DevFlow Actions - Video Generation

AI-generated cinematic video clips showcasing the Logitech MX Creative Console for developer workflows.

This project generates 6 cinematic 8-second video clips using Google's Veo 3.1 video generation model, showcasing the Logitech MX Creative Console for developer productivity.

1. 01_problem (0:00-0:08) - Developer struggling with alt-tabbing
2. 02_device_reveal (0:08-0:16) - Logitech MX Creative Console reveal
3. 03_model_switcher (0:16-0:24) - Dial rotating through AI models
4. 04_deploy_flow (0:24-0:32) - Three-key deployment sequence
5. 05_reprompt (0:32-0:40) - Split screen AI refresh
6. 06_closing (0:40-0:48) - Developer relaxed with final shot

• Python 3.11+
• Google Cloud account with Vertex AI access
• gcloud CLI authenticated
• google-genai Python package

# Create virtual environment
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install google-genai

# Authenticate with Google Cloud
gcloud auth login

# Generate all 6 clips
python generate_clips.py

# Clips will be saved in devflow_clips/
# Final stitched video: devflow_complete.mp4 (48 seconds)

• Resolution: 1280x720 (720p)
• Format: H.264 video with AAC audio
• Total duration: 48 seconds
• Final file: devflow_complete.mp4

Each clip takes approximately 3-5 minutes to generate. Total generation time: ~20-30 minutes for all 6 clips.

The final video is ready for editing with voiceover and background music.