minimax/music-2.6

نص إلى صوت

MiniMax Music 2.6 API by MiniMax

minimax/music-2.6

Music-2.6

MiniMax text-to-music (latest): generate a full vocal or instrumental song from a style prompt plus lyrics with [Verse]/[Chorus] structure tags. Synchronous single-call generation.

الإدخال

الطلب *

Lyrics

Is instrumental

Format

معدل العينات

Bitrate

الإخراج

في انتظار التنفيذ

سيظهر الصوت الذي تم إنشاؤه هنا

أدخل النص وانقر على تشغيل لتركيب الكلام.

المعلمات

مثال الكود
import requests
import time

# Step 1: Start audio generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateAudio"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "minimax/music-2.6",  # Required. Model name. options: minimax/music-2.6
    "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",  # Required. Style / mood / genre / instrumentation description, e
    "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",  # Song lyrics
    "is_instrumental": False,  # Generate instrumental music only (no vocals)
    "format": "mp3",  # Output audio format. options: mp3 | wav | pcm
    "sample_rate": 44100,  # Output sample rate (Hz). options: 16000 | 24000 | 32000 | 44100
    "bitrate": 256000,  # Output bitrate (bps). options: 32000 | 64000 | 128000 | 256000
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated audio:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

audio_url = check_status()

التثبيت

قم بتثبيت الحزمة المطلوبة للغة البرمجة الخاصة بك.

pip install requests

المصادقة

تتطلب جميع طلبات API المصادقة عبر مفتاح API. يمكنك الحصول على مفتاح API الخاص بك من لوحة تحكم Atlas Cloud.

export ATLASCLOUD_API_KEY="your-api-key-here"

ترويسات HTTP

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

حافظ على أمان مفتاح API الخاص بك

لا تكشف أبدًا مفتاح API الخاص بك في الكود من جانب العميل أو المستودعات العامة. استخدم متغيرات البيئة أو وكيل الخادم الخلفي بدلاً من ذلك.

إرسال طلب

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateAudio"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "text": "Hello, welcome to AtlasCloud text-to-speech."
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

إرسال طلب

أرسل طلب توليد غير متزامن. تُرجع API معرّف التنبؤ الذي يمكنك استخدامه للتحقق من الحالة واسترداد النتيجة.

POST/api/v1/model/generateAudio

نص الطلب

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateAudio"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "minimax/music-2.6",
    "text": "Hello, welcome to AtlasCloud text-to-speech."
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

الاستجابة

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

التحقق من الحالة

استعلم عن نقطة نهاية التنبؤ للتحقق من الحالة الحالية لطلبك.

GET/api/v1/model/prediction/{prediction_id}

مثال الاستعلام

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

قيم الحالة

processingلا يزال الطلب قيد المعالجة.

completedاكتمل التوليد. المخرجات متاحة.

succeededنجح التوليد. المخرجات متاحة.

failedفشل التوليد. تحقق من حقل الخطأ.

استجابة مكتملة

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp3"
    ],
    "metrics": {
      "predict_time": 8.3
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Input Schema

المعاملات التالية مقبولة في نص الطلب.

الإجمالي: 7مطلوب: 2اختياري: 5

modelstringrequired

Model name.

Default: "minimax/music-2.6"

minimax/music-2.6

promptstringrequired

Style / mood / genre / instrumentation description, e.g. "upbeat electronic pop, female vocal, energetic, catchy hook, 120bpm". Max 2000 chars.

Default: "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm"

lyricsstring

Song lyrics. Separate lines with a newline; use a blank line for a pause. Supports structure tags: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Max 3500 chars. Leave empty (with is_instrumental=true) for instrumental.

Default: "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came"

is_instrumentalboolean

Generate instrumental music only (no vocals).

Default: false

formatstring

Output audio format.

Default: "mp3"

mp3wavpcm

sample_rateinteger

Output sample rate (Hz).

Default: 44100

16000240003200044100

bitrateinteger

Output bitrate (bps).

Default: 256000

3200064000128000256000

مثال على نص الطلب

{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
  "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
  "is_instrumental": false,
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000
}

Output Schema

تُرجع API استجابة تنبؤ تحتوي على عناوين URL للمخرجات المولّدة.

created_atstring

ISO timestamp of when the request was created.

idstring

Unique identifier for the prediction.

modelstring

Model ID used for the prediction.

outputsarray

Array of URLs to the generated music.

statusstring

Status of the task: created, processing, completed, or failed.

