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Full AI Video Pipeline — From Prompt to Final Video

This is a practical pipeline to create AI videos that are: - consistent - repeatable - production-ready

This is not a demo.

This is how you build a system that can generate videos reliably.

0. Overview

Pipeline:

Prompt → Image → Variations → Video → Voice → Lip Sync → Final Video

Tools: - ComfyUI (image generation) - Wan / LTX (image → video) - TTS (voice) - Lip Sync (VoxCPM / SadTalker) - ffmpeg (final render)

1. Step 1 — Define Character

You must lock identity first.

Example:

male, 35 years old, construction worker, beard, yellow helmet, serious face

Save: - prompt - seed

👉 This is your base identity.

2. Step 2 — Generate Base Image (ComfyUI)

Use: - fixed seed - high quality settings

Example: - steps: 25–30 - CFG: 6–8 - resolution: 768x1024

Save output: 

/opt/projects/characters/worker/base.png

3. Step 3 — Create Variations

Load base image and generate variations.

Settings: - denoise: 0.3–0.5 - same prompt

Result: - same person - different poses

Save: 

/opt/projects/characters/worker/poses/

4. Step 4 — Image to Video

Use Wan or LTX.

Input: - base or variation image

Goal: - add motion, not change identity

Settings: - low motion strength - short clips (3–5 seconds)

Output: 

/opt/projects/video/raw/

5. Step 5 — Voice Generation (TTS)

Generate voice from text.

Example script:

This is a dangerous situation. The scaffold is unstable.

Tools: - VoxCPM - ElevenLabs - local TTS models

Save: 

/opt/projects/audio/voice.wav

6. Step 6 — Lip Sync

Apply voice to video.

Tools: - SadTalker - VoxCPM lip sync

Input: - video clip - audio file

Output: 

/opt/projects/video/lipsync/

7. Step 7 — Combine with ffmpeg

Merge video and audio:

ffmpeg -i input.mp4 -i voice.wav -c:v copy -c:a aac -shortest output.mp4

8. Step 8 — Export for Platforms

YouTube Shorts / TikTok

ffmpeg -i input.mp4 -vf "scale=1080:1920" -c:a copy output.mp4

Instagram

Same vertical format: - 1080x1920 - under 60 seconds

9. Folder Structure

Keep everything organized:

/opt/projects/
  characters/
  video/raw/
  video/lipsync/
  audio/
  final/

10. Common Failures

Face changes in video

Cause: - no reference image

Fix: - always anchor to base image

Flickering frames

Cause: - high motion strength

Fix: - reduce motion - use shorter clips

Audio out of sync

Fix: - use ffmpeg with -shortest

GPU crashes

Fix: - reduce resolution - use --lowvram

11. Automation (Advanced)

You can automate pipeline:

  • ComfyUI → generate images
  • script → send to video model
  • TTS → generate audio
  • ffmpeg → merge

Tools: - bash scripts - n8n - Python

12. Production Tips

  • Always reuse base image
  • Keep prompts stable
  • version your outputs
  • store seeds

13. Why This Works

Most people generate random clips.

This pipeline: - keeps identity - keeps quality - scales to production

14. Real Use Cases

  • Workplace safety videos
  • AI storytelling
  • marketing content
  • YouTube Shorts automation

15. Next Step

Now build prompt library:

👉 Video Prompts