video-generation

olivenet-iot's avatarfrom olivenet-iot

AI video generation with Sora, Veo, and Kling. Use when creating Reels, video prompts, or handling video generation workflows.

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[Visual Content Workflows]

When & Why to Use This Skill

This Claude skill streamlines AI video generation by integrating top-tier models including Sora, Veo, and Kling. It provides an automated workflow for creating high-quality cinematic videos, social media Reels, and professional product showcases, featuring smart model selection based on prompt complexity and specific platform requirements like Instagram specs.

Use Cases

  • Social Media Content Creation: Automatically generate 9:16 vertical videos optimized for Instagram Reels and TikTok with specific cinematography styles.
  • Product Marketing & Showcases: Use Google's Veo 3.1 to create realistic, high-quality videos for product demonstrations and simple commercial scenes.
  • Complex Cinematic Storytelling: Leverage OpenAI's Sora for advanced video prompts involving complex transformations, morphing, and epic cinematic movements.
  • Industrial & IoT Visualizations: Utilize Kling Pro for technical or industrial-themed content, such as documenting IoT sensor behavior or professional documentary-style footage.
namevideo-generation
descriptionAI video generation with Sora, Veo, and Kling. Use when creating Reels, video prompts, or handling video generation workflows.

AI Video Generation

Quick Reference

Model Provider Duration Best For
Veo 3.1 Google 4-8s Simple scenes, products
Sora 2 OpenAI 4-12s Complex scenes
Kling Pro fal.ai 5-10s Industrial, IoT

Model Selection

# Auto-select based on complexity
from app.sora_helper import generate_video_smart

result = await generate_video_smart(prompt, topic, duration=8)
# Returns: {success, video_path, model_used}

Complexity Keywords:

  • HIGH (Sora Pro): transformation, morphing, cinematic, epic
  • MEDIUM (Sora): tracking, dolly, movement, transition
  • LOW (Veo): static, simple, product

Prompt Formula

[CINEMATOGRAPHY] + [SUBJECT] + [ACTION] + [CONTEXT] + [STYLE]

Example:

Slow dolly shot, IoT sensor on greenhouse shelf, LED blinking green,
morning sunlight through glass, professional documentary style

Generation Functions

# Veo (Google)
from app.veo_helper import generate_video_veo3
result = await generate_video_veo3(prompt, aspect_ratio="9:16", duration_seconds=8)

# Sora (OpenAI)
from app.sora_helper import generate_video_sora
result = await generate_video_sora(prompt, model="sora-2", size="720x1280")

# Kling (fal.ai)
from app.fal_helper import FalVideoGenerator
result = await FalVideoGenerator.generate_video(prompt, model="kling_pro", duration=10)

Instagram Specs

Spec Value
Aspect 9:16 vertical
Resolution 720x1280
Codec H.264/AAC
Max Duration 90s

Environment Variables

GEMINI_API_KEY=...   # Veo
OPENAI_API_KEY=...   # Sora
FAL_API_KEY=...      # Kling

Return Format

# Success
{"success": True, "video_path": "/path/to.mp4", "model_used": "veo-3.1"}

# Error with fallback
{"success": False, "error": "...", "fallback": "veo3"}

Best Practices

  • Simple, comma-separated sentences
  • Include camera movement + lighting
  • Avoid complex physics (bouncing, running)
  • Use: "cinematic", "professional", "documentary"
  • Duration: 5-8s ideal for Reels
  • app/sora_helper.py - Sora + smart selection
  • app/veo_helper.py - Veo generation
  • app/fal_helper.py - Kling/Wan/Minimax
  • app/video_models.py - Model configs
  • context/reels-prompts.md - Prompt examples