Text-to-Speech
Transformers
Safetensors
English
Chinese
speech-recognition
tts
asr
voice-cloning
long-form
multi-speaker
streaming
mirror
Instructions to use AEmotionStudio/vibevoice-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AEmotionStudio/vibevoice-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AEmotionStudio/vibevoice-models")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AEmotionStudio/vibevoice-models", dtype="auto") - Notebooks
- Google Colab
- Kaggle
remove: tts-large-fp8/ — pre-quantized FP8 variant retired (transformers/torchao reload bugs + no CPU/disk spillover; bf16 + runtime NF4 covers the smaller-card use case better)
Browse files- tts-large-fp8/config.json +0 -177
- tts-large-fp8/generation_config.json +0 -4
- tts-large-fp8/model-00001-of-00003.safetensors +0 -3
- tts-large-fp8/model-00002-of-00003.safetensors +0 -3
- tts-large-fp8/model-00003-of-00003.safetensors +0 -3
- tts-large-fp8/model.safetensors.index.json +0 -0
- tts-large-fp8/preprocessor_config.json +0 -12
tts-large-fp8/config.json
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{
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"_attn_implementation_autoset": false,
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"acostic_vae_dim": 64,
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"acoustic_tokenizer_config": {
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"causal": true,
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"channels": 1,
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"conv_bias": true,
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"conv_norm": "none",
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"corpus_normalize": 0.0,
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"decoder_depths": null,
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"decoder_n_filters": 32,
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"disable_last_norm": true,
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"dtype": "bfloat16",
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"encoder_depths": "3-3-3-3-3-3-8",
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"encoder_n_filters": 32,
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"encoder_ratios": [
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"fix_std": 0.5,
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"layer_scale_init_value": 1e-06,
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"layernorm": "RMSNorm",
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"layernorm_elementwise_affine": true,
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"layernorm_eps": 1e-05,
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"mixer_layer": "depthwise_conv",
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"model_type": "vibevoice_acoustic_tokenizer",
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"pad_mode": "constant",
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"std_dist_type": "gaussian",
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"vae_dim": 64,
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"weight_init_value": 0.01
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},
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"acoustic_vae_dim": 64,
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"architectures": [
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"VibeVoiceForConditionalGenerationInference"
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],
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"decoder_config": {
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"layer_types": [
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"use_cache": true,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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},
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"diffusion_head_config": {
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"ddpm_batch_mul": 4,
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"ddpm_beta_schedule": "cosine",
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"ddpm_num_inference_steps": 20,
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"ddpm_num_steps": 1000,
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"diffusion_type": "ddpm",
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"dtype": "bfloat16",
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"head_ffn_ratio": 3.0,
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"head_layers": 4,
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"hidden_size": 3584,
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"latent_size": 64,
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"model_type": "vibevoice_diffusion_head",
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"prediction_type": "v_prediction",
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"rms_norm_eps": 1e-05,
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"speech_vae_dim": 64
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},
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"dtype": "bfloat16",
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"model_type": "vibevoice",
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"quantization_config": {
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"include_input_output_embeddings": false,
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"modules_to_not_convert": [
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"diffusion_head",
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"acoustic_tokenizer",
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"acoustic_connector",
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"semantic_connector"
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],
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"quant_method": "torchao",
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"quant_type": {
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"default": {
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"_data": {
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"set_inductor_config": true,
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"weight_dtype": {
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"_data": "float8_e4m3fn",
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"_type": "torch.dtype"
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}
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"_type": "Float8WeightOnlyConfig",
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"_version": 2
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"quant_type_kwargs": {},
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"untie_embedding_weights": false
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"semantic_tokenizer_config": {
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"causal": true,
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"channels": 1,
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"conv_bias": true,
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"conv_norm": "none",
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"corpus_normalize": 0.0,
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"disable_last_norm": true,
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"dtype": "bfloat16",
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"encoder_depths": "3-3-3-3-3-3-8",
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"encoder_n_filters": 32,
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"fix_std": 0,
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"layer_scale_init_value": 1e-06,
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"layernorm": "RMSNorm",
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"layernorm_elementwise_affine": true,
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"layernorm_eps": 1e-05,
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"mixer_layer": "depthwise_conv",
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"model_type": "vibevoice_semantic_tokenizer",
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"pad_mode": "constant",
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"std_dist_type": "none",
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"vae_dim": 128,
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"weight_init_value": 0.01
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"semantic_vae_dim": 128,
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"tie_word_embeddings": false,
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"transformers_version": "4.57.6"
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version https://git-lfs.github.com/spec/v1
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tts-large-fp8/model.safetensors.index.json
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"processor_class": "VibeVoiceProcessor",
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"db_normalize": true,
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"audio_processor": {
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"feature_extractor_type": "VibeVoiceTokenizerProcessor",
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"sampling_rate": 24000,
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"normalize_audio": true,
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"target_dB_FS": -25,
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