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README.md

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+---
+license: apache-2.0
+pipeline_tag: text-to-speech
+library_name: index-tts
+tags:
+- mlx
+---
+
+# mlx-community/IndexTTS
+This model was converted to MLX format from [`IndexTeam/Index-TTS`](https://huggingface.co/IndexTeam/Index-TTS) using mlx-audio version **0.2.3**.
+Refer to the [original model card](https://huggingface.co/IndexTeam/Index-TTS) for more details on the model.
+## Use with mlx
+
+```bash
+pip install -U mlx-audio
+```
+
+```bash
+python -m mlx_audio.tts.generate --model mlx-community/IndexTTS --text "Describe this image."
+```

bigvgan_generator.safetensors

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config.json

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+{
+    "bigvgan": {
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+        "adam_b2": 0.99,
+        "lr_decay": 0.999998,
+        "seed": 1234,
+        "resblock": "1",
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+        "feat_upsample": false,
+        "speaker_embedding_dim": 512,
+        "cond_d_vector_in_each_upsampling_layer": true,
+        "gpt_dim": 1024,
+        "activation": "snakebeta",
+        "snake_logscale": true,
+        "use_cqtd_instead_of_mrd": true,
+        "cqtd_filters": 128,
+        "cqtd_max_filters": 1024,
+        "cqtd_filters_scale": 1,
+        "cqtd_dilations": [
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+        "resolutions": [
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+        "discriminator_channel_mult": 1,
+        "use_multiscale_melloss": true,
+        "lambda_melloss": 15,
+        "clip_grad_norm": 1000,
+        "segment_size": 16384,
+        "num_mels": 100,
+        "num_freq": 1025,
+        "n_fft": 1024,
+        "hop_size": 256,
+        "win_size": 1024,
+        "sampling_rate": 24000,
+        "fmin": 0,
+        "fmax": null,
+        "fmax_for_loss": null,
+        "mel_type": "pytorch",
+        "num_workers": 2,
+        "dist_config": {
+            "dist_backend": "nccl",
+            "dist_url": "tcp://localhost:54321",
+            "world_size": 1
+        }
+    },
+    "bigvgan_checkpoint": "bigvgan_generator.pth",
+    "dataset": {
+        "bpe_model": "checkpoints/bpe.model",
+        "sample_rate": 24000,
+        "squeeze": false,
+        "mel": {
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+            "hop_length": 256,
+            "win_length": 1024,
+            "n_mels": 100,
+            "mel_fmin": 0,
+            "normalize": false
+        }
+    },
+    "dvae_checkpoint": "dvae.pth",
+    "gpt": {
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+        "max_mel_tokens": 605,
+        "max_text_tokens": 402,
+        "heads": 16,
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+        "number_text_tokens": 12000,
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+        "start_text_token": 0,
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+        "train_solo_embeddings": false,
+        "condition_type": "conformer_perceiver",
+        "condition_module": {
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+            "linear_units": 2048,
+            "attention_heads": 8,
+            "num_blocks": 6,
+            "input_layer": "conv2d2",
+            "perceiver_mult": 2
+        }
+    },
+    "gpt_checkpoint": "gpt.pth",
+    "vqvae": {
+        "channels": 100,
+        "num_tokens": 8192,
+        "hidden_dim": 512,
+        "num_resnet_blocks": 3,
+        "codebook_dim": 512,
+        "num_layers": 2,
+        "positional_dims": 1,
+        "kernel_size": 3,
+        "smooth_l1_loss": true,
+        "use_transposed_convs": false
+    }
+}

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model.safetensors

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