HappyHorse 1.1 API

文字、图片和reference-to-video合一模型。电影般的动作,最多9个参考元素中的角色一致性,以及同步的原生音频。

Alibaba Cloud视频生成发布日期 Jun 22, 2026Singapore专有端点

About HappyHorse 1.1

文字、图片和reference-to-video合一模型。电影般的动作,最多9个参考元素中的角色一致性,以及同步的原生音频。

也称为 Alibaba Cloud HappyHorse 1.1, HappyHorse-1.1, happyhorse-1-1

video generationimage to videoreference to videoaudio sync

HappyHorse 1.1 specs

模型 ID
happyhorse-1-1
提供方
Alibaba Cloud
类别
视频生成
Released
Jun 22, 2026
输入
TextImage
输出
Video
区域
Singapore
端点
POST /v1/videos/generations

HappyHorse 1.1 API pricing

Live pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.

类型
规格
价格
720页
每秒钟
$0.14
1080p (简体中文).
每秒钟
$0.18
在完整价格页比较

How to call the HappyHorse 1.1 API

HappyHorse 1.1 runs through POST /v1/videos/generations. The request returns a job_id right away; poll GET /v1/jobs/{job_id} until the job completes and read the output URLs from the result. Get an API key from the EmpirioLabs dashboard.

cURL: submit the job
curl https://api.empiriolabs.ai/v1/videos/generations \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "happyhorse-1-1",
    "prompt": "Describe what you want HappyHorse 1.1 to generate."
  }'
cURL: poll for the result
curl https://api.empiriolabs.ai/v1/jobs/JOB_ID \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY"
Python
import requests

response = requests.post(
    "https://api.empiriolabs.ai/v1/videos/generations",
    headers={"Authorization": "Bearer YOUR_EMPIRIOLABS_API_KEY"},
    json={
        "model": "happyhorse-1-1",
        "prompt": "Describe what you want HappyHorse 1.1 to generate.",
    },
)
job = response.json()

# Generation runs as an async job. Poll until it completes.
import time
while True:
    status = requests.get(
        f"https://api.empiriolabs.ai/v1/jobs/{job['job_id']}",
        headers={"Authorization": "Bearer YOUR_EMPIRIOLABS_API_KEY"},
    ).json()
    if status.get("status") in ("completed", "failed"):
        print(status)
        break
    time.sleep(5)
Full HappyHorse 1.1 API reference

HappyHorse 1.1 API parameters

Request parameters supported by the HappyHorse 1.1 API on EmpirioLabs. Defaults apply when a field is omitted.

参数类型默认范围 / 值描述
promptstring--Describe the scene to generate. Up to 2,500 characters.
modeenumautoauto, t2v, i2v, r2vAuto detects from attachments. t2v: text-to-video. i2v: animate one image. r2v: reference-to-video from up to 9 images.
imagestring--Image URL or upload. One image for image-to-video, up to 9 for reference-to-video. Reference them in the prompt as character1, character2.
aspect_ratioenum16:916:9, 9:16, 1:1, 4:3, 3:4Aspect ratio of the output. Used by text-to-video and reference-to-video; image-to-video follows the source image.
resolutionenum720p720p, 1080pOutput resolution. 720p renders faster; 1080p is higher fidelity.
durationnumber53 to 15Clip length in seconds (3 to 15).
seednumber-0 to 2147483647Reproducibility seed. Reuse the same seed for a repeatable result.
watermarkbooleanfalse-Add a watermark to the generated video. Off by default.

须知

模式(某一型号)- 文本转视频 - 图像到视频 - 引用视频(最多9张图片) 约束 - 720p / 1080p,每代3到15秒 - 提示最多2500字符 宽高比 - 文本和参考模式:16:9、9:16、1:1、4:3、3:4 - 图像转视频跟随源图像 原生音频自动生成。

HappyHorse 1.1 API: common questions

How much does the HappyHorse 1.1 API cost?

On EmpirioLabs, HappyHorse 1.1 is billed pay as you go: 720页 $0.14 每秒钟; 1080p (简体中文). $0.18 每秒钟. The live rate card on this page always matches what the API charges.

Which endpoint does HappyHorse 1.1 use?

HappyHorse 1.1 is served through POST /v1/videos/generations on api.empiriolabs.ai with standard bearer-token authentication.

Can I try HappyHorse 1.1 in the browser before integrating?

Yes. The EmpirioLabs playground runs HappyHorse 1.1 in the browser with the same parameters the API exposes, so you can test prompts before writing code.

How do I get a HappyHorse 1.1 API key?

Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.

Ready to use better endpoints?

Check out our pricing or reach out if you want your own model deployed on our stack.