مثال على الاستجابة

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.png"
  ],
  "metrics": {
    "predict_time": 8.3
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

يدمج Atlas Cloud Skills أكثر من 400 نموذج ذكاء اصطناعي مباشرة في مساعد البرمجة بالذكاء الاصطناعي الخاص بك. أمر واحد للتثبيت، ثم استخدم اللغة الطبيعية لتوليد الصور ومقاطع الفيديو والدردشة مع LLM.

العملاء المدعومون

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ العملاء المدعومون

التثبيت

npx skills add AtlasCloudAI/atlas-cloud-skills

إعداد مفتاح API

احصل على مفتاح API الخاص بك من لوحة تحكم Atlas Cloud وعيّنه كمتغير بيئة.

export ATLASCLOUD_API_KEY="your-api-key-here"

الإمكانيات

بمجرد التثبيت، يمكنك استخدام اللغة الطبيعية في مساعد الذكاء الاصطناعي الخاص بك للوصول إلى جميع نماذج Atlas Cloud.

توليد الصورأنشئ صورًا باستخدام نماذج مثل Nano Banana 2 و Z-Image والمزيد.

إنشاء الفيديوأنشئ مقاطع فيديو من نص أو صور باستخدام Kling و Vidu و Veo وغيرها.

دردشة LLMتحدث مع Qwen و DeepSeek ونماذج اللغة الكبيرة الأخرى.

رفع الوسائطارفع الملفات المحلية لتحرير الصور وسير عمل تحويل الصور إلى فيديو.

MCP Server

يربط Atlas Cloud MCP Server بيئة التطوير الخاصة بك بأكثر من 400 نموذج ذكاء اصطناعي عبر Model Context Protocol. يعمل مع أي عميل متوافق مع MCP.

العملاء المدعومون

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ العملاء المدعومون

التثبيت

npx -y atlascloud-mcp

التكوين

أضف التكوين التالي إلى ملف إعدادات MCP في بيئة التطوير الخاصة بك.

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

الأدوات المتاحة

atlas_generate_imageتوليد صور من أوصاف نصية.

atlas_generate_videoإنشاء مقاطع فيديو من نص أو صور.

atlas_chatالدردشة مع نماذج اللغة الكبيرة.

atlas_list_modelsتصفح أكثر من 400 نموذج ذكاء اصطناعي متاح.

atlas_quick_generateإنشاء محتوى بخطوة واحدة مع اختيار تلقائي للنموذج.

atlas_upload_mediaرفع الملفات المحلية لسير عمل API.

اعرف المزيد

github.com/AtlasCloudAI/mcp-server

مخطط API

{
  "info": {
    "title": "AtlasCloud API",
    "version": "1.0.0",
    "description": "The AtlasCloud API."
  },
  "openapi": "3.0.0",
  "paths": {
    "/api/v1/model/generateAudio": {
      "post": {
        "requestBody": {
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          },
          "required": true
        },
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "required": true,
            "schema": {
              "description": "Request ID",
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        }
      },
      "x-api-name": "model_result"
    }
  },
  "components": {
    "schemas": {
      "Input": {
        "type": "object",
        "properties": {
          "model": {
            "type": "string",
            "description": "Model name.",
            "default": "minimax/music-2.6",
            "enum": [
              "minimax/music-2.6"
            ]
          },
          "prompt": {
            "type": "string",
            "description": "Style / mood / genre / instrumentation description, e.g. \"upbeat electronic pop, female vocal, energetic, catchy hook, 120bpm\". Max 2000 chars.",
            "default": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
            "x-ui-component": "textarea",
            "maxLength": 2000
          },
          "lyrics": {
            "type": "string",
            "description": "Song lyrics. Separate lines with a newline; use a blank line for a pause. Supports structure tags: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Max 3500 chars. Leave empty (with is_instrumental=true) for instrumental.",
            "default": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
            "x-ui-component": "textarea",
            "maxLength": 3500
          },
          "is_instrumental": {
            "type": "boolean",
            "description": "Generate instrumental music only (no vocals).",
            "default": false,
            "x-ui-component": "switch"
          },
          "format": {
            "type": "string",
            "description": "Output audio format.",
            "default": "mp3",
            "enum": [
              "mp3",
              "wav",
              "pcm"
            ],
            "x-ui-component": "select"
          },
          "sample_rate": {
            "type": "integer",
            "description": "Output sample rate (Hz).",
            "default": 44100,
            "enum": [
              16000,
              24000,
              32000,
              44100
            ],
            "x-ui-component": "select"
          },
          "bitrate": {
            "type": "integer",
            "description": "Output bitrate (bps).",
            "default": 256000,
            "enum": [
              32000,
              64000,
              128000,
              256000
            ],
            "x-ui-component": "select"
          }
        },
        "required": [
          "model",
          "prompt"
        ],
        "x-order-properties": [
          "model",
          "prompt",
          "lyrics",
          "is_instrumental",
          "format",
          "sample_rate",
          "bitrate"
        ]
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "created_at": {
            "description": "ISO timestamp of when the request was created.",
            "format": "date-time",
            "type": "string"
          },
          "id": {
            "description": "Unique identifier for the prediction.",
            "type": "string"
          },
          "model": {
            "description": "Model ID used for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated music.",
            "items": {
              "type": "string",
              "x-format": "audio"
            },
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        }
      }
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

