JackAILab/ConsistentID

Health v2 · maintenance only

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Adoption not part of the score

1026 stars · 81 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

ConsistentID is a diffusion-based portrait generation model and toolkit that preserves facial identity from a single reference image using multimodal fine-grained facial prompts (FaceParsing + FaceID). It ships with training/evaluation code, SD1.5 and SDXL variants, and the 500k+ image FGID dataset.

Use cases

• generate personalized portraits from a single face photo
• preserve identity consistency in AI-generated faces
• create consistent character portraits from text prompts
• use an identity adapter with community SDXL LoRA models
• train or evaluate identity-preserving portrait generation models
• access a large fine-grained facial portrait dataset

When to choose

• you need high-fidelity identity preservation in generated portraits without LoRA training
• you want rapid per-identity customization within seconds from one image
• you need an adapter compatible with other base models and LoRA modules
• you want a research-grade implementation with dataset and evaluation benchmark

When to avoid

• you need general-purpose image generation without identity constraints
• you lack a GPU or cannot host large diffusion model checkpoints
• you need production-grade commercial face generation with licensing guarantees beyond the model weights' terms
• you want lightweight on-device inference

Facets

library · maturity active

image-processing machine-learning deep-learning stable-diffusion sdk artificial-intelligence image-processing computer-vision deep-learning large-language-models python identity-preservation portrait-generation diffusion-models face-parsing sdxl research-paper tpami fgid-dataset zero-shot-customization adapter gpu docker web-server

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markdown · JSON · MCP: product_card(name="JackAILab/ConsistentID")