naclonts / musicgen-experiment-1
A fine-tuning of MusicGen on a specific Moog synthesizer track
- Public
- 48 runs
-
L40S
Prediction
naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0IDkmvfosrbvpeknnrangw4qtvaqaStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- top_k
- 250
- top_p
- 0
- prompt
- synthesizers, beat
- duration
- 30
- temperature
- 1
- continuation
- output_format
- wav
- continuation_start
- 0
- multi_band_diffusion
- normalization_strategy
- loudness
- classifier_free_guidance
- 3
{ "top_k": 250, "top_p": 0, "prompt": "synthesizers, beat", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", { input: { top_k: 250, top_p: 0, prompt: "synthesizers, beat", duration: 30, temperature: 1, continuation: false, output_format: "wav", continuation_start: 0, multi_band_diffusion: false, normalization_strategy: "loudness", classifier_free_guidance: 3 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", input={ "top_k": 250, "top_p": 0, "prompt": "synthesizers, beat", "duration": 30, "temperature": 1, "continuation": False, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": False, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", "input": { "top_k": 250, "top_p": 0, "prompt": "synthesizers, beat", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%00:00:000Stream Type LIVERemaining Time -00:00:0001x- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
{ "completed_at": "2024-03-22T20:03:04.149536Z", "created_at": "2024-03-22T19:52:17.416458Z", "data_removed": false, "error": null, "id": "kmvfosrbvpeknnrangw4qtvaqa", "input": { "top_k": 250, "top_p": 0, "prompt": "synthesizers, beat", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }, "logs": "Downloading: \"https://replicate.delivery/pbxt/XYUW0e1C0ZzsASDSIZlJMmQbjXPYA04eGhOxEdkeZqmo1sFlA/trained_model.tar\" to /src/models/hub/checkpoints/trained_model.tar\n 0%| | 0.00/1.57G [00:00<?, ?B/s]\n 0%| | 7.83M/1.57G [00:00<00:20, 82.1MB/s]\n 1%|▏ | 22.6M/1.57G [00:00<00:13, 125MB/s] \n 2%|▏ | 38.7M/1.57G [00:00<00:11, 145MB/s]\n 3%|▎ | 54.1M/1.57G [00:00<00:10, 151MB/s]\n 4%|▍ | 68.5M/1.57G [00:00<00:10, 149MB/s]\n 5%|▌ | 82.7M/1.57G [00:00<00:10, 147MB/s]\n 6%|▌ | 96.8M/1.57G [00:00<00:11, 143MB/s]\n 7%|▋ | 111M/1.57G [00:00<00:10, 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1500\n967 / 1500\n968 / 1500\n969 / 1500\n970 / 1500\n971 / 1500\n972 / 1500\n973 / 1500\n974 / 1500\n975 / 1500\n976 / 1500\n977 / 1500\n978 / 1500\n979 / 1500\n980 / 1500\n981 / 1500\n982 / 1500\n983 / 1500\n984 / 1500\n985 / 1500\n986 / 1500\n987 / 1500\n988 / 1500\n989 / 1500\n990 / 1500\n991 / 1500\n992 / 1500\n993 / 1500\n994 / 1500\n995 / 1500\n996 / 1500\n997 / 1500\n998 / 1500\n999 / 1500\n1000 / 1500\n1001 / 1500\n1002 / 1500\n1003 / 1500\n1004 / 1500\n1005 / 1500\n1006 / 1500\n1007 / 1500\n1008 / 1500\n1009 / 1500\n1010 / 1500\n1011 / 1500\n1012 / 1500\n1013 / 1500\n1014 / 1500\n1015 / 1500\n1016 / 1500\n1017 / 1500\n1018 / 1500\n1019 / 1500\n1020 / 1500\n1021 / 1500\n1022 / 1500\n1023 / 1500\n1024 / 1500\n1025 / 1500\n1026 / 1500\n1027 / 1500\n1028 / 1500\n1029 / 1500\n1030 / 1500\n1031 / 1500\n1032 / 1500\n1033 / 1500\n1034 / 1500\n1035 / 1500\n1036 / 1500\n1037 / 1500\n1038 / 1500\n1039 / 1500\n1040 / 1500\n1041 / 1500\n1042 / 1500\n1043 / 1500\n1044 / 1500\n1045 / 1500\n1046 / 1500\n1047 / 1500\n1048 / 1500\n1049 / 1500\n1050 / 1500\n1051 / 1500\n1052 / 1500\n1053 / 1500\n1054 / 1500\n1055 / 1500\n1056 / 1500\n1057 / 1500\n1058 / 1500\n1059 / 1500\n1060 / 1500\n1061 / 1500\n1062 / 1500\n1063 / 1500\n1064 / 1500\n1065 / 1500\n1066 / 1500\n1067 / 1500\n1068 / 1500\n1069 / 1500\n1070 / 1500\n1071 / 1500\n1072 / 1500\n1073 / 1500\n1074 / 1500\n1075 / 1500\n1076 / 1500\n1077 / 1500\n1078 / 1500\n1079 / 1500\n1080 / 1500\n1081 / 1500\n1082 / 1500\n1083 / 1500\n1084 / 1500\n1085 / 1500\n1086 / 1500\n1087 / 1500\n1088 / 1500\n1089 / 1500\n1090 / 1500\n1091 / 1500\n1092 / 1500\n1093 / 1500\n1094 / 1500\n1095 / 1500\n1096 / 1500\n1097 / 1500\n1098 / 1500\n1099 / 1500\n1100 / 1500\n1101 / 1500\n1102 / 1500\n1103 / 1500\n1104 / 1500\n1105 / 1500\n1106 / 1500\n1107 / 1500\n1108 / 1500\n1109 / 1500\n1110 / 1500\n1111 / 1500\n1112 / 1500\n1113 / 1500\n1114 / 1500\n1115 / 1500\n1116 / 1500\n1117 / 1500\n1118 / 1500\n1119 / 1500\n1120 / 1500\n1121 / 1500\n1122 / 1500\n1123 / 1500\n1124 / 1500\n1125 / 1500\n1126 / 1500\n1127 / 1500\n1128 / 1500\n1129 / 1500\n1130 / 1500\n1131 / 1500\n1132 / 1500\n1133 / 1500\n1134 / 1500\n1135 / 1500\n1136 / 1500\n1137 / 1500\n1138 / 1500\n1139 / 1500\n1140 / 1500\n1141 / 1500\n1142 / 1500\n1143 / 1500\n1144 / 1500\n1145 / 1500\n1146 / 1500\n1147 / 1500\n1148 / 1500\n1149 / 1500\n1150 / 1500\n1151 / 1500\n1152 / 1500\n1153 / 1500\n1154 / 1500\n1155 / 1500\n1156 / 1500\n1157 / 1500\n1158 / 1500\n1159 / 1500\n1160 / 1500\n1161 / 1500\n1162 / 1500\n1163 / 1500\n1164 / 1500\n1165 / 1500\n1166 / 1500\n1167 / 1500\n1168 / 1500\n1169 / 1500\n1170 / 1500\n1171 / 1500\n1172 / 1500\n1173 / 1500\n1174 / 1500\n1175 / 1500\n1176 / 1500\n1177 / 1500\n1178 / 1500\n1179 / 1500\n1180 / 1500\n1181 / 1500\n1182 / 1500\n1183 / 1500\n1184 / 1500\n1185 / 1500\n1186 / 1500\n1187 / 1500\n1188 / 1500\n1189 / 1500\n1190 / 1500\n1191 / 1500\n1192 / 1500\n1193 / 1500\n1194 / 1500\n1195 / 1500\n1196 / 1500\n1197 / 1500\n1198 / 1500\n1199 / 1500\n1200 / 1500\n1201 / 1500\n1202 / 1500\n1203 / 1500\n1204 / 1500\n1205 / 1500\n1206 / 1500\n1207 / 1500\n1208 / 1500\n1209 / 1500\n1210 / 1500\n1211 / 1500\n1212 / 1500\n1213 / 1500\n1214 / 1500\n1215 / 1500\n1216 / 1500\n1217 / 1500\n1218 / 1500\n1219 / 1500\n1220 / 1500\n1221 / 1500\n1222 / 1500\n1223 / 1500\n1224 / 1500\n1225 / 1500\n1226 / 1500\n1227 / 1500\n1228 / 1500\n1229 / 1500\n1230 / 1500\n1231 / 1500\n1232 / 1500\n1233 / 1500\n1234 / 1500\n1235 / 1500\n1236 / 1500\n1237 / 1500\n1238 / 1500\n1239 / 1500\n1240 / 1500\n1241 / 1500\n1242 / 1500\n1243 / 1500\n1244 / 1500\n1245 / 1500\n1246 / 1500\n1247 / 1500\n1248 / 1500\n1249 / 1500\n1250 / 1500\n1251 / 1500\n1252 / 1500\n1253 / 1500\n1254 / 1500\n1255 / 1500\n1256 / 1500\n1257 / 1500\n1258 / 1500\n1259 / 1500\n1260 / 1500\n1261 / 1500\n1262 / 1500\n1263 / 1500\n1264 / 1500\n1265 / 1500\n1266 / 1500\n1267 / 1500\n1268 / 1500\n1269 / 1500\n1270 / 1500\n1271 / 1500\n1272 / 1500\n1273 / 1500\n1274 / 1500\n1275 / 1500\n1276 / 1500\n1277 / 1500\n1278 / 1500\n1279 / 1500\n1280 / 1500\n1281 / 1500\n1282 / 1500\n1283 / 1500\n1284 / 1500\n1285 / 1500\n1286 / 1500\n1287 / 1500\n1288 / 1500\n1289 / 1500\n1290 / 1500\n1291 / 1500\n1292 / 1500\n1293 / 1500\n1294 / 1500\n1295 / 1500\n1296 / 1500\n1297 / 1500\n1298 / 1500\n1299 / 1500\n1300 / 1500\n1301 / 1500\n1302 / 1500\n1303 / 1500\n1304 / 1500\n1305 / 1500\n1306 / 1500\n1307 / 1500\n1308 / 1500\n1309 / 1500\n1310 / 1500\n1311 / 1500\n1312 / 1500\n1313 / 1500\n1314 / 1500\n1315 / 1500\n1316 / 1500\n1317 / 1500\n1318 / 1500\n1319 / 1500\n1320 / 1500\n1321 / 1500\n1322 / 1500\n1323 / 1500\n1324 / 1500\n1325 / 1500\n1326 / 1500\n1327 / 1500\n1328 / 1500\n1329 / 1500\n1330 / 1500\n1331 / 1500\n1332 / 1500\n1333 / 1500\n1334 / 1500\n1335 / 1500\n1336 / 1500\n1337 / 1500\n1338 / 1500\n1339 / 1500\n1340 / 1500\n1341 / 1500\n1342 / 1500\n1343 / 1500\n1344 / 1500\n1345 / 1500\n1346 / 1500\n1347 / 1500\n1348 / 1500\n1349 / 1500\n1350 / 1500\n1351 / 1500\n1352 / 1500\n1353 / 1500\n1354 / 1500\n1355 / 1500\n1356 / 1500\n1357 / 1500\n1358 / 1500\n1359 / 1500\n1360 / 1500\n1361 / 1500\n1362 / 1500\n1363 / 1500\n1364 / 1500\n1365 / 1500\n1366 / 1500\n1367 / 1500\n1368 / 1500\n1369 / 1500\n1370 / 1500\n1371 / 1500\n1372 / 1500\n1373 / 1500\n1374 / 1500\n1375 / 1500\n1376 / 1500\n1377 / 1500\n1378 / 1500\n1379 / 1500\n1380 / 1500\n1381 / 1500\n1382 / 1500\n1383 / 1500\n1384 / 1500\n1385 / 1500\n1386 / 1500\n1387 / 1500\n1388 / 1500\n1389 / 1500\n1390 / 1500\n1391 / 1500\n1392 / 1500\n1393 / 1500\n1394 / 1500\n1395 / 1500\n1396 / 1500\n1397 / 1500\n1398 / 1500\n1399 / 1500\n1400 / 1500\n1401 / 1500\n1402 / 1500\n1403 / 1500\n1404 / 1500\n1405 / 1500\n1406 / 1500\n1407 / 1500\n1408 / 1500\n1409 / 1500\n1410 / 1500\n1411 / 1500\n1412 / 1500\n1413 / 1500\n1414 / 1500\n1415 / 1500\n1416 / 1500\n1417 / 1500\n1418 / 1500\n1419 / 1500\n1420 / 1500\n1421 / 1500\n1422 / 1500\n1423 / 1500\n1424 / 1500\n1425 / 1500\n1426 / 1500\n1427 / 1500\n1428 / 1500\n1429 / 1500\n1430 / 1500\n 1431 / 1500\n1432 / 1500\n1433 / 1500\n1434 / 1500\n1435 / 1500\n1436 / 1500\n1437 / 1500\n1438 / 1500\n1439 / 1500\n1440 / 1500\n1441 / 1500\n1442 / 1500\n1443 / 1500\n1444 / 1500\n1445 / 1500\n1446 / 1500\n1447 / 1500\n1448 / 1500\n1449 / 1500\n1450 / 1500\n1451 / 1500\n1452 / 1500\n1453 / 1500\n1454 / 1500\n1455 / 1500\n1456 / 1500\n1457 / 1500\n1458 / 1500\n1459 / 1500\n1460 / 1500\n1461 / 1500\n1462 / 1500\n1463 / 1500\n1464 / 1500\n1465 / 1500\n1466 / 1500\n1467 / 1500\n1468 / 1500\n1469 / 1500\n1470 / 1500\n1471 / 1500\n1472 / 1500\n1473 / 1500\n1474 / 1500\n1475 / 1500\n1476 / 1500\n1477 / 1500\n1478 / 1500\n1479 / 1500\n1480 / 1500\n1481 / 1500\n1482 / 1500\n1483 / 1500\n1484 / 1500\n1485 / 1500\n1486 / 1500\n1487 / 1500\n1488 / 1500\n1489 / 1500\n1490 / 1500\n1491 / 1500\n1492 / 1500\n1493 / 1500\n1494 / 1500\n1495 / 1500\n1496 / 1500\n1497 / 1500\n1498 / 1500\n1499 / 1500\n1500 / 1500\n1501 / 1500\n1502 / 1500\n1503 / 1500\nCLIPPING out happening with proba (a bit of clipping is okay): 0.004957291763275862 maximum scale: 2.9343414306640625", "metrics": { "predict_time": 81.303734, "total_time": 646.733078 }, "output": "https://replicate.delivery/pbxt/Fz9mYZmitMZebaj3d2qfPtCourXC9Xg7aqhPg7ze5dBvvyFlA/out.wav", "started_at": "2024-03-22T20:01:42.845802Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/kmvfosrbvpeknnrangw4qtvaqa", "cancel": "https://api.replicate.com/v1/predictions/kmvfosrbvpeknnrangw4qtvaqa/cancel" }, "version": "a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0" }Generated inDownloading: "https://replicate.delivery/pbxt/XYUW0e1C0ZzsASDSIZlJMmQbjXPYA04eGhOxEdkeZqmo1sFlA/trained_model.tar" to /src/models/hub/checkpoints/trained_model.tar 0%| | 0.00/1.57G [00:00<?, ?B/s] 0%| | 7.83M/1.57G [00:00<00:20, 82.1MB/s] 1%|▏ | 22.6M/1.57G [00:00<00:13, 125MB/s] 2%|▏ | 38.7M/1.57G [00:00<00:11, 145MB/s] 3%|▎ | 54.1M/1.57G [00:00<00:10, 151MB/s] 4%|▍ | 68.5M/1.57G [00:00<00:10, 149MB/s] 5%|▌ | 82.7M/1.57G [00:00<00:10, 147MB/s] 6%|▌ | 96.8M/1.57G [00:00<00:11, 143MB/s] 7%|▋ | 111M/1.57G [00:00<00:10, 146MB/s] 8%|▊ | 125M/1.57G [00:00<00:10, 146MB/s] 9%|▊ | 139M/1.57G [00:01<00:10, 145MB/s] 10%|▉ | 153M/1.57G [00:01<00:10, 143MB/s] 10%|█ | 167M/1.57G [00:01<00:10, 139MB/s] 11%|█▏ | 181M/1.57G [00:01<00:10, 142MB/s] 12%|█▏ | 195M/1.57G [00:01<00:10, 140MB/s] 13%|█▎ | 208M/1.57G [00:01<00:10, 142MB/s] 14%|█▍ | 222M/1.57G [00:01<00:10, 139MB/s] 15%|█▍ | 235M/1.57G [00:01<00:10, 138MB/s] 15%|█▌ | 248M/1.57G [00:01<00:10, 136MB/s] 16%|█▋ | 261M/1.57G [00:01<00:10, 132MB/s] 17%|█▋ | 275M/1.57G [00:02<00:10, 134MB/s] 18%|█▊ | 289M/1.57G [00:02<00:09, 139MB/s] 19%|█▉ | 303M/1.57G [00:02<00:09, 138MB/s] 20%|█▉ | 317M/1.57G [00:02<00:09, 141MB/s] 21%|██ | 330M/1.57G [00:02<00:09, 140MB/s] 21%|██▏ | 345M/1.57G [00:02<00:09, 144MB/s] 22%|██▏ | 358M/1.57G [00:02<00:09, 143MB/s] 23%|██▎ | 372M/1.57G [00:02<00:09, 134MB/s] 24%|██▍ | 386M/1.57G [00:02<00:09, 137MB/s] 25%|██▍ | 400M/1.57G 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model.safetensors: 76%|███████▌ | 178M/236M [00:00<00:00, 197MB/s] Downloading model.safetensors: 84%|████████▍ | 199M/236M [00:01<00:00, 196MB/s] Downloading model.safetensors: 93%|█████████▎| 220M/236M [00:01<00:00, 199MB/s] Downloading model.safetensors: 100%|██████████| 236M/236M [00:01<00:00, 191MB/s] Using seed 941622493 1 / 1500 2 / 1500 3 / 1500 4 / 1500 5 / 1500 6 / 1500 7 / 1500 8 / 1500 9 / 1500 10 / 1500 11 / 1500 12 / 1500 13 / 1500 14 / 1500 15 / 1500 16 / 1500 17 / 1500 18 / 1500 19 / 1500 20 / 1500 21 / 1500 22 / 1500 23 / 1500 24 / 1500 25 / 1500 26 / 1500 27 / 1500 28 / 1500 29 / 1500 30 / 1500 31 / 1500 32 / 1500 33 / 1500 34 / 1500 35 / 1500 36 / 1500 37 / 1500 38 / 1500 39 / 1500 40 / 1500 41 / 1500 42 / 1500 43 / 1500 44 / 1500 45 / 1500 46 / 1500 47 / 1500 48 / 1500 49 / 1500 