Topic to Video
Describe the process of creating video content by conveying the topic.
1. Make a request
Please request project creation by delivering the topic and options.
1-1. API endpoint
https://app.aistudios.com/api/odin/v3/automation/topic_to_video
1-2. Request parameter
key | desc | type | required | default |
---|---|---|---|---|
topic | Topic for creating videos | String | true | - |
options | Configuration for video generation | Json | false | |
options.language | The language used in the video The language code follows the ISO 639-1 standard. | String | false | - |
options.duration | Video Time ( 30 | 60 | 90 | 120 | 150 | 180 ) | Number | false | - |
options.objective | Objectives of video footage (e.g. publicity, education, explanation) | String | false | - |
options.audience | Target audience for video footage (e.g. marketers, students) | String | false | - |
options.tone | The tone of a video video (e.g. clearly, formally) | String | false | - |
options.speed | Video playback speed relative to original speed ( 0.5 ~ 1.5 ) | Number | false | 1 |
options.media | Image information used to create video ( search | free | premium | generative ) | String | false | - |
options.useGenerativeHighQuality | Enabling High-Definition AI Media (valid only for options.media='generative') ( true | false ) | Boolean | false | false |
options.style | Style information (valid only for options.media='generative') ( realistic | digitalPainting | sketch | oilPainting | pixelArt | watercolor | lowPoly | cyberpunk | fantasy | anime ) | String | false | realistic |
options.templateId | template id to use for video creation | String | false | - |
options.model | model id to use for video generation | String | false | - |
options.voiceOnly | Only the voice of the model used to create the video ( true | false ) | Boolean | false | false |
1-3. Response Parameters
key | desc | type |
---|---|---|
projectId | ID of the video project created | String |
automationJobId | Job ID requested to create a video | String |
1-4. Sample Request
- cURL
- Node.js
- Python
curl https://app.aistudios.com/api/odin/v3/automation/topic_to_video \
-H "Authorization: ${API KEY}" \
-H "Content-Type: application/json" \
-X POST \
-d '{
"topic" : "What is K-culture?",
"options" : {
"language": "en",
"speed": 1,
"media": "generative",
"useGenerativeHighQuality": true,
"style": "digitalPainting",
"templateId": "## template id ##",
"model": "## model id ##",
"voiceOnly": false
}
}'
import axios from "axios";
const token = ${API KEY};
const customWebhookUrl = ${webhook_delivery_address};
axios.post('https://app.aistudios.com/api/odin/v3/automation/topic_to_video',
{
"topic" : "What is K-culture?",
"options" : {
"language": "en",
"speed": 1,
"media": "generative",
"useGenerativeHighQuality": true,
"style": "digitalPainting",
"templateId": "## template id ##",
"model": "## model id ##",
"voiceOnly": false
}
},
{
headers: {
'Authorization': ${token},
'Content-Type': 'application/json'
}
}
)
.then((res) => {
console.log(res.data);
})
.catch((error) => {
console.error(error);
})
import requests
import json
url = "https://app.aistudios.com/api/odin/v3/automation/topic_to_video"
body = {
"topic" : "What is K-culture?",
"options" : {
"language": "en",
"speed": 1,
"media": "generative",
"useGenerativeHighQuality": true,
"style": "digitalPainting",
"templateId": "## template id ##",
"model": "## model id ##",
"voiceOnly": false
}
}
headers = {
"Content-Type": "application/json",
"Authorization": ${API TOKEN}
}
r = requests.post(url, data=json.dumps(body), headers=headers)
2. Check the progress of project creation
Create a video after request Check your current progress.
2-1. Api endpoint
GET https://app.aistudios.com/api/odin/v3/automation/progress?projectId=${projectId}
2-2. Response Parameters
Key | Description | Type |
---|---|---|
state | Current state of the automation process | String |
progress | Video Generation Completion Rate | Number |
2-3. Sample request
import axios from "axios";
const projectId = "your_project_id";
const token = "your_api_key";
axios.get(`https://app.aistudios.com/api/odin/v3/automation/progress/${projectId}`, {}, {
headers: {
"Authorization": token,
"Content-Type": "application/json"
}
})
.then((res) => {
console.log(res.data)
})
.catch((error) => {
console.error(error)
});
3. Export
Use Project Export to Project a video of a created project.
