fofr
/
musicgen-xmas
MusicGen stereo fine-tuned on Xmas music
- Public
- 182 runs
-
L40S
Prediction
fofr/musicgen-xmas:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0IDwaq77wrbjb5uvhlhjebll6ir24StatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedby @fofrInput
- top_k
- 250
- top_p
- 0
- prompt
- xmas, bells, friendly, beautiful, uplifting
- 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": "xmas, bells, friendly, beautiful, uplifting", "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"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/musicgen-xmas using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/musicgen-xmas:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0", { input: { top_k: 250, top_p: 0, prompt: "xmas, bells, friendly, beautiful, uplifting", 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 fofr/musicgen-xmas using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/musicgen-xmas:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0", input={ "top_k": 250, "top_p": 0, "prompt": "xmas, bells, friendly, beautiful, uplifting", "duration": 30, "temperature": 1, "continuation": False, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": False, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/musicgen-xmas 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": "60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0", "input": { "top_k": 250, "top_p": 0, "prompt": "xmas, bells, friendly, beautiful, uplifting", "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.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/fofr/musicgen-xmas@sha256:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0 \ -i 'top_k=250' \ -i 'top_p=0' \ -i 'prompt="xmas, bells, friendly, beautiful, uplifting"' \ -i 'duration=30' \ -i 'temperature=1' \ -i 'continuation=false' \ -i 'output_format="wav"' \ -i 'continuation_start=0' \ -i 'multi_band_diffusion=false' \ -i 'normalization_strategy="loudness"' \ -i 'classifier_free_guidance=3'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/fofr/musicgen-xmas@sha256:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "top_k": 250, "top_p": 0, "prompt": "xmas, bells, friendly, beautiful, uplifting", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
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": "2023-12-04T11:15:38.204577Z", "created_at": "2023-12-04T11:13:14.993931Z", "data_removed": false, "error": null, "id": "waq77wrbjb5uvhlhjebll6ir24", "input": { "top_k": 250, "top_p": 0, "prompt": "xmas, bells, friendly, beautiful, uplifting", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }, "logs": "Fine-tuned model weights hot-swapped!\nUsing seed 1279041090\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 / 1500\n18 / 1500\n19 / 1500\n20 / 1500\n21 / 1500\n22 / 1500\n23 / 1500\n24 / 1500\n25 / 1500\n26 / 1500\n27 / 1500\n28 / 1500\n29 / 1500\n30 / 1500\n31 / 1500\n32 / 1500\n33 / 1500\n34 / 1500\n35 / 1500\n36 / 1500\n37 / 1500\n38 / 1500\n39 / 1500\n40 / 1500\n41 / 1500\n42 / 1500\n43 / 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/ 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 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/ 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", "metrics": { "predict_time": 142.947939, "total_time": 143.210646 }, "output": "https://replicate.delivery/pbxt/0dPXijEsh8JEAVXxKqaKlNyPztWWNBu72Xf6w0nteUey2s9jA/out.wav", "started_at": "2023-12-04T11:13:15.256638Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/waq77wrbjb5uvhlhjebll6ir24", "cancel": "https://api.replicate.com/v1/predictions/waq77wrbjb5uvhlhjebll6ir24/cancel" }, "version": "60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0" }Generated inFine-tuned model weights hot-swapped! Using seed 1279041090 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 / 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/ 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 / 1500Prediction
fofr/musicgen-xmas:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0IDo55fjtbba5oy55llyiekrmlc2qStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- top_k
- 250
- top_p
- 0
- prompt
- xmas 50s jazz
- duration
- 8
- 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": "xmas 50s jazz", "duration": 8, "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"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/musicgen-xmas using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/musicgen-xmas:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0", { input: { top_k: 250, top_p: 0, prompt: "xmas 50s jazz", duration: 8, 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 fofr/musicgen-xmas using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/musicgen-xmas:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0", input={ "top_k": 250, "top_p": 0, "prompt": "xmas 50s jazz", "duration": 8, "temperature": 1, "continuation": False, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": False, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/musicgen-xmas 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": "60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0", "input": { "top_k": 250, "top_p": 0, "prompt": "xmas 50s jazz", "duration": 8, "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.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/fofr/musicgen-xmas@sha256:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0 \ -i 'top_k=250' \ -i 'top_p=0' \ -i 'prompt="xmas 50s jazz"' \ -i 'duration=8' \ -i 'temperature=1' \ -i 'continuation=false' \ -i 'output_format="wav"' \ -i 'continuation_start=0' \ -i 'multi_band_diffusion=false' \ -i 'normalization_strategy="loudness"' \ -i 'classifier_free_guidance=3'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/fofr/musicgen-xmas@sha256:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "top_k": 250, "top_p": 0, "prompt": "xmas 50s jazz", "duration": 8, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
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": "2023-12-04T11:41:07.557720Z", "created_at": "2023-12-04T11:40:22.791583Z", "data_removed": false, "error": null, "id": "o55fjtbba5oy55llyiekrmlc2q", "input": { "top_k": 250, "top_p": 0, "prompt": "xmas 50s jazz", "duration": 8, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }, "logs": "Fine-tuned model weights hot-swapped!