Best-FaceID
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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.
If this model was helpful to you in any way, please consider helping me continue creating more model for the price of a coffee.
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
👉 https://github.com/alisson-anjos/ComfyUI-BFSNodes
Full model card + files (workflow): https://huggingface.co/Alissonerdx/LTX-Best-Face-ID
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.
