WAN 2.2 on ComfyUI - Real-World Test of the Most Advanced AI Video Model

WAN 2.2 on ComfyUI - Real-World Test of the Most Advanced AI Video Model

Vladimir Chopine [GeekatPlay] via YouTube Direct link

14:20 Sampler & CFG tuning

16 of 24

16 of 24

14:20 Sampler & CFG tuning

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WAN 2.2 on ComfyUI - Real-World Test of the Most Advanced AI Video Model

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  1. 1 0:00 GPU error & test goals
  2. 2 0:31 Setup – ComfyUI 3.64 + Python update
  3. 3 1:18 Loading WAN 2.2 video template
  4. 4 2:00 WAN 2.2 vs 2.1 overview
  5. 5 2:48 Dual-expert design explained
  6. 6 3:45 FP8 vs FP16 and VRAM impact
  7. 7 4:55 Training scale 70 million clips
  8. 8 5:40 Motion and artifact improvements
  9. 9 7:04 Long-run test plan + results
  10. 10 8:20 5–12 s clips – quality stable
  11. 11 9:10 31 s test on RTX 3090
  12. 12 9:55 WAN 2.5 early comparison
  13. 13 10:40 Cloud option for low-VRAM systems
  14. 14 11:40 Image-to-video demo steps
  15. 15 12:30 Fast vs High-Quality workflows
  16. 16 14:20 Sampler & CFG tuning
  17. 17 15:40 Temporal coherence settings
  18. 18 16:30 Frame count and fps math
  19. 19 17:20 Latent resolution ratios
  20. 20 18:10 Filmic 24 fps vs 12–16 fps look
  21. 21 19:10 Smoothing animation steps
  22. 22 20:10 Frame export and continuation
  23. 23 21:10 Summary + WAN 2.5 outlook
  24. 24 22:01 Closing thoughts

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