curl --request POST \
--url https://toapis.com/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "grok-video-1.0",
"prompt": "一只金毛犬在草地上奔跑,阳光明媚",
"duration": 10,
"resolution": "720p",
"aspect_ratio": "16:9"
}'
curl --request POST \
--url https://toapis.com/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "grok-video-1.0",
"prompt": "让这只狗动起来,在草地上奔跑",
"image": "https://example.com/dog.jpg",
"reference_images": [
"https://example.com/clothes.jpg",
"https://example.com/scene.jpg"
],
"duration": 10,
"resolution": "480p",
"aspect_ratio": "16:9"
}'
import requests
response = requests.post(
"https://toapis.com/v1/videos/generations",
headers={
"Authorization": "Bearer your-ToAPIs-key",
"Content-Type": "application/json"
},
json={
"model": "grok-video-1.0",
"prompt": "一只金毛犬在草地上奔跑,阳光明媚",
"duration": 10,
"resolution": "720p",
"aspect_ratio": "16:9"
}
)
task = response.json()
print(f"任务 ID: {task['id']}")
print(f"状态: {task['status']}")
const response = await fetch('https://toapis.com/v1/videos/generations', {
method: 'POST',
headers: {
'Authorization': 'Bearer your-ToAPIs-key',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'grok-video-1.0',
prompt: '一只金毛犬在草地上奔跑,阳光明媚',
duration: 10,
resolution: '720p',
aspect_ratio: '16:9'
})
});
const task = await response.json();
console.log(`任务 ID: ${task.id}`);
console.log(`状态: ${task.status}`);
{
"id": "video_abc123def456",
"object": "generation.task",
"model": "grok-video-1.0",
"status": "queued",
"progress": 0,
"created_at": 1768380224,
"metadata": {}
}
Grok Video
Grok 视频生成
使用 Grok Video 模型生成高质量视频
POST
/
v1
/
videos
/
generations
curl --request POST \
--url https://toapis.com/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "grok-video-1.0",
"prompt": "一只金毛犬在草地上奔跑,阳光明媚",
"duration": 10,
"resolution": "720p",
"aspect_ratio": "16:9"
}'
curl --request POST \
--url https://toapis.com/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "grok-video-1.0",
"prompt": "让这只狗动起来,在草地上奔跑",
"image": "https://example.com/dog.jpg",
"reference_images": [
"https://example.com/clothes.jpg",
"https://example.com/scene.jpg"
],
"duration": 10,
"resolution": "480p",
"aspect_ratio": "16:9"
}'
import requests
response = requests.post(
"https://toapis.com/v1/videos/generations",
headers={
"Authorization": "Bearer your-ToAPIs-key",
"Content-Type": "application/json"
},
json={
"model": "grok-video-1.0",
"prompt": "一只金毛犬在草地上奔跑,阳光明媚",
"duration": 10,
"resolution": "720p",
"aspect_ratio": "16:9"
}
)
task = response.json()
print(f"任务 ID: {task['id']}")
print(f"状态: {task['status']}")
const response = await fetch('https://toapis.com/v1/videos/generations', {
method: 'POST',
headers: {
'Authorization': 'Bearer your-ToAPIs-key',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'grok-video-1.0',
prompt: '一只金毛犬在草地上奔跑,阳光明媚',
duration: 10,
resolution: '720p',
aspect_ratio: '16:9'
})
});
const task = await response.json();
console.log(`任务 ID: ${task.id}`);
console.log(`状态: ${task.status}`);
{
"id": "video_abc123def456",
"object": "generation.task",
"model": "grok-video-1.0",
"status": "queued",
"progress": 0,
"created_at": 1768380224,
"metadata": {}
}
- Grok Video 视频生成模型
- 通过 model 参数选择
grok-video-1.0模型 - 支持文本到视频、图生视频
- 异步任务管理,通过任务 ID 查询结果
重要变更:为了更好的性能和成本控制,我们不再支持在
reference_images 中直接传入 base64 图片数据。请先使用 上传图片接口 上传图片,获取 URL 后再调用本接口。Authorizations
string
必填
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
Body
string
默认值:"grok-video-1.0"
必填
视频生成模型名称支持的模型:
grok-video-1.0- Grok 视频生成模型
"grok-video-1.0"string
必填
视频生成的文本描述
integer
默认值:"8"
视频时长(秒)支持范围:
1–15 秒string
默认值:"720p"
视频分辨率支持的值:
480p、720pstring
视频宽高比支持的格式:
16:9(横屏)9:16(竖屏)3:2(横屏)2:3(竖屏)1:1(方形)
string
可选主图 URL。仅支持公网可访问的
http:// 或 https:// 地址。string[]
可选参考图 URL 数组,可用于人物、服装和场景一致性参考。
- 仅支持公网 URL,不支持 base64
image与reference_images合计最多 8 张- 可使用 上传图片接口 上传本地图片获取 URL
Response
string
任务唯一标识符,用于查询任务状态
string
对象类型,固定为
generation.taskstring
使用的模型名称
string
任务状态
queued- 排队等待处理in_progress- 处理中completed- 成功完成failed- 失败
integer
任务创建时间戳(Unix 时间戳)
integer
任务进度,提交成功时通常为
0object
任务元数据
curl --request POST \
--url https://toapis.com/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "grok-video-1.0",
"prompt": "一只金毛犬在草地上奔跑,阳光明媚",
"duration": 10,
"resolution": "720p",
"aspect_ratio": "16:9"
}'
curl --request POST \
--url https://toapis.com/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "grok-video-1.0",
"prompt": "让这只狗动起来,在草地上奔跑",
"image": "https://example.com/dog.jpg",
"reference_images": [
"https://example.com/clothes.jpg",
"https://example.com/scene.jpg"
],
"duration": 10,
"resolution": "480p",
"aspect_ratio": "16:9"
}'
import requests
response = requests.post(
"https://toapis.com/v1/videos/generations",
headers={
"Authorization": "Bearer your-ToAPIs-key",
"Content-Type": "application/json"
},
json={
"model": "grok-video-1.0",
"prompt": "一只金毛犬在草地上奔跑,阳光明媚",
"duration": 10,
"resolution": "720p",
"aspect_ratio": "16:9"
}
)
task = response.json()
print(f"任务 ID: {task['id']}")
print(f"状态: {task['status']}")
const response = await fetch('https://toapis.com/v1/videos/generations', {
method: 'POST',
headers: {
'Authorization': 'Bearer your-ToAPIs-key',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'grok-video-1.0',
prompt: '一只金毛犬在草地上奔跑,阳光明媚',
duration: 10,
resolution: '720p',
aspect_ratio: '16:9'
})
});
const task = await response.json();
console.log(`任务 ID: ${task.id}`);
console.log(`状态: ${task.status}`);
{
"id": "video_abc123def456",
"object": "generation.task",
"model": "grok-video-1.0",
"status": "queued",
"progress": 0,
"created_at": 1768380224,
"metadata": {}
}
⌘I