locally-uncensored README

The project's README from github.com/PurpleDoubleD/locally-uncensored. As one markdown file: README.md.

Locally Uncensored

Locally Uncensored

The all-in-one local AI studio for your desktop. Chat, images, video and a coding agent in one app. Install it, pick a model, go.

Free, open source, Windows and Linux. Everything runs on your own machine. No Docker, no terminal, no config files.

License: AGPL v3 GitHub stars GitHub last commit GitHub Discussions Discord Website

Locally Uncensored in use

Download · Three steps · What is in the box · How it compares · Models · FAQ

Chat that draws your images Images and video in the same window
Chat Create
The coding agent shows the diff first Agent mode does the legwork
Coding agent Agent mode

Download

Take the latest build from Releases.

Platform File Status
Windows 10 and 11 Locally.Uncensored_3.0.5_x64-setup.exe (NSIS, recommended) or Locally.Uncensored_3.0.5_x64_en-US.msi Tested every release, signed auto update channel
Linux Locally.Uncensored_3.0.5_amd64.AppImage, Locally.Uncensored_3.0.5_amd64.deb or Locally.Uncensored-3.0.5-1.x86_64.rpm Built on every release
macOS no desktop build LU Cloud runs in the browser at lu-labs.ai

Some antivirus engines flag unsigned NSIS installers that download other binaries, which is a false positive. The installer is built by GitHub Actions from the public source on master, and the update channel is signed against a public minisign key, so you can verify both: see SECURITY.md.

Code signing for the Windows installers: free code signing provided by SignPath.io, certificate by SignPath Foundation. The application is in review, and until it is approved the installers ship unsigned.

Current release: v3.0.5 (October 2026). Every change since 1.0.0 is in CHANGELOG.md.

3.0.5 is about Create: LTX 2.5, FastH3 and YuE2 run on your own machine, Qwen-Image 2.1 gets a transparent background and its prompt enhancer, Edit, Remove Background and Enhance Image take up to 50 images in one go, and LU Cloud adds Qwen Image 2.1, LTX 2.5, MiniMax H3 and Wan 3.0 Reference. Chat takes any file, each model in a group chat can have its own persona, dropdowns stay inside the window (issue 149), and the speech install works again on Ubuntu 24.04.

3.0.4 fixed the Code agent and the agent in chat on LU Cloud: writing a long file no longer ends the run, "continue" picks up where a run stopped instead of starting over, the agent keeps a plan only when you ask for one, and cloud context is 32K by default and can be set per model. It also fixed the bugs reported on GitHub and Discord since 3.0.3 (issues 144 to 147): MiniMax H3 runs as a video model with sound, Edit takes up to three extra images with Qwen-Image 2.1, a missing encoder or VAE is named and offered as a download instead of ending in "Value not in list", the LoRA stack follows the loras folder, and group chat works with every LU Engine model.

3.0.3 was a hotfix: chats with many images no longer run the app out of memory, Create reads a model's family from the file instead of its name, and the five bugs reported on GitHub since 3.0.2 are fixed (issues 139 to 143).

3.0.2 was a hotfix: the Code tab lost its scrollbar and its input box once a conversation grew taller than the window (issue 138, a regression in 3.0.1) and is held to the window height again, and the count of open cloud models now takes the Create Studio endpoints in, which makes it fourteen video models and seven image models.

What is new in 3.0.1

Three steps

  1. Install. Run the installer like any other program. On first launch a wizard looks for an AI engine that is already running on your machine, and installs one for you with a single click if there is none. It does the same for ComfyUI, which draws the images and video.
  2. Pick a model. The model manager marks which models fit your hardware and downloads them in one click. It works with the engine you already have (Ollama, LM Studio and others) and can link models those tools already store, without copying them.
  3. Create. Chat, Create, Code and Agent are tabs in one window. Type in one, switch to the next, keep the same models.

Walkthrough with screenshots: Getting started guide. New to local AI: the five minute beginner guide.

