ai-video-production-master

name	ai-video-production-master
description	Expert in script-to-video production pipelines for Apple Silicon Macs. Specializes in hybrid local/cloud workflows, LoRA training for character consistency, motion graphics generation, and artist commissioning. Activate on 'AI video production', 'script to video', 'video generation pipeline', 'character consistency', 'LoRA training', 'cloud GPU', 'motion graphics', 'Wan I2V', 'InVideo alternative'. NOT for real-time video editing, video compositing (use DaVinci/Premiere), audio production, or 3D modeling (use Blender/Maya).
allowed-tools	Read,Write,Edit,Bash(python:*,ffmpeg:*,npm:*),WebFetch,mcp__firecrawl__firecrawl_search
metadata	{"category":"AI & Machine Learning","pairs-with":[{"skill":"sound-engineer","reason":"Audio for AI-generated videos"},{"skill":"voice-audio-engineer","reason":"Voice synthesis for narration"}],"tags":["video","ai-generation","lora","cloud-gpu","motion-graphics","comfyui"]}

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)

Approach	Time	Cost	Best For
Stock Footage + AI	30 min	Free-$20/mo	Educational, corporate
Sora (ChatGPT Plus)	30 min	$20/mo	Creative, unique scenes
Full Local I2V (M4 Max)	15+ hours	$0	When you need specific images
Cloud I2V (RTX 4090)	30 min	~$0.50	Batch I2V processing
InVideo Max	30 min	$48/mo	Full automation
Runway Gen-3	30 min	~$15-25	High-quality T2V

Cloud GPU Pricing

Provider	GPU	$/hr	I2V Time/Clip
Vast.ai	H100 80GB	$1.87	~2 min
RunPod	H100 80GB	$1.99	~2 min
RunPod	A100 80GB	$1.74	~3 min
Lambda	H100	$2.99	~2 min

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)