Local Ai
fine-tune LTX 2.3 with his own dataset?
This r/StableDiffusion thread discusses how to fine-tune the LTX-Video 2.3 model on a personal dataset, with the primary approach being LoRA (Low-Rank Adaptation), which fine-tunes a large AI model on
This r/StableDiffusion thread discusses how to fine-tune the LTX-Video 2.3 model on a personal dataset, with the primary approach being LoRA (Low-Rank Adaptation), which fine-tunes a large AI model on a small dataset without retraining from scratch by injecting small adapter layers that steer outputs toward a target style or subject. Lightricks provides an open-source LTX-Video-Trainer repository with tools and scripts that enable LoRA training, full fine-tuning, and video-to-video transformation workflows on custom datasets. Community members likely share tips on dataset preparation, recommended training parameters, and compatible tools such as finetrainers, which added support for T2V LoRA fine-tuning of LTX-Video.
Related
- Does anyone have a good example dataset for an Illustrious character Lora that they’re willing to provide?
- OstrisAI-Toolkit Lora --> Anima model.
- ControlNet vs LoRA
- LTX 2.3 - Image + Audio + Video ControlNet (IC-LoRA) to Video
- LTX2.3 - LTX-2.3-22b-IC-LoRA-Outpaint
Source: r/StableDiffusion | 2026-04-11