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PineAmbassador/face_preservation
face_preservation is a machine learning model from PineAmbassador. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
tags: - text-to-video - video-to-video - comfyui - ltx-video - ltx-2.3 - character-consistency - temporal-coherence ---
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Updated Jun 7, 2026
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From the Hugging Face model README
tags:
An advanced ComfyUI workflow architecture designed to achieve flawless character identity preservation across extreme temporal motion sequences (including full 360° rotations and out-of-sight blind spots) using a unified Custom LoRA + IC-LoRA Spatial-Temporal Anchor system.
Maintaining a subject's likeness in diffusion-based video models during major structural changes—like a person turning fully around—typically leads to identity drift, facial morphing, or "hallucinated" features when the face returns to the camera view.
By decoupling conditioning, this pipeline splits identity retention into a micro and macro layer:
STAGE 1: Native Spatial Generation (512x512)
[Base Model + Custom LoRA]
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[LTXAddVideoICLoRAGuide] ───► [KSampler] ───► [Audio Latent Injection] ───► [VAE Decode]
(Pure Video Latents Only)