End-to-end AI video creation: Concept → Script → Storyboard → Characters → Video with consistent visual identity across scenes
Table of Contents: Problem | Solution | Features | Pipeline | Quick Start | Examples
Creating professional video content requires:
- Expensive studios and production facilities
- Professional actors and voice talent
- Weeks or months of production and post-production
- Specialized video production teams
- High per-minute production costs
Additionally, maintaining character consistency across multiple AI-generated scenes is technically challenging and time-consuming.
A fully automated pipeline that takes a concept or brief and produces professional-quality videos with:
- Consistent characters across all scenes
- Synchronized voice with emotion and pacing control
- Cinematic composition and camera direction
- Automated transitions and visual effects
From concept to final video in minutes instead of weeks.
- Multi-Language Script Generation — Create scripts in 20+ languages with culturally appropriate terminology
- Character Consistency Engine — Maintains visual identity of characters throughout entire video
- Automatic Storyboarding — Scene-by-scene visual planning with composition rules
- Multiple AI Video Generators — Support for Kling AI, Runway ML, and Luma AI for scene generation
- ElevenLabs Voice Synthesis — Emotion-aware voice with natural pacing and emphasis
- Background Music Integration — Licensed music selection and audio mixing
- Multi-Platform Export — Optimized formats for YouTube, Instagram, LinkedIn, TikTok
- Progress Tracking — Resume interrupted generations from checkpoint
- Batch Processing — Generate multiple videos concurrently
┌──────────────────────────────────────────────────────────────────┐
│ 1. CONCEPT INPUT │
│ • Video brief (300-500 words) │
│ • Target audience, tone, duration │
│ • Key messages and call-to-action │
└──────────────────┬───────────────────────────────────────────────┘
│
┌──────────────────▼───────────────────────────────────────────────┐
│ 2. SCRIPT GENERATION (ScriptGenerator) │
│ • LLM-powered screenplay creation │
│ • Scene descriptions with camera directions │
│ • Dialogue with emotion and emphasis markers │
│ • Multi-language support │
└──────────────────┬───────────────────────────────────────────────┘
│
┌──────────────────▼───────────────────────────────────────────────┐
│ 3. STORYBOARDING (StoryboardEngine) │
│ • Visual planning for each scene │
│ • Character placement and positioning │
│ • Camera angles and movements │
│ • Scene composition rules │
└──────────────────┬───────────────────────────────────────────────┘
│
┌──────────────────▼───────────────────────────────────────────────┐
│ 4. CHARACTER DESIGN (CharacterConsistencyEngine) │
│ • Extract character embeddings from reference images │
│ • Generate consistency prompts for each scene │
│ • Validate visual consistency across scenes (0.95+ score) │
│ • Character appearance database │
└──────────────────┬───────────────────────────────────────────────┘
│
┌──────────┴──────────┬──────────────────┐
│ │ │
┌───────▼─────────┐ ┌────────▼──────┐ ┌────────▼──────┐
│ Kling AI Video │ │ Runway ML │ │ Luma AI │
│ Generation │ │ Video Gen │ │ Video Gen │
└───────┬─────────┘ └────────┬──────┘ └────────┬──────┘
│ │ │
└──────────┬──────────┴──────────────────┘
│
┌──────────────────▼───────────────────────────────────────────────┐
│ 5. VOICE SYNTHESIS (VoiceSynthesizer - ElevenLabs) │
│ • Generate dialogue audio with emotion markers │
│ • Multi-speaker support (character voices) │
│ • Pacing and emphasis control │
│ • Audio duration matching to scene length │
└──────────────────┬───────────────────────────────────────────────┘
│
┌──────────────────▼───────────────────────────────────────────────┐
│ 6. AUDIO INTEGRATION │
│ • Background music selection (licensed library) │
│ • Sound effects for scene transitions │
│ • Audio normalization and mixing │
│ • Audio-video synchronization │
└──────────────────┬───────────────────────────────────────────────┘
│
┌──────────────────▼───────────────────────────────────────────────┐
│ 7. VIDEO ASSEMBLY (VideoAssembler) │
│ • Scene concatenation with transitions │
│ • Color grading and effects │
│ • Title/subtitle overlay │
│ • Format-specific optimization │
└──────────────────┬───────────────────────────────────────────────┘
│
┌──────────────────▼───────────────────────────────────────────────┐
│ 8. EXPORT (Multi-Platform) │
│ • YouTube (1080p, 4K) │
│ • Instagram Reels (1080x1920, optimized) │
│ • LinkedIn (1200x675, optimized) │
│ • TikTok (9:16 aspect ratio) │
└──────────────────────────────────────────────────────────────────┘
- Python 3.9+
- API keys: Kling AI, Runway ML, ElevenLabs, OpenAI
git clone https://github.com/SainathPattipati/ai-video-generation-pipeline.git
cd ai-video-generation-pipeline
pip install -r requirements.txtCreate .env:
OPENAI_API_KEY=sk-...
