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Browse files- README.md +46 -0
- config.json +116 -0
- model.safetensors +3 -0
- model.safetensors.index.json +0 -0
README.md
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---
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license: mit
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language:
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- zh
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- en
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library_name: mlx-audio
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tags:
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- mlx
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- text-to-speech
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- speech
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- speech generation
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- voice cloning
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- tts
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- mlx-audio
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---
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# mlx-community/LongCat-AudioDiT-1B-4bit
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This model was converted to MLX format from [`meituan-longcat/LongCat-AudioDiT-1B`](https://huggingface.co/meituan-longcat/LongCat-AudioDiT-1B) using mlx-audio version **0.4.3**.
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Refer to the [original model card](https://huggingface.co/meituan-longcat/LongCat-AudioDiT-1B) for more details on the model.
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## Use with mlx-audio
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```bash
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pip install -U mlx-audio
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```
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### CLI Example:
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```bash
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python -m mlx_audio.tts.generate --model mlx-community/LongCat-AudioDiT-1B-4bit --text "Hello, this is a test."
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```
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### Python Example:
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```python
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from mlx_audio.tts.utils import load_model
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from mlx_audio.tts.generate import generate_audio
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model = load_model("mlx-community/LongCat-AudioDiT-1B-4bit")
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generate_audio(
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model=model,
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text="Hello, this is a test.",
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ref_audio="path_to_audio.wav",
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file_prefix="test_audio",
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)
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```
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config.json
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{
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"dit_adaln_type": "global",
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"dit_adaln_use_text_cond": true,
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"dit_bias": true,
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"dit_cross_attn": true,
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"dit_cross_attn_norm": false,
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"dit_depth": 24,
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"dit_dim": 1536,
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"dit_dropout": 0.0,
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"dit_eps": 1e-06,
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"dit_ff_mult": 4,
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"dit_heads": 24,
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"dit_long_skip": true,
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"dit_qk_norm": true,
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"dit_text_conv": true,
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"dit_text_dim": 768,
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"dit_use_latent_condition": true,
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"latent_dim": 64,
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"latent_hop": 2048,
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"max_wav_duration": 30,
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"model_type": "longcat_audiodit",
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"quantization": {
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"group_size": 64,
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"bits": 4,
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"mode": "affine"
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},
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"quantization_config": {
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"group_size": 64,
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"bits": 4,
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"mode": "affine"
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},
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"repa_dit_layer": 8,
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"sampling_rate": 24000,
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"sigma": 0.0,
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"text_add_embed": true,
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"text_encoder_config": {
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"_name_or_path": "ArthurZ/umt5-base",
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"architectures": [
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"UMT5ForConditionalGeneration"
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],
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"chunk_size_feed_forward": 0,
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"classifier_dropout": 0.0,
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"dtype": "float32",
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"initializer_factor": 1.0,
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"is_decoder": false,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layer_norm_epsilon": 1e-06,
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"model_type": "umt5",
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"num_decoder_layers": 12,
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"num_heads": 12,
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"num_layers": 12,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_past": true,
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"pad_token_id": 0,
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"problem_type": null,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"return_dict": true,
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"scalable_attention": true,
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"tie_word_embeddings": true,
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"tokenizer_class": "T5Tokenizer",
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"use_cache": true,
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"vocab_size": 256384
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},
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"text_encoder_model": "google/umt5-base",
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"text_norm_feat": true,
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"transformers_version": "5.3.0",
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"vae_config": {
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"c_mults": [
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1,
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8,
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16
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],
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"channels": 128,
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"downsample_shortcut": "averaging",
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"downsampling_ratio": 2048,
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"encoder_latent_dim": 128,
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"final_tanh": false,
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"in_channels": 1,
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"in_shortcut": "duplicating",
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"latent_dim": 64,
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"model_type": "audiodit_vae",
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"out_shortcut": "averaging",
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"sample_rate": 24000,
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"scale": 0.71,
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"strides": [
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2,
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],
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"upsample_shortcut": "duplicating",
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"use_snake": true
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}
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f492cab2990823b7dbdd927e8faf87369bc993bbf145a48265fba9218b5eccf
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size 1417765849
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model.safetensors.index.json
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