suno/chirp-fenix

文字轉音訊

Suno chirp-fenix API by SUNO

suno/chirp-fenix

Chirp-fenix

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

輸入

提示詞 *

Make instrumental

輸出

閒置

生成的音訊將顯示在這裡

輸入文字並點擊執行以合成語音。

參數

程式碼範例
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": "suno/chirp-fenix",  # Required. Model name. options: suno/chirp-fenix
    "prompt": "upbeat indie pop about summer nights, bright female vocal, catchy chorus",  # Required. Describe the song: style, mood, genre, instrumentation, theme (and lyrics inline if desired)
    "make_instrumental": False,  # Generate an instrumental track (no vocals)
}

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()

安裝

安裝所需的相依套件。

pip install requests

驗證

所有 API 請求都需要透過 API Key 進行認證。您可以在 Atlas Cloud 控制台取得 API Key。

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

HTTP 標頭

import os

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

保護好您的 API Key

切勿在客戶端程式碼或公開儲存庫中暴露您的 API Key。請使用環境變數或後端代理。

提交請求

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())

提交請求

提交一個非同步生成請求。API 會傳回一個 prediction ID，您可以用它來檢查狀態與取得結果。

POST/api/v1/model/generateAudio

請求主體

import requests

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

data = {
    "model": "suno/chirp-fenix",
    "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']}")

回應

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

檢查狀態

輪詢 prediction 端點以檢查請求的當前狀態。

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

輪詢範例

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)

狀態值

processing請求仍在處理中。

completed生成完成，輸出可用。

succeeded生成成功，輸出可用。

failed生成失敗，請檢查 error 欄位。

完成回應

{
  "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

以下參數在請求主體中被接受。

總計: 3必填: 2選填: 1

modelstringrequired

Model name.

Default: "suno/chirp-fenix"

suno/chirp-fenix

promptstringrequired

Describe the song: style, mood, genre, instrumentation, theme (and lyrics inline if desired). e.g. "upbeat indie pop about summer nights, female vocal".

Default: "upbeat indie pop about summer nights, bright female vocal, catchy chorus"

make_instrumentalboolean

Generate an instrumental track (no vocals).

Default: false

範例請求主體

{
  "model": "suno/chirp-fenix",
  "prompt": "upbeat indie pop about summer nights, bright female vocal, catchy chorus",
  "make_instrumental": false
}

Output Schema

API 傳回包含生成輸出 URL 的 prediction 回應。

idstring

modelstring

statusstring

created|processing|completed|failed

outputsarray

Generated song URLs (2 variations).

範例回應

{
  "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

Atlas Cloud Skills 將 400+ AI 模型直接整合到您的 AI 程式碼助手中。一條命令安裝，即可用自然語言生成圖片、影片，以及與 LLM 對話。

支援的客戶端

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ 支援的客戶端

安裝

npx skills add AtlasCloudAI/atlas-cloud-skills

設定 API Key

從 Atlas Cloud 控制台取得 API Key，並將其設定為環境變數。

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

功能

安裝完成後，您可以在 AI 助手中使用自然語言存取所有 Atlas Cloud 模型。

圖片生成使用 Nano Banana 2、Z-Image 等模型生成圖片。

影片創作使用 Kling、Vidu、Veo 等從文字或圖片創建影片。

LLM 對話與 Qwen、DeepSeek 及其他大型語言模型對話。

媒體上傳上傳本機檔案用於圖片編輯和圖生影片工作流程。

MCP Server

Atlas Cloud MCP Server 透過 Model Context Protocol 將您的 IDE 與 400+ AI 模型連接。支援任何相容 MCP 的客戶端。

