curl --request POST \
--url https://api.apimart.ai/v1/music/generations/createModel \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "suno",
"name": "warm folk model",
"audio_urls": [
"https://example.com/ref-01.mp3",
"https://example.com/ref-02.mp3",
"https://example.com/ref-03.wav",
"https://example.com/ref-04.m4a",
"https://example.com/ref-05.mp3",
"https://example.com/ref-06.mp3"
]
}'
import requests
response = requests.post(
"https://api.apimart.ai/v1/music/generations/createModel",
headers={"Authorization": "Bearer <token>"},
json={
"model": "suno",
"name": "warm folk model",
"audio_urls": [
"https://example.com/ref-01.mp3",
"https://example.com/ref-02.mp3",
"https://example.com/ref-03.wav",
"https://example.com/ref-04.m4a",
"https://example.com/ref-05.mp3",
"https://example.com/ref-06.mp3",
],
},
)
print(response.json())
const response = await fetch("https://api.apimart.ai/v1/music/generations/createModel", {
method: "POST",
headers: {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
},
body: JSON.stringify({
model: "suno",
name: "warm folk model",
audio_urls: [
"https://example.com/ref-01.mp3",
"https://example.com/ref-02.mp3",
"https://example.com/ref-03.wav",
"https://example.com/ref-04.m4a",
"https://example.com/ref-05.mp3",
"https://example.com/ref-06.mp3"
]
})
});
console.log(await response.json());
{
"code": 200,
"data": [
{"status": "submitted", "task_id": "task_01M24YMN4EV04M84R5QYM77R1E"}
]
}
{
"code": 200,
"data": {
"id": "task_01M24YMN4EV04M84R5QYM77R1E",
"status": "completed",
"progress": 100,
"result": {
"model_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"name": "warm folk music model"
}
}
}
Suno
カスタムモデルを作成
6～24 件の参照音声から Suno V6 カスタムモデルを作成します
POST
/
v1
/
music
/
generations
/
createModel
curl --request POST \
--url https://api.apimart.ai/v1/music/generations/createModel \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "suno",
"name": "warm folk model",
"audio_urls": [
"https://example.com/ref-01.mp3",
"https://example.com/ref-02.mp3",
"https://example.com/ref-03.wav",
"https://example.com/ref-04.m4a",
"https://example.com/ref-05.mp3",
"https://example.com/ref-06.mp3"
]
}'
import requests
response = requests.post(
"https://api.apimart.ai/v1/music/generations/createModel",
headers={"Authorization": "Bearer <token>"},
json={
"model": "suno",
"name": "warm folk model",
"audio_urls": [
"https://example.com/ref-01.mp3",
"https://example.com/ref-02.mp3",
"https://example.com/ref-03.wav",
"https://example.com/ref-04.m4a",
"https://example.com/ref-05.mp3",
"https://example.com/ref-06.mp3",
],
},
)
print(response.json())
const response = await fetch("https://api.apimart.ai/v1/music/generations/createModel", {
method: "POST",
headers: {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
},
body: JSON.stringify({
model: "suno",
name: "warm folk model",
audio_urls: [
"https://example.com/ref-01.mp3",
"https://example.com/ref-02.mp3",
"https://example.com/ref-03.wav",
"https://example.com/ref-04.m4a",
"https://example.com/ref-05.mp3",
"https://example.com/ref-06.mp3"
]
})
});
console.log(await response.json());
{
"code": 200,
"data": [
{"status": "submitted", "task_id": "task_01M24YMN4EV04M84R5QYM77R1E"}
]
}
{
"code": 200,
"data": {
"id": "task_01M24YMN4EV04M84R5QYM77R1E",
"status": "completed",
"progress": 100,
"result": {
"model_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"name": "warm folk music model"
}
}
}
モデル作成は非同期です。送信後、
task_id でタスクをポーリングし、完了したら data.result.model_id からカスタムモデル ID を取得します。curl --request POST \
--url https://api.apimart.ai/v1/music/generations/createModel \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "suno",
"name": "warm folk model",
"audio_urls": [
"https://example.com/ref-01.mp3",
"https://example.com/ref-02.mp3",
"https://example.com/ref-03.wav",
"https://example.com/ref-04.m4a",
"https://example.com/ref-05.mp3",
"https://example.com/ref-06.mp3"
]
}'
import requests
response = requests.post(
"https://api.apimart.ai/v1/music/generations/createModel",
headers={"Authorization": "Bearer <token>"},
json={
"model": "suno",
"name": "warm folk model",
"audio_urls": [
"https://example.com/ref-01.mp3",
"https://example.com/ref-02.mp3",
"https://example.com/ref-03.wav",
"https://example.com/ref-04.m4a",
"https://example.com/ref-05.mp3",
"https://example.com/ref-06.mp3",
],
},
)
print(response.json())
const response = await fetch("https://api.apimart.ai/v1/music/generations/createModel", {
method: "POST",
headers: {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
},
body: JSON.stringify({
model: "suno",
name: "warm folk model",
audio_urls: [
"https://example.com/ref-01.mp3",
"https://example.com/ref-02.mp3",
"https://example.com/ref-03.wav",
"https://example.com/ref-04.m4a",
"https://example.com/ref-05.mp3",
"https://example.com/ref-06.mp3"
]
})
});
console.log(await response.json());
Authorizations
string
必須
Bearer Token。API Key 管理ページ で API Key を取得してください。
Body
string
デフォルト:"suno"
常に
suno を指定します。string
必須
カスタムモデル名。前後の空白を除去した後に空であってはなりません。
string[]
必須
公開アクセス可能な音声ファイルの直接 HTTP(S) URL を 6～24 個指定します。MP3、WAV、M4A を推奨します。各 URL はログインページではなく音声ファイルを直接返す必要があります。
無効なメディアファイルがあると、モデル作成タスク全体が失敗する場合があります。ローカルファイルは先にアップロードして公開 URL を使用し、ローカルパスや
blob: URL は送信しないでください。Response
integer
レスポンスステータスコード。
array
送信結果。
data[0].task_id を取得し、GET /v1/music/tasks/{task_id} でトレーニング状態を照会してください。{
"code": 200,
"data": [
{"status": "submitted", "task_id": "task_01M24YMN4EV04M84R5QYM77R1E"}
]
}
{
"code": 200,
"data": {
"id": "task_01M24YMN4EV04M84R5QYM77R1E",
"status": "completed",
"progress": 100,
"result": {
"model_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"name": "warm folk music model"
}
}
}
作成したモデルを使用する
完了後にresult.model_id を保存します。以降のカスタムモデルリクエストではこれを custom_model_id として使用し、version と persona_id は省略してください。
{
"model": "suno",
"custom_model_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"custom": true,
"instrumental": false,
"prompt": "[Verse]\nan old wooden guitar plays a new journey",
"style": "acoustic folk, warm vocals",
"max_mode": true,
"audio_format": "mp3"
}