sakemin / musicgen-opn

MusicGen Stereo model fine-tuned on the tracks of Oneohtrix Point Never with the text token "OPN"

Cold

Public
289 runs
L40S

Iterate in playground

Run with an API

Playground API Examples README Versions

Prediction

sakemin/musicgen-opn:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a

Model

sakemin/musicgen-opn:e7f5bd37

mrjiktjbjdqlha63wequlpseoy

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

5m 42s

Created

over 1 year ago

Input

top_k: 250
top_p: 0
prompt: OPN, Experimental
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": "OPN, Experimental",
  "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 replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run sakemin/musicgen-opn using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "sakemin/musicgen-opn:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a",
  {
    input: {
      top_k: 250,
      top_p: 0,
      prompt: "OPN, Experimental",
      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 replicate

Import the client:

import replicate

Run sakemin/musicgen-opn using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "sakemin/musicgen-opn:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a",
    input={
        "top_k": 250,
        "top_p": 0,
        "prompt": "OPN, Experimental",
        "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 sakemin/musicgen-opn 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": "sakemin/musicgen-opn:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a",
    "input": {
      "top_k": 250,
      "top_p": 0,
      "prompt": "OPN, Experimental",
      "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/predictions

To 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 cog

If 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/sakemin/musicgen-opn@sha256:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a \
  -i 'top_k=250' \
  -i 'top_p=0' \
  -i 'prompt="OPN, Experimental"' \
  -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/sakemin/musicgen-opn@sha256:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_k": 250,
      "top_p": 0,
      "prompt": "OPN, Experimental",
      "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/predictions

To learn more, take a look at the Cog documentation.

Output

Video Player is loading.

Current Time 00:00:000

Duration 00:00:000

Loaded: 0%

Stream Type LIVE

Remaining Time 00:00:000

{
  "completed_at": "2023-12-04T02:17:49.862424Z",
  "created_at": "2023-12-04T02:12:07.401650Z",
  "data_removed": false,
  "error": null,
  "id": "mrjiktjbjdqlha63wequlpseoy",
  "input": {
    "top_k": 250,
    "top_p": 0,
    "prompt": "OPN, Experimental",
    "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/mlMkc8dXga5JIVh6OWzNf8x25aGmolNcP2C5AM8cPFUK0NfRA/trained_model.tar\" to /src/models/hub/checkpoints/trained_model.tar\n  0%|          | 0.00/6.94G [00:00<?, ?B/s]\n  0%|          | 4.24M/6.94G [00:00<02:47, 44.5MB/s]\n  0%|          | 11.1M/6.94G [00:00<02:03, 60.4MB/s]\n  0%|          | 24.0M/6.94G [00:00<01:28, 83.6MB/s]\n  1%|          | 40.0M/6.94G [00:00<01:07, 109MB/s] \n  1%|          | 56.0M/6.94G [00:00<01:10, 105MB/s]\n  1%|          | 72.0M/6.94G [00:00<01:38, 75.0MB/s]\n  1%|          | 88.0M/6.94G [00:01<02:04, 59.0MB/s]\n  1%|▏         | 104M/6.94G [00:01<01:50, 66.5MB/s] \n  2%|▏         | 112M/6.94G [00:01<01:57, 62.5MB/s]\n  2%|▏         | 120M/6.94G [00:01<02:06, 57.9MB/s]\n  2%|▏         | 136M/6.94G [00:02<01:52, 65.0MB/s]\n  2%|▏         | 152M/6.94G [00:02<01:37, 74.6MB/s]\n  2%|▏         | 168M/6.94G [00:02<01:36, 75.1MB/s]\n  3%|▎         | 184M/6.94G [00:02<01:49, 66.4MB/s]\n  3%|▎         | 200M/6.94G 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97%|█████████▋| 6.73G/6.94G [01:11<00:01, 128MB/s]\n 97%|█████████▋| 6.74G/6.94G [01:11<00:02, 102MB/s]\n 97%|█████████▋| 6.76G/6.94G [01:11<00:01, 117MB/s]\n 98%|█████████▊| 6.77G/6.94G [01:12<00:02, 78.7MB/s]\n 98%|█████████▊| 6.78G/6.94G [01:12<00:01, 92.5MB/s]\n 98%|█████████▊| 6.80G/6.94G [01:12<00:01, 92.1MB/s]\n 98%|█████████▊| 6.81G/6.94G [01:12<00:01, 95.7MB/s]\n 98%|█████████▊| 6.82G/6.94G [01:12<00:01, 107MB/s] \n 98%|█████████▊| 6.83G/6.94G [01:12<00:00, 120MB/s]\n 99%|█████████▊| 6.85G/6.94G [01:12<00:01, 104MB/s]\n 99%|█████████▉| 6.86G/6.94G [01:13<00:00, 98.9MB/s]\n 99%|█████████▉| 6.87G/6.94G [01:13<00:00, 110MB/s] \n 99%|█████████▉| 6.88G/6.94G [01:13<00:00, 105MB/s]\n 99%|█████████▉| 6.90G/6.94G [01:13<00:00, 118MB/s]\n100%|█████████▉| 6.91G/6.94G [01:13<00:00, 131MB/s]\n100%|█████████▉| 6.93G/6.94G [01:13<00:00, 120MB/s]\n100%|██████████| 6.94G/6.94G [01:13<00:00, 101MB/s]\nFine-tuned model weights hot-swapped!\nUsing seed 1267755346\n1 /   1500\n2 /   1500\n3 /   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1500\n438 /   1500\n439 /   1500\n440 /   1500\n441 /   1500\n442 /   1500\n443 /   1500\n444 /   1500\n445 /   1500\n446 /   1500\n447 /   1500\n448 /   1500\n449 /   1500\n450 /   1500\n451 /   1500\n452 /   1500\n453 /   1500\n454 /   1500\n455 /   1500\n456 /   1500\n457 /   1500\n458 /   1500\n459 /   1500\n460 /   1500\n461 /   1500\n462 /   1500\n463 /   1500\n464 /   1500\n465 /   1500\n466 /   1500\n467 /   1500\n468 /   1500\n469 /   1500\n470 /   1500\n471 /   1500\n472 /   1500\n473 /   1500\n474 /   1500\n475 /   1500\n476 /   1500\n477 /   1500\n478 /   1500\n479 /   1500\n480 /   1500\n481 /   1500\n482 /   1500\n483 /   1500\n484 /   1500\n485 /   1500\n486 /   1500\n487 /   1500\n488 /   1500\n489 /   1500\n490 /   1500\n491 /   1500\n492 /   1500\n493 /   1500\n494 /   1500\n495 /   1500\n496 /   1500\n497 /   1500\n498 /   1500\n499 /   1500\n500 /   1500\n501 /   1500\n502 /   1500\n503 /   1500\n504 /   1500\n505 /   1500\n506 /   1500\n507 /   1500\n508 /   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1500\n580 /   1500\n581 /   1500\n582 /   1500\n583 /   1500\n584 /   1500\n585 /   1500\n586 /   1500\n587 /   1500\n588 /   1500\n589 /   1500\n590 /   1500\n591 /   1500\n592 /   1500\n593 /   1500\n594 /   1500\n595 /   1500\n596 /   1500\n597 /   1500\n598 /   1500\n599 /   1500\n600 /   1500\n601 /   1500\n602 /   1500\n603 /   1500\n604 /   1500\n605 /   1500\n606 /   1500\n607 /   1500\n608 /   1500\n609 /   1500\n610 /   1500\n611 /   1500\n612 /   1500\n613 /   1500\n614 /   1500\n615 /   1500\n616 /   1500\n617 /   1500\n618 /   1500\n619 /   1500\n620 /   1500\n621 /   1500\n622 /   1500\n623 /   1500\n624 /   1500\n625 /   1500\n626 /   1500\n627 /   1500\n628 /   1500\n629 /   1500\n630 /   1500\n631 /   1500\n632 /   1500\n633 /   1500\n634 /   1500\n635 /   1500\n636 /   1500\n637 /   1500\n638 /   1500\n639 /   1500\n640 /   1500\n641 /   1500\n642 /   1500\n643 /   1500\n644 /   1500\n645 /   1500\n646 /   1500\n647 /   1500\n648 /   1500\n649 /   1500\n650 /   1500\n651 /   1500\n652 /   1500\n653 /   1500\n654 /   1500\n655 /   1500\n656 /   1500\n657 /   1500\n658 /   1500\n659 /   1500\n660 /   1500\n661 /   1500\n662 /   1500\n663 /   1500\n664 /   1500\n665 /   1500\n666 /   1500\n667 /   1500\n668 /   1500\n669 /   1500\n670 /   1500\n671 /   1500\n672 /   1500\n673 /   1500\n674 /   1500\n675 /   1500\n676 /   1500\n677 /   1500\n678 /   1500\n679 /   1500\n680 /   1500\n681 /   1500\n682 /   1500\n683 /   1500\n684 /   1500\n685 /   1500\n686 /   1500\n687 /   1500\n688 /   1500\n689 /   1500\n690 /   1500\n691 /   1500\n692 /   1500\n693 /   1500\n694 /   1500\n695 /   1500\n696 /   1500\n697 /   1500\n698 /   1500\n699 /   1500\n700 /   1500\n701 /   1500\n702 /   1500\n703 /   1500\n704 /   1500\n705 /   1500\n706 /   1500\n707 /   1500\n708 /   1500\n709 /   1500\n710 /   1500\n711 /   1500\n712 /   1500\n713 /   1500\n714 /   1500\n715 /   1500\n716 /   1500\n717 /   1500\n718 /   1500\n719 /   1500\n720 /   1500\n721 /   1500\n722 /   1500\n723 /   1500\n724 /   1500\n725 /   1500\n726 /   1500\n727 /   1500\n728 /   1500\n729 /   1500\n730 /   1500\n731 /   1500\n732 /   1500\n733 /   1500\n734 /   1500\n735 /   1500\n736 /   1500\n737 /   1500\n738 /   1500\n739 /   1500\n740 /   1500\n741 /   1500\n742 /   1500\n743 /   1500\n744 /   1500\n745 /   1500\n746 /   1500\n747 /   1500\n748 /   1500\n749 /   1500\n750 /   1500\n751 /   1500\n752 /   1500\n753 /   1500\n754 /   1500\n755 /   1500\n756 /   1500\n757 /   1500\n758 /   1500\n759 /   1500\n760 /   1500\n761 /   1500\n762 /   1500\n763 /   1500\n764 /   1500\n765 /   1500\n766 /   1500\n767 /   1500\n768 /   1500\n769 /   1500\n770 /   1500\n771 /   1500\n772 /   1500\n773 /   1500\n774 /   1500\n775 /   1500\n776 /   1500\n777 /   1500\n778 /   1500\n779 /   1500\n780 /   1500\n781 /   1500\n782 /   1500\n783 /   1500\n784 /   1500\n785 /   1500\n786 /   1500\n787 /   1500\n788 /   1500\n789 /   1500\n790 /   1500\n791 /   1500\n792 /   1500\n793 /   1500\n794 /   1500\n795 /   1500\n796 /   1500\n797 /   1500\n798 /   1500\n799 /   1500\n800 /   1500\n801 /   1500\n802 /   1500\n803 /   1500\n804 /   1500\n805 /   1500\n806 /   1500\n807 /   1500\n808 /   1500\n809 /   1500\n810 /   1500\n811 /   1500\n812 /   1500\n813 /   1500\n814 /   1500\n815 /   1500\n816 /   1500\n817 /   1500\n818 /   1500\n819 /   1500\n820 /   1500\n821 /   1500\n822 /   1500\n823 /   1500\n824 /   1500\n825 /   1500\n826 /   1500\n827 /   1500\n828 /   1500\n829 /   1500\n830 /   1500\n831 /   1500\n832 /   1500\n833 /   1500\n834 /   1500\n835 /   1500\n836 /   1500\n837 /   1500\n838 /   1500\n839 /   1500\n840 /   1500\n841 /   1500\n842 /   1500\n843 /   1500\n844 /   1500\n845 /   1500\n846 /   1500\n847 /   1500\n848 /   1500\n849 /   1500\n850 /   1500\n851 /   1500\n852 /   1500\n853 /   1500\n854 /   1500\n855 /   1500\n856 /   1500\n857 /   1500\n858 /   1500\n859 /   1500\n860 /   1500\n861 /   1500\n862 /   1500\n863 /   1500\n864 /   1500\n865 /   1500\n866 /   1500\n867 /   1500\n868 /   1500\n869 /   1500\n870 /   1500\n871 /   1500\n872 /   1500\n873 /   1500\n874 /   1500\n875 /   1500\n876 /   1500\n877 /   1500\n878 /   1500\n879 /   1500\n880 /   1500\n881 /   1500\n882 /   1500\n883 /   1500\n884 /   1500\n885 /   1500\n886 /   1500\n887 /   1500\n888 /   1500\n889 /   1500\n890 /   1500\n891 /   1500\n892 /   1500\n893 /   1500\n894 /   1500\n895 /   1500\n896 /   1500\n897 /   1500\n898 /   1500\n899 /   1500\n900 /   1500\n901 /   1500\n902 /   1500\n903 /   1500\n904 /   1500\n   905 /   1500\n906 /   1500\n907 /   1500\n908 /   1500\n909 /   1500\n910 /   1500\n911 /   1500\n912 /   1500\n913 /   1500\n914 /   1500\n915 /   1500\n916 /   1500\n917 /   1500\n918 /   1500\n919 /   1500\n920 /   1500\n921 /   1500\n922 /   1500\n923 /   1500\n924 /   1500\n925 /   1500\n926 /   1500\n927 /   1500\n928 /   1500\n929 /   1500\n930 /   1500\n931 /   1500\n932 /   1500\n933 /   1500\n934 /   1500\n935 /   1500\n936 /   1500\n937 /   1500\n938 /   1500\n939 /   1500\n940 /   1500\n941 /   1500\n942 /   1500\n943 /   1500\n944 /   1500\n945 /   1500\n946 /   1500\n947 /   1500\n948 /   1500\n949 /   1500\n950 /   1500\n951 /   1500\n952 /   1500\n953 /   1500\n954 /   1500\n955 /   1500\n956 /   1500\n957 /   1500\n958 /   1500\n959 /   1500\n960 /   1500\n961 /   1500\n962 /   1500\n963 /   1500\n964 /   1500\n965 /   1500\n966 /   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\n   997 /   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\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): 4.479166818782687e-05 maximum scale:  1.1851450204849243",
  "metrics": {
    "predict_time": 214.391377,
    "total_time": 342.460774
  },
  "output": "https://replicate.delivery/pbxt/mtMGvBd6qPoeKaKif0K39lxsZ9H4TBYMmOFl31Oifqe1M66HB/out.wav",
  "started_at": "2023-12-04T02:14:15.471047Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/mrjiktjbjdqlha63wequlpseoy",
    "cancel": "https://api.replicate.com/v1/predictions/mrjiktjbjdqlha63wequlpseoy/cancel"
  },
  "version": "e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a"
}

