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.
Lightricks
LTX-2.3 LoRA
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.
Unknown
1000 context
N/A output
Text to Video
Image to Video
LoRA Fine-Tuning
Multi-Character Support
Style Transfer
Camera Motion Control
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Lightricks
Input Context Window
The number of tokens supported by the input context window.
1000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
Unknown
Knowledge Cut-off Date
When the model's knowledge was last updated.
Unknown
API Providers
The providers that offer this model. This is not an exhaustive list.
Hugging Face
Modalities
Types of data this model can process.
Video
Text
Image
What is LTX-2.3 LoRA
A fuller summary of positioning, capabilities, and source-specific details for LTX-2.3 LoRA.
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.
Capabilities
What LTX-2.3 LoRA supports
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.
Pricing for LTX-2.3 LoRA
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Hugging Face
Configuration & Parameters
The configurable options currently documented for this model.
Resolution
SelectDuration
NumberLoRAs
LoRAUp to 3 LoRAs.
Aspect Ratio
Toggle GroupSeed
SeedA specific value that is used to guide the 'randomness' of the generation.
Supported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about LTX-2.3 LoRA
LTX-2.3 LoRA discussions are most active in r/StableDiffusion. The strongest match in this snapshot has 464 upvotes and 46 comments.
None of the video gen models do a real CRT terminal animation look.
Weights + recipe:
🤗 [huggingface.co/lovis93/crt-animation-terminal-ltx-2.3-lora](http://huggingface.co/lovis93/crt-animation-terminal-ltx-2.3-lora)
Yooo Buff here again.
A few weeks ago I shared that I got LTX-2.3 running in real-time on a [4090 in Scope](https://www.reddit.com/r/StableDiffusion/comments/1s5i1vc/i_got_ltx23_running_in_realtime_on_a_4090/). The response was awesome - so we've been heads down working on a bunch of new features and wanted to share what's new.
*Demo Video:*
- 0s-26s: Seinfeld being outpainted to portrait (black bars painted in, I kept audio out for Copyright)
- 26s-40s: Dragon Ball Z Anime to Real
- 40s-48s: Image + Audio to Video using ID-LoRA to copy Arnold's Voice and say something differently
- 48s-58s: Preprocessed SAM3 input to replace Tech Jesus using Edit Anything
- 58s-: A combination of ID-LoRA and Edit Anything
*Main Updates:*
* ID-LoRA, Audio-In Support, Better Audio Sync,
* IC-LoRA Support (In-Context LoRAs),
* Base model to 1.1 Distilled, graph mode, and many Scope updates.
**ID-LoRA Support (Identity-Driven Audio-Video)**
ID-LoRA lets you zero-shot a voice into your LTX outputs - ex: you give it a reference image of a person, a short audio clip of their voice (\~5 seconds), and a text prompt, and it generates video of that person speaking with their actual voice. All in a single model pass, no cascaded pipeline of separate voice + video models. The LoRA weights download automatically with the base model, you just flip Audio Mode to `id_lora` in the UI and go.
**IC-LoRA Support (In-Context LoRAs)**
IC-LoRAs are now fully working in Scope. Originally we had Union Control working as a test, but over the last few days, there has been an explosion of new IC-LoRAs being trained. We've tested a bunch of them:
* [**Edit Anything**](https://huggingface.co/Alissonerdx/LTX-LoRAs) \- Edit anything in the video with text from Alissonerdx, so cool!
* [**Union Control**](https://huggingface.co/Lightricks/LTX-2.3-22b-IC-LoRA-Union-Control) (Lightricks official) - Canny, depth, and pose in a single checkpoint
* [**Anime2Real**](https://huggingface.co/Alissonerdx/LTX-LoRAs) \- Transform anime footage to photorealistic video, all real2anime works!
* [**Inpaint**](https://huggingface.co/Alissonerdx/LTX-LoRAs) \- Mask a region and generate new content via text
* [**Outpaint**](https://huggingface.co/oumoumad/LTX-2.3-22b-IC-LoRA-Outpaint) \- Extend canvas by generating into black regions
* [**Refocus / Uncompress / Ungrade**](https://huggingface.co/oumoumad) \- Video restoration IC-LoRAs (sharpen, decompress, remove color grading) - shout out to oumoumad!
* [**Colorizer**](https://huggingface.co/DoctorDiffusion/LTX-2.3-IC-LoRA-Colorizer) \- Colorize B&W footage (couldn't get this one to work unfortunately)
They add less than 10% compute overhead and work with FP8 quantization. Just drop the `.safetensors` in your `.daydream-scope\models\lora` folder and select it in the UI. Again - you also use any LTX-2.3 LoRAs you wish.
**Some other upgrades we've made:**
* Audio output is now properly synchronized with the video stream. Previously there could be drift between audio and video chunks - that's been fixed so everything stays locked.
* Added realtime pacing to the pipeline so output playback is smooth and consistent rather than bursting frames as fast as the model can generate them.
* Scope now supports cloud mode where your local instance relays frames to a remote GPU. This means you can run the full LTX-2.3 pipeline on cloud H100s and just stream the output back. Great if you don't have a 4090 sitting around. There's also a new [Livepeer](https://livepeer.org/) integration for decentralized GPU inference.
* Better memory management and VRAM handling (fewer OOM crashes on prompt changes)
* I2V (Image-to-Video) conditioning with adjustable strength
* Visual redesign of graph mode in the UI
**Some limitations:**
* Frame count and resolution is still pretty constrained, we're continuously working on improving this.
* Prompting invokes a delay due to text encoder offloading.
* IC-LoRAs aren't fully supported in Cloud Inference- this will be enabled soon!
* Video-in mode doesn't pass audio through to the output yet, ideally we're looking to build full continued video support, meaning that you can stream a YouTube video and have it continue in the output with audio playback.
Everything is still completely free and open source. If you want to try any of this:
Get Scope [Here](https://github.com/daydreamlive/scope).
Get the Scope LTX-2.3 Plugin [Here](https://github.com/daydreamlive/scope-ltx-2).
Come hang out in the [Daydream Discord](https://discord.gg/pF2Akym5bV) if you have questions or want to share what you're making or if you're into real-time AI inference!
Shoutout again to [Lightricks](https://huggingface.co/Lightricks), and to the community creators - [oumoumad](https://huggingface.co/oumoumad), [Alissonerdx](https://huggingface.co/Alissonerdx), [Cseti](https://huggingface.co/Cseti), [DoctorDiffusion](https://huggingface.co/DoctorDiffusion) \- who have been training incredible IC-LoRAs. And everyone else pushing this ecosystem forward.
Happy generating! 💪
FAQ
Common 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.
More models from Lightricks
Continue browsing adjacent models from the same provider.