Build from source, or contribute
git clone https://github.com/PurpleDoubleD/locally-uncensored.git
cd locally-uncensored
npm install
npm run dev          # browser dev mode
npm run tauri build  # desktop binary

setup.bat on Windows and setup.sh on Linux and macOS bootstrap Node, Git and Ollama for dev mode. See the contributing guide.

What is in the box

Chat. Models that answer directly, without refusals, next to the mainstream ones in the same menu. Thinking is shown as it happens, with an effort control on the models that offer one. Upload an image and ask about it, chat with your own documents through a local index, talk instead of typing and have answers read back, keep a memory across conversations, switch personas, and import your ChatGPT, Claude or Gemini export so the old threads come with you. A long conversation folds its older turns into a summary instead of running out of room.

Create. Images and video on your own GPU through a ComfyUI the app installs, starts, repairs and updates for you. No node graphs. The lanes are text to image, edit and image to image with a mask for inpainting, remove background, video, animate an image, extend a clip, motion control, talking character, music, and Character Studio, which trains a character on your own card and drops it into your local LoRA folder. A LoRA picker with a stack and strength sliders reads the folder live, and everything you make lands in the gallery. Upscale and Erase Object are the two lanes that run in the cloud only. How it works.

Code. A coding agent that builds a map of the repo, edits only the lines you asked for, shows the diff before it applies anything, runs your tests and reads the failures, and carries typed git tools and per project rules in a .lurules file. Ask, Plan and Bypass modes per conversation, a file explorer with preview, and a workspace per project. A Local API in Settings puts every local model on one OpenAI compatible address behind a token, so your other coding tools can use the same machine.

Agent. Web search and fetch, reading and writing files, a shell, code execution, screenshots, image and video generation, and your own MCP servers on top. Long jobs go to background agents that work while you carry on, and a panel shows what is running. Every tool call passes a permission gate you control, and a read only run stays read only.

Everywhere. Reach the app from your phone over your LAN or through a Cloudflare tunnel, paired by QR code and a passcode, off until you turn it on, with connected devices listed. Compare two models side by side, benchmark them on your own hardware for speed, cost and correctness, and take updates over a signed channel. Phone details.

Optional: LU Labs Cloud

Some models are larger than any desktop card. Flip the Cloud switch in the same app and those run on hosted GPUs instead, with the heavy Create lanes alongside them. The same account works in the browser at lu-labs.ai, on a plan or on credit packs that do not expire. The local app stays free either way, and switching back to local costs nothing: plans and prices.

Since 3.0.0 the catalogue says what it can back up. Every cloud chat model was asked the same two questions twice and judged on the answer, and a longer three-round test on 2026-10-05 took the mark from five more: 19 of the 46 we measured answer in full, and only those carry a No refusals mark in the picker. Across all measured answers, 5% were refusals. 12 models cost no credits at all in chat on an active plan, up to 500,000 input and output tokens per day. For images and video, 14 video and 7 image models run without a built-in content restriction, most of them with Uncensored in the name, and your account decides what they may produce.

How it compares

Locally Uncensored Open WebUI LM Studio Jan SillyTavern
Chat Yes Yes Yes Yes Yes
Image generation Yes No No No Partial
Video generation Yes No No No No
Image to image and image to video Yes No No No No
Coding agent Yes No No No No
Agent with tools and MCP Yes No No No No
Works out of the box Yes No Yes Yes No
Remote access from your phone Yes Partial No No Partial
Compare and benchmark Yes No No No No
Answers directly, without refusals Yes No No No Partial
Voice in and out Yes Partial No No Partial
Document chat Yes Yes No No No
Runs without Docker Yes No Yes Yes Yes
Open source Yes Yes No Yes Yes

Deep dives: vs LM Studio · vs Jan · vs Open WebUI · vs GPT4All · vs Msty · vs KoboldCpp · vs SillyTavern · LM Studio alternatives · Best local AI apps 2026

Models that run well

The model manager holds the full catalog and marks what fits your machine. These are the ones worth starting with.