\nUsing seed 4279159993\n1 / 400\n2 / 400\n3 / 400\n4 / 400\n5 / 400\n6 / 400\n7 / 400\n8 / 400\n9 / 400\n10 / 400\n11 / 400\n12 / 400\n13 / 400\n14 / 400\n15 / 400\n16 / 400\n17 / 400\n18 / 400\n19 / 400\n20 / 400\n21 / 400\n22 / 400\n23 / 400\n24 / 400\n25 / 400\n26 / 400\n27 / 400\n28 / 400\n29 / 400\n30 / 400\n31 / 400\n32 / 400\n33 / 400\n34 / 400\n35 / 400\n36 / 400\n37 / 400\n38 / 400\n39 / 400\n40 / 400\n41 / 400\n42 / 400\n43 / 400\n44 / 400\n45 / 400\n46 / 400\n47 / 400\n48 / 400\n49 / 400\n50 / 400\n51 / 400\n52 / 400\n53 / 400\n54 / 400\n55 / 400\n56 / 400\n57 / 400\n58 / 400\n59 / 400\n60 / 400\n61 / 400\n62 / 400\n63 / 400\n64 / 400\n65 / 400\n66 / 400\n67 / 400\n68 / 400\n69 / 400\n70 / 400\n71 / 400\n72 / 400\n73 / 400\n74 / 400\n75 / 400\n76 / 400\n77 / 400\n78 / 400\n79 / 400\n80 / 400\n81 / 400\n82 / 400\n83 / 400\n84 / 400\n85 / 400\n86 / 400\n87 / 400\n88 / 400\n89 / 400\n90 / 400\n91 / 400\n92 / 400\n93 / 400\n94 / 400\n95 / 400\n96 / 400\n97 / 400\n98 / 400\n99 / 400\n100 / 400\n101 / 400\n102 / 400\n103 / 400\n104 / 400\n105 / 400\n106 / 400\n107 / 400\n108 / 400\n109 / 400\n110 / 400\n111 / 400\n112 / 400\n113 / 400\n114 / 400\n115 / 400\n116 / 400\n117 / 400\n118 / 400\n119 / 400\n120 / 400\n121 / 400\n122 / 400\n123 / 400\n124 / 400\n125 / 400\n126 / 400\n127 / 400\n128 / 400\n129 / 400\n130 / 400\n131 / 400\n132 / 400\n133 / 400\n134 / 400\n135 / 400\n136 / 400\n137 / 400\n138 / 400\n139 / 400\n140 / 400\n141 / 400\n142 / 400\n143 / 400\n144 / 400\n145 / 400\n146 / 400\n147 / 400\n148 / 400\n149 / 400\n150 / 400\n151 / 400\n152 / 400\n153 / 400\n154 / 400\n155 / 400\n156 / 400\n157 / 400\n158 / 400\n159 / 400\n160 / 400\n161 / 400\n162 / 400\n163 / 400\n164 / 400\n165 / 400\n166 / 400\n167 / 400\n168 / 400\n169 / 400\n170 / 400\n171 / 400\n172 / 400\n173 / 400\n174 / 400\n175 / 400\n176 / 400\n177 / 400\n178 / 400\n179 / 400\n180 / 400\n181 / 400\n182 / 400\n183 / 400\n184 / 400\n185 / 400\n186 / 400\n187 / 400\n188 / 400\n189 / 400\n190 / 400\n191 / 400\n192 / 400\n193 / 400\n194 / 400\n195 / 400\n196 / 400\n197 / 400\n198 / 400\n199 / 400\n200 / 400\n201 / 400\n202 / 400\n203 / 400\n204 / 400\n205 / 400\n206 / 400\n207 / 400\n208 / 400\n209 / 400\n210 / 400\n211 / 400\n212 / 400\n213 / 400\n214 / 400\n215 / 400\n216 / 400\n217 / 400\n218 / 400\n219 / 400\n220 / 400\n221 / 400\n222 / 400\n223 / 400\n224 / 400\n225 / 400\n226 / 400\n227 / 400\n228 / 400\n229 / 400\n230 / 400\n231 / 400\n232 / 400\n233 / 400\n234 / 400\n235 / 400\n236 / 400\n237 / 400\n238 / 400\n239 / 400\n240 / 400\n241 / 400\n242 / 400\n243 / 400\n244 / 400\n245 / 400\n246 / 400\n247 / 400\n248 / 400\n249 / 400\n250 / 400\n251 / 400\n252 / 400\n253 / 400\n254 / 400\n255 / 400\n256 / 400\n257 / 400\n258 / 400\n259 / 400\n260 / 400\n261 / 400\n262 / 400\n263 / 400\n264 / 400\n265 / 400\n266 / 400\n267 / 400\n268 / 400\n269 / 400\n270 / 400\n271 / 400\n272 / 400\n273 / 400\n274 / 400\n275 / 400\n276 / 400\n277 / 400\n278 / 400\n279 / 400\n280 / 400\n281 / 400\n282 / 400\n283 / 400\n284 / 400\n285 / 400\n286 / 400\n287 / 400\n288 / 400\n289 / 400\n290 / 400\n291 / 400\n292 / 400\n293 / 400\n294 / 400\n295 / 400\n296 / 400\n297 / 400\n298 / 400\n299 / 400\n300 / 400\n301 / 400\n302 / 400\n303 / 400\n304 / 400\n305 / 400\n306 / 400\n307 / 400\n308 / 400\n309 / 400\n310 / 400\n311 / 400\n312 / 400\n313 / 400\n314 / 400\n315 / 400\n316 / 400\n317 / 400\n318 / 400\n319 / 400\n320 / 400\n321 / 400\n322 / 400\n323 / 400\n324 / 400\n325 / 400\n326 / 400\n327 / 400\n328 / 400\n329 / 400\n330 / 400\n331 / 400\n332 / 400\n333 / 400\n334 / 400\n335 / 400\n336 / 400\n337 / 400\n338 / 400\n339 / 400\n340 / 400\n341 / 400\n342 / 400\n343 / 400\n344 / 400\n345 / 400\n346 / 400\n347 / 400\n348 / 400\n349 / 400\n350 / 400\n351 / 400\n352 / 400\n353 / 400\n354 / 400\n355 / 400\n356 / 400\n357 / 400\n358 / 400\n359 / 400\n360 / 400\n361 / 400\n362 / 400\n363 / 400\n364 / 400\n365 / 400\n366 / 400\n367 / 400\n368 / 400\n369 / 400\n370 / 400\n371 / 400\n372 / 400\n373 / 400\n374 / 400\n375 / 400\n376 / 400\n377 / 400\n378 / 400\n379 / 400\n380 / 400\n381 / 400\n382 / 400\n383 / 400\n384 / 400\n385 / 400\n386 / 400\n387 / 400\n388 / 400\n389 / 400\n390 / 400\n391 / 400\n392 / 400\n393 / 400\n394 / 400\n395 / 400\n396 / 400\n397 / 400\n398 / 400\n399 / 400\n400 / 400\n401 / 400\n402 / 400\n403 / 400\nCLIPPING out happening with proba (a bit of clipping is okay): 0.00018359374371357262 maximum scale: 1.1570630073547363", "metrics": { "predict_time": 44.026028, "total_time": 44.766137 }, "output": "https://replicate.delivery/pbxt/Jude3rOBLQx7dyxnf99J83KhJIpBcOLanAMH1bcMMdUSz2ejA/out.wav", "started_at": "2023-12-04T11:40:23.531692Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/o55fjtbba5oy55llyiekrmlc2q", "cancel": "https://api.replicate.com/v1/predictions/o55fjtbba5oy55llyiekrmlc2q/cancel" }, "version": "60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0" }Generated inFine-tuned model weights hot-swapped! Using seed 4279159993 1 / 400 2 / 400 3 / 400 4 / 400 5 / 400 6 / 400 7 / 400 8 / 400 9 / 400 10 / 400 11 / 400 12 / 400 13 / 400 14 / 400 15 / 400 16 / 400 17 / 400 18 / 400 19 / 400 20 / 400 21 / 400 22 / 400 23 / 400 24 / 400 25 / 400 26 / 400 27 / 400 28 / 400 29 / 400 30 / 400 31 / 400 32 / 400 33 / 400 34 / 400 35 / 400 36 / 400 37 / 400 38 / 400 39 / 400 40 / 400 41 / 400 42 / 400 43 / 400 44 / 400 45 / 400 46 / 400 47 / 400 48 / 400 49 / 400 50 / 400 51 / 400 52 / 400 53 / 400 54 / 400 55 / 400 56 / 400 57 / 400 58 / 400 59 / 400 60 / 400 61 / 400 62 / 400 63 / 400 64 / 400 65 / 400 66 / 400 67 / 400 68 / 400 69 / 400 70 / 400 71 / 400 72 / 400 73 / 400 74 / 400 75 / 400 76 / 400 77 / 400 78 / 400 79 / 400 80 / 400 81 / 400 82 / 400 83 / 400 84 / 400 85 / 400 86 / 400 87 / 400 88 / 400 89 / 400 90 / 400 91 / 400 92 / 400 93 / 400 94 / 400 95 / 400 96 / 400 97 / 400 98 / 400 99 / 400 100 / 400 101 / 400 102 / 400 103 / 400 104 / 400 105 / 400 106 / 400 107 / 400 108 / 400 109 / 400 110 / 400 111 / 400 112 / 400 113 / 400 114 / 400 115 / 400 116 / 400 117 / 400 118 / 400 119 / 400 120 / 400 121 / 400 122 / 400 123 / 400 124 / 400 125 / 400 126 / 400 127 / 400 128 / 400 129 / 400 130 / 400 131 / 400 132 / 400 133 / 400 134 / 400 135 / 400 136 / 400 137 / 400 138 / 400 139 / 400 140 / 400 141 / 400 142 / 400 143 / 400 144 / 400 145 / 400 146 / 400 147 / 400 148 / 400 149 / 400 150 / 400 151 / 400 152 / 400 153 / 400 154 / 400 155 / 400 156 / 400 157 / 400 158 / 400 159 / 400 160 / 400 161 / 400 162 / 400 163 / 400 164 / 400 165 / 400 166 / 400 167 / 400 168 / 400 169 / 400 170 / 400 171 / 400 172 / 400 173 / 400 174 / 400 175 / 400 176 / 400 177 / 400 178 / 400 179 / 400 180 / 400 181 / 400 182 / 400 183 / 400 184 / 400 185 / 400 186 / 400 187 / 400 188 / 400 189 / 400 190 / 400 191 / 400 192 / 400 193 / 400 194 / 400 195 / 400 196 / 400 197 / 400 198 / 400 199 / 400 200 / 400 201 / 400 202 / 400 203 / 400 204 / 400 205 / 400 206 / 400 207 / 400 208 / 400 209 / 400 210 / 400 211 / 400 212 / 400 213 / 400 214 / 400 215 / 400 216 / 400 217 / 400 218 / 400 219 / 400 220 / 400 221 / 400 222 / 400 223 / 400 224 / 400 225 / 400 226 / 400 227 / 400 228 / 400 229 / 400 230 / 400 231 / 400 232 / 400 233 / 400 234 / 400 235 / 400 236 / 400 237 / 400 238 / 400 239 / 400 240 / 400 241 / 400 242 / 400 243 / 400 244 / 400 245 / 400 246 / 400 247 / 400 248 / 400 249 / 400 250 / 400 251 / 400 252 / 400 253 / 400 254 / 400 255 / 400 256 / 400 257 / 400 258 / 400 259 / 400 260 / 400 261 / 400 262 / 400 263 / 400 264 / 400 265 / 400 266 / 400 267 / 400 268 / 400 269 / 400 270 / 400 271 / 400 272 / 400 273 / 400 274 / 400 275 / 400 276 / 400 277 / 400 278 / 400 279 / 400 280 / 400 281 / 400 282 / 400 283 / 400 284 / 400 285 / 400 286 / 400 287 / 400 288 / 400 289 / 400 290 / 400 291 / 400 292 / 400 293 / 400 294 / 400 295 / 400 296 / 400 297 / 400 298 / 400 299 / 400 300 / 400 301 / 400 302 / 400 303 / 400 304 / 400 305 / 400 306 / 400 307 / 400 308 / 400 309 / 400 310 / 400 311 / 400 312 / 400 313 / 400 314 / 400 315 / 400 316 / 400 317 / 400 318 / 400 319 / 400 320 / 400 321 / 400 322 / 400 323 / 400 324 / 400 325 / 400 326 / 400 327 / 400 328 / 400 329 / 400 330 / 400 331 / 400 332 / 400 333 / 400 334 / 400 335 / 400 336 / 400 337 / 400 338 / 400 339 / 400 340 / 400 341 / 400 342 / 400 343 / 400 344 / 400 345 / 400 346 / 400 347 / 400 348 / 400 349 / 400 350 / 400 351 / 400 352 / 400 353 / 400 354 / 400 355 / 400 356 / 400 357 / 400 358 / 400 359 / 400 360 / 400 361 / 400 362 / 400 363 / 400 364 / 400 365 / 400 366 / 400 367 / 400 368 / 400 369 / 400 370 / 400 371 / 400 372 / 400 373 / 400 374 / 400 375 / 400 376 / 400 377 / 400 378 / 400 379 / 400 380 / 400 381 / 400 382 / 400 383 / 400 384 / 400 385 / 400 386 / 400 387 / 400 388 / 400 389 / 400 390 / 400 391 / 400 392 / 400 393 / 400 394 / 400 395 / 400 396 / 400 397 / 400 398 / 400 399 / 400 400 / 400 401 / 400 402 / 400 403 / 400 CLIPPING out happening with proba (a bit of clipping is okay): 0.00018359374371357262 maximum scale: 1.1570630073547363Prediction
fofr/musicgen-xmas:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0ID2rlbgpjb4ftftyne4ku62bjxmaStatusSucceededSourceWebHardwareA100 (40GB)Total durationCreatedInput
- seed
- 4279159993
- top_k
- 250
- top_p
- 0
- prompt
- xmas 50s jazz
- duration
- 30
- temperature
- 1
- continuation
- output_format
- wav
- continuation_start
- 0
- multi_band_diffusion
- normalization_strategy
- loudness
- classifier_free_guidance
- 3
{ "seed": 4279159993, "top_k": 250, "top_p": 0, "prompt": "xmas 50s jazz", "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"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run fofr/musicgen-xmas using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "fofr/musicgen-xmas:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0", { input: { seed: 4279159993, top_k: 250, top_p: 0, prompt: "xmas 50s jazz", 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 fofr/musicgen-xmas using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "fofr/musicgen-xmas:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0", input={ "seed": 4279159993, "top_k": 250, "top_p": 0, "prompt": "xmas 50s jazz", "duration": 30, "temperature": 1, "continuation": False, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": False, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run fofr/musicgen-xmas 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": "60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0", "input": { "seed": 4279159993, "top_k": 250, "top_p": 0, "prompt": "xmas 50s jazz", "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.
