Upload vibevoice_pipeline_config.json with huggingface_hub
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vibevoice_pipeline_config.json
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{
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"name": "VibeVoice-1.5B-CoreML",
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"version": "1.0.0",
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"description": "VibeVoice TTS model converted to CoreML format",
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"components": {
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"acoustic_encoder": {
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"path": "vibevoice_acoustic_encoder.mlpackage",
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"available": true
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},
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"semantic_encoder": {
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"path": "vibevoice_semantic_encoder.mlpackage",
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"available": true
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},
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"acoustic_connector": {
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"path": "vibevoice_acoustic_connector.mlpackage",
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"available": true
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},
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"semantic_connector": {
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"path": "vibevoice_semantic_connector.mlpackage",
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"available": true
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},
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"diffusion_head": {
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"path": "vibevoice_diffusion_head.mlpackage",
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"available": true
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}
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},
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"inference": {
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"audio": {
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"sample_rate": 24000,
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"channels": 1,
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"downsample_factor": 3200,
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"frame_rate_hz": 7.5,
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"fixed_encoder_samples": 24000,
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"fixed_encoder_note": "Acoustic and Semantic encoders accept only 24000 samples (1 sec at 24kHz); trim or pad input."
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},
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"diffusion": {
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"num_steps": 20,
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"beta_schedule": "cosine",
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"prediction_type": "v_prediction",
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"guidance_scale": 1.0
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},
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"generation": {
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"max_audio_length_seconds": 60,
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"max_seq_length": 4096
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}
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},
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"platform": {
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"minimum_ios_version": "17.0",
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"minimum_macos_version": "14.0",
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"compute_units": "ALL"
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}
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}
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