# qiucheng025/zao-

AI技术换脸源码

Repository: https://github.com/qiucheng025/zao-
Canonical: https://ross.abutalabs.com/products/zao
Language: Python
License Family: other
Topics: faceswap, ai, zao
Last push: 2023-10-03T21:30:35+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2553, "days_push": 1065, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1104, forks 376 (observed 2026-08-28T04:03:36.267354+00:00)

## What it is
A Python deep learning tool that identifies and swaps faces in images and videos, with extract, train, and convert workflows plus an optional GUI. It requires a modern CUDA-capable GPU for best performance and includes an explicit ethical-use statement.

## Use cases
- swap faces in photos with deep learning
- create face-swapped videos
- train a faceswap model from two sets of face photos
- extract faces from images and videos for training
- experiment with deepfake technology for learning
- run faceswap through a GUI

## When to choose
- you want a mature, well-documented open-source faceswap pipeline with extract/train/convert stages
- you have a CUDA GPU and want to train custom face-swap models
- you want to learn how deepfake technology works hands-on
- you need cross-platform support (Windows, Linux, macOS)

## When to avoid
- you need a no-license project for commercial use - the repository has no license, so usage rights are unclear
- you want a one-click consumer app rather than a training workflow
- you cannot provide a GPU or accept slow CPU training
- you intend non-consensual or unethical face swapping - the project explicitly forbids this

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, image-processing, video-processing, computer-vision
- domain: deep-learning, computer-vision, image-processing, artificial-intelligence
- platform: python, windows
- tags: faceswap, deepfake, face-swapping, deep-learning, gan, media-manipulation, ethics-statement, video, linux, macos, gpu

## Member repositories
- qiucheng025/zao- (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:36.267354+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:45:29.237215+00:00, confidence not recorded.
  - readme: https://github.com/qiucheng025/zao- (fetched 2026-08-28T04:03:36.267354+00:00, sha 4e84e7449f8a)
- Data as of 2026-08-30T08:39:29.467469+00:00.