You can run this model locally using Cog. First, install Cog:brew install cogIf you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/fofr/musicgen-xmas@sha256:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0 \ -i 'seed=4279159993' \ -i 'top_k=250' \ -i 'top_p=0' \ -i 'prompt="xmas 50s jazz"' \ -i 'duration=30' \ -i 'temperature=1' \ -i 'continuation=false' \ -i 'output_format="wav"' \ -i 'continuation_start=0' \ -i 'multi_band_diffusion=false' \ -i 'normalization_strategy="loudness"' \ -i 'classifier_free_guidance=3'To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/fofr/musicgen-xmas@sha256:60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "seed": 4279159993, "top_k": 250, "top_p": 0, "prompt": "xmas 50s jazz", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 } }' \ http://localhost:5000/predictionsTo learn more, take a look at the Cog documentation.
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": "2023-12-04T11:45:10.696629Z", "created_at": "2023-12-04T11:42:53.425436Z", "data_removed": false, "error": null, "id": "2rlbgpjb4ftftyne4ku62bjxma", "input": { "seed": 4279159993, "top_k": 250, "top_p": 0, "prompt": "xmas 50s jazz", "duration": 30, "temperature": 1, "continuation": false, "output_format": "wav", "continuation_start": 0, "multi_band_diffusion": false, "normalization_strategy": "loudness", "classifier_free_guidance": 3 }, "logs": "Fine-tuned model weights hot-swapped!\nUsing seed 4279159993\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 / 1500\n18 / 1500\n19 / 1500\n20 / 1500\n21 / 1500\n22 / 1500\n23 / 1500\n24 / 1500\n25 / 1500\n26 / 1500\n27 / 1500\n28 / 1500\n29 / 1500\n30 / 1500\n31 / 1500\n32 / 1500\n33 / 1500\n34 / 1500\n35 / 1500\n36 / 1500\n37 / 1500\n38 / 1500\n39 / 1500\n40 / 1500\n41 / 1500\n42 / 1500\n43 / 1500\n44 / 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/ 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): 1.4062499758438207e-05 maximum scale: 1.115867018699646", "metrics": { "predict_time": 137.018013, "total_time": 137.271193 }, "output": "https://replicate.delivery/pbxt/7WjZRkwgzHKiD52DnQX47efUeekCH0PDtuN4A6Yj8HVWcb7HB/out.wav", "started_at": "2023-12-04T11:42:53.678616Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2rlbgpjb4ftftyne4ku62bjxma", "cancel": "https://api.replicate.com/v1/predictions/2rlbgpjb4ftftyne4ku62bjxma/cancel" }, "version": "60773839a94244163e133a10fb17a54c01141d45d3e193ff5adae36b86a060b0" }Generated inFine-tuned model weights hot-swapped! Using seed 4279159993 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 186 / 1500 187 / 1500 188 / 1500 189 / 1500 190 / 1500 191 / 1500 192 / 1500 193 / 1500 194 / 1500 195 / 1500 196 / 1500 197 / 1500 198 / 1500 199 / 1500 200 / 1500 201 / 1500 202 / 1500 