LTX 2.3 Prompting Guide

A Complete Reference Guide for AI Video Generation

Introduction: Beyond Text-to-Image Prompting

1. The Video Generation Paradigm Shift
2. What Makes LTX 2.3 Different
3. How to Use This Book

Chapter 1: Architecture and Foundations

1. The Diffusion Transformer Backbone
2. Asymmetric Dual-Stream Design
3. Text Conditioning Pipeline
4. Latent Space and VAE Architecture
5. Hardware Requirements and Deployment Options

Chapter 2: Prompt Syntax and Structure Fundamentals

1. The Single Paragraph Rule
2. Tense, Voice, and Narrative Flow
3. Prompt Length and Duration Matching
4. The Subject-to-Mood Ordering Principle
5. What to Include and What to Exclude

Chapter 3: Camera Language and Cinematic Direction

1. Shot Types and Framing Vocabulary
2. Camera Movement Commands
3. Angles and Perspective Control
4. Depth of Field and Lens Language
5. Multi-Movement Combinations

Chapter 4: Motion Prompting and Temporal Design

1. Action Beats and Pacing
2. Verbs That Drive Motion
3. Environmental and Atmospheric Movement
4. Character Acting Through Physical Cues
5. Avoiding Slow-Motion Defaults

Chapter 5: Audio Prompting and Synchronization

1. How Synchronized Audio Works
2. Prompting for Ambient Sound and Effects
3. Dialogue and Voice Direction
4. Audio-to-Video Generation Mode
5. The LipDub IC-LoRA Workflow

Chapter 6: Image-to-Video and Video-to-Video Workflows

1. Text-to-Video as Baseline
2. Image-to-Video Prompting Strategies
3. First-Last Frame to Video (FLF2V)
4. Video-to-Video Transformation Modes
5. Image-Audio-to-Video Combinations

Chapter 7: Parameter Optimization and Guidance Control

1. Classifier-Free Guidance (CFG Scale)
2. Spatio-Temporal Guidance (STG Scale)
3. Modality Scale and Cross-Modal Sync
4. Denoising Steps and Quality Tradeoffs
5. Parameter Ranges by Use Case

Chapter 8: Advanced Prompt Patterns and Templates

1. The Master Template Structure
2. Cinematic Scene Pattern
3. Product and Commercial Pattern
4. Character Portrait Pattern
5. Atmospheric Environment Pattern
6. Short-Form Hook Pattern
7. Template Adaptation Principles

Chapter 9: Character Consistency and LoRA Systems

1. Why Characters Drift
2. Image Conditioning for Frame Anchoring
3. IC-LoRA Adapters: Pose, Motion, Union Control
4. Custom Character and Style LoRA Training
5. Multi-Shot Consistency Workflows

Chapter 10: Troubleshooting Common Issues

1. Motion Artifacts and Warble
2. Face Drift and Identity Loss
3. Text and Logo Hallucination
4. End-of-Clip Glitching
5. VRAM and Performance Errors
6. Slow Motion When Fast Action Is Intended
7. General Troubleshooting Methodology

Chapter 11: Performance Optimization and Pipeline Design

1. Distilled vs Dev Model Selection
2. Quantization Formats Compared
3. Low-VRAM Optimization Strategies
4. Batch Generation and Seed Management
5. Upscaling and Temporal Interpolation

Chapter 12: Real-World Applications and Production Workflows

1. Advertising and Product Video
2. Social Media and Short-Form Content
3. Film Previsualization and Storyboarding
4. Localization and Dubbing Pipelines
5. Hybrid Workflows with Complementary Tools

Chapter 13: Emerging Practices and Future Directions

1. Community-Discovered Techniques
2. Multi-Model Pipeline Integration
3. Training Data Considerations and Ethics
4. Model Evolution Trajectory
5. Preparing for What Comes Next

Conclusion: Mastery Through Systematic Practice

1. The Prompting Mindset
2. Building Your Own Reference Library
3. Iteration as Creative Method

References