JackAILab/ConsistentID
A multimodal diffusion model for high-fidelity portrait generation that preserves facial identity across diverse poses and styles.
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ConsistentID is a portrait generation system designed to maintain fine-grained identity preservation using a diffusion model architecture. It integrates FaceParsing and FaceID information into the generation pipeline to achieve high identity fidelity without sacrificing diversity or text controllability. The system allows rapid customization within seconds without requiring additional LoRA training, and has been published in TPAMI 2026. Models are available for both SDv1.5 and SDXL versions on HuggingFace.
Frequently asked
- What is JackAILab/ConsistentID?
- A multimodal diffusion model for high-fidelity portrait generation that preserves facial identity across diverse poses and styles.
- Is ConsistentID open source?
- Yes — JackAILab/ConsistentID is open source, released under the MIT license.
- What language is ConsistentID written in?
- JackAILab/ConsistentID is primarily written in Python.
- How popular is ConsistentID?
- JackAILab/ConsistentID has 1k stars on GitHub.
- Where can I find ConsistentID?
- JackAILab/ConsistentID is on GitHub at https://github.com/JackAILab/ConsistentID.