203 / 1500 204 / 1500 205 / 1500 206 / 1500 207 / 1500 208 / 1500 209 / 1500 210 / 1500 211 / 1500 212 / 1500 213 / 1500 214 / 1500 215 / 1500 216 / 1500 217 / 1500 218 / 1500 219 / 1500 220 / 1500 221 / 1500 222 / 1500 223 / 1500 224 / 1500 225 / 1500 226 / 1500 227 / 1500 228 / 1500 229 / 1500 230 / 1500 231 / 1500 232 / 1500 233 / 1500 234 / 1500 235 / 1500 236 / 1500 237 / 1500 238 / 1500 239 / 1500 240 / 1500 241 / 1500 242 / 1500 243 / 1500 244 / 1500 245 / 1500 246 / 1500 247 / 1500 248 / 1500 249 / 1500 250 / 1500 251 / 1500 252 / 1500 253 / 1500 254 / 1500 255 / 1500 256 / 1500 257 / 1500 258 / 1500 259 / 1500 260 / 1500 261 / 1500 262 / 1500 263 / 1500 264 / 1500 265 / 1500 266 / 1500 267 / 1500 268 / 1500 269 / 1500 270 / 1500 271 / 1500 272 / 1500 273 / 1500 274 / 1500 275 / 1500 276 / 1500 277 / 1500 278 / 1500 279 / 1500 280 / 1500 281 / 1500 282 / 1500 283 / 1500 284 / 1500 285 / 1500 286 / 1500 287 / 1500 288 / 1500 289 / 1500 290 / 1500 291 / 1500 292 / 1500 293 / 1500 294 / 1500 295 / 1500 296 / 1500 297 / 1500 298 / 1500 299 / 1500 300 / 1500 301 / 1500 302 / 1500 303 / 1500 304 / 1500 305 / 1500 306 / 1500 307 / 1500 308 / 1500 309 / 1500 310 / 1500 311 / 1500 312 / 1500 313 / 1500 314 / 1500 315 / 1500 316 / 1500 317 / 1500 318 / 1500 319 / 1500 320 / 1500 321 / 1500 322 / 1500 323 / 1500 324 / 1500 325 / 1500 326 / 1500 327 / 1500 328 / 1500 329 / 1500 330 / 1500 331 / 1500 332 / 1500 333 / 1500 334 / 1500 335 / 1500 336 / 1500 337 / 1500 338 / 1500 339 / 1500 340 / 1500 341 / 1500 342 / 1500 343 / 1500 344 / 1500 345 / 1500 346 / 1500 347 / 1500 348 / 1500 349 / 1500 350 / 1500 351 / 1500 352 / 1500 353 / 1500 354 / 1500 355 / 1500 356 / 1500 357 / 1500 358 / 1500 359 / 1500 360 / 1500 361 / 1500 362 / 1500 363 / 1500 364 / 1500 365 / 1500 366 / 1500 367 / 1500 368 / 1500 369 / 1500 370 / 1500 371 / 1500 372 / 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1500 555 / 1500 556 / 1500 557 / 1500 558 / 1500 559 / 1500 560 / 1500 561 / 1500 562 / 1500 563 / 1500 564 / 1500 565 / 1500 566 / 1500 567 / 1500 568 / 1500 569 / 1500 570 / 1500 571 / 1500 572 / 1500 573 / 1500 574 / 1500 575 / 1500 576 / 1500 577 / 1500 578 / 1500 579 / 1500 580 / 1500 581 / 1500 582 / 1500 583 / 1500 584 / 1500 585 / 1500 586 / 1500 587 / 1500 588 / 1500 589 / 1500 590 / 1500 591 / 1500 592 / 1500 593 / 1500 594 / 1500 595 / 1500 596 / 1500 597 / 1500 598 / 1500 599 / 1500 600 / 1500 601 / 1500 602 / 1500 603 / 1500 604 / 1500 605 / 1500 606 / 1500 607 / 1500 608 / 1500 609 / 1500 610 / 1500 611 / 1500 612 / 1500 613 / 1500 614 / 1500 615 / 1500 616 / 1500 617 / 1500 618 / 1500 619 / 1500 620 / 1500 621 / 1500 622 / 1500 623 / 1500 624 / 1500 625 / 1500 626 / 1500 627 / 1500 628 / 1500 629 / 1500 630 / 