قالب موجه LLM

# minimax/music-2.6

> MiniMax text-to-music (latest): generate a full vocal or instrumental song from a style prompt plus lyrics with [Verse]/[Chorus] structure tags. Synchronous single-call generation.


## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateAudio` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `minimax/music-2.6`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  Model name.
  - Default: `"minimax/music-2.6"`
  - Options: "minimax/music-2.6"

- **`prompt`** (`string`, _required_):
  Style / mood / genre / instrumentation description, e.g. "upbeat electronic pop, female vocal, energetic, catchy hook, 120bpm". Max 2000 chars.
  - Default: `"upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm"`

- **`lyrics`** (`string`, _optional_):
  Song lyrics. Separate lines with a newline; use a blank line for a pause. Supports structure tags: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Max 3500 chars. Leave empty (with is_instrumental=true) for instrumental.
  - Default: `"[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came"`

- **`is_instrumental`** (`boolean`, _optional_):
  Generate instrumental music only (no vocals).
  - Default: `false`

- **`format`** (`string`, _optional_):
  Output audio format.
  - Default: `"mp3"`
  - Options: "mp3", "wav", "pcm"

- **`sample_rate`** (`integer`, _optional_):
  Output sample rate (Hz).
  - Default: `44100`
  - Options: 16000, 24000, 32000, 44100

- **`bitrate`** (`integer`, _optional_):
  Output bitrate (bps).
  - Default: `256000`
  - Options: 32000, 64000, 128000, 256000



**Required Parameters Example**:

```json
{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm"
}
```


**Full Example**:

```json
{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
  "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
  "is_instrumental": false,
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000
}
```


### Output Schema

The API returns the following output format:


- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created.

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction.

- **`model`** (`string`, _optional_):
  Model ID used for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated music.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "created_at": "",
  "id": "",
  "model": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateAudio" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "minimax/music-2.6",
  "prompt": "upbeat electronic pop, bright female vocal, catchy hook, energetic, 120bpm",
  "lyrics": "[Verse]\nCity lights are calling out my name\n[Chorus]\nWe are alive, we are the flame\nDancing till the morning came",
  "is_instrumental": false,
  "format": "mp3",
  "sample_rate": 44100,
  "bitrate": 256000
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/minimax/music-2.6)

Cinematic acoustic folk, warm male vocal, intimate, emotional, fingerstyle guitar, ambient textures, soft harmonies, hopeful, 90 BPM.

جارٍ التحميل...

MiniMax Music

Generate a complete song — vocals or instrumental — from a short style prompt plus lyrics, in a single synchronous call.

Highlights

Text-to-music: describe the genre/mood/instrumentation in prompt, provide lyrics with structure tags.
Structure tags in lyrics: [Intro] [Verse] [Pre Chorus] [Chorus] [Bridge] [Outro] [Inst]. Separate lines with a newline; a blank line adds a pause.
Instrumental mode via is_instrumental=true (lyrics optional).
Output is a downloadable audio file (mp3/wav/pcm), up to ~5 minutes.

