AI Video Production Master

AI Video Production Master

Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in:

• Multiple video approaches: Stock footage, T2V (Sora-style), I2V, hybrid
• Hybrid local/​cloud workflows for cost optimization
• Style and character consistency (LoRA, IPAdapter, prompt discipline)
• Motion graphics and synthetic elements (title cards, data viz, lower thirds)
• Artist commissioning for training datasets
• Cloud GPU orchestration (Vast.ai, RunPod)

When to Use

✅ USE this skill for:

• Script-to-video production pipelines
• Stock footage assembly (InVideo-style workflows)
• Text-to-video generation (Sora, Runway, Pika, Kling)
• Image-to-video animation (Wan I2V, ComfyUI)
• Cloud GPU orchestration (Vast.ai, RunPod, Lambda)
• Motion graphics generation (title cards, lower thirds, data viz)
• LoRA training for character/​style consistency
• Artist commissioning for training datasets
• Cost optimization between local and cloud processing

❌ DO NOT use for:

• Real-time video editing → use DaVinci Resolve, Premiere Pro
• Video effects/​compositing → use After Effects, Fusion
• Audio production/​mixing → use sound-engineer skill
• 3D modeling/​animation → use Blender, Maya, or physics-rendering-expert skill
• Static image generation → use clip-aware-embeddings or image gen tools

Video Generation Approaches

Choose the right approach based on your content:

Stock Footage (Invideo-style) - RECOMMENDED for most content

Best for: Educational, corporate, explainers, documentaries

• Uses curated stock libraries (Pexels, Pixabay, Storyblocks)
• Most professional, reliable results
• Fast turnaround (~30 min for full video)
• Script → AI selects matching clips → voiceover + music

python scripts/​stock_video_generator.py --script script.txt --style documentary

Text-to-Video (Sora-style) - For creative/​artistic content

Best for: Abstract visuals, creative shorts, unique scenes

• True generative AI (no stock footage)
• Uses: Sora API, Runway Gen-3, Pika, Kling
• Cleaner than I2V (no weird image artifacts)
• Storyboard control for multi-shot narratives

python scripts/​t2v_generator.py --prompt "A serene mountain lake at sunset" --provider sora

Image-to-Video (I2V) - For animating specific images

Best for: Animating logos, concept art, specific compositions

• Animates existing images with subtle motion
• Can look "weird" if source images are AI-generated
• Best with clean, professional source images

python scripts/​cloud_i2v_batch.py --images ./​keyframes --provider vastai

Hybrid Approach

Combine approaches per shot:

• Shot 1-3: Stock footage (b-roll, establishing)
• Shot 4-5: T2V (creative transitions)
• Shot 6-10: Stock footage (talking head, outro)

Key Capabilities

1. Cost Optimization

Compare and recommend the optimal mix of local (M4 Max) vs cloud (H100/​A100) processing:

python scripts/​cost_calculator.py --shots 10 --duration 5

2. Cloud Batch Processing

Run I2V generation on cloud GPUs for 50x speedup:

python scripts/​cloud_i2v_batch.py --images ./​keyframes --provider vastai

3. Motion Graphics Generation

Create professional title cards, lower thirds, and data visualizations:

python scripts/​motion_graphics_generator.py --type title --style deep_glow --title "Your Title"

4. Style Consistency

Provide guidance on:

• LoRA training parameters (rank, alpha, learning rate, steps)
• IPAdapter + FaceID for character consistency
• Prompt discipline and trigger words
• Reference image workflows

5. Artist Commissioning

Templates and guidance for:

• Finding artists (ArtStation, Fiverr, Upwork)
• Structuring commission requests
• AI training rights contracts
• Quality control and review processes

Files in This Skill

ai-video-production-master/
├── README.md                          # Comprehensive guide
├── SKILL.md                           # This file
├── scripts/
│   ├── cost_calculator.py             # Cost comparison tool
│   ├── cloud_i2v_batch.py             # Cloud batch I2V (Vast.ai/​RunPod)
│   ├── stock_video_generator.py       # Stock footage assembly (Invideo-style)
│   ├── t2v_generator.py               # Text-to-video (Sora/​Runway/​Pika)
│   └── motion_graphics_generator.py   # Title cards, lower thirds
├── workflows/
│   └── comfyui_i2v_optimized.json     # Optimized ComfyUI workflow
└── docs/
    ├── ARTIST_COMMISSIONING_GUIDE.md  # Hiring artists
    └── contracts/
        └── artist_commission_template.md  # Contract template

Quick Reference

Cost Comparison (10-shot video)

Cloud GPU Pricing

Motion Graphics Styles

• neo_brutalist - Raw, glitchy, utilitarian
• deep_glow - Intense light blooms, layered neons
• liquid_motion - Fluid, morphing typography
• retro_revival - 80s/​90s grain and neon
• glass_morphism - Frosted glass, depth layers

Dependencies

Python packages:

• httpx (for cloud API calls)
• argparse, json, subprocess (stdlib)

External tools:

• FFmpeg (video encoding)
• rsvg-convert or ImageMagick (SVG to PNG)
• ComfyUI (local generation)