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LICENSE

@@ -0,0 +1,57 @@
+bilibili Model Use License Agreement
+
+By clicking “I agree” to this bilibili Model Use License Agreement (“this Agreement”) , or by otherwise using any portion or element of the Model or any Derivative Work, you will be deemed to have recognized and accepted the content of this Agreement, which is effective immediately. If you do not agree to this Agreement, you must immediately cease all use and permanently delete the Model and any Derivative Works.
+
+1. Definitions
+1.1 “This Agreement”: means the bilibili Model Use License Agreement, including all of its terms and conditions.
+1.2 “We”, “us”, or “our”: means bilibili , the original right-holder of the Model.
+1.3 “You”: means any natural person or legal entity exercising rights granted by this Agreement and/or using the Model for any purpose and in any field of use.
+1.4 “Model”: means the artificial-intelligence model named “bilibili indextts2”, including but not limited to model weights and final code, in each case only to the extent that such components are published by us at https://github.com/index-tts/index-tts.
+1.5 “Derivative Work”: means any derivative of the Model, including without limitation:
+ (i) any modification of the Model, model outputs, or their derivatives;
+ (ii) any work based on the Model, model outputs, or their derivatives; 
+ (iii) any other machine learning model which is created by re-training, fine-tuning, quantizing, LoRA, parameter-efficient fine-tuning, or any other method involving incremental weights or merged checkpoints, in each case based on the Model, model outputs, or their derivatives.
+1.6 “Use”: means downloading, copying, training, modifying, creating Derivative Works, distributing, publishing, running, fine-tuning, publicly displaying, communicating to the public, or otherwise exploiting the Model or any Derivative Work.
+
+2. Scope of License and Restrictions
+2.1 Subject to the terms and conditions of this Agreement, we grant you a worldwide, non-exclusive, non-transferable, royalty-free limited license to Use the Model or any Derivative Work based on the intellectual properties or other rights owned by Us embodied in the Model or any Derivative Work.
+2.2 If You intend to Use, or have already Used, the Model or any Derivative Work, and either (i) your or any of your Affiliates’ products or services had more than 100 million monthly active users in the immediately preceding calendar month, or (ii) your or any of your Affiliates’ annual revenue in the immediately preceding calendar year exceeded RMB 1 billion, You must request a separated license from us, which We may grant to You in our sole discretion. You are not authorized to exercise any of the rights under this Agreement unless and until We have expressly granted You such rights in writing.
+2.3 This Agreement is an open-source license for the Model in which we possess intellectual properties and other rights. It governs your Use of the Model only and does not limit any rights that we have regarding the Model.
+
+3. Disclaimer and Risk Allocation
+3.1 The Model and any outputs generated thereby are provided “AS IS,” without warranty of any kind, express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, non-infringement, absence of errors or omissions, continuity, accuracy, reliability, or stability. You are solely responsible for determining the appropriateness of using or redistributing the Model and assume all risks associated with exercising any rights granted under this Agreement.
+3.2 You shall bear sole responsibility for any infringement, illegality, breach of contract, damages, fines, regulatory investigations, or other liabilities (including, without limitation, infringement of third-party patents, copyrights, trademarks, trade secrets, personality rights, data-protection rights, or any other rights) arising out of or related to your Use of the Model or any outputs generated thereby. We assume no joint, several, supplementary, or advance payment liability.
+3.3 Under no circumstances shall we be liable to you or any third party for any direct, indirect, incidental, special, punitive, or consequential damages (including, without limitation, loss of data, business interruption, or loss of profits) arising out of or related to the Use of the Model, even if we have been advised of the possibility of such damages.
+3.4 Additional Obligations for You and Downstream Recipients
+a) You must ensure that any downstream recipient of the Model or any Derivative Work that you distribute complies with this Agreement, and you must impose appropriate contractual terms on such downstream recipients. If any downstream recipient breaches this Agreement, you shall be responsible for the consequences thereof.
+b) You must retain all original copyright notices and a copy of this Agreement in every copy of the Model or any Derivative Work that you Use.
+c) You may not Use the bilibili indextts2 or any Derivative Work to improve any AI model, except for the bilibili indextts2 itself, its Derivative Works，or non-commercial AI models.
+
+4. Compliance Obligations
