workflow-templates-broken-zap-2026-06-08/site/knowledge/models/ltx-video.md

LTX-Video

LTX-Video is Lightricks' open-source DiT-based video generation model, the first capable of generating high-quality videos in real-time.

Model Variants

LTX-Video 2 (v0.9.7/v0.9.8)

• Major quality upgrade over the original release
• Available in 2B and 13B parameter sizes
• 13B dev: highest quality, requires more VRAM
• 13B distilled: faster inference, fewer steps needed, slight quality trade-off
• 2B distilled: lightweight option for lower VRAM usage
• FP8 quantized versions available for all sizes (13B-dev, 13B-distilled, 2B-distilled)
• Multi-condition generation: condition on multiple images or video segments at specific frames
• Spatial and temporal upscaler models for enhanced resolution and frame rate
• ICLoRA adapters for depth, pose, and canny edge conditioning
• 9 workflow templates available

LTX-Video 0.9.1/0.9.6

• Original public releases with 2B parameter DiT architecture
• Text-to-video and image-to-video modes
• 768x512 native resolution at 24fps
• 0.9.6 distilled variant: 15x faster, real-time capable, no CFG required
• Foundation for community fine-tunes

Key Features

• Real-time video generation on high-end GPUs (first DiT model to achieve this)
• Generates 30 FPS video at 1216x704 resolution faster than playback speed
• Multi-condition generation with per-frame image/video conditioning and strength control
• Temporal VAE for smooth, consistent motion
• Multi-scale rendering pipeline mixing dev and distilled models for speed-quality balance
• Latent upsampling pipeline for progressive resolution enhancement

Hardware Requirements

• 2B model: 12GB VRAM minimum, 16GB recommended
• 2B distilled FP8: 8-10GB VRAM
• 13B model: 24-32GB VRAM (fp16)
• 13B FP8: 16-20GB VRAM
• 13B distilled: less VRAM than 13B dev, ideal for rapid iterations
• 32GB+ system RAM recommended for all variants

Common Use Cases

• Short-form video content and social media clips
• Image-to-video animation from reference frames
• Video-to-video transformation and extension
• Multi-condition video generation (start/end frame, keyframes)
• Depth, pose, and edge-conditioned video generation via ICLoRA
• Rapid video prototyping and creative experimentation

Key Parameters

• num_frames: Output frame count (divisible by 8 + 1, e.g. 97, 161, 257)
• steps: 30-50 for dev models, 8-15 for distilled variants
• cfg_scale: 3-5 typical for dev, not required for distilled
• width/height: Divisible by 32, best under 720x1280 for 13B
• denoise_strength: 0.3-0.5 when using latent upsampler refinement pass
• conditioning_strength: Per-condition strength for multi-condition generation (default 1.0)
• seed: For reproducible generation

Blog References

• LTX-Video 0.9.5 Day-1 Support — Commercial license (OpenRail-M), multi-frame control, improved quality
• LTX-2: Open Source Audio-Video AI — Synchronized audio-video generation, NVFP4 for 3x speed / 60% less VRAM