Mindket

deep-live-cam

Newversion 1 · updated

Overview

Holds model files for the diffusers library under the name deep-live-cam, shared under GPL-3.0. The page has no description, so any face swap use should involve only faces you have the right to use.

deep-live-cam is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python
  • The Hugging Face command line
  • Free disk space, since the page does not give the size
Runs in
  • Windows, macOS or Linux with Python, to download the files
  • Python projects that use the diffusers library
  • The software of the project this repository belongs to, whose instructions the page does not include
Start with
pip install -U huggingface_hub
hf download hacksider/deep-live-cam

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This is a model repository named deep-live-cam by hacksider, built for the diffusers library and stored as Safetensors. The page has no model card, so it does not say what the files do. The name points to live camera use, and projects with this name are known as face swap tools.

Who it suits

It suits people who already know the Deep Live Cam project and want its model files on their own computer, and developers who work with diffusers.

IndustryWho uses itHow they use itExample
Video and streamingCreators who try live video effectsUse the files with the project's own softwareRead the project's instructions before pointing it at a camera
Software developmentDevelopers who build on diffusersLoad the Safetensors files in codeFetch the repository with hf download
ResearchPeople who study face swap technologyInspect the files and their licenseRead the GPL-3.0 terms before reuse

If you need documentation or a ready-to-run demo, you can skip it, since the page offers neither.

Where to use it

  • Windows, macOS or Linux with Python, to download the files
  • Python projects that use the diffusers library
  • The software of the project this repository belongs to, whose instructions the page does not include
Use caseWhoWhat they get back
Fetch the filesAnyone with PythonThe repository contents in a local folder
Load in codeDevelopersA starting point for a diffusers setup, with details found elsewhere
Study the releaseResearchersA look at the files and their GPL-3.0 license

How to set it up

What you need first:

  • Python
  • The Hugging Face command line
  • Free disk space, since the page does not give the size
  1. Install the Hugging Face tools with pip.
  2. Download the repository to your computer.
  3. Look for run instructions outside this page, because the page gives none.
pip install -U huggingface_hub
hf download hacksider/deep-live-cam

How to use it

The page does not say how to run the files. After the download, open the folder to see what it holds, and follow the instructions of the project it belongs to. Use any face swap only with faces you have the right to use.

Example

You run the download command and the files appear on your computer. Nothing on the page shows what they produce, so read the project's own notes before connecting them to a camera.

For newcomers and experts

This is a bare repository with no description and no sample. A good first step is to download it and read the file list, then look up the project behind it.

For experts, Hugging Face lists diffusers as the library and Safetensors as the format. It shows one fine-tuned version by other people and no quantized ones. The GPL-3.0 license carries conditions on sharing changes, so read it before you reuse the files.

  1. Download the files with hf download
  2. Open the folder and read what it holds
  3. Find the run instructions of the project behind it
  4. Use only faces you have the right to use

Good to know

  • Documentation: the page has no model card, so its purpose and settings are not described.
  • Consent: use it only with faces you have the right to use.
  • Format: the files are Safetensors for the diffusers library.
  • License: gpl-3.0
  • Cost to run: no API key or paid service named.
  • Data it reaches: it downloads files from Hugging Face. Anything beyond that depends on software the page does not describe.
  • Not for: using another person's face without the right to do so.

README and files

README

deep-live-cam

Holds model files for the diffusers library under the name deep-live-cam, shared under GPL-3.0. The page has no description, so any face swap use should involve only faces you have the right to use.

Made by hacksider on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: This is a model repository named deep-live-cam by hacksider, built for the diffusers library and stored as Safetensors. The page has no model card, so it does not say what the files do. The name points to live camera use, and projects with this name are known as face swap tools.

Who it suits: It suits people who already know the Deep Live Cam project and want its model files on their own computer, and developers who work with diffusers.

Industry | Who uses it | How they use it | Example
Video and streaming | Creators who try live video effects | Use the files with the project's own software | Read the project's instructions before pointing it at a camera
Software development | Developers who build on diffusers | Load the Safetensors files in code | Fetch the repository with hf download
Research | People who study face swap technology | Inspect the files and their license | Read the GPL-3.0 terms before reuse

If you need documentation or a ready-to-run demo, you can skip it, since the page offers neither.

Where to use it:

  • Windows, macOS or Linux with Python, to download the files
  • Python projects that use the diffusers library
  • The software of the project this repository belongs to, whose instructions the page does not include
Use case | Who | What they get back
Fetch the files | Anyone with Python | The repository contents in a local folder
Load in code | Developers | A starting point for a diffusers setup, with details found elsewhere
Study the release | Researchers | A look at the files and their GPL-3.0 license

How to set it up: What you need first:

  • Python
  • The Hugging Face command line
  • Free disk space, since the page does not give the size
  1. Install the Hugging Face tools with pip.
  2. Download the repository to your computer.
  3. Look for run instructions outside this page, because the page gives none.
pip install -U huggingface_hub
hf download hacksider/deep-live-cam

How to use it: The page does not say how to run the files. After the download, open the folder to see what it holds, and follow the instructions of the project it belongs to. Use any face swap only with faces you have the right to use.

Example: You run the download command and the files appear on your computer. Nothing on the page shows what they produce, so read the project's own notes before connecting them to a camera.

For newcomers and experts: This is a bare repository with no description and no sample. A good first step is to download it and read the file list, then look up the project behind it.

For experts, Hugging Face lists diffusers as the library and Safetensors as the format. It shows one fine-tuned version by other people and no quantized ones. The GPL-3.0 license carries conditions on sharing changes, so read it before you reuse the files.

Download the files with hf download
Open the folder and read what it holds
Find the run instructions of the project behind it
Use only faces you have the right to use

Good to know:

  • Documentation: the page has no model card, so its purpose and settings are not described.
  • Consent: use it only with faces you have the right to use.
  • Format: the files are Safetensors for the diffusers library.
  • License: gpl-3.0
  • Cost to run: no API key or paid service named.
  • Data it reaches: it downloads files from Hugging Face. Anything beyond that depends on software the page does not describe.
  • Not for: using another person's face without the right to do so.

On Hugging Face, 13 November 2026

  • Library: diffusers
  • Formats: Safetensors
  • Downloads in the last 30 days: 11,749
  • Likes: 155
  • License: gpl-3.0
  • Fine-tunes: 1
  • Tags: diffusers, onnx, safetensors

Links

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download hacksider/deep-live-cam

Then follow the usage in its model card. Nothing in this kit runs by itself.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face models in the same category that share the most tags with this one.

ProductDownloads, last 30 daysLikesParametersLicenseLast change
deep-live-cam This page11,749155—gpl-3.0
stable-diffusion-xl-base-1.0Shares diffusers · onnx · safetensors4,688,5228,4662.6Bopenrail++
Wan2.2-Animate-14BShares diffusers · onnx · safetensors235,2431,31117.3Bapache-2.0
Animagine XL 4.0Shares diffusers · safetensors1,026,8075822.6Bopenrail++
Stable Diffusion v1-5Shares diffusers · safetensors1,012,9821,364860Mcreativeml-openrail-m
Z-Image-TurboShares diffusers · safetensors765,8045,5946.2Bapache-2.0
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

Reviews

No ratings yet

Write a review

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What people say

Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.

0x_rsDiscord will require a face scan or ID for full access next monthI predict out-of-the-box deepfake live-camera software will get a bump in popularity, there's already plenty solutions available that need minimal tinkering. It should be trivial to set up for the purpose of verification and I don't see those identity verification providers being able to do…Shark Ratinghacksider/Deep-Live-Cam - Deep-Live-Cam is an open-source, cutting-edge artificial intelligence (AI) project that enables real-time face swapping and video deepfaking with just a single image. Designed for the AI-generated... #OpenSource #GitHub2 likes@Suercha007给大家分享个神奇的项目。 Deep-Live-Cam 这个项目快十万星。 一张照片,摄像头一开,实时换脸。 为什么神奇呢,因为他比较古早,方法也很简单,就是两个开源模型串起来,加个摄像头,当然也支持离线视频。 部署没什么门槛,8G显存就能跑,效果还可以,感兴趣可以试下。 https://t.co/CQfi5qyjoo https://t.co/2m1zyJU4W9mikae1Meta Ray-Ban DisplayDesktop browser & https://github.com/hacksider/Deep-Live-Cam☣ KitPloit - Hacker ToolsDeep-Live-Cam v2.7.5-Ultimate — real time face swap and one-click video deepfake with only a single image https://kitploit.com/tools/github/hacksider/deep-live-cam?utm_source=bluesky&utm_medium=social&utm_campaign=kitploit&utm_content=3594581 like@laogeai9.7 万星。Deep-Live-Cam 实时换脸,一张照片就够了,摄像头前直接换。 门槛降到几乎为零,滥用的成本也跟着降。视频里那个人是不是本人,得留个心眼了。 https://t.co/QUC6cx5413SparkyMcUnicornAn interview question that will protect you from North Korean fake workers"deepfaking" video[0] and voice is relatively easy these days, and is definitely being employed by some of these candidates. Lower the "webcam" quality a little bit, and it can be difficult for many interviewers to notice something is off. [0] https://github.com/hacksider/Deep-Live-CamAI без границМеняем лицо на вебке по одному фото — Deep-Live-Cam Deep-Live-Cam — опенсорсная программа для подмены лица в реальном времени: на вебке, в стриме или на готовом видео. Работает с одной фотографией. 💻 Что умеет: • Сохраняет движения... https://github.com/hacksider/Deep-Live-Cam http://run.py/@MMIA18EMVInvokeAI (27k★) Professional Stable Diffusion interface with ControlNet and canvas editing. -> Easier than ComfyUI, more powerful than basic WebUIs. https://t.co/wBANFR8TirRetr0idDiscord's face scanning age checks 'start of a bigger shift'I'm in the UK and discord has asked me to complete this check (but I haven't, yet). I can still use discord just fine, it just won't let me view any media it considers "adult". I am an adult but refuse to let them scan my face as a matter of principle, so I've considered using…VritraSec • GitHub Feed🚀 GitHub Intelligence Drop Deep-Live-Cam (Python • 🟢) ⭐ 96.8K → https://github.com/hacksider/Deep-Live-Cam playwright (TypeScript • 🟢) ⭐ 96.7K → https://github.com/microsoft/playwright ⚡ Only signal. Zero noise.@the_osps• Live deepfake in 3 clicks • Mouth mask for accurate mouth movement • Face mapping for multiple subjects simultaneously

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