ai-agent

Deep-Live-Cam: Real‑Time Face Swap for Instant Video Demos

Swap faces live or generate a deepfake video from a single photo in seconds—perfect for founders showcasing AI‑powered product demos. 96k+ GitHub stars.

From the repo · “real time face swap and one-click video deepfake with only a single image”

97,180 stars+86★ this week14,147 forksPythonGuide quality 9/10 · reviewed Sep 29Updated 10/22/2026100% free · open source
What it does

Deep-Live-Cam allows you to create real-time face swaps and one-click video deepfakes using just a single image

When to use it
  • •Creating interactive marketing content that requires real-time face replacement
  • •Developing immersive experiences, such as virtual try-on or interactive storytelling
  • •Generating synthetic video data for training AI models
Ready-to-paste prompt
python deep_live_cam.py --input-video 0 --output-video output.mp4 --face-image images/face.jpg
Heads up: Ensure you have the necessary GPU drivers and CUDA versions installed, as Deep-Live-Cam relies on GPU acceleration for real-time performance
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/deep-live-cam && curl -fsSL https://workflowstacks.com/api/skills/deep-live-cam/claude-skill -o ~/.claude/skills/deep-live-cam/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Deep-Live-Cam: Real‑Time Face Swap for Instant Video Demos works
Codeflow
Free to inspect

Deep-Live-Cam: Real‑Time Face Swap for Instant Video Demos is a medium Python project (~8.1k lines across 33 code files, plus 2 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit this month, AGPL-3.0 license, has a test suite.

Size
Medium codebase
~8.1k lines · 33 code files · ~1 h to skim
Setup
Some technical setup
Comfortable with a terminal? 20–40 min. Otherwise ask a dev.
Runs on
Python
No API keys detected
Python 100%
What happens, step by step

Face swap happens in real-time

You give
User face
1Select Face
Choose a face to swap
2Run Program
Start the face swap process
run.py
3Use Camera
Select camera to use
4Press Live
Start live face swap
You get
Swapped video
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    run.py
    Where the program starts running
  3. 3
    pyproject.toml
    Dependencies and the commands it exposes
What's in each folder
modules/Sub-packages / plugins31 files
locales/Translations10 files
models/Data models & types1 files
media/Images & static assets10 files
.github/CI / automation (GitHub Actions)2 files
tests/Tests — proof it works2 files
READMEHas testsDocumentedCI checksAGPL-3.0 licenseUpdated this month
Quick Actions
Details
Creator
hacksider
Language
Python
Category
ai-agent
Published
9/24/2023

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/deep-live-cam.svg)](https://workflowstacks.com/skills/deep-live-cam?utm_source=github&utm_medium=badge)
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