LTX-Best-Face-ID

LTX-Best-Face-ID — LTX-2.3 Identity LoRA (Reference-to-Video / IPT2V) An identity-preserving **reference-to-video** LoRA for **LTX-2.3 (22B)**. Give it a reference photo of a person + a text prompt, and it generates a video that keeps that person's identity. Built with **overlap reference conditioning + TASS-RoPE (source-phase RoPE)** and a differentiable ArcFace identity loss**. Runs in ComfyUI via the companion **BFS Nodes**. **Status:** two reference modes are now available from the same recipe: the original **close-up face** reference, and a newer **character-sheet** reference (face + full-body views) that also carries clothing/appearance consistency — see Character-Sheet Reference below. Other experimental variants (native Gemma-vision conditioning, timestep-split texture injection) may be released later if they prove out. 🎬 Examples 🎬 Face ID Base tag renders inline; .gif works too. Suggested layout: reference image (left) → generated video (right), with the prompt underneath. 🎬 Character Sheet What it does **Reference-to-video (ref_t2v):** one reference image → video of that identity performing the prompt's action. Identity is injected by placing the **reference latent** in the target's frame-0 RoPE grid (overlap) and tagging it with a distinct **source phase** so the model knows it is a *reference*, not the first frame to generate. An auxiliary **ArcFace face-similarity loss** on the decoded prediction sharpens the identity. How it works (technique) Overlap reference + TASS-RoPE (source-phase) The reference latent is concatenated to the video sequence sharing the frame-0 grid (classic IC-LoRA "overlap"). To stop the reference from leaking into / being confused with the generated first frame, each source gets a distinct **multiplicative RoPE phase**: This "source tag" lets the model separate *who is who* in the sequence and strongly improves identity transfer. Because the tag is positional, the same mechanism generalizes to **multiple references** (source_id