支援的客戶端

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ 支援的客戶端

安裝

npx -y atlascloud-mcp

設定

將以下設定新增到您的 IDE 的 MCP 設定檔中。

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

可用工具

atlas_generate_image根據文字提示生成圖片。

atlas_generate_video從文字或圖片創建影片。

atlas_chat與大型語言模型對話。

atlas_list_models瀏覽 400+ 可用 AI 模型。

atlas_quick_generate一步式內容創建，自動選擇最佳模型。

atlas_upload_media上傳本機檔案用於 API 工作流程。

了解更多

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "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": {
              "type": "string",
              "description": "Request ID"
            }
          }
        ],
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result."
          }
        }
      },
      "x-api-name": "model_result"
    }
  },
  "components": {
    "schemas": {
      "Input": {
        "type": "object",
        "properties": {
          "model": {
            "type": "string",
            "description": "Model name.",
            "default": "suno/chirp-fenix",
            "enum": [
              "suno/chirp-fenix"
            ]
          },
          "prompt": {
            "type": "string",
            "description": "Describe the song: style, mood, genre, instrumentation, theme (and lyrics inline if desired). e.g. \"upbeat indie pop about summer nights, female vocal\".",
            "default": "upbeat indie pop about summer nights, bright female vocal, catchy chorus",
            "x-ui-component": "textarea",
            "maxLength": 2000
          },
          "make_instrumental": {
            "type": "boolean",
            "description": "Generate an instrumental track (no vocals).",
            "default": false,
            "x-ui-component": "switch"
          }
        },
        "required": [
          "model",
          "prompt"
        ],
        "x-order-properties": [
          "model",
          "prompt",
          "make_instrumental"
        ]
      },
      "PredictionResponse": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "model": {
            "type": "string"
          },
          "status": {
            "type": "string",
            "description": "created|processing|completed|failed"
          },
          "outputs": {
            "type": "array",
            "description": "Generated song URLs (2 variations).",
            "items": {
              "type": "string",
              "x-format": "audio"
            }
          },
          "urls": {
            "type": "object"
          }
        }
      }
    }
  },
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ]
}

LLM 友善的提示詞範本

# suno/chirp-fenix

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


## 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**: `suno/chirp-fenix`


## 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: `"suno/chirp-fenix"`
  - Options: "suno/chirp-fenix"

- **`prompt`** (`string`, _required_):
  Describe the song: style, mood, genre, instrumentation, theme (and lyrics inline if desired). e.g. "upbeat indie pop about summer nights, female vocal".
  - Default: `"upbeat indie pop about summer nights, bright female vocal, catchy chorus"`

- **`make_instrumental`** (`boolean`, _optional_):
  Generate an instrumental track (no vocals).
  - Default: `false`



**Required Parameters Example**:

```json
{
  "model": "suno/chirp-fenix",
  "prompt": "upbeat indie pop about summer nights, bright female vocal, catchy chorus"
}
```


**Full Example**:

```json
{
  "model": "suno/chirp-fenix",
  "prompt": "upbeat indie pop about summer nights, bright female vocal, catchy chorus",
  "make_instrumental": false
}
```


### Output Schema

The API returns the following output format:


- **`id`** (`string`, _optional_):

- **`model`** (`string`, _optional_):

- **`status`** (`string`, _optional_):
  created|processing|completed|failed

- **`outputs`** (`array[string]`, _optional_):
  Generated song URLs (2 variations).

- **`urls`** (`object`, _optional_):



**Example Response**:

```json
{
  "id": "",
  "model": "",
  "status": "",
  "outputs": [
    ""
  ],
  "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": "suno/chirp-fenix",
  "prompt": "upbeat indie pop about summer nights, bright female vocal, catchy chorus",
  "make_instrumental": false
}'

# 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/suno/chirp-fenix)

dream pop, ethereal shoegaze, lush reverb guitars, floating female vocals, atmospheric, nostalgic, melancholic yet beautiful, slow tempo, starry night vibe

載入中...

Suno Music

Generate a full song — vocals or instrumental — from a text prompt, powered by Suno.

Highlights

Text-to-music: describe the style / mood / genre / theme in prompt; the model composes music + vocals to match.
Each generation returns 2 variations (audio URLs).
make_instrumental: true for an instrumental-only track.

Parameters

field	required	notes
`prompt`	yes	song description (style, mood, theme), ≤2000 chars
`make_instrumental`	no	instrumental only, no vocals

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.

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.

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/分鐘

一個 API，暢享全模態 AI。

探索全部模型

Suno chirp-fenix API by SUNO

輸入

輸出

參數

程式碼範例

安裝

驗證

HTTP 標頭

提交請求

提交請求

請求主體

回應

檢查狀態

輪詢範例

狀態值

完成回應

Input Schema

範例請求主體

Output Schema

範例回應

Atlas Cloud Skills

支援的客戶端

安裝

設定 API Key

功能

MCP Server

支援的客戶端

安裝

設定

可用工具

API Schema

LLM 友善的提示詞範本

Suno Music

Highlights

Parameters

探索類似模型

Suno chirp-auk

Suno chirp-v3-0

Suno chirp-v3-5

Suno chirp-v3-5-tau

Suno chirp-v4

Suno chirp-v4-tau

Suno chirp-v5

Seed Audio 1.0

xAI TTS v1

ElevenLabs v3 Text-to-Speech

MiniMax Music 2.6

Seed ASR 2.0

xAI STT v1

一個 API，暢享全模態 AI。

Join our Discord community

輸入

輸出

參數

程式碼範例

安裝

驗證

HTTP 標頭

提交請求

提交請求

請求主體

回應

檢查狀態

輪詢範例

狀態值

完成回應

Input Schema

範例請求主體

Output Schema

範例回應

Atlas Cloud Skills

支援的客戶端

安裝

設定 API Key

功能

MCP Server

支援的客戶端

安裝

設定

可用工具