LTX-Best-Face-ID — Identity LoRA for LTX-2 (Reference-to-Video) Keep a person's identity in generated video. Give it one reference photo + a text prompt, and it generates a video of that person performing the action.<a target="_blank" rel="ugc" href="https://buymeacoffee.com/nrdx">If this model was helpful to you in any way, please consider helping me continue creating more model for the price of a coffee.</a> How it works The reference is injected as an overlap latent with TASS-RoPE (source-phase) tagging, plus a differentiable ArcFace identity loss — so the face transfers without becoming the first frame. Rank-128 LoRA, trained on HuMoSet (close-up / frontal identities). Base model: LTX-2 (22B). ⚠️ Requires the BFS Nodes for ComfyUI 👉 <a target="_blank" rel="ugc" href="https://github.com/alisson-anjos/ComfyUI-BFSNodes">https://github.com/alisson-anjos/ComfyUI-BFSNodes</a>Full model card + files (workflow): <a target="_blank" rel="ugc" href="https://huggingface.co/Alissonerdx/LTX-Best-Face-ID">https://huggingface.co/Alissonerdx/LTX-Best-Face-ID</a> Use the LTX Identity Transfer node → feed the reference image → load this LoRA on the MODEL path. Tips - Use a clean, frontal, well-lit close-up as the reference. - Identity is prompt-driven — describe the person's attributes (skin tone, hair, eyes, glasses, facial hair) for best results. The shared workflow's **Prompt Enhancer** can auto-describe the reference for you. - Prefix prompts with `ref_t2v:`. Limitations - Close-up bias — full-body / large-angle shots hold identity less well. - A bare/generic prompt gives weaker identity — describe the person. - The reference framing/accessories can partially copy into the video; a clean frontal reference minimizes it.

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