50 / 1500 51 / 1500 52 / 1500 53 / 1500 54 / 1500 55 / 1500 56 / 1500 57 / 1500 58 / 1500 59 / 1500 60 / 1500 61 / 1500 62 / 1500 63 / 1500 64 / 1500 65 / 1500 66 / 1500 67 / 1500 68 / 1500 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1500 1150 / 1500 1151 / 1500 1152 / 1500 1153 / 1500 1154 / 1500 1155 / 1500 1156 / 1500 1157 / 1500 1158 / 1500 1159 / 1500 1160 / 1500 1161 / 1500 1162 / 1500 1163 / 1500 1164 / 1500 1165 / 1500 1166 / 1500 1167 / 1500 1168 / 1500 1169 / 1500 1170 / 1500 1171 / 1500 1172 / 1500 1173 / 1500 1174 / 1500 1175 / 1500 1176 / 1500 1177 / 1500 1178 / 1500 1179 / 1500 1180 / 1500 1181 / 1500 1182 / 1500 1183 / 1500 1184 / 1500 1185 / 1500 1186 / 1500 1187 / 1500 1188 / 1500 1189 / 1500 1190 / 1500 1191 / 1500 1192 / 1500 1193 / 1500 1194 / 1500 1195 / 1500 1196 / 1500 1197 / 1500 1198 / 1500 1199 / 1500 1200 / 1500 1201 / 1500 1202 / 1500 1203 / 1500 1204 / 1500 1205 / 1500 1206 / 1500 1207 / 1500 1208 / 1500 1209 / 1500 1210 / 1500 1211 / 1500 1212 / 1500 1213 / 1500 1214 / 1500 1215 / 1500 1216 / 1500 1217 / 1500 1218 / 1500 1219 / 1500 1220 / 1500 1221 / 1500 1222 / 1500 1223 / 1500 1224 / 1500 1225 / 1500 1226 / 1500 1227 / 1500 1228 / 1500 1229 / 1500 1230 / 1500 1231 / 1500 1232 / 1500 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/ 1500 1317 / 1500 1318 / 1500 1319 / 1500 1320 / 1500 1321 / 1500 1322 / 1500 1323 / 1500 1324 / 1500 1325 / 1500 1326 / 1500 1327 / 1500 1328 / 1500 1329 / 1500 1330 / 1500 1331 / 1500 1332 / 1500 1333 / 1500 1334 / 1500 1335 / 1500 1336 / 1500 1337 / 1500 1338 / 1500 1339 / 1500 1340 / 1500 1341 / 1500 1342 / 1500 1343 / 1500 1344 / 1500 1345 / 1500 1346 / 1500 1347 / 1500 1348 / 1500 1349 / 1500 1350 / 1500 1351 / 1500 1352 / 1500 1353 / 1500 1354 / 1500 1355 / 1500 1356 / 1500 1357 / 1500 1358 / 1500 1359 / 1500 1360 / 1500 1361 / 1500 1362 / 1500 1363 / 1500 1364 / 1500 1365 / 1500 1366 / 1500 1367 / 1500 1368 / 1500 1369 / 1500 1370 / 1500 1371 / 1500 1372 / 1500 1373 / 1500 1374 / 1500 1375 / 1500 1376 / 1500 1377 / 1500 1378 / 1500 1379 / 1500 1380 / 1500 1381 / 1500 1382 / 1500 1383 / 1500 1384 / 1500 1385 / 1500 1386 / 1500 1387 / 1500 1388 / 1500 1389 / 1500 1390 / 1500 1391 / 1500 1392 / 1500 1393 / 1500 1394 / 1500 1395 / 1500 1396 / 1500 1397 / 1500 1398 / 1500 1399 / 1500 1400 / 1500 1401 / 1500 1402 / 1500 1403 / 1500 1404 / 1500 1405 / 1500 1406 / 1500 1407 / 1500 1408 / 1500 1409 / 1500 1410 / 1500 1411 / 1500 1412 / 1500 1413 / 1500 1414 / 1500 1415 / 1500 1416 / 1500 1417 / 1500 1418 / 1500 1419 / 1500 1420 / 1500 1421 / 1500 1422 / 1500 1423 / 1500 1424 / 1500 1425 / 1500 1426 / 1500 1427 / 1500 1428 / 1500 1429 / 1500 1430 / 1500 1431 / 1500 1432 / 1500 1433 / 1500 1434 / 1500 1435 / 1500 1436 / 1500 1437 / 1500 1438 / 1500 1439 / 1500 1440 / 1500 1441 / 1500 1442 / 1500 1443 / 1500 1444 / 1500 1445 / 1500 1446 / 1500 1447 / 1500 1448 / 1500 1449 / 1500 1450 / 1500 1451 / 1500 1452 / 1500 1453 / 1500 1454 / 1500 1455 / 1500 1456 / 1500 1457 / 1500 1458 / 1500 1459 / 1500 1460 / 1500 1461 / 1500 1462 / 1500 1463 / 1500 1464 / 1500 1465 / 1500 1466 / 1500 1467 / 1500 1468 / 1500 1469 / 1500 1470 / 1500 1471 / 1500 1472 / 1500 1473 / 1500 1474 / 1500 1475 / 1500 1476 / 1500 1477 / 1500 1478 / 1500 1479 / 1500 1480 / 1500 1481 / 1500 1482 / 1500 1483 / 1500 1484 / 1500 1485 / 1500 1486 / 1500 1487 / 1500 1488 / 1500 1489 / 1500 1490 / 1500 1491 / 1500 1492 / 1500 1493 / 1500 1494 / 1500 1495 / 1500 1496 / 1500 1497 / 1500 1498 / 1500 1499 / 1500 1500 / 1500 1501 / 1500 1502 / 1500 1503 / 1500 CLIPPING out happening with proba (a bit of clipping is okay): 0.004957291763275862 maximum scale: 2.9343414306640625Prediction
naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0ID2jzz2pzbfbydhtgtkj52bkqxseStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- top_k
- 250
- top_p
- 0
- prompt
- intense epic synthesizers party
- duration
- 30
- temperature
- 1
- continuation
- output_format
- wav
- continuation_start
- 0
- multi_band_diffusion
- normalization_strategy
- loudness
- classifier_free_guidance
- 3
{ "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", { input: { top_k: 250, top_p: 0, prompt: "intense epic synthesizers party", duration: 30, temperature: 1, continuation: false, output_format: "wav", continuation_start: 0, multi_band_diffusion: false, normalization_strategy: "loudness", classifier_free_guidance: 3 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", input={ "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": False, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": False, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", "input": { "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%00:00:000Stream Type LIVERemaining Time -00:00:0001x- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
{ "completed_at": "2024-03-22T20:05:29.578106Z", "created_at": "2024-03-22T20:03:50.371806Z", "data_removed": false, "error": null, "id": "2jzz2pzbfbydhtgtkj52bkqxse", "input": { "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }, "logs": "Downloading: \"https://replicate.delivery/pbxt/XYUW0e1C0ZzsASDSIZlJMmQbjXPYA04eGhOxEdkeZqmo1sFlA/trained_model.tar\" to /src/models/hub/checkpoints/trained_model.tar\n 0%| | 0.00/1.57G [00:00<?, ?B/s]\n 0%| | 7.85M/1.57G [00:00<00:20, 82.3MB/s]\n 1%|▏ | 20.3M/1.57G [00:00<00:15, 110MB/s] \n 2%|▏ | 34.0M/1.57G [00:00<00:13, 126MB/s]\n 3%|▎ | 46.0M/1.57G [00:00<00:13, 122MB/s]\n 4%|▎ | 57.7M/1.57G [00:00<00:13, 122MB/s]\n 4%|▍ | 70.2M/1.57G [00:00<00:12, 125MB/s]\n 5%|▌ | 84.0M/1.57G [00:00<00:12, 129MB/s]\n 6%|▌ | 96.3M/1.57G 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95.7MB/s]\nDownloading model.safetensors: 22%|██▏ | 52.4M/236M [00:00<00:01, 129MB/s] \nDownloading model.safetensors: 31%|███ | 73.4M/236M [00:00<00:01, 150MB/s]\nDownloading model.safetensors: 40%|███▉ | 94.4M/236M [00:00<00:00, 164MB/s]\nDownloading model.safetensors: 49%|████▉ | 115M/236M [00:00<00:00, 174MB/s] \nDownloading model.safetensors: 58%|█████▊ | 136M/236M [00:00<00:00, 179MB/s]\nDownloading model.safetensors: 