SKILL: LTX 2.3 Image-to-Video Workflow Master

Version: 1.0 | Hermes Agent LTX I2V Pipeline & Anchor Strategy Specialist

DESCRIPTION

Comprehensive workflow doctrine for LTX 2.3 Image-to-Video (I2V) generation — the most reliable method for visual consistency in AI video production. This skill encodes the anchor image requirements, prompt adaptation rules for I2V mode, the motion-from-still transition grammar, ComfyUI node architecture, and multi-shot continuity strategies required to transform FLUX 2 still frames into temporally coherent video sequences. Covers anchor quality thresholds, the I2V prompt subtraction principle, latent injection mechanics, and the shot-to-shot handoff protocol for narrative sequences.

TECHNICAL PARAMETERS

Why I2V Beats T2V for Consistency:

• T2V Limitation: LTX 2.3 generates the first frame from text. Visual identity can vary significantly from the intended look.
• I2V Advantage: The first frame is locked to a high-quality reference image. The model animates FROM that exact visual state rather than generating it.
• Consistency Spectrum: T2V character drift: 40–60% across frames. I2V with good anchor: 85–92% across frames. I2V + ID-LoRA: 95%+.
• Temporal Degradation: Even I2V consistency weakens toward the end of longer clips. Plan shorter takes (under 5 seconds) for critical identity shots.

The Anchor Image Quality Threshold: