_guidance_scale",
        "type": "float",
        "description": "Speaker classifier-free guidance scale; default 5.0.",
        "required": false,
        "min": 0.0,
        "default": 5.0
      },
      {
        "name": "caption_guidance_scale",
        "type": "float",
        "description": "Caption classifier-free guidance scale; default 3.0.",
        "required": false,
        "min": 0.0,
        "default": 3.0
      },
      {
        "name": "guidance_scale",
        "type": "float",
        "description": "Override all classifier-free guidance scales when set.",
        "required": false,
        "min": 0.0
      },
      {
        "name": "guidance_mode",
        "type": "enum",
        "description": "Classifier-free guidance combination mode; default independent.",
        "values": [
          "independent",
          "joint",
          "alternating"
        ],
        "required": false,
        "default": "independent"
      },
      {
        "name": "guidance_min_t",
        "type": "float",
        "description": "Minimum diffusion timestep value where guidance is active; default 0.5.",
        "required": false,
        "min": 0.0,
        "default": 0.5
      },
      {
        "name": "guidance_max_t",
        "type": "float",
        "description": "Maximum diffusion timestep value where guidance is active; default 1.0.",
        "required": false,
        "min": 0.0,
        "default": 1.0
      },
      {
        "name": "seed",
        "type": "int",
        "description": "Generation seed for reproducible output; omitted uses a random seed.",
        "required": false,
        "min": 0
      },
      {
        "name": "trim_tail",
        "type": "bool",
        "description": "Trim trailing silence-like samples; default true.",
        "required": false,
        "default": true
      }
    ],
    "session": [
      {
        "name": "weight_type",
        "type": "enum",
        "description": "Model weight storage type; default native.",
        "preset": "weight_type_full",
        "required": false,
        "default": "native"
      },
      {
        "name": "codec_weight_type",
        "type": "enum",
        "description": "DACVAE codec weight storage type; default native.",
        "preset": "weight_type_codec_q8",
        "required": false,
        "default": "native"
      },
      {
        "name": "condition_graph_arena_mb",
        "type": "int",
        "description": "Condition encoder graph arena size in MiB; default 256.",
        "required": false,
        "min": 0,
        "default": 256
      },
      {
        "name": "rf_graph_arena_mb",
        "type": "int",
        "description": "RF sampler graph arena size in MiB; default 768.",
        "required": false,
        "min": 0,
        "default": 768
      },
      {
        "name": "codec_graph_arena_mb",
        "type": "int",
        "description": "DACVAE codec graph arena size in MiB; default 512.",
        "required": false,
        "min": 0,
        "default": 512
      },
      {
        "name": "condition_weight_context_mb",
        "type": "int",
        "description": "Condition encoder weight context size in MiB; default 32.",
        "required": false,
        "min": 0,
        "default": 32
      },
      {
        "name": "rf_weight_context_mb",
        "type": "int",
        "description": "RF sampler weight context size in MiB; default 32.",
        "required": false,
        "min": 0,
        "default": 32
      },
      {
        "name": "codec_weight_context_mb",
        "type": "int",
        "description": "DACVAE codec weight context size in MiB; default 32.",
        "required": false,
        "min": 0,
        "default": 32
      },
      {
        "name": "mem_saver",
        "type": "bool",
        "description": "Release staged runtime graphs after request phases; default true.",
        "required": false,
        "default": true
      },
      {
        "name": "reference_cache_slots",
        "type": "int",
        "description": "Prepared reference-speaker cache slots; default 1.",
        "required": false,
        "min": 0,
        "default": 1
      }
    ],
    "load": []
  },
  "dependencies": [],
  "runtime": {
    "tags": [
      "gguf"
    ]
  },
  "ui": {
    "recommended_package": "irodori_tts_v4_small_q8_0",
    "tags": [
      "TTS",
      "Clone",
      "Design",
      "GGUF"
    ],
    "docs": [
      "docs/tts.md",
      "docs/gguf.md"
    ]
  },
  "package_defaults": {
    "download": {
      "kind": "huggingface_snapshot",
      "repo": "audio-cpp/audio.cpp-gguf",
      "revision": "main",
      "gated": false
    }
  },
  "packages": [
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      "display_name": "Irodori-TTS v4 Small Q8_0 GGUF",
      "default": true,
      "format": "gguf",
      "precision": "q8_0",
      "target_directory": "Irodori-TTS-v4-Small-GGUF",
      "files": [
        "Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-q8_0.gguf"
      ],
      "strip_prefix": "Irodori-TTS-v4-Small-GGUF"
    },
    {
      "id": "irodori_tts_v4_small_f16",
      "display_name": "Irodori-TTS v4 Small F16 GGUF",
      "format": "gguf",
      "precision": "f16",
      "target_directory": "Irodori-TTS-v4-Small-GGUF",
      "files": [
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      ],
      "strip_prefix": "Irodori-TTS-v4-Small-GGUF"
    },
    {
      "id": "irodori_tts_600m_v3_voicedesign_q8_0",
      "display_name": "Irodori-TTS 600M v3 VoiceDesign Q8_0 GGUF",
      "format": "gguf",
      "precision": "q8_0",
      "target_directory": "Irodori-TTS-600M-v3-VoiceDesign-GGUF",
      "files": [
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      "strip_prefix": "Irodori-TTS-600M-v3-VoiceDesign-GGUF"
    },
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      "id": "irodori_tts_600m_v3_voicedesign_f16",
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      "precision": "f16",
      "target_directory": "Irodori-TTS-600M-v3-VoiceDesign-GGUF",
      "files": [
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      ],
      "strip_prefix": "Irodori-TTS-600M-v3-VoiceDesign-GGUF"
    },
    {
      "id": "irodori_tts_500m_v3_q8_0",
      "display_name": "Irodori-TTS 500M v3 Q8_0 GGUF",
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      "precision": "q8_0",
      "target_directory": "Irodori-TTS-500M-v3-GGUF",
      "files": [
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      "target_directory": "Irodori-TTS-500M-v3-GGUF",
      "files": [
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      "strip_prefix": "Irodori-TTS-500M-v3-GGUF"
    }
  ],
  "sources": [
    {
      "format": "gguf",
      "roots": {
        "model": ".",
        "weights": "$gguf"
      },
      "files": {
        "model_config": "model:model_config.json"
      },
      "optional_files": {
        "tokenizer_json": "model:tokenizer.json",
        "tokenizer_v4_json": "model:tokenizer/tokenizer.json",
        "pretrained_text_config": "model:text_encoder_config.json"
      },
      "tensors": {
        "model_weights": {
          "source": "weights:",
          "prefix": "model_weights"
        },
        "codec_weights": {
          "source": "weights:",
          "prefix": "codec_weights"
        }
      }
    },
    {
      "format": "safetensors",
      "roots": {
        "model": ".",
        "tokenizer": "../llm-jp-3-150m",
        "codec": "../Semantic-DACVAE-Japanese-32dim"
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      "tensors": {
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}