67%|██████▋ | 157M/236M [00:01<00:00, 183MB/s]\nDownloading model.safetensors: 76%|███████▌ | 178M/236M [00:01<00:00, 185MB/s]\nDownloading model.safetensors: 84%|████████▍ | 199M/236M [00:01<00:00, 188MB/s]\nDownloading model.safetensors: 93%|█████████▎| 220M/236M [00:01<00:00, 188MB/s]\nDownloading model.safetensors: 100%|██████████| 236M/236M [00:01<00:00, 162MB/s]\nUsing seed 1623552306\n1 / 1500\n2 / 1500\n3 / 1500\n4 / 1500\n5 / 1500\n6 / 1500\n7 / 1500\n8 / 1500\n9 / 1500\n10 / 1500\n11 / 1500\n12 / 1500\n13 / 1500\n14 / 1500\n15 / 1500\n16 / 1500\n17 / 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1500\n1173 / 1500\n1174 / 1500\n1175 / 1500\n1176 / 1500\n1177 / 1500\n1178 / 1500\n1179 / 1500\n1180 / 1500\n1181 / 1500\n1182 / 1500\n1183 / 1500\n1184 / 1500\n1185 / 1500\n1186 / 1500\n1187 / 1500\n1188 / 1500\n1189 / 1500\n1190 / 1500\n1191 / 1500\n1192 / 1500\n1193 / 1500\n1194 / 1500\n1195 / 1500\n1196 / 1500\n1197 / 1500\n1198 / 1500\n1199 / 1500\n1200 / 1500\n1201 / 1500\n1202 / 1500\n1203 / 1500\n1204 / 1500\n1205 / 1500\n1206 / 1500\n1207 / 1500\n1208 / 1500\n1209 / 1500\n1210 / 1500\n1211 / 1500\n1212 / 1500\n1213 / 1500\n1214 / 1500\n1215 / 1500\n1216 / 1500\n1217 / 1500\n1218 / 1500\n1219 / 1500\n1220 / 1500\n1221 / 1500\n1222 / 1500\n1223 / 1500\n1224 / 1500\n1225 / 1500\n1226 / 1500\n1227 / 1500\n1228 / 1500\n1229 / 1500\n1230 / 1500\n1231 / 1500\n1232 / 1500\n1233 / 1500\n1234 / 1500\n1235 / 1500\n1236 / 1500\n1237 / 1500\n1238 / 1500\n1239 / 1500\n1240 / 1500\n1241 / 1500\n1242 / 1500\n1243 / 1500\n1244 / 1500\n1245 / 1500\n1246 / 1500\n1247 / 1500\n1248 / 1500\n1249 / 1500\n1250 / 1500\n1251 / 1500\n1252 / 1500\n1253 / 1500\n1254 / 1500\n1255 / 1500\n1256 / 1500\n1257 / 1500\n1258 / 1500\n1259 / 1500\n1260 / 1500\n1261 / 1500\n1262 / 1500\n1263 / 1500\n1264 / 1500\n1265 / 1500\n1266 / 1500\n1267 / 1500\n1268 / 1500\n1269 / 1500\n1270 / 1500\n1271 / 1500\n1272 / 1500\n1273 / 1500\n1274 / 1500\n1275 / 1500\n1276 / 1500\n1277 / 1500\n1278 / 1500\n1279 / 1500\n1280 / 1500\n1281 / 1500\n1282 / 1500\n1283 / 1500\n1284 / 1500\n1285 / 1500\n1286 / 1500\n1287 / 1500\n1288 / 1500\n1289 / 1500\n1290 / 1500\n1291 / 1500\n1292 / 1500\n1293 / 1500\n1294 / 1500\n1295 / 1500\n1296 / 1500\n1297 / 1500\n1298 / 1500\n1299 / 1500\n1300 / 1500\n1301 / 1500\n1302 / 1500\n1303 / 1500\n1304 / 1500\n1305 / 1500\n1306 / 1500\n1307 / 1500\n1308 / 1500\n1309 / 1500\n1310 / 1500\n1311 / 1500\n1312 / 1500\n1313 / 1500\n1314 / 1500\n1315 / 1500\n1316 / 1500\n1317 / 1500\n1318 / 1500\n1319 / 1500\n1320 / 1500\n1321 / 1500\n1322 / 1500\n1323 / 1500\n1324 / 1500\n1325 / 1500\n1326 / 1500\n1327 / 1500\n1328 / 1500\n1329 / 1500\n1330 / 1500\n1331 / 1500\n1332 / 1500\n1333 / 1500\n1334 / 1500\n1335 / 1500\n1336 / 1500\n1337 / 1500\n1338 / 1500\n1339 / 1500\n1340 / 1500\n1341 / 1500\n1342 / 1500\n1343 / 1500\n1344 / 1500\n1345 / 1500\n1346 / 1500\n1347 / 1500\n1348 / 1500\n1349 / 1500\n1350 / 1500\n1351 / 1500\n1352 / 1500\n1353 / 1500\n1354 / 1500\n1355 / 1500\n1356 / 1500\n1357 / 1500\n1358 / 1500\n1359 / 1500\n1360 / 1500\n1361 / 1500\n1362 / 1500\n1363 / 1500\n1364 / 1500\n1365 / 1500\n1366 / 1500\n1367 / 1500\n1368 / 1500\n1369 / 1500\n1370 / 1500\n1371 / 1500\n1372 / 1500\n1373 / 1500\n1374 / 1500\n1375 / 1500\n1376 / 1500\n1377 / 1500\n1378 / 1500\n1379 / 1500\n1380 / 1500\n1381 / 1500\n1382 / 1500\n1383 / 1500\n1384 / 1500\n1385 / 1500\n1386 / 1500\n1387 / 1500\n1388 / 1500\n1389 / 1500\n1390 / 1500\n1391 / 1500\n1392 / 1500\n1393 / 1500\n1394 / 1500\n1395 / 1500\n1396 / 1500\n1397 / 1500\n1398 / 1500\n1399 / 1500\n1400 / 1500\n1401 / 1500\n1402 / 1500\n1403 / 1500\n1404 / 1500\n1405 / 1500\n1406 / 1500\n1407 / 1500\n1408 / 1500\n1409 / 1500\n1410 / 1500\n1411 / 1500\n1412 / 1500\n1413 / 1500\n1414 / 1500\n1415 / 1500\n1416 / 1500\n1417 / 1500\n1418 / 1500\n1419 / 1500\n1420 / 1500\n1421 / 1500\n1422 / 1500\n1423 / 1500\n1424 / 1500\n1425 / 1500\n1426 / 1500\n1427 / 1500\n1428 / 1500\n1429 / 1500\n1430 / 1500\n1431 / 1500\n1432 / 1500\n1433 / 1500\n1434 / 1500\n1435 / 1500\n1436 / 1500\n1437 / 1500\n1438 / 1500\n1439 / 1500\n1440 / 1500\n1441 / 1500\n1442 / 1500\n1443 / 1500\n1444 / 1500\n1445 / 1500\n1446 / 1500\n1447 / 1500\n1448 / 1500\n1449 / 1500\n1450 / 1500\n1451 / 1500\n1452 / 1500\n1453 / 1500\n1454 / 1500\n1455 / 1500\n1456 / 1500\n1457 / 1500\n1458 / 1500\n1459 / 1500\n1460 / 1500\n1461 / 1500\n1462 / 1500\n1463 / 1500\n1464 / 1500\n1465 / 1500\n1466 / 1500\n1467 / 1500\n1468 / 1500\n1469 / 1500\n1470 / 1500\n1471 / 1500\n1472 / 1500\n1473 / 1500\n1474 / 1500\n1475 / 1500\n1476 / 1500\n1477 / 1500\n1478 / 1500\n1479 / 1500\n1480 / 1500\n1481 / 1500\n1482 / 1500\n1483 / 1500\n1484 / 1500\n1485 / 1500\n1486 / 1500\n1487 / 1500\n1488 / 1500\n1489 / 1500\n1490 / 1500\n1491 / 1500\n1492 / 1500\n1493 / 1500\n1494 / 1500\n1495 / 1500\n1496 / 1500\n1497 / 1500\n1498 / 1500\n1499 / 1500\n1500 / 1500\n1501 / 1500\n1502 / 1500\n1503 / 1500\nCLIPPING out happening with proba (a bit of clipping is okay): 1.1458333574410062e-05maximum scale: 1.2218445539474487", "metrics": { "predict_time": 97.217612, "total_time": 99.2063 }, "output": "https://replicate.delivery/pbxt/6Bs8SAUifJS3GS1EY2pJSgepnpFSkzdJY42lYN5L6cMJa5iSA/out.wav", "started_at": "2024-03-22T20:03:52.360494Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2jzz2pzbfbydhtgtkj52bkqxse", "cancel": "https://api.replicate.com/v1/predictions/2jzz2pzbfbydhtgtkj52bkqxse/cancel" }, "version": "a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0" }Generated inDownloading: 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100%|██████████| 236M/236M [00:01<00:00, 162MB/s] Using seed 1623552306 1 / 1500 2 / 1500 3 / 1500 4 / 1500 5 / 1500 6 / 1500 7 / 1500 8 / 1500 9 / 1500 10 / 1500 11 / 1500 12 / 1500 13 / 1500 14 / 1500 15 / 1500 16 / 1500 17 / 1500 18 / 1500 19 / 1500 20 / 1500 21 / 1500 22 / 1500 23 / 1500 24 / 1500 25 / 1500 26 / 1500 27 / 1500 28 / 1500 29 / 1500 30 / 1500 31 / 1500 32 / 1500 33 / 1500 34 / 1500 35 / 1500 36 / 1500 37 / 1500 38 / 1500 39 / 1500 40 / 1500 41 / 1500 