Text to Video with Background Video Loop and Mute Settings

npm install axios

import axios from "axios";

const API_BASE_URL = "https://api.pictory.ai/pictoryapis";
const CLIENT_ID = "YOUR_CLIENT_ID";
const CLIENT_SECRET = "YOUR_CLIENT_SECRET";

const STORY_TEXT =
  "AI is poised to significantly impact educators and course creators on social media. By automating tasks like content generation, visual design, and video editing, AI will save time and enhance consistency. This allows creators to focus on higher-level strategies and ensures a cohesive brand presence.";

async function createTextToVideoWithBackgroundSettings() {
  try {
    // Step 1: Get Access Token
    console.log("Step 1: Getting access token...");
    const tokenResponse = await axios.post(
      `${API_BASE_URL}/v1/oauth2/token`,
      {
        client_id: CLIENT_ID,
        client_secret: CLIENT_SECRET,
      },
      {
        headers: {
          "Content-Type": "application/json",
        },
      }
    );

    const accessToken = tokenResponse.data.access_token;
    console.log("Access token obtained successfully");

    // Step 2: Create Video with Background Video Settings
    console.log("Step 2: Creating video with background video settings...");
    const storyboardResponse = await axios.post(
      `${API_BASE_URL}/v2/video/storyboard/render`,
      {
        videoName: "text_to_video_background_settings",
        scenes: [
          {
            story: STORY_TEXT,
            createSceneOnNewLine: true,
            createSceneOnEndOfSentence: true,
            background: {
              settings: {
                mute: true, // Mute the background video audio
                loop: false, // Do not loop the background video
              },
            },
          },
        ],
      },
      {
        headers: {
          "Content-Type": "application/json",
          Authorization: accessToken,
        },
      }
    );

    const renderJobId = storyboardResponse.data.data.jobId;
    console.log("Storyboard render job created with background video settings");
    console.log("Job ID:", renderJobId, "\n");

    // Step 3: Monitor Job Status
    console.log("Step 3: Monitoring job status...");
    let jobCompleted = false;
    let jobResult = null;

    while (!jobCompleted) {
      const jobStatusResponse = await axios.get(`${API_BASE_URL}/v1/jobs/${renderJobId}`, {
        headers: {
          Authorization: accessToken,
        },
      });

      const status = jobStatusResponse.data.data.status;
      console.log("Current status:", status);

      if (status === "completed") {
        jobCompleted = true;
        jobResult = jobStatusResponse.data;
        console.log("\nVideo with background settings created successfully!");
        console.log("Video URL:", jobResult.data.videoUrl);
      } else if (status === "failed") {
        throw new Error("Job failed: " + JSON.stringify(jobStatusResponse.data));
      } else {
        // Wait 5 seconds before checking again
        await new Promise(resolve => setTimeout(resolve, 5000));
      }
    }

    return jobResult;
  } catch (error) {
    console.error("Error:", error.response?.data || error.message);
    throw error;
  }
}

// Run the function
createTextToVideoWithBackgroundSettings();

pip install requests

import requests
import time
import json

API_BASE_URL = 'https://api.pictory.ai/pictoryapis'
CLIENT_ID = 'YOUR_CLIENT_ID'
CLIENT_SECRET = 'YOUR_CLIENT_SECRET'

STORY_TEXT = "AI is poised to significantly impact educators and course creators on social media. By automating tasks like content generation, visual design, and video editing, AI will save time and enhance consistency. This allows creators to focus on higher-level strategies and ensures a cohesive brand presence."

def create_text_to_video_with_background_settings():
    try:
        # Step 1: Get Access Token
        print('Step 1: Getting access token...')
        token_response = requests.post(
            f'{API_BASE_URL}/v1/oauth2/token',
            json={
                'client_id': CLIENT_ID,
                'client_secret': CLIENT_SECRET
            },
            headers={
                'Content-Type': 'application/json'
            }
        )
        token_response.raise_for_status()

        access_token = token_response.json()['access_token']
        print('Access token obtained successfully')

        # Step 2: Create Video with Background Video Settings
        print('Step 2: Creating video with background video settings...')
        storyboard_response = requests.post(
            f'{API_BASE_URL}/v2/video/storyboard/render',
            json={
                'videoName': 'text_to_video_background_settings',
                'scenes': [
                    {
                        'story': STORY_TEXT,
                        'createSceneOnNewLine': True,
                        'createSceneOnEndOfSentence': True,
                        'background': {
                            'settings': {
                                'mute': True,  # Mute the background video audio
                                'loop': False  # Do not loop the background video
                            }
                        }
                    }
                ]
            },
            headers={
                'Content-Type': 'application/json',
                'Authorization': access_token
            }
        )
        storyboard_response.raise_for_status()

        render_job_id = storyboard_response.json()['data']['jobId']
        print('Storyboard render job created with background video settings')
        print(f'Job ID: {render_job_id}\n')

        # Step 3: Monitor Job Status
        print('Step 3: Monitoring job status...')
        job_completed = False
        job_result = None

        while not job_completed:
            job_status_response = requests.get(
                f'{API_BASE_URL}/v1/jobs/{render_job_id}',
                headers={
                    'Authorization': access_token
                }
            )
            job_status_response.raise_for_status()

            status = job_status_response.json()['data']['status']
            print(f'Current status: {status}')

            if status == 'completed':
                job_completed = True
                job_result = job_status_response.json()
                print('\nVideo with background settings created successfully!')
                print(f"Video URL: {job_result['data']['videoUrl']}")
            elif status == 'failed':
                raise Exception(f"Job failed: {json.dumps(job_status_response.json())}")
            else:
                # Wait 5 seconds before checking again
                time.sleep(5)

        return job_result

    except requests.exceptions.RequestException as error:
        print(f'Error: {error}')
        if hasattr(error, 'response') and error.response is not None:
            print(f'Response: {error.response.text}')
        raise

# Run the function
if __name__ == '__main__':
    create_text_to_video_with_background_settings()