4. Full Code
const API_HOST = 'https://app.aistudios.com'
const GET_TOKEN_API_PATH = '/api/odin/v3/auth/token'
const CREATE_API_PATH = '/api/odin/v3/automation/topic_to_video'
const CREATE_PROGRESS_API_PATH = '/api/odin/v3/automation/progress'
const EXPORT_API_PATH = '/api/odin/v3/editor/project/export'
const EXPORT_PROGRESS_API_PATH = '/api/odin/v3/editor/progress'
const appId = '## your appId ##'
const userKey = '## your userKey ##'
const topic = "What is K-culture?";
const options = {
"language": "en",
// "duration": 60,
// "objective": "education",
// "audience": "students",
// "tone": "clearly",
"speed": 1,
// "media": "generative",
// "useGenerativeHighQuality": true,
// "style": "digitalPainting",
"templateId": "## template id ##",
"model": "## model id ##", // Michael
"voiceOnly": false,
};
const delay = async (ms = 1000 * 60) => {
await new Promise(r => setTimeout(r, ms))
}
const main = async () => {
try {
/**
* get api token
*/
const token = await fetch(
`${API_HOST}${GET_TOKEN_API_PATH}`,
{
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
appId,
userKey
})
}
)
.then((response) => response.json())
.then((response) => {
if (response.success == true) {
return response.data.token
} else {
console.error(`import authentication token error, code:`, response.error.code, `, msg:`, response.error.msg);
throw Error(response);
}
});
console.log('token : ', token);
/**
* create project
*/
const projectId = await fetch(
`${API_HOST}${CREATE_API_PATH}`,
{
method: 'POST',
headers: {
Authorization: token,
'Content-Type': 'application/json',
},
body: JSON.stringify({
"topic": topic,
"options": options
})
}
)
.then((response) => response.json())
.then((response) => {
if (response.success == true) {
return response.data.projectId
} else {
console.error(`create project error, code:`, response.error.code, `, msg:`, response.error.msg);
throw Error(response);
}
});
console.log('request create project, projectId : ', projectId);
/**
* project progress
*/
let isCreateProjectFinish = false
while (!isCreateProjectFinish) {
const progressData = await fetch(
`${API_HOST}${CREATE_PROGRESS_API_PATH}/?projectId=${projectId}`,
{
method: 'GET',
headers: {
Authorization: token,
},
},
)
.then((response) => response.json())
.then((response) => {
if (response.success === true) {
return response.data
} else {
console.error(`project progress error, code:`, response.error.code, `, msg:`, response.error.msg);
throw Error(response);
}
})
console.log('project creation progress, state: ', progressData.state, ', progress : ', progressData.progress);
if (progressData.state === "finish" && progressData.progress === 100) {
isCreateProjectFinish = true
} else {
await delay()
}
}
/**
* export project
*/
await fetch(
`${API_HOST}${EXPORT_API_PATH}`,
{
method: 'POST',
headers: {
Authorization: token,
'Content-Type': 'application/json',
},
body: JSON.stringify({
"projectId": projectId
})
}
)
.then((response) => response.json())
.then((response) => {
if (response.success == true) {
return response.data.projectId
} else {
console.error(`export project error, code:`, response.error.code, `, msg:`, response.error.msg);
throw Error(response);
}
});
console.log('request export project');
/**
* export progress
*/
let isExportFinish = false
let videoUrl = ''
while (!isExportFinish) {
const progressData = await fetch(
`${API_HOST}${EXPORT_PROGRESS_API_PATH}/${projectId}`,
{
method: 'GET',
headers: {
Authorization: token,
}
},
)
.then((response) => response.json())
.then((response) => {
if (response.success === true) {
return response.data
} else {
console.error(`export progress error, code:`, response.error.code, `, msg:`, response.error.msg);
throw Error(response);
}
})
console.log(`export `, progressData.state, `, progress : `, progressData.progress)
if (progressData.progress < 100) {
await delay()
} else {
videoUrl = progressData.downloadUrl
isExportFinish = true
}
}
console.log('videoUrl :', videoUrl);
} catch (error) {
// ...
}
console.log('finish');
}
main()