42 / 1500 43 / 1500 44 / 1500 45 / 1500 46 / 1500 47 / 1500 48 / 1500 49 / 1500 50 / 1500 51 / 1500 52 / 1500 53 / 1500 54 / 1500 55 / 1500 56 / 1500 57 / 1500 58 / 1500 59 / 1500 60 / 1500 61 / 1500 62 / 1500 63 / 1500 64 / 1500 65 / 1500 66 / 1500 67 / 1500 68 / 1500 69 / 1500 70 / 1500 71 / 1500 72 / 1500 73 / 1500 74 / 1500 75 / 1500 76 / 1500 77 / 1500 78 / 1500 79 / 1500 80 / 1500 81 / 1500 82 / 1500 83 / 1500 84 / 1500 85 / 1500 86 / 1500 87 / 1500 88 / 1500 89 / 1500 90 / 1500 91 / 1500 92 / 1500 93 / 1500 94 / 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/ 1500 1422 / 1500 1423 / 1500 1424 / 1500 1425 / 1500 1426 / 1500 1427 / 1500 1428 / 1500 1429 / 1500 1430 / 1500 1431 / 1500 1432 / 1500 1433 / 1500 1434 / 1500 1435 / 1500 1436 / 1500 1437 / 1500 1438 / 1500 1439 / 1500 1440 / 1500 1441 / 1500 1442 / 1500 1443 / 1500 1444 / 1500 1445 / 1500 1446 / 1500 1447 / 1500 1448 / 1500 1449 / 1500 1450 / 1500 1451 / 1500 1452 / 1500 1453 / 1500 1454 / 1500 1455 / 1500 1456 / 1500 1457 / 1500 1458 / 1500 1459 / 1500 1460 / 1500 1461 / 1500 1462 / 1500 1463 / 1500 1464 / 1500 1465 / 1500 1466 / 1500 1467 / 1500 1468 / 1500 1469 / 1500 1470 / 1500 1471 / 1500 1472 / 1500 1473 / 1500 1474 / 1500 1475 / 1500 1476 / 1500 1477 / 1500 1478 / 1500 1479 / 1500 1480 / 1500 1481 / 1500 1482 / 1500 1483 / 1500 1484 / 1500 1485 / 1500 1486 / 1500 1487 / 1500 1488 / 1500 1489 / 1500 1490 / 1500 1491 / 1500 1492 / 1500 1493 / 1500 1494 / 1500 1495 / 1500 1496 / 1500 1497 / 1500 1498 / 1500 1499 / 1500 1500 / 1500 1501 / 1500 1502 / 1500 1503 / 1500 CLIPPING out happening with proba (a bit of clipping is okay): 1.1458333574410062e-05maximum scale: 1.2218445539474487Prediction
naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0ID2jzz2pzbfbydhtgtkj52bkqxseStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- top_k
- 250
- top_p
- 0
- prompt
- intense epic synthesizers party
- duration
- 30
- temperature
- 1
- continuation
- output_format
- wav
- continuation_start
- 0
- multi_band_diffusion
- normalization_strategy
- loudness
- classifier_free_guidance
- 3
{ "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", { input: { top_k: 250, top_p: 0, prompt: "intense epic synthesizers party", duration: 30, temperature: 1, continuation: false, output_format: "wav", continuation_start: 0, multi_band_diffusion: false, normalization_strategy: "loudness", classifier_free_guidance: 3 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", input={ "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": False, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": False, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", "input": { "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%00:00:000Stream Type LIVERemaining Time -00:00:0001x- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
{ "completed_at": "2024-03-22T20:05:29.578106Z", "created_at": "2024-03-22T20:03:50.371806Z", "data_removed": false, "error": null, "id": "2jzz2pzbfbydhtgtkj52bkqxse", "input": { "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }, "logs": "Downloading: \"https://replicate.delivery/pbxt/XYUW0e1C0ZzsASDSIZlJMmQbjXPYA04eGhOxEdkeZqmo1sFlA/trained_model.tar\" to /src/models/hub/checkpoints/trained_model.tar\n 0%| | 0.00/1.57G [00:00<?, ?B/s]\n 0%| | 7.85M/1.57G [00:00<00:20, 82.3MB/s]\n 1%|▏ | 20.3M/1.57G [00:00<00:15, 110MB/s] \n 2%|▏ | 34.0M/1.57G [00:00<00:13, 126MB/s]\n 3%|▎ | 46.0M/1.57G [00:00<00:13, 122MB/s]\n 4%|▎ | 57.7M/1.57G [00:00<00:13, 122MB/s]\n 4%|▍ | 70.2M/1.57G [00:00<00:12, 125MB/s]\n 5%|▌ | 84.0M/1.57G [00:00<00:12, 129MB/s]\n 6%|▌ | 96.3M/1.57G 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1500\n1327 / 1500\n1328 / 1500\n1329 / 1500\n1330 / 1500\n1331 / 1500\n1332 / 1500\n1333 / 1500\n1334 / 1500\n1335 / 1500\n1336 / 1500\n1337 / 1500\n1338 / 1500\n1339 / 1500\n1340 / 1500\n1341 / 1500\n1342 / 1500\n1343 / 1500\n1344 / 1500\n1345 / 1500\n1346 / 1500\n1347 / 1500\n1348 / 1500\n1349 / 1500\n1350 / 1500\n1351 / 1500\n1352 / 1500\n1353 / 1500\n1354 / 1500\n1355 / 1500\n1356 / 1500\n1357 / 1500\n1358 / 1500\n1359 / 1500\n1360 / 1500\n1361 / 1500\n1362 / 1500\n1363 / 1500\n1364 / 1500\n1365 / 1500\n1366 / 1500\n1367 / 1500\n1368 / 1500\n1369 / 1500\n1370 / 1500\n1371 / 1500\n1372 / 1500\n1373 / 1500\n1374 / 1500\n1375 / 1500\n1376 / 1500\n1377 / 1500\n1378 / 1500\n1379 / 1500\n1380 / 1500\n1381 / 1500\n1382 / 1500\n1383 / 1500\n1384 / 1500\n1385 / 1500\n1386 / 1500\n1387 / 1500\n1388 / 1500\n1389 / 1500\n1390 / 1500\n1391 / 1500\n1392 / 1500\n1393 / 1500\n1394 / 1500\n1395 / 1500\n1396 / 1500\n1397 / 1500\n1398 / 1500\n1399 / 1500\n1400 / 1500\n1401 / 1500\n1402 / 1500\n1403 / 1500\n1404 / 1500\n1405 / 1500\n1406 / 1500\n1407 / 1500\n1408 / 1500\n1409 / 1500\n1410 / 1500\n1411 / 1500\n1412 / 1500\n1413 / 1500\n1414 / 1500\n1415 / 1500\n1416 / 1500\n1417 / 1500\n1418 / 1500\n1419 / 1500\n1420 / 1500\n1421 / 1500\n1422 / 1500\n1423 / 1500\n1424 / 1500\n1425 / 1500\n1426 / 1500\n1427 / 1500\n1428 / 1500\n1429 / 1500\n1430 / 1500\n1431 / 1500\n1432 / 1500\n1433 / 1500\n1434 / 1500\n1435 / 1500\n1436 / 1500\n1437 / 1500\n1438 / 1500\n1439 / 1500\n1440 / 1500\n1441 / 1500\n1442 / 1500\n1443 / 1500\n1444 / 1500\n1445 / 1500\n1446 / 1500\n1447 / 1500\n1448 / 1500\n1449 / 1500\n1450 / 1500\n1451 / 1500\n1452 / 1500\n1453 / 1500\n1454 / 1500\n1455 / 1500\n1456 / 1500\n1457 / 1500\n1458 / 1500\n1459 / 1500\n1460 / 1500\n1461 / 1500\n1462 / 1500\n1463 / 1500\n1464 / 1500\n1465 / 1500\n1466 / 1500\n1467 / 1500\n1468 / 1500\n1469 / 1500\n1470 / 1500\n1471 / 1500\n1472 / 1500\n1473 / 1500\n1474 / 1500\n1475 / 1500\n1476 / 1500\n1477 / 1500\n1478 / 1500\n1479 / 1500\n1480 / 1500\n1481 / 1500\n1482 / 1500\n1483 / 1500\n1484 / 1500\n1485 / 1500\n1486 / 1500\n1487 / 1500\n1488 / 1500\n1489 / 1500\n1490 / 1500\n1491 / 1500\n1492 / 1500\n1493 / 1500\n1494 / 1500\n1495 / 1500\n1496 / 1500\n1497 / 1500\n1498 / 1500\n1499 / 1500\n1500 / 1500\n1501 / 1500\n1502 / 1500\n1503 / 1500\nCLIPPING out happening with proba (a bit of clipping is okay): 1.1458333574410062e-05maximum