PKU-YuanGroup/ConsisID

[CVPR 2025 Highlight🔥] Identity-Preserving Text-to-Video Generation by Frequency Decomposition

49
/ 100
Emerging

Decomposes identity features across frequency components to maintain facial consistency without fine-tuning, operating as a plug-and-play module for DiT-based video diffusion models. The approach leverages frequency analysis insights from vision transformers to selectively preserve identity information while allowing stylistic variation. Integrates with Hugging Face Diffusers (v0.33.0+) and supports multiple backbone architectures including CogVideoX series, with optimized inference via TeaCache and xDiT frameworks.

835 stars. Actively maintained with 3 commits in the last 30 days.

No Package No Dependents
Maintenance 16 / 25
Adoption 10 / 25
Maturity 9 / 25
Community 14 / 25

How are scores calculated?

Stars

835

Forks

44

Language

Python

License

Apache-2.0

Last pushed

Mar 08, 2026

Commits (30d)

3

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/PKU-YuanGroup/ConsisID"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.