Text

Model Download Notes
Qwen 3.8 27B Uncensored 18 GB Vision, tools and switchable thinking, 262K context. The IQ2_M build is 11 GB and fits a 12 GB card.
Gemma 4 12B Heretic 7.4 GB Vision, a different voice from the Qwen line. The IQ4_XS build is for 8 GB cards.
Qwen3-VL 8B Abliterated 5 GB Image understanding on an 8 GB card.
Hermes 3 Llama 3.1 8B 5 GB Native tool calling. The small model to give the agent.
Llama 3.1 8B Abliterated 5 GB Fast and reliable, the usual first download.
GLM 4.7 Flash Heretic 10 GB 30B class in an IQ2_M build that fits 12 GB.
Qwen 3.6 35B MoE Abliterated 24 GB 35B total with 3B active, vision and agentic coding.

GLM 5.3 is in the catalog too, but its smallest local quant is 217 GB, so on a desktop it is cloud territory. Kimi K3 is further out still.

Image

Model VRAM Notes
Juggernaut XL V9 6-8 GB Photoreal SDXL, the friendliest entry point.
DreamShaper XL Turbo V2 6-8 GB Anime and stylized.
FLUX.1 schnell or dev 8-10 GB Fast, or slower and better.
FLUX 2 Klein 4B 8-10 GB The newest FLUX, and the quickest of them.
Z-Image Turbo 10-16 GB Unfiltered. Loads slowly below 16 GB.
Qwen-Image 2.1 16-24 GB Generates and edits in one model. Needs ComfyUI 0.37.0. Research license, non-commercial.
Qwen-Image 2.1 (No Refusals) 16-24 GB The same model with a community text encoder that has its refusals removed (Heretic).
Noct Q (Qwen-Image 2.1, Unfiltered) 16-24 GB A community finetune of Qwen-Image 2.1 with modified image model weights. Research license, non-commercial.
ERNIE-Image Turbo 24 GB Baidu DiT, eight steps.

Video

Model VRAM Notes
AnimateDiff Lightning 6-8 GB Four step animation, the cheapest way in.
FramePack F1 6-8 GB Image to video on a small card.
Wan 2.1 1.3B 8-10 GB Light text to video.
Wan 2.1 14B FP8 12+ GB The quality step up.
Wan 2.2 TI2V 5B 12+ GB Image and text to video in one model.
HunyuanVideo 1.5 FP8 12+ GB Strong frame to frame consistency.
LTX Video 2.3 22B FP8 16+ GB The newest LTX.

Music runs on ACE Step 1.5 Turbo at 6-8 GB, and Talking Character on Wan 2.2 S2V from 10-12 GB.

Bring your own engine

If you already run a local engine, the app finds it and lists it instead of installing a second one. It detects Ollama, LM Studio, vLLM, KoboldCpp, llama.cpp, LocalAI, Jan, TabbyAPI, GPT4All, Aphrodite, SGLang, TGI, LiteLLM and text-generation-webui, and it ships its own LU Engine for people who have none. Cloud providers are optional and use your own keys: OpenAI, Anthropic, OpenRouter, Groq, Together, DeepSeek, Mistral, or any OpenAI compatible address you paste in.

FAQ

Is it really free and offline? Yes. AGPL-3.0, no account, no usage limits. In local mode chat, agent runs and image and video generation all happen on your machine, with no telemetry and no analytics. The app checks GitHub for updates, and pressing the Cloud switch sends one anonymous daily count, which Settings names.

What does "uncensored" mean? Abliterated models have the trained in refusal behaviour removed from the weights, so it is not a jailbreak that can be patched or break. They answer directly, without refusals. Full guide.

What hardware do I need? Chat runs a 3B model on 8 GB of system RAM with no GPU at all, and an 8B model comfortably on a 6 GB card. Image generation starts at 6 to 8 GB of VRAM, and so does video on AnimateDiff Lightning or FramePack F1; the Wan and Hunyuan models want 12 GB or more. The model manager marks what fits before you download.