scale: 1.2218445539474487", "metrics": { "predict_time": 97.217612, "total_time": 99.2063 }, "output": "https://replicate.delivery/pbxt/6Bs8SAUifJS3GS1EY2pJSgepnpFSkzdJY42lYN5L6cMJa5iSA/out.wav", "started_at": "2024-03-22T20:03:52.360494Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2jzz2pzbfbydhtgtkj52bkqxse", "cancel": "https://api.replicate.com/v1/predictions/2jzz2pzbfbydhtgtkj52bkqxse/cancel" }, "version": "a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0" }Generated inDownloading: "https://replicate.delivery/pbxt/XYUW0e1C0ZzsASDSIZlJMmQbjXPYA04eGhOxEdkeZqmo1sFlA/trained_model.tar" to /src/models/hub/checkpoints/trained_model.tar 0%| | 0.00/1.57G [00:00<?, ?B/s] 0%| | 7.85M/1.57G [00:00<00:20, 82.3MB/s] 1%|▏ | 20.3M/1.57G [00:00<00:15, 110MB/s] 2%|▏ | 34.0M/1.57G [00:00<00:13, 126MB/s] 3%|▎ | 46.0M/1.57G [00:00<00:13, 122MB/s] 4%|▎ | 57.7M/1.57G [00:00<00:13, 122MB/s] 4%|▍ | 70.2M/1.57G [00:00<00:12, 125MB/s] 5%|▌ | 84.0M/1.57G [00:00<00:12, 129MB/s] 6%|▌ | 96.3M/1.57G [00:00<00:12, 128MB/s] 7%|▋ | 111M/1.57G [00:00<00:11, 136MB/s] 8%|▊ | 124M/1.57G [00:01<00:11, 134MB/s] 9%|▊ | 139M/1.57G [00:01<00:10, 140MB/s] 10%|▉ | 152M/1.57G [00:01<00:10, 141MB/s] 10%|█ | 166M/1.57G [00:01<00:11, 136MB/s] 11%|█ | 179M/1.57G [00:01<00:11, 135MB/s] 12%|█▏ | 192M/1.57G [00:01<00:10, 137MB/s] 13%|█▎ | 207M/1.57G [00:01<00:10, 140MB/s] 14%|█▍ | 221M/1.57G [00:01<00:10, 143MB/s] 15%|█▍ | 235M/1.57G [00:01<00:10, 142MB/s] 15%|█▌ | 248M/1.57G [00:01<00:10, 141MB/s] 16%|█▋ | 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100%|██████████| 236M/236M [00:01<00:00, 162MB/s] Using seed 1623552306 1 / 1500 2 / 1500 3 / 1500 4 / 1500 5 / 1500 6 / 1500 7 / 1500 8 / 1500 9 / 1500 10 / 1500 11 / 1500 12 / 1500 13 / 1500 14 / 1500 15 / 1500 16 / 1500 17 / 1500 18 / 1500 19 / 1500 20 / 1500 21 / 1500 22 / 1500 23 / 1500 24 / 1500 25 / 1500 26 / 1500 27 / 1500 28 / 1500 29 / 1500 30 / 1500 31 / 1500 32 / 1500 33 / 1500 34 / 1500 35 / 1500 36 / 1500 37 / 1500 38 / 1500 39 / 1500 40 / 1500 41 / 1500 42 / 1500 43 / 1500 44 / 1500 45 / 1500 46 / 1500 47 / 1500 48 / 1500 49 / 1500 50 / 1500 51 / 1500 52 / 1500 53 / 1500 54 / 1500 55 / 1500 56 / 1500 57 / 1500 58 / 1500 59 / 1500 60 / 1500 61 / 1500 62 / 1500 63 / 1500 64 / 1500 65 / 1500 66 / 1500 67 / 1500 68 / 1500 69 / 1500 70 / 1500 71 / 1500 72 / 1500 73 / 1500 74 / 1500 75 / 1500 76 / 1500 77 / 1500 78 / 1500 79 / 1500 80 / 1500 81 / 1500 82 / 1500 83 / 1500 84 / 1500 85 / 1500 86 / 1500 87 / 1500 88 / 1500 89 / 1500 90 / 1500 91 / 1500 92 / 1500 93 / 1500 94 / 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1500 1255 / 1500 1256 / 1500 1257 / 1500 1258 / 1500 1259 / 1500 1260 / 1500 1261 / 1500 1262 / 1500 1263 / 1500 1264 / 1500 1265 / 1500 1266 / 1500 1267 / 1500 1268 / 1500 1269 / 1500 1270 / 1500 1271 / 1500 1272 / 1500 1273 / 1500 1274 / 1500 1275 / 1500 1276 / 1500 1277 / 1500 1278 / 1500 1279 / 1500 1280 / 1500 1281 / 1500 1282 / 1500 1283 / 1500 1284 / 1500 1285 / 1500 1286 / 1500 1287 / 1500 1288 / 1500 1289 / 1500 1290 / 1500 1291 / 1500 1292 / 1500 1293 / 1500 1294 / 1500 1295 / 1500 1296 / 1500 1297 / 1500 1298 / 1500 1299 / 1500 1300 / 1500 1301 / 1500 1302 / 1500 1303 / 1500 1304 / 1500 1305 / 1500 1306 / 1500 1307 / 1500 1308 / 1500 1309 / 1500 1310 / 1500 1311 / 1500 1312 / 1500 1313 / 1500 1314 / 1500 1315 / 1500 1316 / 1500 1317 / 1500 1318 / 1500 1319 / 1500 1320 / 1500 1321 / 1500 1322 / 1500 1323 / 1500 1324 / 1500 1325 / 1500 1326 / 1500 1327 / 1500 1328 / 1500 1329 / 1500 1330 / 1500 1331 / 1500 1332 / 1500 1333 / 1500 1334 / 1500 1335 / 1500 1336 / 1500 1337 / 1500 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/ 1500 1422 / 1500 1423 / 1500 1424 / 1500 1425 / 1500 1426 / 1500 1427 / 1500 1428 / 1500 1429 / 1500 1430 / 1500 1431 / 1500 1432 / 1500 1433 / 1500 1434 / 1500 1435 / 1500 1436 / 1500 1437 / 1500 1438 / 1500 1439 / 1500 1440 / 1500 1441 / 1500 1442 / 1500 1443 / 1500 1444 / 1500 1445 / 1500 1446 / 1500 1447 / 1500 1448 / 1500 1449 / 1500 1450 / 1500 1451 / 1500 1452 / 1500 1453 / 1500 1454 / 1500 1455 / 1500 1456 / 1500 1457 / 1500 1458 / 1500 1459 / 1500 1460 / 1500 1461 / 1500 1462 / 1500 1463 / 1500 1464 / 1500 1465 / 1500 1466 / 1500 1467 / 1500 1468 / 1500 1469 / 1500 1470 / 1500 1471 / 1500 1472 / 1500 1473 / 1500 1474 / 1500 1475 / 1500 1476 / 1500 1477 / 1500 1478 / 1500 1479 / 1500 1480 / 1500 1481 / 1500 1482 / 1500 1483 / 1500 1484 / 1500 1485 / 1500 1486 / 1500 1487 / 1500 1488 / 1500 1489 / 1500 1490 / 1500 1491 / 1500 1492 / 1500 1493 / 1500 1494 / 1500 1495 / 1500 1496 / 1500 1497 / 1500 1498 / 1500 1499 / 1500 1500 / 1500 1501 / 1500 1502 / 1500 1503 / 1500 CLIPPING out happening with proba (a bit of clipping is okay): 1.1458333574410062e-05maximum scale: 1.2218445539474487Prediction
naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0ID2jzz2pzbfbydhtgtkj52bkqxseStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- top_k
- 250
- top_p
- 0
- prompt
- intense epic synthesizers party
- duration
- 30
- temperature
- 1
- continuation
- output_format
- wav
- continuation_start
- 0
- multi_band_diffusion
- normalization_strategy
- loudness
- classifier_free_guidance
- 3
{ "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; import fs from "node:fs"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", { input: { top_k: 250, top_p: 0, prompt: "intense epic synthesizers party", duration: 30, temperature: 1, continuation: false, output_format: "wav", continuation_start: 0, multi_band_diffusion: false, normalization_strategy: "loudness", classifier_free_guidance: 3 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", input={ "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": False, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": False, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } ) # To access the file URL: print(output.url()) #=> "http://example.com" # To write the file to disk: with open("my-image.png", "wb") as file: file.write(output.read())To learn more, take a look at the guide on getting started with Python.