+4.1 Usage Restrictions
+a) If you distribute a Derivative Work, you must clearly state in the distribution page or accompanying documentation: “Any modifications made to the original model in this Derivative Work are not endorsed, warranted, or guaranteed by the original right-holder of the original model, and the original right-holder disclaims all liability related to this Derivative Work.”
+b) If your Use of the Model or any Derivative Work incorporates any third-party data or weights, you must obtain all necessary authorizations on your own and bear full responsibility for compliance.
+c) You may not Use the Model or any Derivative Work for any purpose that violates the laws or regulatory requirements of the jurisdiction where the outputs and/or the Model are generated or used (including, without limitation, generating false information, discriminatory content, or content that infringes privacy).
+d) If the Model or any Derivative Work is capable of generating content, you must ensure that such content does not violate the laws or regulatory requirements of the applicable jurisdiction (including, without limitation, generating false information, discriminatory content, or content that infringes privacy).
+4.2 Prohibited High-Risk Use
+You must ensure that the Model and any Derivative Work are not deployed, directly or indirectly, in high-risk scenarios such as medical diagnosis, autonomous driving, military applications, critical-infrastructure control, large-scale biometric surveillance, or automated decision-making (e.g., credit or employment evaluations). If you insist on such deployment, you must independently complete all compliance obligations under applicable laws and regulations (including but not limited to GDPR, CCPA, HIPAA, export-control laws, and AI-specific regulations), and we shall bear no liability for any consequences arising therefrom.
+4.3 Infringement Liability
+Should any third party raise claims against you with respect to any Derivative Work you develop or your Use of the Model or any Derivative Work, you shall bear full and independent responsibility for defending against and resolving such claims. If your actions cause us to incur any third-party claims, administrative penalties, or other losses, you shall indemnify us for all losses we thereby suffer, including but not limited to attorney fees, litigation costs, damages, and fines, and shall take all necessary measures to eliminate any adverse impact on us.
+
+5. Reserved Rights
+5.1 We reserve the right to revoke the license granted to you under this Agreement in the event of your breach. Upon revocation, you must immediately cease all Use and permanently delete all copies of the Model and any Derivative Work. Sections 3 and 6 of this Agreement shall survive termination of this Agreement under this circumstance.
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+5.3 If you or any of your Affiliates institutes or participates in any legal proceeding (including any cross-claim or counterclaim in a lawsuit) against us or any of our Affiliates, alleging that the Model or any output or any portion thereof infringes any intellectual property or other rights that you own or control, all licenses granted to you under this Agreement shall terminate automatically as of the date such proceeding is filed.
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+6. Governing Law and Dispute Resolution
+6.1 This Agreement shall be governed by and construed in accordance with the laws of the People’s Republic of China.
+6.2 In the event of any dispute arising out of or in connection with this Agreement, the parties shall first attempt to resolve such dispute through friendly negotiation. If negotiation fails, the dispute shall be submitted to the Shanghai Arbitration Commission for arbitration in accordance with its then-effective arbitration rules. The arbitration award shall be final and binding on both parties. The prevailing party shall be entitled to recover reasonable costs, including notarization and investigation fees, arbitration costs, attorneys’ fees, and travel expenses.
+
+7. Severability
+If any provision of this Agreement is held to be invalid or unenforceable, the remaining provisions shall remain in full force and effect. The invalid or unenforceable provision shall be replaced with a valid and enforceable provision that, to the maximum extent permitted by law, most closely reflects the original intent of the invalid or unenforceable provision.
+
+8. Version Updates
+We may release new versions of the AI Model Use License Agreement. Any new version will apply only to Uses occurring after the date of its release. If you obtained the Model under an earlier version, the new version will not have retroactive effect; nevertheless, you are encouraged to adopt the new version voluntarily.
+
+9. Language Version
+In the event of any discrepancy or conflict between the English-language version set forth above and the Chinese-language version of this bilibili Model Use License Agreement, the Chinese-language version shall prevail for all purposes and shall govern the rights and obligations of the parties.

