Local Ai
LTX distilled lora 1.1 vs. 1.0 comparison
This r/StableDiffusion post presents a community-driven side-by-side comparison of the LTX Video model's distilled LoRA versions 1.1 and 1.0, evaluating differences in output quality, motion coherence
This r/StableDiffusion post presents a community-driven side-by-side comparison of the LTX Video model's distilled LoRA versions 1.1 and 1.0, evaluating differences in output quality, motion coherence, or generation speed for AI video synthesis. The LTX distilled LoRA enables fast inference by significantly reducing the required sampling steps — a distilled 8-step fast generation mode runs 5–6 times faster than the full model — making version-to-version comparisons practically relevant for users optimizing their workflows. Discussions around distilled LoRA quality settings suggest users are actively tuning the tradeoff between generation speed and output fidelity, which is the likely focus of this comparison post.
Related
- LTX2.3 (Distilled) - Updated sigmas for better results (?)
- Okay, I have to admit LTX is better after all. I have fully dropped MagiHuman after your critiques.
- Does LTX 2.3 have good motion transfer?
- Update: Distilled v1.1 is live
- fine-tune LTX 2.3 with his own dataset?
- AceStep 1.5 XL Turbo + LTX 2.3 on an 8GB RTX 5060 Laptop
Source: r/StableDiffusion | 2026-04-13