Run naclonts/musicgen-experiment-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "naclonts/musicgen-experiment-1:a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0", "input": { "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%00:00:000Stream Type LIVERemaining Time -00:00:0001x- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
{ "completed_at": "2024-03-22T20:05:29.578106Z", "created_at": "2024-03-22T20:03:50.371806Z", "data_removed": false, "error": null, "id": "2jzz2pzbfbydhtgtkj52bkqxse", "input": { "top_k": 250, "top_p": 0, "prompt": "intense epic synthesizers party", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }, "logs": "Downloading: \"https://replicate.delivery/pbxt/XYUW0e1C0ZzsASDSIZlJMmQbjXPYA04eGhOxEdkeZqmo1sFlA/trained_model.tar\" to /src/models/hub/checkpoints/trained_model.tar\n 0%| | 0.00/1.57G [00:00<?, ?B/s]\n 0%| | 7.85M/1.57G [00:00<00:20, 82.3MB/s]\n 1%|▏ | 20.3M/1.57G [00:00<00:15, 110MB/s] \n 2%|▏ | 34.0M/1.57G [00:00<00:13, 126MB/s]\n 3%|▎ | 46.0M/1.57G [00:00<00:13, 122MB/s]\n 4%|▎ | 57.7M/1.57G [00:00<00:13, 122MB/s]\n 4%|▍ | 70.2M/1.57G [00:00<00:12, 125MB/s]\n 5%|▌ | 84.0M/1.57G [00:00<00:12, 129MB/s]\n 6%|▌ | 96.3M/1.57G 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1500\n1173 / 1500\n1174 / 1500\n1175 / 1500\n1176 / 1500\n1177 / 1500\n1178 / 1500\n1179 / 1500\n1180 / 1500\n1181 / 1500\n1182 / 1500\n1183 / 1500\n1184 / 1500\n1185 / 1500\n1186 / 1500\n1187 / 1500\n1188 / 1500\n1189 / 1500\n1190 / 1500\n1191 / 1500\n1192 / 1500\n1193 / 1500\n1194 / 1500\n1195 / 1500\n1196 / 1500\n1197 / 1500\n1198 / 1500\n1199 / 1500\n1200 / 1500\n1201 / 1500\n1202 / 1500\n1203 / 1500\n1204 / 1500\n1205 / 1500\n1206 / 1500\n1207 / 1500\n1208 / 1500\n1209 / 1500\n1210 / 1500\n1211 / 1500\n1212 / 1500\n1213 / 1500\n1214 / 1500\n1215 / 1500\n1216 / 1500\n1217 / 1500\n1218 / 1500\n1219 / 1500\n1220 / 1500\n1221 / 1500\n1222 / 1500\n1223 / 1500\n1224 / 1500\n1225 / 1500\n1226 / 1500\n1227 / 1500\n1228 / 1500\n1229 / 1500\n1230 / 1500\n1231 / 1500\n1232 / 1500\n1233 / 1500\n1234 / 1500\n1235 / 1500\n1236 / 1500\n1237 / 1500\n1238 / 1500\n1239 / 1500\n1240 / 1500\n1241 / 1500\n1242 / 1500\n1243 / 1500\n1244 / 1500\n1245 / 1500\n1246 / 1500\n1247 / 1500\n1248 / 1500\n1249 / 1500\n1250 / 1500\n1251 / 1500\n1252 / 1500\n1253 / 1500\n1254 / 1500\n1255 / 1500\n1256 / 1500\n1257 / 1500\n1258 / 1500\n1259 / 1500\n1260 / 1500\n1261 / 1500\n1262 / 1500\n1263 / 1500\n1264 / 1500\n1265 / 1500\n1266 / 1500\n1267 / 1500\n1268 / 1500\n1269 / 1500\n1270 / 1500\n1271 / 1500\n1272 / 1500\n1273 / 1500\n1274 / 1500\n1275 / 1500\n1276 / 1500\n1277 / 1500\n1278 / 1500\n1279 / 1500\n1280 / 1500\n1281 / 1500\n1282 / 1500\n1283 / 1500\n1284 / 1500\n1285 / 1500\n1286 / 1500\n1287 / 1500\n1288 / 1500\n1289 / 1500\n1290 / 1500\n1291 / 1500\n1292 / 1500\n1293 / 1500\n1294 / 1500\n1295 / 1500\n1296 / 1500\n1297 / 1500\n1298 / 1500\n1299 / 1500\n1300 / 1500\n1301 / 1500\n1302 / 1500\n1303 / 1500\n1304 / 1500\n1305 / 1500\n1306 / 1500\n1307 / 1500\n1308 / 1500\n1309 / 1500\n1310 / 1500\n1311 / 1500\n1312 / 1500\n1313 / 1500\n1314 / 1500\n1315 / 1500\n1316 / 1500\n1317 / 1500\n1318 / 1500\n1319 / 1500\n1320 / 1500\n1321 / 1500\n1322 / 1500\n1323 / 1500\n1324 / 1500\n1325 / 1500\n1326 / 1500\n1327 / 1500\n1328 / 1500\n1329 / 1500\n1330 / 1500\n1331 / 1500\n1332 / 1500\n1333 / 1500\n1334 / 1500\n1335 / 1500\n1336 / 1500\n1337 / 1500\n1338 / 1500\n1339 / 1500\n1340 / 1500\n1341 / 1500\n1342 / 1500\n1343 / 1500\n1344 / 1500\n1345 / 1500\n1346 / 1500\n1347 / 1500\n1348 / 1500\n1349 / 1500\n1350 / 1500\n1351 / 1500\n1352 / 1500\n1353 / 1500\n1354 / 1500\n1355 / 1500\n1356 / 1500\n1357 / 1500\n1358 / 1500\n1359 / 1500\n1360 / 1500\n1361 / 1500\n1362 / 1500\n1363 / 1500\n1364 / 1500\n1365 / 1500\n1366 / 1500\n1367 / 1500\n1368 / 1500\n1369 / 1500\n1370 / 1500\n1371 / 1500\n1372 / 1500\n1373 / 1500\n1374 / 1500\n1375 / 1500\n1376 / 1500\n1377 / 1500\n1378 / 1500\n1379 / 1500\n1380 / 1500\n1381 / 1500\n1382 / 1500\n1383 / 1500\n1384 / 1500\n1385 / 1500\n1386 / 1500\n1387 / 1500\n1388 / 1500\n1389 / 1500\n1390 / 1500\n1391 / 1500\n1392 / 1500\n1393 / 1500\n1394 / 1500\n1395 / 1500\n1396 / 1500\n1397 / 1500\n1398 / 1500\n1399 / 1500\n1400 / 1500\n1401 / 1500\n1402 / 1500\n1403 / 1500\n1404 / 1500\n1405 / 1500\n1406 / 1500\n1407 / 1500\n1408 / 1500\n1409 / 1500\n1410 / 1500\n1411 / 1500\n1412 / 1500\n1413 / 1500\n1414 / 1500\n1415 / 1500\n1416 / 1500\n1417 / 1500\n1418 / 1500\n1419 / 1500\n1420 / 1500\n1421 / 1500\n1422 / 1500\n1423 / 1500\n1424 / 1500\n1425 / 1500\n1426 / 1500\n1427 / 1500\n1428 / 1500\n1429 / 1500\n1430 / 1500\n1431 / 1500\n1432 / 1500\n1433 / 1500\n1434 / 1500\n1435 / 1500\n1436 / 1500\n1437 / 1500\n1438 / 1500\n1439 / 1500\n1440 / 1500\n1441 / 1500\n1442 / 1500\n1443 / 1500\n1444 / 1500\n1445 / 1500\n1446 / 1500\n1447 / 1500\n1448 / 1500\n1449 / 1500\n1450 / 1500\n1451 / 1500\n1452 / 1500\n1453 / 1500\n1454 / 1500\n1455 / 1500\n1456 / 1500\n1457 / 1500\n1458 / 1500\n1459 / 1500\n1460 / 1500\n1461 / 1500\n1462 / 1500\n1463 / 1500\n1464 / 1500\n1465 / 1500\n1466 / 1500\n1467 / 1500\n1468 / 1500\n1469 / 1500\n1470 / 1500\n1471 / 1500\n1472 / 1500\n1473 / 1500\n1474 / 1500\n1475 / 1500\n1476 / 1500\n1477 / 1500\n1478 / 1500\n1479 / 1500\n1480 / 1500\n1481 / 1500\n1482 / 1500\n1483 / 1500\n1484 / 1500\n1485 / 1500\n1486 / 1500\n1487 / 1500\n1488 / 1500\n1489 / 1500\n1490 / 1500\n1491 / 1500\n1492 / 1500\n1493 / 1500\n1494 / 1500\n1495 / 1500\n1496 / 1500\n1497 / 1500\n1498 / 1500\n1499 / 1500\n1500 / 1500\n1501 / 1500\n1502 / 1500\n1503 / 1500\nCLIPPING out happening with proba (a bit of clipping is okay): 1.1458333574410062e-05maximum scale: 1.2218445539474487", "metrics": { "predict_time": 