Aulafy

Tool and license map

Generative AI changes fast. That's why we're not going to memorize names: we're going to learn how to choose tools by control, license, cost, privacy, and the ability to reproduce results.

  • Choose a stack for image, voice, and video without getting lost among models.
  • Distinguish open models, commercial use, and cloud services.
  • Keep a record of which model, license, and parameters you used.

Aulafy base stack

  • ComfyUI: visual node-based interface for images, video, audio, and reproducible workflows.
  • Diffusers: Python code to generate, compare, and automate images with versionable pipelines.
  • FLUX: powerful family for images; review each variant because they don't all share the same license.
  • Whisper: local transcription and subtitles.
  • Piper: local text-to-speech with lightweight models.
  • Wan: video generation for short clips, usually with higher VRAM requirements.

Record sheet you should keep for each resource

TerminalCode
recurso:
  tipo: modelo | lora | voz | workflow | dataset
  nombre:
  version_o_commit:
  fuente:
  licencia:
  uso_permitido: personal | comercial | investigacion | revisar
  restricciones:
  parametros_clave:
  fecha_revision: 2026-07-02

Quick decision

  • I want an image now: ComfyUI with a simple workflow.
  • I want to repeat a hundred variations: Diffusers with seed, prompt, and manifest.
  • I want voice for a lesson: Whisper to transcribe and Piper to narrate.
  • I want video: start with 3 to 5 second clips and a single scene.
  • I want to sell it: check the license before generating, not after.