Generated in

3 minutes 34 seconds

Tweak it ShareReport

Downloading: "https://replicate.delivery/pbxt/mlMkc8dXga5JIVh6OWzNf8x25aGmolNcP2C5AM8cPFUK0NfRA/trained_model.tar" to /src/models/hub/checkpoints/trained_model.tar
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Fine-tuned model weights hot-swapped!
Using seed 1267755346
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CLIPPING out happening with proba (a bit of clipping is okay): 4.479166818782687e-05 maximum scale:  1.1851450204849243

Prediction

sakemin/musicgen-opn:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a

Model

sakemin/musicgen-opn:e7f5bd37

j72c6srbnmnteyxjh4vqj5ezxi

Status

Succeeded

Source

Web

Hardware

A100 (40GB)

Total duration

2m 22s

Created

over 1 year ago

Input

top_k: 250
top_p: 0
prompt: OPN
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": "OPN",
  "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 replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run sakemin/musicgen-opn using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "sakemin/musicgen-opn:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a",
  {
    input: {
      top_k: 250,
      top_p: 0,
      prompt: "OPN",
      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 replicate

Import the client:

import replicate

Run sakemin/musicgen-opn using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "sakemin/musicgen-opn:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a",
    input={
        "top_k": 250,
        "top_p": 0,
        "prompt": "OPN",
        "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 sakemin/musicgen-opn 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": "sakemin/musicgen-opn:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a",
    "input": {
      "top_k": 250,
      "top_p": 0,
      "prompt": "OPN",
      "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/predictions

To 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 cog

If 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/sakemin/musicgen-opn@sha256:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a \
  -i 'top_k=250' \
  -i 'top_p=0' \
  -i 'prompt="OPN"' \
  -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/sakemin/musicgen-opn@sha256:e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_k": 250,
      "top_p": 0,
      "prompt": "OPN",
      "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/predictions

To learn more, take a look at the Cog documentation.

Output

Video Player is loading.

Current Time 00:00:000

Duration 00:00:000

Loaded: 0%

Stream Type LIVE

Remaining Time 00:00:000

{
  "completed_at": "2023-12-04T07:51:23.989919Z",
  "created_at": "2023-12-04T07:49:01.534310Z",
  "data_removed": false,
  "error": null,
  "id": "j72c6srbnmnteyxjh4vqj5ezxi",
  "input": {
    "top_k": 250,
    "top_p": 0,
    "prompt": "OPN",
    "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 2493956412\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 /   1500\n45 /   1500\n46 /   1500\n47 /   1500\n48 /   1500\n49 /   1500\n50 /   1500\n51 /   1500\n52 /   1500\n53 /   1500\n54 /   1500\n55 /   1500\n56 /   1500\n57 /   1500\n58 /   1500\n59 /   1500\n60 /   1500\n61 /   1500\n62 /   1500\n63 /   1500\n64 /   1500\n65 /   1500\n66 /   1500\n67 /   1500\n68 /   1500\n69 /   1500\n70 /   1500\n71 /   1500\n72 /   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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 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/   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): 0.0007656249799765646 maximum scale: 1.30263352394104",
  "metrics": {
    "predict_time": 142.308292,
    "total_time": 142.455609
  },
  "output": "https://replicate.delivery/pbxt/VpHrmMHlyabdI9yT8jQFufGTcE6JUHYxDCTSbOgEff133m9jA/out.wav",
  "started_at": "2023-12-04T07:49:01.681627Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/j72c6srbnmnteyxjh4vqj5ezxi",
    "cancel": "https://api.replicate.com/v1/predictions/j72c6srbnmnteyxjh4vqj5ezxi/cancel"
  },
  "version": "e7f5bd3736e1abfaa82b02199468ca95764cc305a964637f9066cc6fe320e97a"
}

Generated in

2 minutes 22 seconds

Tweak it ShareReport

Fine-tuned model weights hot-swapped!
Using seed 2493956412
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CLIPPING out happening with proba (a bit of clipping is okay): 0.0007656249799765646 maximum scale: 1.30263352394104

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sakemin / musicgen-opn

Prediction

Input

Output

Prediction

Input

Output

Logs (mrjiktjbjdqlha63wequlpseoy)

Logs (j72c6srbnmnteyxjh4vqj5ezxi)