KLING_API_KEY=...
RUNWAY_API_KEY=...
ELEVENLABS_API_KEY=...from src.pipeline.orchestrator import VideoPipelineOrchestrator
# Create orchestrator
orchestrator = VideoPipelineOrchestrator()
# Define video concept
concept = {
"title": "Product Launch Video",
"brief": "Introduce our new AI-powered manufacturing copilot...",
"target_audience": "Manufacturing executives",
"duration_seconds": 60,
"language": "English",
"tone": "Professional yet accessible"
}
# Generate video
video_path = orchestrator.generate_video(concept)
print(f"Video generated: {video_path}")python examples/create_product_video.pyGenerates a 60-second product launch video with:
- AI-written script highlighting key features
- Consistent spokesperson character throughout
- Professional voice-over with emphasis on benefits
- Cinematic transitions between scenes
- Multi-platform exports ready for YouTube, LinkedIn, Instagram
Auto-generated tutorial videos for software products:
- Step-by-step scene descriptions
- Consistent UI and character
- Natural voice narration
- Screen recordings seamlessly integrated
The character consistency engine ensures visual coherence:
from src.character.consistency_engine import CharacterConsistencyEngine
engine = CharacterConsistencyEngine()
# Register reference images
character = engine.register_character(
character_id="spokesperson_001",
reference_images=[
"assets/character_ref_1.jpg",
"assets/character_ref_2.jpg",
],
description="Professional woman, 30s, warm expression"
)
# Generate scene with consistency
scene = engine.generate_consistent_scene(
character_id="spokesperson_001",
scene_description="Speaking about product benefits",
video_client="kling_ai"
)
# Validate consistency
score = engine.validate_consistency(scene)
print(f"Consistency score: {score:.2%}") # Target: > 0.95Professional voice with emotion control:
from src.audio.voice_synthesizer import VoiceSynthesizer
synthesizer = VoiceSynthesizer()
# Generate dialogue with emotion
audio = synthesizer.synthesize(
text="Welcome to the future of manufacturing!",
voice_id="en_US_female_professional",
emotion="enthusiastic",
pace_multiplier=0.95,
emphasis=["future", "manufacturing"]
)from src.assembly.video_assembler import VideoAssembler
assembler = VideoAssembler(video_path)
# Export for different platforms
assembler.export_youtube(resolution="1080p") # 1920x1080
assembler.export_instagram_reels() # 1080x1920
assembler.export_linkedin() # 1200x675
assembler.export_tiktok() # 1080x1920, 9:16- Modular Design — Each stage can be customized or replaced
- Async Processing — Concurrent video generation from multiple providers
- Resumable — Pause/resume generation from checkpoints
- Extensible — Easy to add new video generators, voice providers, or effects
- Time to Video — 5-15 minutes for 60-second video (depending on scene complexity)
- Character Consistency — 95%+ visual consistency score
- Cost — $15-30 per finished video (vs $500-2000 for traditional production)
- Scalability — Generate 100+ videos concurrently
- Automatic consistency validation between scenes
- Audio-video sync verification
- Format validation for each platform
- Manual review steps available before publishing
docs/PIPELINE_GUIDE.md— Step-by-step pipeline usagedocs/API_REFERENCE.md— Detailed API documentationdocs/EXAMPLES.md— More example use cases
pytest tests/ -v --cov=srcSee CONTRIBUTING.md for guidelines.
MIT License - see LICENSE file
Built by Sainath Pattipati to democratize professional video production for enterprises.
Questions? Open an issue on GitHub.