| { | |
| "schema": "scyllasband_pytorch_release_v2", | |
| "files": { | |
| "condition_index.json": "aee7cca3cb35fae630972663cf7c46e9345612c920ef6168187407110173ddec", | |
| "duration.pt": "6ca5a04e18924144b9658f0f1d9da271ba1974cab4bd2cf0362b08ed39ef6033", | |
| "fixed_references.json": "523eb475976c4749a8b6bab1ecce982f147bc2b576b3b35544df8173fa35c57a", | |
| "g2p.pt": "008143e12935199d9250b48625a7af3c8ec75acb345a596eeb0c9dde932a46be", | |
| "phone_vocab.json": "83e6457a69948edbd9a94b404c22fd408c263eb0d0b5acaafa4926e994587721", | |
| "vector_estimator.pt": "08f619ee9393b1d179636e805dd738ed09025ef01426acf810de19529a83c1cb", | |
| "vocoder.pt": "4bc62614f579e245a00d06ae9cc259ca177c35b8713b042af7bb09709f6ba9cb" | |
| }, | |
| "sampler": { | |
| "default": "euler", | |
| "steps": 4 | |
| }, | |
| "latent": { | |
| "dim": 24, | |
| "hop_length": 512, | |
| "sample_rate": 24000 | |
| } | |
| } | |