OmniHuman-1.5 数字人视频生成
curl --request POST \
--url https://api.evolink.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "omnihuman-1.5",
"audio_url": "https://example.com/audio.mp3",
"image_urls": [
"https://example.com/person.jpg"
]
}
'import requests
url = "https://api.evolink.ai/v1/videos/generations"
payload = {
"model": "omnihuman-1.5",
"audio_url": "https://example.com/audio.mp3",
"image_urls": ["https://example.com/person.jpg"]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'omnihuman-1.5',
audio_url: 'https://example.com/audio.mp3',
image_urls: ['https://example.com/person.jpg']
})
};
fetch('https://api.evolink.ai/v1/videos/generations', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.evolink.ai/v1/videos/generations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'omnihuman-1.5',
'audio_url' => 'https://example.com/audio.mp3',
'image_urls' => [
'https://example.com/person.jpg'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.evolink.ai/v1/videos/generations"
payload := strings.NewReader("{\n \"model\": \"omnihuman-1.5\",\n \"audio_url\": \"https://example.com/audio.mp3\",\n \"image_urls\": [\n \"https://example.com/person.jpg\"\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.evolink.ai/v1/videos/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"omnihuman-1.5\",\n \"audio_url\": \"https://example.com/audio.mp3\",\n \"image_urls\": [\n \"https://example.com/person.jpg\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.evolink.ai/v1/videos/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"omnihuman-1.5\",\n \"audio_url\": \"https://example.com/audio.mp3\",\n \"image_urls\": [\n \"https://example.com/person.jpg\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"created": 1757169743,
"id": "task-unified-1757169743-7cvnl5zw",
"model": "omnihuman-1.5",
"object": "video.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"can_cancel": false,
"estimated_time": 120,
"video_duration": 10
},
"type": "video",
"usage": {
"billing_rule": "per_second",
"credits_reserved": 10,
"user_group": "default"
}
}{
"error": {
"code": "invalid_request",
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": "unauthorized",
"message": "Invalid or expired token",
"type": "authentication_error"
}
}{
"error": {
"code": "insufficient_quota",
"message": "Insufficient quota. Please top up your account.",
"type": "insufficient_quota"
}
}{
"error": {
"code": "model_access_denied",
"message": "Token does not have access to model: omnihuman-1.5",
"type": "invalid_request_error"
}
}{
"error": {
"code": "rate_limit_exceeded",
"message": "Too many requests, please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": "internal_error",
"message": "Internal server error",
"type": "api_error"
}
}OmniHuman
OmniHuman-1.5 数字人视频生成
- OmniHuman-1.5 (omnihuman-1.5) 模型可生成音频驱动的数字人视频
- 异步处理模式,使用返回的任务ID 进行查询
- 生成的视频链接有效期为24小时,请尽快保存
注意:
- 音频时长限制:最长35秒
- 支持的音频格式:MP3、WAV
- 按音频时长计费(向上取整到秒)
POST
/
v1
/
videos
/
generations
OmniHuman-1.5 数字人视频生成
curl --request POST \
--url https://api.evolink.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "omnihuman-1.5",
"audio_url": "https://example.com/audio.mp3",
"image_urls": [
"https://example.com/person.jpg"
]
}
'import requests
url = "https://api.evolink.ai/v1/videos/generations"
payload = {
"model": "omnihuman-1.5",
"audio_url": "https://example.com/audio.mp3",
"image_urls": ["https://example.com/person.jpg"]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'omnihuman-1.5',
audio_url: 'https://example.com/audio.mp3',
image_urls: ['https://example.com/person.jpg']
})
};
fetch('https://api.evolink.ai/v1/videos/generations', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.evolink.ai/v1/videos/generations",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'omnihuman-1.5',
