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Building SaaS AI Video Generator App | Runway, Gemini, DALLE-E & Cloudinary (EP02)

Science & Technology


Introduction

In this second part of our series, we continue building our AI video generator application aimed at automating social media content creation. If you missed the first episode, you can find it on my channel. I’m excited to share the modest progress I’ve made and the challenges I'm currently tackling.

Project Overview

The current focus is on creating a functional user interface (UI) that may appear basic but is designed to prioritize functionality over aesthetics for now. This allows me to concentrate on testing features without the distraction of design.

Progress Update

I’ve developed a Progress Component to help both myself and users visualize the progress of the tasks. The current homepage may look simple, but it encapsulates essential functionalities.

Notably, I’ve borrowed concepts from a previous project aimed at generating long YouTube script ideas. For example, after selecting a theme, such as robotics, users can choose to explore various topics. When a user selects a topic, they’re presented with an outline comprising six different chapters.

The application allows users to interact by modifying outlines and scripts. For instance, if a user wants "no intro or conclusion," they can adjust the settings before the script generation process begins.

Script Generation

The script generation works efficiently, creating concise and conversational outputs in a matter of seconds. With options to select different tones and styles, users can generate scripts tailored to their preferences.

After creating the script, users are taken to a new screen labeled "Voice Over." I’m using 11 Labs’ API for text-to-speech functionality, which allows users to preview the voice before generating a downloadable audio file.

Image Generation

Next, I’m integrating Gemini from Google to produce prompts for AI image generation. These prompts will be used with DALL-E from OpenAI to create images related to each chapter of the script. This will enable the generation of visual content that complements the video.

However, I've encountered challenges with accessing certain APIs for video clip generation. The initial steps involve sending image prompts to DALL-E. I will also need to ensure cost management, balancing expenses related to audio, images, and video clips.

Future Plans

Looking ahead, I’m exploring the use of Runway for synthesizing video clips from generated images. Future steps include analyzing images to derive new prompts and assembling the final video product, formatted for various social media platforms.

By the next update, I hope to share more concrete outcomes and enhancements to our video generator application.

If you found this update fascinating or have any suggestions, please hit the like button and subscribe for more insights. I appreciate your support!


Keywords

  • AI Video Generator
  • Social Media Content
  • Runway
  • Gemini
  • DALL-E
  • Script Generation
  • 11 Labs
  • Image Generation
  • Progress Component
  • User Interaction

FAQ

Q1: What is the primary goal of the AI video generator application?
A1: The main goal is to automate the process of creating social media content, specifically videos, using AI technologies.

Q2: Which AI tools are being integrated into the video generator?
A2: Tools such as Runway, Gemini, DALL-E, and 11 Labs are being integrated into the application for various tasks like voice generation and image synthesis.

Q3: How does the user interact with the application?
A3: Users can select themes, modify outlines, and generate scripts. The application also allows uploading voiceovers and prompts for image generation.

Q4: What challenges have been encountered during development?
A4: Challenges include API accessibility for video generation and managing costs associated with various AI services.

Q5: What are the future plans for the application?
A5: Future plans include enhancing image analysis for prompt generation, synthesizing video clips, and ensuring the final video content is formatted for social media platforms.