Parameters

field	required	notes
`prompt`	yes	style / mood / genre / instrumentation, ≤2000 chars
`lyrics`	for vocals	lyric text with structure tags, ≤3500 chars
`is_instrumental`	no	instrumental-only, no vocals
`format`	no	`mp3` (default) / `wav` / `pcm`
`sample_rate`	no	16000 / 24000 / 32000 / 44100 (default)
`bitrate`	no	32000 / 64000 / 128000 / 256000 (default)

استكشف نماذج مماثلة

NEW

نص إلى صوت

Seed Audio 1.0

Doubao‑Audio‑Generate‑1.0 is Doubao Voice’s next‑generation audio‑generation engine. The industry‑first commercial tool creates film‑grade audio with just one prompt. It eliminates cumbersome audio‑engineering work. Creators generate publish‑ready radio dramas, podcasts and branded audio easily, shifting from a simple voice‑generator to an AI audio director. It serves audiobooks, serialized episodes and commercial audio for high‑quality narrative‑driven production.

xAI TTS v1

xAI TTS v1 is a high-fidelity text-to-speech model that converts text into natural, expressive speech with sub-second latency, supporting 20 languages and 80+ voices with fine-grained delivery control.

ElevenLabs v3 Text-to-Speech

ElevenLabs v3 Text-to-Speech model. High-quality speech generation from text prompts.

Suno chirp-auk

Suno text-to-music (chirp): generate a full song from a text prompt (and optional lyrics). Async; returns 2 variations.

Suno chirp-fenix

Suno text-to-music (chirp): generate a full song from a text prompt (and optional lyrics). Async; returns 2 variations.

Suno chirp-v3-0

Suno text-to-music (chirp): generate a full song from a text prompt (and optional lyrics). Async; returns 2 variations.

Suno chirp-v3-5

Suno text-to-music (chirp): generate a full song from a text prompt (and optional lyrics). Async; returns 2 variations.

Suno chirp-v3-5-tau

Suno text-to-music (chirp): generate a full song from a text prompt (and optional lyrics). Async; returns 2 variations.

Suno chirp-v4

Suno text-to-music (chirp): generate a full song from a text prompt (and optional lyrics). Async; returns 2 variations.

Suno chirp-v4-tau

Suno text-to-music (chirp): generate a full song from a text prompt (and optional lyrics). Async; returns 2 variations.

Suno chirp-v5

Suno text-to-music (chirp): generate a full song from a text prompt (and optional lyrics). Async; returns 2 variations.

Seed ASR 2.0

BytePlus Seed Speech recording-file recognition (ASR 2.0): transcribe an audio file to text with punctuation, ITN, sentence segmentation, speaker diarization, and 51-language support.

xAI STT v1

xAI STT v1 is a production-grade speech-to-text model that transcribes audio into accurate, formatted text. It supports 24+ languages with automatic language detection, word-level timestamps, speaker diarization, multichannel transcription, and inverse text normalization.

From

$0.002/دقيقة

واجهة برمجية واحدة لكل وسائط الذكاء الاصطناعي.

استكشف جميع النماذج

MiniMax Music 2.6 API by MiniMax

الإدخال

الإخراج

المعلمات

مثال الكود

التثبيت

المصادقة

ترويسات HTTP

إرسال طلب

إرسال طلب

نص الطلب

الاستجابة

التحقق من الحالة

مثال الاستعلام

قيم الحالة

استجابة مكتملة

Input Schema

مثال على نص الطلب

Output Schema

مثال على الاستجابة

Atlas Cloud Skills

العملاء المدعومون

التثبيت

إعداد مفتاح API

الإمكانيات

MCP Server

العملاء المدعومون

التثبيت

التكوين

الأدوات المتاحة

مخطط API

قالب موجه LLM

MiniMax Music

Highlights

Parameters

استكشف نماذج مماثلة

Seed Audio 1.0

xAI TTS v1

ElevenLabs v3 Text-to-Speech

Suno chirp-auk

Suno chirp-fenix

Suno chirp-v3-0

Suno chirp-v3-5

Suno chirp-v3-5-tau

Suno chirp-v4

Suno chirp-v4-tau

Suno chirp-v5

Seed ASR 2.0

xAI STT v1

واجهة برمجية واحدة لكل وسائط الذكاء الاصطناعي.

Join our Discord community

الإدخال

الإخراج

المعلمات

مثال الكود

التثبيت

المصادقة

ترويسات HTTP

إرسال طلب

إرسال طلب

نص الطلب

الاستجابة

التحقق من الحالة

مثال الاستعلام

قيم الحالة

استجابة مكتملة

Input Schema

مثال على نص الطلب

Output Schema

مثال على الاستجابة

Atlas Cloud Skills

العملاء المدعومون

التثبيت

إعداد مفتاح API

الإمكانيات

MCP Server

العملاء المدعومون

التثبيت

التكوين

الأدوات المتاحة