'audio_url' => 'https://example.com/audio.mp3',
'image_urls' => [
'https://example.com/person.jpg'
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.evolink.ai/v1/videos/generations"
payload := strings.NewReader("{\n \"model\": \"omnihuman-1.5\",\n \"audio_url\": \"https://example.com/audio.mp3\",\n \"image_urls\": [\n \"https://example.com/person.jpg\"\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.evolink.ai/v1/videos/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"omnihuman-1.5\",\n \"audio_url\": \"https://example.com/audio.mp3\",\n \"image_urls\": [\n \"https://example.com/person.jpg\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.evolink.ai/v1/videos/generations")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"omnihuman-1.5\",\n \"audio_url\": \"https://example.com/audio.mp3\",\n \"image_urls\": [\n \"https://example.com/person.jpg\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"created": 1757169743,
"id": "task-unified-1757169743-7cvnl5zw",
"model": "omnihuman-1.5",
"object": "video.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"can_cancel": false,
"estimated_time": 120,
"video_duration": 10
},
"type": "video",
"usage": {
"billing_rule": "per_second",
"credits_reserved": 10,
"user_group": "default"
}
}{
"error": {
"code": "invalid_request",
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": "unauthorized",
"message": "Invalid or expired token",
"type": "authentication_error"
}
}{
"error": {
"code": "insufficient_quota",
"message": "Insufficient quota. Please top up your account.",
"type": "insufficient_quota"
}
}{
"error": {
"code": "model_access_denied",
"message": "Token does not have access to model: omnihuman-1.5",
"type": "invalid_request_error"
}
}{
"error": {
"code": "rate_limit_exceeded",
"message": "Too many requests, please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": "internal_error",
"message": "Internal server error",
"type": "api_error"
}
}授权
##所有接口均需要使用Bearer Token进行认证##
获取 API Key:
访问 API Key 管理页面 获取您的 API Key
使用时在请求头中添加:
Authorization: Bearer YOUR_API_KEY
请求体
application/json
数字人视频生成模型名称
可用选项:
omnihuman-1.5 示例:
"omnihuman-1.5"
驱动唇形同步和身体动作的音频URL
注意:
- 音频时长上限:
35秒 - 支持格式:
.mp3、.wav - 音频URL需要服务器能直接访问
- 按音频时长计费(向上取整到秒)
示例:
"https://example.com/audio.mp3"
参考图像URL列表,包含需要驱动人物的参考图像
注意:
- 单次请求支持输入图像数量:
1张 - 图像应包含清晰的人物形象
- 图像大小:不超过
10MB - 支持的文件格式:
.jpg、.jpeg、.png、.webp - 图像URL需要服务器能直接查看
Maximum array length:
1示例:
["https://example.com/person.jpg"]
可选的文本提示,用于引导生成风格,仅限中文、英语、日语、韩语、墨西哥语、印尼语
示例:
"A person speaking naturally with subtle expressions"
启用快速处理模式
注意:
true:更快生成,但质量可能略低false:标准质量处理(默认)
示例:
false
用于指定动画区域的遮罩URL数组
注意:
- 可选参数,用于高级控制
- 遮罩图像应与参考图像尺寸匹配
示例:
["https://example.com/mask.png"]
随机种子,作为确定扩散初始状态的基础,默认随机。若随机种子为相同正整数且其他参数均一致,则生成内容有概率效果一致
启用主体检测以验证图像中是否存在人物
注意:
true:启用主体检测,请求发起时间会增长false:跳过主体检测(默认)
示例:
false
启用自动遮罩生成
注意:
true:自动检测并遮罩人物形象,请求发起时间会增长,mask_url参数有值时此参数不生效false:使用提供的mask_url或不使用遮罩(默认)
示例:
false
任务完成后的HTTPS回调地址
回调时机:
- 任务完成(completed)、失败(failed)或取消(cancelled)时触发
- 在计费确认完成后发送
安全限制:
- 仅支持HTTPS协议
- 禁止回调到内网IP地址(127.0.0.1、10.x.x.x、172.16-31.x.x、192.168.x.x等)
- URL长度不超过
2048字符
回调机制:
- 超时时间:
10秒 - 失败后最多重试
3次(会分别在失败的1秒/2秒/4秒后进行重试) - 回调响应体格式与任务查询接口返回的格式一致
- 回调地址若返回2xx状态码视为成功,其他状态码会触发重试
示例:
"https://your-domain.com/webhooks/video-task-completed"
响应
数字人视频生成任务创建成功
任务创建时间戳
示例:
1757169743
任务ID
示例:
"task-unified-1757169743-7cvnl5zw"
实际使用的模型名称
示例:
"omnihuman-1.5"
任务的具体类型
可用选项:
video.generation.task 任务进度百分比 (0-100)
必填范围:
0 <= x <= 100示例:
0
任务状态
可用选项:
pending, processing, completed, failed 示例:
"pending"
视频任务详细信息
Show child attributes
Show child attributes
任务的输出类型
可用选项:
text, image, audio, video 示例:
"video"
使用量和计费信息
Show child attributes
Show child attributes