97.217612, "total_time": 99.2063 }, "output": "https://replicate.delivery/pbxt/6Bs8SAUifJS3GS1EY2pJSgepnpFSkzdJY42lYN5L6cMJa5iSA/out.wav", "started_at": "2024-03-22T20:03:52.360494Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2jzz2pzbfbydhtgtkj52bkqxse", "cancel": "https://api.replicate.com/v1/predictions/2jzz2pzbfbydhtgtkj52bkqxse/cancel" }, "version": "a1f974b5a7e9d1166c6dfaabf9bdd0ee1e976df7335ec13269668a4e2f0342b0" }Generated inDownloading: "https://replicate.delivery/pbxt/XYUW0e1C0ZzsASDSIZlJMmQbjXPYA04eGhOxEdkeZqmo1sFlA/trained_model.tar" to /src/models/hub/checkpoints/trained_model.tar 0%| | 0.00/1.57G [00:00<?, ?B/s] 0%| | 7.85M/1.57G [00:00<00:20, 82.3MB/s] 1%|▏ | 20.3M/1.57G [00:00<00:15, 110MB/s] 2%|▏ | 34.0M/1.57G [00:00<00:13, 126MB/s] 3%|▎ | 46.0M/1.57G [00:00<00:13, 122MB/s] 4%|▎ | 57.7M/1.57G [00:00<00:13, 122MB/s] 4%|▍ | 70.2M/1.57G [00:00<00:12, 125MB/s] 5%|▌ | 84.0M/1.57G [00:00<00:12, 129MB/s] 6%|▌ | 96.3M/1.57G [00:00<00:12, 128MB/s] 7%|▋ | 111M/1.57G [00:00<00:11, 136MB/s] 8%|▊ | 124M/1.57G [00:01<00:11, 134MB/s] 9%|▊ | 139M/1.57G [00:01<00:10, 140MB/s] 10%|▉ | 152M/1.57G [00:01<00:10, 141MB/s] 10%|█ | 166M/1.57G [00:01<00:11, 136MB/s] 11%|█ | 179M/1.57G [00:01<00:11, 135MB/s] 12%|█▏ | 192M/1.57G [00:01<00:10, 137MB/s] 13%|█▎ | 207M/1.57G [00:01<00:10, 140MB/s] 14%|█▍ | 221M/1.57G [00:01<00:10, 143MB/s] 15%|█▍ | 235M/1.57G [00:01<00:10, 142MB/s] 15%|█▌ | 248M/1.57G [00:01<00:10, 141MB/s] 16%|█▋ | 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100%|██████████| 758/758 [00:00<00:00, 417kB/s] Downloading model.safetensors: 0%| | 0.00/236M [00:00<?, ?B/s] Downloading model.safetensors: 4%|▍ | 10.5M/236M [00:00<00:05, 39.5MB/s] Downloading model.safetensors: 13%|█▎ | 31.5M/236M [00:00<00:02, 95.7MB/s] Downloading model.safetensors: 22%|██▏ | 52.4M/236M [00:00<00:01, 129MB/s] Downloading model.safetensors: 31%|███ | 73.4M/236M [00:00<00:01, 150MB/s] Downloading model.safetensors: 40%|███▉ | 94.4M/236M [00:00<00:00, 164MB/s] Downloading model.safetensors: 49%|████▉ | 115M/236M [00:00<00:00, 174MB/s] Downloading model.safetensors: 58%|█████▊ | 136M/236M [00:00<00:00, 179MB/s] Downloading model.safetensors: 67%|██████▋ | 157M/236M [00:01<00:00, 183MB/s] Downloading model.safetensors: 76%|███████▌ | 178M/236M [00:01<00:00, 185MB/s] Downloading model.safetensors: 84%|████████▍ | 199M/236M [00:01<00:00, 188MB/s] Downloading model.safetensors: 93%|█████████▎| 220M/236M [00:01<00:00, 188MB/s] Downloading model.safetensors: 100%|██████████| 236M/236M [00:01<00:00, 162MB/s] Using seed 1623552306 1 / 1500 2 / 1500 3 / 1500 4 / 1500 5 / 1500 6 / 1500 7 / 1500 8 / 1500 9 / 1500 10 / 1500 11 / 1500 12 / 1500 13 / 1500 14 / 1500 15 / 1500 16 / 1500 17 / 1500 18 / 1500 19 / 1500 20 / 1500 21 / 1500 22 / 1500 23 / 1500 24 / 1500 25 / 1500 26 / 1500 27 / 1500 28 / 1500 29 / 1500 30 / 1500 31 / 1500 32 / 1500 33 / 1500 34 / 1500 35 / 1500 36 / 1500 37 / 1500 38 / 1500 39 / 1500 40 / 1500 41 / 1500 42 / 1500 43 / 1500 44 / 1500 45 / 1500 46 / 1500 47 / 1500 48 / 1500 49 / 1500 50 / 1500 51 / 1500 52 / 1500 53 / 1500 54 / 1500 55 / 1500 56 / 1500 57 / 1500 58 / 1500 59 / 1500 60 / 1500 61 / 1500 62 / 1500 63 / 1500 64 / 1500 65 / 1500 66 / 1500 67 / 1500 68 / 1500 69 / 1500 70 / 1500 71 / 1500 72 / 1500 73 / 1500 74 / 1500 75 / 1500 76 / 1500 77 / 1500 78 / 1500 79 / 1500 80 / 1500 81 / 1500 82 / 1500 83 / 1500 84 / 1500 85 / 1500 86 / 1500 87 / 1500 88 / 1500 89 / 1500 90 / 1500 91 / 1500 92 / 1500 93 / 1500 94 / 1500 95 / 1500 96 / 1500 97 / 1500 98 / 1500 99 / 1500 100 / 1500 101 / 1500 102 / 1500 103 / 1500 104 / 1500 105 / 1500 106 / 1500 107 / 1500 108 / 1500 109 / 1500 110 / 1500 111 / 1500 112 / 1500 113 / 1500 114 / 1500 115 / 1500 116 / 1500 117 / 1500 118 / 1500 119 / 1500 120 / 1500 121 / 1500 122 / 1500 123 / 1500 124 / 1500 125 / 1500 126 / 1500 127 / 1500 128 / 1500 129 / 1500 130 / 1500 131 / 1500 132 / 1500 133 / 1500 134 / 1500 135 / 1500 136 / 1500 137 / 1500 138 / 1500 139 / 1500 140 / 1500 141 / 1500 142 / 1500 143 / 1500 144 / 1500 145 / 1500 146 / 1500 147 / 1500 148 / 1500 149 / 1500 150 / 1500 151 / 1500 152 / 1500 153 / 1500 154 / 1500 155 / 1500 156 / 1500 157 / 1500 158 / 1500 159 / 1500 160 / 1500 161 / 1500 162 / 1500 163 / 1500 164 / 1500 165 / 1500 166 / 1500 167 / 1500 168 / 1500 169 / 1500 170 / 1500 171 / 1500 172 / 1500 173 / 1500 174 / 1500 175 / 1500 176 / 1500 177 / 1500 178 / 1500 179 / 1500 180 / 1500 181 / 1500 182 / 1500 183 / 1500 184 / 1500 185 / 1500 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/ 1500 1422 / 1500 1423 / 1500 1424 / 1500 1425 / 1500 1426 / 1500 1427 / 1500 1428 / 1500 1429 / 1500 1430 / 1500 1431 / 1500 1432 / 1500 1433 / 1500 1434 / 1500 1435 / 1500 1436 / 1500 1437 / 1500 1438 / 1500 1439 / 1500 1440 / 1500 1441 / 1500 1442 / 1500 1443 / 1500 1444 / 1500 1445 / 1500 1446 / 1500 1447 / 1500 1448 / 1500 1449 / 1500 1450 / 1500 1451 / 1500 1452 / 1500 1453 / 1500 1454 / 1500 1455 / 1500 1456 / 1500 1457 / 1500 1458 / 1500 1459 / 1500 1460 / 1500 1461 / 1500 1462 / 1500 1463 / 1500 1464 / 1500 1465 / 1500 1466 / 1500 1467 / 1500 1468 / 1500 1469 / 1500 1470 / 1500 1471 / 1500 1472 / 1500 1473 / 1500 1474 / 1500 1475 / 1500 1476 / 1500 1477 / 1500 1478 / 1500 1479 / 1500 1480 / 1500 1481 / 1500 1482 / 1500 1483 / 1500 1484 / 1500 1485 / 1500 1486 / 1500 1487 / 1500 1488 / 1500 1489 / 1500 1490 / 1500 1491 / 1500 1492 / 1500 1493 / 1500 1494 / 1500 1495 / 1500 1496 / 1500 1497 / 1500 1498 / 1500 1499 / 1500 1500 / 1500 1501 / 1500 1502 / 1500 1503 / 1500 CLIPPING out happening with proba (a bit of clipping is okay): 1.1458333574410062e-05maximum scale: 1.2218445539474487
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