LTX-2.3 LoRA
LTX-2.3 LoRA is a fine-tuning extension for Lightricks' LTX-2.3 video generation model, enabling custom character, style, and camera control in AI-generated videos.
Lightricks 
WaveSpeed Custom character and style control for AI video
LTX-2.3 LoRA is a Low-Rank Adaptation fine-tuning system built on top of Lightricks' LTX-2.3 video generation model, released in January 2026. Rather than retraining the full model, LoRA adapters allow users to teach the base model new characters, visual styles, or motion behaviors at a fraction of the computational cost. The system supports both text-to-video and image-to-video generation workflows, and LoRAs trained on the earlier LTX-2.0 model are reported to retain compatibility with the 2.3 update.
LTX-2.3 LoRA is designed for creators and developers who need stylistically consistent output across AI-generated video sequences, such as animation, storytelling, or visual effects production. It supports multi-character generation with consistent appearance across frames, style transfer, and community-developed camera movement controls including dolly in and out. The model runs locally using open-source tooling and has gained traction in the Stable Diffusion community for its character and style fidelity in generated video content.
What LTX-2.3 LoRA supports
Text to Video
Generates video sequences from text prompts using the LTX-2.3 base model, with a context window of up to 1000 tokens for prompt input.
Image to Video
Animates a provided image URL into a video sequence, using the input image as a visual anchor for the generated output.
LoRA Fine-Tuning
Accepts custom LoRA adapters via a dedicated loras input to apply user-trained character, style, or motion behaviors without modifying the base model weights.
Multi-Character Support
Generates videos featuring multiple distinct characters simultaneously, each maintaining consistent visual appearance across frames.
Style Transfer
Applies specific visual aesthetics or artistic styles to generated video content through style-trained LoRA adapters.
Camera Motion Control
Supports community-developed camera movement LoRAs such as dolly in and out, with partial compatibility from LTX-2.0 directional camera LoRAs.
Reproducible Generation
Accepts a seed input to enable deterministic or reproducible video outputs across multiple generation runs.
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Get Started FreeCommon questions about LTX-2.3 LoRA
What is the context window for LTX-2.3 LoRA?
LTX-2.3 LoRA has a context window of 1000 tokens, which applies to the text prompt input used to guide video generation.
Are LoRAs trained on LTX-2.0 compatible with LTX-2.3?
Yes, LoRAs trained for the earlier LTX-2.0 model are reported to work with the LTX-2.3 update, though some directional camera control LoRAs show only partial compatibility.
What types of LoRA customizations are supported?
LTX-2.3 LoRA supports character-specific LoRAs for consistent multi-character generation, style transfer LoRAs for visual aesthetics, and camera movement LoRAs such as dolly in and out.
What input types does LTX-2.3 LoRA accept?
The model accepts image URLs, LoRA adapter selections, numeric parameters, toggle group settings, select options, and a seed value for reproducible outputs.
Who developed LTX-2.3 LoRA and when was it released?
LTX-2.3 LoRA was developed by Lightricks, with the underlying LTX-2.3 model trained as of January 2026. It was added to MindStudio in March 2026.
Parameters & options
Up to 3 LoRAs.
A specific value that is used to guide the 'randomness' of the generation.
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