LTX Video 2.3: Cinematic Action Sequences
LTX Video 2.3 is the gold standard for high-motion consistency in AI video. This guide covers how to lock camera movement and maintain character consistency across high-speed action shots.
#Hardware Requirements
| GPU | VRAM | Recommended Use |
|---|---|---|
| RTX 5080 | 16GB | Full quality, all models |
| RTX 4090 | 24GB | Full quality, batch generation |
| RTX 3080 16GB | 16GB | Full quality, slower |
| RTX 3080 10GB | 10GB | Reduced resolution |
| RTX 3060 | 12GB | Standard models only |
Minimum: 6GB VRAM for SD1.5. FLUX requires at least 12GB.
#Step 1 — Install Prerequisites
Python 3.10.x (required)
Download from python.org — use exactly 3.10.x, not 3.11 or 3.12.
Git
CUDA Toolkit
Download CUDA 12.1 from nvidia.com/cuda-downloads. Match your driver version.
#Step 2 — Clone ComfyUI
#Step 3 — Install Dependencies
#Step 4 — Install ComfyUI Manager
ComfyUI Manager lets you install custom nodes with one click.
#Step 5 — Download Your First Model
Place models in ComfyUI/models/checkpoints/
Recommended starter model:
#Step 6 — Launch ComfyUI
Open your browser to: http://127.0.0.1:8188
#RTX 5080 Optimal Settings
These settings maximize quality and speed on 16GB VRAM:
#Installing Essential Custom Nodes
In ComfyUI Manager, install these nodes first:
- →ComfyUI-Impact-Pack — face detailing, segmentation
- →ComfyUI_IPAdapter_plus — image prompt adapter
- →ComfyUI-AnimateDiff-Evolved — video animation
- →ComfyUI-VideoHelperSuite — video input/output
- →rgthree-comfy — better node organization
#Your First Workflow
Once launched, load the default workflow:
- →Click Load in the top menu
- →Select
default_workflow.json - →Change the checkpoint to your downloaded model
- →Click Queue Prompt
You should see your first image generate in 15–30 seconds on an RTX 5080.
#Performance Benchmarks
Tested on RTX 5080 16GB:
| Model | Resolution | Steps | Time |
|---|---|---|---|
| SDXL | 1024x1024 | 20 | ~3.2s |
| FLUX Dev FP8 | 1024x1024 | 20 | ~8.1s |
| SD 1.5 | 512x512 | 20 | ~0.8s |
| LTX Video | 768x512 97f | 25 | ~5.4s |
#Common Issues
"CUDA out of memory" — Add --lowvram to launch command, or reduce batch size to 1.
Black images — Wrong VAE. Download the correct VAE for your model.
Slow generation — Ensure --gpu-only flag is set and venv is activated.
Nodes missing — Open ComfyUI Manager and click "Install Missing Custom Nodes".