Eleven Turbo v2.5
eleven_turbo_v2_5
eleven_turbo_v2_5. Duyệt API mô hình ảnh, video và đổi khuôn mặt. Thử mô hình rồi tích hợp qua một API REST thống nhất.
Mô hình liên quan
Đầy đủ tham số, lược đồ đầu ra và giá hiện tại
| Chợ API mô hình AI | Một nền tảng cho mọi thứ | Phổ biến nhất | Điều khoản | Duyệt API mô hình ảnh, video và đổi khuôn mặt. Thử mô hình rồi tích hợp qua một API REST thống nhất. |
|---|---|---|---|---|
| voice_id *Voice ID | text | — | — | |
| language_codeLanguage Code | text | — | — | |
| similarity_boostSimilarity Boost | slider | 0.75 | 0 ~ 1 · step 0.05 | |
| stabilityStability | slider | 0.5 | 0 ~ 1 · step 0.05 |
Đầy đủ tham số, lược đồ đầu ra và giá hiện tại
| Tìm hiểu thêm | Một nền tảng cho mọi thứ | Duyệt API mô hình ảnh, video và đổi khuôn mặt. Thử mô hình rồi tích hợp qua một API REST thống nhất. |
|---|---|---|
| audio_url | string |
API
Duyệt API mô hình ảnh, video và đổi khuôn mặt. Thử mô hình rồi tích hợp qua một API REST thống nhất.
cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/eleven_turbo_v2_5" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"voice_id": "JBFqnCBsd6RMkjVDRZzb",
"language_code": "en",
"similarity_boost": 0.8,
"stability": 0.55
}
}'
# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
-H "Authorization: Bearer YOUR_API_KEY"Python
import time, requests
API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}
# 1) Submit
resp = requests.post(
"https://www.namifusion.com/api/v1/marketplace/run/eleven_turbo_v2_5",
headers=HEADERS,
json={
"input": {
"voice_id": "JBFqnCBsd6RMkjVDRZzb",
"language_code": "en",
"similarity_boost": 0.8,
"stability": 0.55
}
},
)
resp.raise_for_status() # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()
# 2) Poll until a terminal state (completed / failed / cancelled).
# This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
if time.time() > deadline:
raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
time.sleep(3)
poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
poll.raise_for_status()
task = poll.json()
print(task["status"], task.get("output"))JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };
// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/eleven_turbo_v2_5", {
method: "POST",
headers: { ...HEADERS, "Content-Type": "application/json" },
body: JSON.stringify({
"input": {
"voice_id": "JBFqnCBsd6RMkjVDRZzb",
"language_code": "en",
"similarity_boost": 0.8,
"stability": 0.55
}
}),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();
// 2) Poll until a terminal state (completed / failed / cancelled).
// This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
await new Promise((r) => setTimeout(r, 3000));
const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
task = await poll.json();
}
console.log(task.status, task.output);Tài liệu API
Turbo V2.5
A fast, cost-efficient text-to-speech model for natural and expressive voice generation.
Turbo V2.5 is an ElevenLabs text-to-speech model available on MaaS. It is designed for teams that need strong voice quality, fast turnaround, and predictable cost, making it well suited for production-grade audio generation. With no cold starts and ready-to-use inference performance, it fits both real-time and batch content workflows.
🚀 Key Features
- Natural, expressive speech: Produces clear pronunciation, smooth pacing, and humanlike prosody for polished voice output.
- Fast generation with no cold start: Delivers responsive performance for high-throughput production pipelines.
- Rich voice selection: Supports a broad set of
voice_idoptions, making it easy to match different brands, characters, or content styles. - Fine-grained voice control: Tune
similarityandstabilityto balance speaker likeness, clarity, and consistency. - Improved English normalization:
use_speaker_boosthelps with English numbers, dates, times, and measurement-heavy scripts. - Affordable pricing: Low per-character cost makes it practical for both prototyping and scaled deployment.
🛠️ Technical Specifications
| Item | Details |
|---|---|
| Model architecture | Text-to-speech(TTS) |
| Model name | Turbo V2.5 |
| Input format | Text(string) |
| Output format | Audio |
| Maximum input length | 10,000 characters |
| Tokenization rule | Each character counts as 1 token |
| Voice selection | Set via voice_id such as Alice, Callum, Gigi, and others |
| Similarity control | similarity: 0.0–1.0; higher values increase target voice likeness but may introduce artifacts |
| Stability control | stability: 0.0–1.0; higher values generally improve delivery consistency |
| English enhancement | use_speaker_boost: improves normalization and reading of English numbers and units |
| Pause control | Insert <#x#> between words to control pauses from 0.01 to 99.99 seconds |
| Latency | Fast inference suitable for production workflows |
| Cold start | None |
| Language support | Multilingual voice support, with strong English reading performance |
Sample prompts
Note: This is a text-to-speech model, so the examples below are sample input scripts.
Welcome to our advanced text-to-speech system! Experience high-quality voice synthesis with natural pronunciation and clear articulation.Today we shipped 12,450 units in Q3, with delivery scheduled at 8:30 AM on October 15th.Please wait <#1.2#> your verification code is 4829 <#0.8#> and will expire in five minutes.
💰 Pricing
| Item | Price |
|---|---|
| Text-to-speech | $0.05 per 1,000 characters |
💡 Best Use Cases
- Voiceovers and narration: Ideal for explainer videos, tutorials, podcasts, and branded media.
- Business audio automation: Useful for alerts, announcements, customer messaging, and information playback.
- Finance and data-heavy scripts: Especially effective for content with numbers, dates, times, and measurements.
- Multi-voice digital content: Great for teams producing character-driven or brand-specific audio at scale.
🔗 Related Models
- Elevenlabs Turbo V2: An earlier Turbo-series option for users comparing speed, quality, and cost.
- Elevenlabs Voice Changer: A complementary model for voice transformation workflows.
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