README.md

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+---
+library_name: mlx
+pipeline_tag: text-to-speech
+base_model: IndexTeam/IndexTTS-2.5
+license: other
+license_name: bilibili-model-use-license-agreement
+license_link: https://huggingface.co/IndexTeam/IndexTTS-2.5/blob/d0aa86e75bb6f3437f3831e95056fa72842d89ef/LICENSE
+language:
+- zh
+- en
+- ja
+- es
+- ar
+tags:
+- indextts2
+- indextts-2.5
+- mlx
+- apple-silicon
+- text-to-speech
+- voice-cloning
+- emotion-control
+- fp32
+---
+
+# mlx-indextts2-2.5-fp32
+
+IndexTTS 2.5 converted to native MLX weights for Apple Silicon. Use it with
+[`vanch007/mlx-indextts2`](https://github.com/vanch007/mlx-indextts2).
+
+## Variant
+
+- Precision / quantization: **fp32**
+- Approximate local size: **4.0GB**
+- Source model: [`IndexTeam/IndexTTS-2.5`](https://huggingface.co/IndexTeam/IndexTTS-2.5)
+- Source revision: `d0aa86e75bb6f3437f3831e95056fa72842d89ef`
+- Conversion status: strict manifest **pass**
+- Details: All GPT, EnhancedCodec, S2Mel/DiT, and BigVGAN floating weights use float32.
+
+The model supports Chinese, English, Japanese, Spanish, and Arabic, including
+cross-lingual voice transfer, separate speaker/emotion references, manual and
+text-derived emotion control, and Pinyin/CMU/Kana pronunciation annotations.
+
+## Download and Run
+
+```bash
+git clone https://github.com/vanch007/mlx-indextts2.git
+cd mlx-indextts2
+uv sync --extra v25
+
+hf download vanch007/mlx-indextts2-2.5-fp32 \
+  --local-dir models/mlx-indextts2-2.5-fp32
+
+uv run mlx-indextts generate \
+  --profile v25 \
+  -m models/mlx-indextts2-2.5-fp32 \
+  --language zh \
+  -r /path/to/reference.wav \
+  -t "你好，这是 IndexTTS 2.5 的 MLX 推理测试。" \
+  -o output.wav
+```
+
+See the [project README](https://github.com/vanch007/mlx-indextts2#quick-start) and
+[IndexTTS 2.5 guide](https://github.com/vanch007/mlx-indextts2/blob/main/docs/indextts-2.5.md) for batch,
+API, WebUI, streaming, duration, pronunciation, and emotion-control examples.
+
+## Included Files
+
+- `gpt.safetensors`
+- `codec.safetensors`
+- `s2mel.safetensors`
+- `bigvgan.safetensors`
+- `multilingual_zh_ja_yue_char_del.tiktoken`
+- `config.yaml` and `config.json`
+- `model_manifest.json` and `conversion_report.json`
+- reference preprocessing statistics/features
+- `LICENSE`
+
+The runtime additionally resolves the manifest-declared
+`facebook/w2v-bert-2.0` and `funasr/campplus` preprocessing dependencies.
+
+## Validation Boundary
+
+The converted component coverage and strict load checks passed. The project
+validation matrix also covers five-language synthesis, ASR sanity checks,
+speaker similarity, emotion modes, cross-lingual generation, batch/API/WebUI,
+and completed-segment streaming. Results are hardware- and sample-specific;
+human listening remains recommended before production use.
+
+## License and Derivative Notice
+
+The repository code is MIT-licensed, but these converted model weights are a
+Derivative Work governed by the included **bilibili Model Use License
+Agreement**. Review its commercial thresholds, downstream obligations, use
+restrictions, and prohibited high-risk scenarios before downloading or using
+the model.
+
+Any modifications made to the original model in this Derivative Work are not
+endorsed, warranted, or guaranteed by the original right-holder of the
+original model, and the original right-holder disclaims all liability related
+to this Derivative Work.

