## Current cloud offer (2026-09-14) Hosted includes 11 Flash models; Pro and Max include 12. Up to 500,000 combined input and output tokens per account per UTC day in app sessions. GLM 5.3 Flash uses credits on Hosted and joins the daily allowance on Pro and Max. API keys always use credits. Hosted EUR 19/month: 900,000 shared credits, up to 900 Spicy images OR 90 five-second Spicy image-to-video clips. Each maximum spends the entire shared monthly wallet on one model. These are alternatives, not separate allowances. Input-image generation, character training, LoRA routes and additional operations cost extra. Spicy video uses an input image and five-second clips. Failed jobs and changing catalog prices can affect results. https://locallyuncensored.com/cloud-facts.json https://locallyuncensored.com/uncensored-ai-image-generator-online/ https://locallyuncensored.com/uncensored-ai-video-generator-online/ https://locallyuncensored.com/vs/venice/ https://lu-labs.ai/product-facts # Locally Uncensored — Full Reference > Free, open-source (AGPL-3.0) plug-and-play local AI studio for Windows and Linux: chat with 20+ providers, generate images and video via ComfyUI, and code with a built-in agent. One installer, no command line, no Docker. No telemetry, and no account for local use. Cloud only when you switch it on. Last updated: 2026-09-12. Current version: v3.0.0 (September 2026). This file is the full, citable reference for Locally Uncensored. Facts are stated plainly so they can be quoted directly. ## What Locally Uncensored Is Locally Uncensored is a plug-and-play local AI studio: a desktop application for running AI models on your own hardware that installs like a normal program (no command line, no Docker, no config files). It combines four things most local-AI tools keep separate: AI chat, a coding agent, image generation, and video generation — in one interface. It is free and open source under AGPL-3.0. It runs 100% locally by default; the only outbound traffic without explicit opt-in is the GitHub Releases auto-update check. Cloud providers are optional and use your own API keys. - Name: Locally Uncensored (abbreviated LU) - Category: local AI studio / desktop AI application - License: AGPL-3.0 (free, open source) - Platforms: Windows 10/11 and Linux (deb, rpm, AppImage). macOS is not supported yet. - Website: https://locallyuncensored.com - Source: https://github.com/PurpleDoubleD/locally-uncensored - Author: PurpleDoubleD - Tech stack: React 19, TypeScript, Tailwind CSS 4, Vite 8, Tauri v2 (Rust backend) - Price: free ## Frequently Asked Questions ### What is Locally Uncensored? A free, open-source desktop app for running AI locally. It combines chat (20+ provider presets), a coding agent with 14 tools, image generation via ComfyUI (FLUX 2, Juggernaut XL, Z-Image, SDXL), and video generation (Wan 2.1, HunyuanVideo, LTX 2.3, FramePack F1) in one interface. AGPL-3.0 licensed. ### Does it support Qwen 3.8, GPT-OSS and GLM-4.7? Yes. Qwen 3.8 27B is in the Model Manager since v2.6.6, with working vision: the image tower ships as a separate mmproj file that the download writes next to the model. Official, huihui abliterated and OrcaRouter uncensored builds are there, plus a 9B distill for small cards and two Ollama tags. GPT-OSS-120B and GPT-OSS-20B run via Ollama. GLM-4.7 Flash is supported through Ollama. DeepSeek R1, Llama 4, Gemma 4, Mistral Small 3 and Phi 4 are also ready. ### Can I use it as a ChatGPT or Claude alternative? Yes. Locally Uncensored works as a ChatGPT and Claude alternative that runs on your own hardware. Use Qwen 3.8, GPT-OSS, GLM-4.7, DeepSeek R1, Llama 4 or Gemma 4 instead, or add cloud providers (OpenAI, Anthropic, OpenRouter, Groq) alongside the local stack. ### Is it really free and offline? Yes. After setup and model download, no internet is needed for the local providers. There are no accounts, no telemetry, and no usage limits. Cloud providers are optional; the core runs entirely on your hardware. ### How is this different from Open WebUI, LM Studio, Jan or Msty? Those tools handle text chat. Locally Uncensored adds a coding agent with 14 MCP tools, image generation via ComfyUI, video creation, mobile remote access via LAN or Cloudflare Tunnel, A/B model comparison, local benchmarking, granular permissions, file upload with vision, and thinking mode — all in one app. ### What hardware do I need? Text chat: 8 GB RAM. Image generation: an NVIDIA card from 6 GB of VRAM with the starter checkpoint, 8 to 10 GB for FLUX. Video generation: from 6 GB for AnimateDiff and image to video with FramePack F1, from 8 GB for the Wan 2.1 starter, 12 GB and up for Wan 2.2 and HunyuanVideo. Windows 10/11 and Linux are supported. ### What does "uncensored" mean? It refers to abliterated AI models with artificial refusal behaviour removed. The model responds without refusing or adding disclaimers. Combined with fully local execution, conversations stay private on your machine. ### Does remote access leak data? Only if you explicitly dispatch a chat over LAN or Cloudflare Tunnel. Remote