Can it replace ChatGPT or Claude? For most chat, writing and coding, yes, with a good 8B to 14B local model, and it stays private and unlimited. Frontier cloud models are still stronger on the hardest reasoning. You can add them with your own API keys, or use the Cloud switch.

Does remote access leak data? No. It is off until you turn it on, gated by a passcode, and it lists the devices that are connected. On your LAN nothing leaves the network; away from home an encrypted Cloudflare tunnel joins phone and PC. No third party AI server is involved.

What about macOS? There is no macOS desktop build. Every release builds Windows and Linux only. On a Mac, use LU Cloud in the browser at lu-labs.ai, which runs chat, images and video on hosted GPUs.

Roadmap

Everything else listed here has shipped. See Releases for the history.

Tech stack

Tauri v2 with a Rust backend, React 19, TypeScript, Tailwind CSS 4, Vite 8, ComfyUI for images and video, faster-whisper for speech to text and Piper for speech.

Community

Discord: https://locallyuncensored.com/discord, with help channels for chat, images, video and the coding agent. Bugs and ideas: Issues and Discussions.

License

AGPL-3.0-only. See LICENSE.


Your data stays on your machine.

Website · Beginner guide · Blog · Report a bug · Request a feature

locally-uncensored (PurpleDoubleD/locally-uncensored)

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这是什么?这是一个面向桌面的本地一体化 AI 工作室,把聊天、图像和视频生成以及编程智能体打包进一个免费开源应用,支持 Windows 和 Linux。
这是一个应用,还是几个独立的工具?它是一个单桌面应用,Chat、Create、Code 和 Agent 是同一个窗口里的标签页,全部共享同一批已下载的模型。
怎么把它跑起来?从 Releases 下载 Windows 安装包(NSIS/MSI)或 Linux 的 AppImage/deb/rpm,像运行其他程序一样运行它;首次启动向导会自动检测或安装 AI 引擎和 ComfyUI,然后你选一个模型就能开始用了。
配置它需要 Docker 或终端吗?不需要,这个应用的设计就是要避开这两者——它自己管理 AI 引擎和 ComfyUI 的安装,不过也可以连接你已有的 Ollama 或 LM Studio 安装。
有原生 macOS 版本吗?没有,没有 macOS 桌面版本;Mac 用户会被引导到基于浏览器的 LU Cloud,另外 Windows 安装包目前未签名(代码签名审批还在进行中),可能触发杀毒软件误报。
我的数据会留在我的电脑上吗?会,聊天、图像/视频生成和编程智能体默认都在你自己的硬件上运行;只有当你为本地跑不动的大模型打开可选的 LU Labs Cloud 时,数据才会离开你的电脑。
图像和视频生成需要什么 GPU?入门级图像/视频模型在 6-8GB 显存的显卡上就能跑(例如 Juggernaut XL、AnimateDiff Lightning),而 Qwen-Image 2.1 之类的新模型需要 16-24GB 显存;模型管理器会标出哪些适合你的硬件。
这些聊天模型的“无审查”是怎么回事?该应用把经测试能直接回答、不做拒绝的模型和主流模型放在同一个选择器里;在 LU Labs Cloud 测试中,46 个受测聊天模型有 19 个拿到“无拒绝”标记,整体只有 5% 的回答被拒绝。
其他编程工具能用这些本地模型吗?能,设置里的本地 API 通过一个令牌把所有本地模型暴露在同一个 OpenAI 兼容地址上,外部编程工具因此可以复用同一台机器和同一批模型。
它和 Open WebUI 或 LM Studio 有什么不同?与那些应用不同,它加入了内置的图像和视频生成、图生视频、编程智能体以及支持工具/MCP 的智能体模式,而且不用 Docker 就能开箱即用。
可以在手机上用它吗?可以,你可以通过局域网或 Cloudflare 隧道,用二维码和配对码配对手机,远程使用聊天、创作、编程和智能体功能。
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