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+size 448842385

codec.safetensors

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config.json

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+{
+  "dataset": {
+    "bpe_model": "multilingual_zh_ja_yue_char_del.tiktoken",
+    "mel": {
+      "hop_length": 256,
+      "mel_fmin": 0,
+      "n_fft": 1024,
+      "n_mels": 100,
+      "normalize": false,
+      "sample_rate": 24000,
+      "win_length": 1024
+    },
+    "sample_rate": 24000,
+    "squeeze": false,
+    "tokenizer_type": "tiktoken"
+  },
+  "emo_matrix": "feat2.pt",
+  "emo_num": [
+    3,
+    17,
+    2,
+    8,
+    4,
+    5,
+    10,
+    24
+  ],
+  "gpt": {
+    "condition_module": {
+      "attention_heads": 8,
+      "input_layer": "conv2d2",
+      "linear_units": 2048,
+      "num_blocks": 6,
+      "output_size": 512,
+      "perceiver_mult": 2
+    },
+    "condition_type": "conformer_perceiver",
+    "emo_condition_module": {
+      "attention_heads": 4,
+      "input_layer": "conv2d2",
+      "linear_units": 1024,
+      "num_blocks": 4,
+      "output_size": 512,
+      "perceiver_mult": 2
+    },
+    "heads": 20,
+    "layers": 24,
+    "max_mel_tokens": 1815,
+    "max_text_tokens": 600,
+    "mel_length_compression": 1024,
+    "model_dim": 1280,
+    "number_mel_codes": 8194,
+    "number_text_tokens": 60509,
+    "start_mel_token": 8192,
+    "start_text_token": 0,
+    "stop_mel_token": 8193,
+    "stop_text_token": 1,
+    "train_solo_embeddings": false,
+    "use_mel_codes_as_input": true
+  },
+  "gpt_checkpoint": "checkpoint_5000.pth",
+  "qwen_emo_path": "qwen0.6bemo4-merge/",
+  "s2mel": {
+    "DiT": {
+      "add_resblock_in_transformer": false,
+      "block_size": 8192,
+      "class_dropout_prob": 0.1,
+      "content_codebook_size": 1024,
+      "content_codebooks": 1,
+      "content_dim": 512,
+      "content_type": "discrete",
+      "depth": 13,
+      "f0_condition": false,
+      "final_layer_type": "wavenet",
+      "hidden_dim": 512,
+      "in_channels": 80,
+      "is_causal": false,
+      "long_skip_connection": true,
+      "n_f0_bins": 512,
+      "num_heads": 8,
+      "style_as_token": false,
+      "style_condition": true,
+      "target": "mel",
+      "time_as_token": false,
+      "uvit_skip_connection": true,
+      "zero_prompt_speech_token": false
+    },
+    "dit_type": "DiT",
+    "length_regulator": {
+      "channels": 512,
+      "content_codebook_size": 2048,
+      "f0_condition": false,
+      "in_channels": 1024,
+      "is_discrete": false,
+      "n_codebooks": 1,
+      "n_f0_bins": 512,
+      "quantizer_dropout": 0.0,
+      "sampling_ratios": [
+        1,
+        1,
+        1,
+        1
+      ],
+      "vector_quantize": false
+    },
+    "preprocess_params": {
+      "spect_params": {
+        "fmax": "None",
+        "fmin": 0,
+        "hop_length": 256,
+        "n_fft": 1024,
+        "n_mels": 80,
+        "win_length": 1024
+      },
+      "sr": 22050
+    },
+    "reg_loss_type": "l1",
+    "style_encoder": {
+      "dim": 192
+    },
+    "wavenet": {
+      "dilation_rate": 1,
+      "hidden_dim": 512,
+      "kernel_size": 5,
+      "num_layers": 8,
+      "p_dropout": 0.2,
+      "style_condition": true
+    }
+  },
+  "s2mel_checkpoint": "DiT_gptlatent_10000.pth",
+  "semantic_codec": {
+    "codebook_dim": 8,
+    "codebook_size": 8192,
+    "frame_rate": 25,
+    "hidden_size": 1024,
+    "vocos_dim": 384,
+    "vocos_intermediate_dim": 2048,
+    "vocos_num_layers": 12
+  },
+  "spk_matrix": "feat1.pt",
+  "supported_languages": [
+    "zh",
+    "en",
+    "ja",
+    "es",
+    "ar"
+  ],
+  "version": 2.5,
+  "vocoder": {
+    "name": "bigvgan_generator.pt",
+    "type": "bigvgan"
+  },
+  "w2v_stat": "wav2vec2bert_stats.pt"
+}

