Practical Decision Framework

피파 한 줄 정리: ('Decision tree: output type → quality need → special requirements → budget → control. Hype가 아니라 task로 시작. 5문항 필터로 옵션 80% 제거 가능.',)

Imagine you're standing in a hardware store, overwhelmed by fifty kinds of drills. A wise shopkeeper asks: "What are you drilling into? How often? What's your budget?" Those three questions eliminate 45 options immediately. Model selection works the same way — start with the task, not the tool.

The Task-First Decision Tree

START: What am I creating?
│
├─ Still Image
│  ├─ Does it need accurate text? → GPT-Image 1.5
│  ├─ Is aesthetic style the priority? → Midjourney v7
│  ├─ Do I need custom fine-tuning? → FLUX or Stable Diffusion
│  ├─ Am I doing high-volume batch work? → Imagen 4 Fast
│  └─ Is privacy/self-hosting required? → FLUX.1 Schnell (local)
│
├─ Video
│  ├─ Maximum visual quality? → Runway Gen-4.5 or Veo 3.1
│  ├─ Budget-conscious clips? → Kling 3.0
│  ├─ Stylized/animated look? → Hailuo/MiniMax 2.3
│  ├─ Open-source needed? → LTX-2 or Wan 2.6
│  └─ Native audio with video? → Runway Gen-4.5 or Veo 3.1
│
├─ Voice/Audio
│  ├─ Premium narration quality? → ElevenLabs
│  ├─ Developer integration at scale? → OpenAI TTS
│  ├─ Self-hosted/private? → Voxtral
│  └─ Real-time conversation? → Cartesia
│
└─ I'm not sure yet → Start with fast/cheap exploration
   across multiple models before committing

The Five-Question Filter

Before choosing a model for any project, answer these five questions:

Common Mistakes in Model Selection

The practical reality: most professionals settle on 2–3 models they know well, use them for different phases and tasks, and periodically test new releases against their established workflow. They don't switch models with every launch — they switch when a new model demonstrably improves their specific use case.

Key Takeaways

Start with your task requirements, not model rankings. Five simple questions eliminate most wrong choices.
Build a small toolkit of 2–3 models you know deeply rather than chasing every new release.
The goal isn't finding "the best model" — it's finding the best model for each stage of your specific workflow.

Code

예시 코드·json

{
  "decision_framework": {
    "1_output_type": "What exactly am I producing? (image, video, voice, combination)",
    "2_quality_need": "Is this exploration, production draft, or final deliverable?",
    "3_special_requirements": "Text rendering? Character consistency? Specific style? Privacy?",
    "4_budget_constraint": "What's my per-unit cost tolerance? Volume expected?",
    "5_control_need": "How precisely do I need to direct the output? (loose inspiration vs exact spec)"
  }
}

The Task-First Decision Tree

The Five-Question Filter

Common Mistakes in Model Selection

Code

External links

Exercise

Progress

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