| { | |
| "schema": "scyllasband_pytorch_release_v2", | |
| "files": { | |
| "condition_index.json": "995750fb8ff573f087f75df851fd38dd7d574e3a47773e8f150bb3b928cf251f", | |
| "duration.pt": "765e8970c5c014be982a0645129682b47338656ec407373683da78318a77a5dd", | |
| "fixed_references.json": "0120e1cf1ef9b3ee19ed3d269c4dc6f6c47e694a59bcce5bba89abe101cd20e4", | |
| "g2p.pt": "c1aff82582456abc7667cf471a045ebaea3296a6b74240cc5e40b4686f643950", | |
| "phone_vocab.json": "83e6457a69948edbd9a94b404c22fd408c263eb0d0b5acaafa4926e994587721", | |
| "vector_estimator.pt": "556caf9f64a97329679ca99b3e6b59e1ecfb8ae312ad2321d10e7ba1e979b1da", | |
| "vocoder.pt": "e31e681d8c524f149efc2a0ea55474c28c1e1c44a5188378ba9d14918db2a15d" | |
| }, | |
| "sampler": { | |
| "default": "euler", | |
| "steps": 4 | |
| }, | |
| "latent": { | |
| "dim": 24, | |
| "hop_length": 512, | |
| "sample_rate": 24000 | |
| } | |
| } | |