March 2026 Evaluation

LTX-2.3 vs Wan 2.2

The battle of open-source video titans. One for short video productivity, one for cinematic peak quality.

Quick Summary

L

LTX-2.3

Fast iterations + Native Audio + Vertical → Choose LTX-2.3

W

Wan 2.2

Cinematic details + Complex motion + Production quality → Choose Wan 2.2

1. Technical Specifications

ItemLTX-2.3 (Lightricks)Wan 2.2 (Wan-AI)
ArchitectureSingle-model DiT (22B)MoE Dual-Expert (27B / 5B)
Main Variants22B-dev / distilled + UpscalersT2V, I2V, TI2V, S2V, Animate
Native ResolutionUp to 1080p (Native Vertical) + 4K480P ~ 720P (Wide support)
Framerate24 / 48 / 50 FPS24 FPS (TI2V-5B)
Audio SupportNative Sync (One-shot audio/video)Requires S2V variant for audio
LicenseLTX Community (<$10M Free)Apache 2.0 (Open Commercial)

2. Generation Quality & Performance

Prompt Adherence

WINNER: Wan 2.2
LTX-2.3

Greatly improved, but space drift exists

Wan 2.2

Top-tier (MoE semantics is superior)

Motion Consistency

WINNER: Wan 2.2
LTX-2.3

Good, but long sequences may break

Wan 2.2

Ultra-strong (Expert refined details)

Detail/Sharpness

WINNER: Wan 2.2
LTX-2.3

Improved details after VAE rebuild

Wan 2.2

More refined (Cinematic textures)

Audio Sync

WINNER: LTX-2.3
LTX-2.3

Crushing (Native Vocoder, perfect)

Wan 2.2

Good but requires extra steps

3. Performance & Deployment

Generation Speed

LTX-2.3 Ultra-fast (Distilled in seconds)
Wan 2.2 Slower (A14B needs more sampling)

VRAM Required

LTX-2.3 10-18GB (1080p easy)
Wan 2.2 24GB (5B) / 80GB+ (A14B)

ComfyUI Support

LTX-2.3 Most mature (Official Nodes)
Wan 2.2 Excellent (Official + Kijai)

4. Recommended Use Cases

Highly Recommend LTX-2.3

  • TikTok / Reels (Vertical + Audio)
  • Virtual Avatars / Narrative Shorts
  • 12-24GB VRAM Users
  • Perfect Lipsync roles

Highly Recommend Wan 2.2

  • Movie Previews / Cinematic Ads
  • Complex motion / High aesthetics
  • Character Animate / Motion Transfer
  • 24GB+ or Multi-GPU users

Final Conclusion

"Wan 2.2 for quality peak; LTX-2.3 for speed and vertical shorts. Experts use both for efficiency."

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