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ai-video-production-master

ai-video-production-master

github.com/curiositechCreative & media257398 installsUpdated 2d ago
Repository

About ai-video-production-master

An AI video-production skill for Apple Silicon Mac workflows, guiding script-to-video pipelines using stock footage, text-to-video, image-to-video, or hybrid production. It also covers cloud GPU batching, cost comparisons, motion graphics, and style consistency.

Key features

  1. 01Stock, text-to-video, and image-to-video workflows
  2. 02Local and cloud processing cost comparisons
  3. 03Cloud GPU batch image-to-video
  4. 04Title cards, lower thirds, and data graphics
  5. 05LoRA and IPAdapter style-consistency guidance
  6. 06Artist commissioning guidance for training data

Use cases

  1. 01Produce explainers or educational videos from scripts
  2. 02Combine generation methods for creative shorts
  3. 03Animate keyframes in batches
  4. 04Create title cards, lower thirds, and data visualizations

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/curiositech/some_claude_skills --skill ai-video-production-master

After installing, type/ai-video-production-masterin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

README.md
.claude-plugin/
plugin.json
docs/
ARTIST_COMMISSIONING_GUIDE.md
docs/contracts/
artist_commission_template.md
scripts/
cloud_i2v_batch.py
cost_calculator.py
motion_graphics_generator.py
workflows/
comfyui_i2v_optimized.json

Details

From the project README

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)
ApproachTimeCostBest For
Stock Footage + AI30 minFree-$20/moEducational, corporate
Sora (ChatGPT Plus)30 min$20/moCreative, unique scenes
Full Local I2V (M4 Max)15+ hours$0When you need specific images
Cloud I2V (RTX 4090)30 min~$0.50Batch I2V processing
InVideo Max30 min$48/moFull automation
Runway Gen-330 min~$15-25High-quality T2V
Cloud GPU Pricing
ProviderGPU$/hrI2V Time/Clip
Vast.aiH100 80GB$1.87~2 min
RunPodH100 80GB$1.99~2 min
RunPodA100 80GB$1.74~3 min
LambdaH100$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)

Comments

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