config.yaml

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+dataset:
+  bpe_model: multilingual_zh_ja_yue_char_del.tiktoken
+  sample_rate: 24000
+  squeeze: false
+  mel:
+    sample_rate: 24000
+    n_fft: 1024
+    hop_length: 256
+    win_length: 1024
+    n_mels: 100
+    mel_fmin: 0
+    normalize: false
+  tokenizer_type: tiktoken
+gpt:
+  model_dim: 1280
+  max_mel_tokens: 1815
+  max_text_tokens: 600
+  heads: 20
+  use_mel_codes_as_input: true
+  mel_length_compression: 1024
+  layers: 24
+  number_text_tokens: 60509
+  number_mel_codes: 8194
+  start_mel_token: 8192
+  stop_mel_token: 8193
+  start_text_token: 0
+  stop_text_token: 1
+  train_solo_embeddings: false
+  condition_type: conformer_perceiver
+  condition_module:
+    output_size: 512
+    linear_units: 2048
+    attention_heads: 8
+    num_blocks: 6
+    input_layer: conv2d2
+    perceiver_mult: 2
+  emo_condition_module:
+    output_size: 512
+    linear_units: 1024
+    attention_heads: 4
+    num_blocks: 4
+    input_layer: conv2d2
+    perceiver_mult: 2
+semantic_codec:
+  codebook_size: 8192
+  hidden_size: 1024
+  codebook_dim: 8
+  vocos_dim: 384
+  vocos_intermediate_dim: 2048
+  vocos_num_layers: 12
+  frame_rate: 25
+s2mel:
+  preprocess_params:
+    sr: 22050
+    spect_params:
+      n_fft: 1024
+      win_length: 1024
+      hop_length: 256
+      n_mels: 80
+      fmin: 0
+      fmax: None
+  dit_type: DiT
+  reg_loss_type: l1
+  style_encoder:
+    dim: 192
+  length_regulator:
+    channels: 512
+    is_discrete: false
+    in_channels: 1024
+    content_codebook_size: 2048
+    sampling_ratios:
+    - 1
+    - 1
+    - 1
+    - 1
+    vector_quantize: false
+    n_codebooks: 1
+    quantizer_dropout: 0.0
+    f0_condition: false
+    n_f0_bins: 512
+  DiT:
+    hidden_dim: 512
+    num_heads: 8
+    depth: 13
+    class_dropout_prob: 0.1
+    block_size: 8192
+    in_channels: 80
+    style_condition: true
+    final_layer_type: wavenet
+    target: mel
+    content_dim: 512
+    content_codebook_size: 1024
+    content_type: discrete
+    f0_condition: false
+    n_f0_bins: 512
+    content_codebooks: 1
+    is_causal: false
+    long_skip_connection: true
+    zero_prompt_speech_token: false
+    time_as_token: false
+    style_as_token: false
+    uvit_skip_connection: true
+    add_resblock_in_transformer: false
+  wavenet:
+    hidden_dim: 512
+    num_layers: 8
+    kernel_size: 5
+    dilation_rate: 1
+    p_dropout: 0.2
+    style_condition: true
+gpt_checkpoint: checkpoint_5000.pth
+w2v_stat: wav2vec2bert_stats.pt
+s2mel_checkpoint: DiT_gptlatent_10000.pth
+emo_matrix: feat2.pt
+spk_matrix: feat1.pt
+emo_num:
+- 3
+- 17
+- 2
+- 8
+- 4
+- 5
+- 10
+- 24
+qwen_emo_path: qwen0.6bemo4-merge/
+vocoder:
+  type: bigvgan
+  name: bigvgan_generator.pt
+version: 2.5
+supported_languages:
+- zh
+- en
+- ja
+- es
+- ar

conversion_report.json

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