1500 631 / 1500 632 / 1500 633 / 1500 634 / 1500 635 / 1500 636 / 1500 637 / 1500 638 / 1500 639 / 1500 640 / 1500 641 / 1500 642 / 1500 643 / 1500 644 / 1500 645 / 1500 646 / 1500 647 / 1500 648 / 1500 649 / 1500 650 / 1500 651 / 1500 652 / 1500 653 / 1500 654 / 1500 655 / 1500 656 / 1500 657 / 1500 658 / 1500 659 / 1500 660 / 1500 661 / 1500 662 / 1500 663 / 1500 664 / 1500 665 / 1500 666 / 1500 667 / 1500 668 / 1500 669 / 1500 670 / 1500 671 / 1500 672 / 1500 673 / 1500 674 / 1500 675 / 1500 676 / 1500 677 / 1500 678 / 1500 679 / 1500 680 / 1500 681 / 1500 682 / 1500 683 / 1500 684 / 1500 685 / 1500 686 / 1500 687 / 1500 688 / 1500 689 / 1500 690 / 1500 691 / 1500 692 / 1500 693 / 1500 694 / 1500 695 / 1500 696 / 1500 697 / 1500 698 / 1500 699 / 1500 700 / 1500 701 / 1500 702 / 1500 703 / 1500 704 / 1500 705 / 1500 706 / 1500 707 / 1500 708 / 1500 709 / 1500 710 / 1500 711 / 1500 712 / 1500 713 / 1500 714 / 1500 715 / 1500 716 / 1500 717 / 1500 718 / 1500 719 / 1500 720 / 1500 721 / 1500 722 / 1500 723 / 1500 724 / 1500 725 / 1500 726 / 1500 727 / 1500 728 / 1500 729 / 1500 730 / 1500 731 / 1500 732 / 1500 733 / 1500 734 / 1500 735 / 1500 736 / 1500 737 / 1500 738 / 1500 739 / 1500 740 / 1500 741 / 1500 742 / 1500 743 / 1500 744 / 1500 745 / 1500 746 / 1500 747 / 1500 748 / 1500 749 / 1500 750 / 1500 751 / 1500 752 / 1500 753 / 1500 754 / 1500 755 / 1500 756 / 1500 757 / 1500 758 / 1500 759 / 1500 760 / 1500 761 / 1500 762 / 1500 763 / 1500 764 / 1500 765 / 1500 766 / 1500 767 / 1500 768 / 1500 769 / 1500 770 / 1500 771 / 1500 772 / 1500 773 / 1500 774 / 1500 775 / 1500 776 / 1500 777 / 1500 778 / 1500 779 / 1500 780 / 1500 781 / 1500 782 / 1500 783 / 1500 784 / 1500 785 / 1500 786 / 1500 787 / 1500 788 / 1500 789 / 1500 790 / 1500 791 / 1500 792 / 1500 793 / 1500 794 / 1500 795 / 1500 796 / 1500 797 / 1500 798 / 1500 799 / 1500 800 / 1500 801 / 1500 802 / 1500 803 / 1500 804 / 1500 805 / 1500 806 / 1500 807 / 1500 808 / 1500 809 / 1500 810 / 1500 811 / 1500 812 / 1500 813 / 1500 814 / 1500 815 / 1500 816 / 1500 817 / 1500 818 / 1500 819 / 1500 820 / 1500 821 / 1500 822 / 1500 823 / 1500 824 / 1500 825 / 1500 826 / 1500 827 / 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/ 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 1233 / 1500 1234 / 1500 1235 / 1500 1236 / 1500 1237 / 1500 1238 / 1500 1239 / 1500 1240 / 1500 1241 / 1500 1242 / 1500 1243 / 1500 1244 / 1500 1245 / 1500 1246 / 1500 1247 / 1500 1248 / 1500 1249 / 1500 1250 / 1500 1251 / 1500 1252 / 1500 1253 / 1500 1254 / 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 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): 1.4062499758438207e-05 maximum scale: 1.115867018699646
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