LTX 2.3 Resources
Everything in one place — organized by what you want to do. Pick a section, follow the links, and you'll find the right source without digging through five different sites.
Understand how LTX 2.3 works and how to set it up
LTX 2.3 ComfyUI Setup Guide →
Install ComfyUI, pick the right model for your VRAM, configure IC-LoRAs, and tune key parameters.
Step-by-Step Tutorials →
Curated written tutorials covering I2V, T2V, HDR, Motion Track, and more.
LTX Workflow Blog →
Articles, model comparisons, prompting guides, and technique deep-dives.
ComfyUI-LTXVideo — Official Nodes ↗
Official Lightricks ComfyUI node repository. README covers LTXVConditioning, scheduler, IC-LoRA loaders, and sampler settings.
LTX-2.3 Model Card (Lightricks) ↗
Official HuggingFace model card: architecture notes, quantization options, and generation parameters.
Kijai LTX2.3 Comfy — FP8 / INT8 / MXFP8 Variants ↗
Community-built quantized checkpoints optimized for 16–24 GB VRAM. Includes FP8 scaled, INT8 convrot, and MXFP8 block-32 files.
Comfy-Org LTX-2 Split Files (Gemma 3 Encoders) ↗
FP4-mixed (9.5 GB), FP8-scaled (13.2 GB), and full BF16 (24.4 GB) Gemma 3 12B IT text encoders for all VRAM tiers.
ComfyUI extensions and plugins you'll need for advanced LTX 2.3 workflows
Tools Directory →
Curated list of ComfyUI nodes, plugins, and utilities reviewed for LTX 2.3 compatibility.
ComfyUI Manager ↗
The standard node installer for ComfyUI. Search and install any node including ComfyUI-LTXVideo directly inside the UI.
comfyui_controlnet_aux ↗
Preprocessor nodes for DWPose and Canny — required for the Union Control (Canny + Depth) IC-LoRA workflow.
ComfyUI-DepthCrafter-Nodes ↗
Depth estimation nodes used to drive the Union Control IC-LoRA depth channel from a reference video.
ComfyUI-Frame-Interpolation ↗
RIFE / FILM frame interpolation node — use to smooth temporal upscaling output after the LTX temporal x2 upscaler.
ComfyUI-VideoHelperSuite ↗
Video load, save, and preview nodes. Handles MP4 input/output and frame splitting for V2V workflows.
Get a JSON and start generating right now
Workflow Configurator →
Answer 5 questions about your GPU — get the right workflow JSON, model file, and node settings instantly.
Workflow Templates →
Curated official workflow JSONs: T2V, I2V, Union Control, Motion Track, HDR, LipDub, Upscaler.
Model Downloads →
All LTX 2.3 checkpoints, VAE files, Gemma encoders, IC-LoRAs, and upscaler files with VRAM guidance.
Official Example Workflows (GitHub) ↗
Lightricks' canonical workflow JSONs for every mode — reference implementation for the node graph structure.
VRAM Requirements Guide →
Which GPU works for which configuration. FP8 vs INT8 vs MXFP8 vs NVFP4 decision table.
See what LTX 2.3 can do and learn from other creators
Showcase Gallery →
Curated community generations: prompts, parameters, and technique breakdowns.
Community Discussions →
Hot threads from Reddit and Discord — tips, workarounds, and emerging techniques.
r/ltxvideo — Subreddit ↗
The main community hub for LTX Video discussion, examples, and troubleshooting.
r/comfyui — LTX 2.3 Posts ↗
ComfyUI community discussion filtered for LTX workflows, IC-LoRA setups, and generation tips.
Lightricks Discord ↗
Official Lightricks community server — early announcements, IC-LoRA releases, and direct developer feedback.
The technical foundations behind LTX 2.3 and related video generation models
Research Papers →
Curated arXiv paper summaries with context on what each contribution means for LTX 2.3 users.
LTX-Video: Realtime Video Latent Diffusion (arXiv) ↗
The original LTX-Video paper introducing the architecture, causal VAE, and rectified-flow training that underlies LTX 2.3.
DepthCrafter: Consistent Depth Estimation for Video (arXiv) ↗
The depth estimation model powering the Union Control IC-LoRA depth channel in ComfyUI-LTXVideo.
JustDubIt: Audio-Visual Lip-Dubbing (arXiv) ↗
Research behind the LipDub IC-LoRA — joint audio-visual generation that drives the lip-sync capability in LTX 2.3.
JavisBench: Audio-Visual Benchmark ↗
Benchmark used to measure audio-video sync quality. The LipDub LoRA achieves DeSync score 0.269 (vs 0.569 baseline) on this benchmark.