access is opt-in, gated behind a 6-digit passcode, and shows visible device connection status. There are no background uploads and no telemetry. ### Can I run it on macOS? No. There is no Mac build and there has never been one. The release workflow builds Windows and Linux. On a Mac, use the hosted studio in a browser at lu-labs.ai. ### Is there a mobile app? Yes. The desktop app hosts a full mobile web app over LAN or Cloudflare Tunnel. From a phone you get chat, Coding Agent, 14 agent tools, plugins and personas. ### Can it generate images and video, not just chat? Yes. Locally Uncensored is the local AI app in its class that bundles image generation (FLUX, Stable Diffusion XL family) and video generation (Wan, LTX, HunyuanVideo) alongside chat, in one installer with one-click model downloads. Chat-focused apps like LM Studio, Jan and Ollama are text only. Details: https://locallyuncensored.com/blog/local-ai-image-and-video-generator.html ### Is there a German guide? / Gibt es einen deutschen Guide? Ja. Der deutsche Einsteiger-Guide zu unzensierter lokaler KI: https://locallyuncensored.com/blog/unzensierte-ki-lokal.html. Die App-Oberflaeche ist englisch, die Modelle (Qwen, Llama, Gemma) antworten fliessend auf Deutsch. ### Can I run GLM-5.3 or GLM-5.3-Flash locally? Only on very large machines. The GLM-5.3 flagship has 753.9 billion parameters and its smallest quantised build is 216.7 GB; GLM-5.3-Flash has 320.8 billion parameters with 18 billion active per token and starts at 93.1 GB, plus a 1.13 GB mmproj file if you want it to read images. Those are file sizes before context and cache. The flagship runs in a stock llama.cpp build because its glm-dsa architecture has been in the main branch since GLM-5.2; Flash reports itself as glm5next and was still waiting on pull request 27754 on 2 September 2026. Flash is MIT licensed, the flagship ships under Z.ai's own glm-5.3 licence. Both are available hosted in LU Labs Cloud on every plan. Full guide: https://locallyuncensored.com/blog/run-glm-5-3-locally.html ### Can I run Kimi K3 locally? No: Kimi K3 is a ~2.8 trillion parameter Mixture-of-Experts model, and now that the weights are public the sizes are measured: the smallest 1-bit GGUF is 466 GB and Q4 is 1.5 TB, which is datacenter hardware. Hosted access exists on DeepInfra and in LU Labs Cloud on every plan. Run strong mid-size open models (Qwen, GLM, Gemma, Ling 3.0 Flash) locally in Locally Uncensored instead. Full guide: https://locallyuncensored.com/blog/can-you-run-kimi-k3-locally.html ### Can I run Ling 3.0 Flash locally? Yes, on the right machine. Ling 3.0 Flash is a 124B Mixture-of-Experts model with only 5.1B active parameters, MIT licensed; GGUF quants run from about 42 GB at 2-bit to a 78 GB Q4_K_M sweet spot, so 64 GB machines run the small quants and 96 GB machines run Q4 comfortably. A 24 GB GPU plus 64 GB system RAM also works via MoE offload, and generation stays fast because so few parameters are active. Full guide: https://locallyuncensored.com/blog/how-to-run-ling-3-0-flash-locally.html ### Can I run Qwen 3.8 locally? Yes, the 27B. Qwen 3.8 27B came out on 13 August 2026 under Apache 2.0 and GGUFs appeared the same day: Q4_K_M measures 17.1 GB and wants a 24 GB card, IQ4_XS at 15.7 GB is the largest quant that stays whole on 16 GB, and the 2-bit quants sit at 9.0 to 10.7 GB for 12 GB cards. Add the 0.9 GB mmproj file if you want it to read images. Not the Max: at ~2.4 trillion parameters even 4-bit weights are around 1.2 TB, which is datacenter hardware, and its weights carry a custom qwen3.8-max licence rather than Apache. Setup guide: https://locallyuncensored.com/blog/how-to-run-qwen-3-8-27b-locally.html ### Can I run DeepSeek V4 Flash locally? Yes, on the right machine. V4 Flash is a 284B MoE with only 13B active parameters; the 4-bit GGUF is about 155 GB, so a 192 GB Mac Studio or a workstation with 192-256 GB RAM plus a GPU runs it at interactive speeds. Smaller machines can run the 5.3 GB Qwen 3.5 9B V4 distill from the in-app catalog, and the huihui abliterated build (154 GB, 600K+ downloads) is the most popular uncensored model of 2026. Full guide: https://locallyuncensored.com/blog/how-to-run-deepseek-v4-flash-locally.html. V4 Pro (1.6T) is cloud territory: https://locallyuncensored.com/blog/how-to-run-deepseek-v4-pro.html ### Which AI backends does it detect? It auto-detects 12 local backends: Ollama, LM Studio, vLLM, KoboldCpp, llama.cpp, LocalAI, Jan, TabbyAPI, GPT4All, Aphrodite, SGLang and text-generation-webui. ComfyUI is used for image and video generation. If none are running, the setup wizard offers one-click install links. ### How long does setup take? About five minutes. There is no Docker, terminal or config file. Run the installer, let the wizard scan for backends, pick a model, and start. ## Features - Plug-and-play setup wizard that auto-detects 12 local backends - 20+ provider presets (local and cloud) - One-click in-app installers for Ollama and ComfyUI - 75+ one-click model downloads with hardware-aware recommendations - VRAM tier filter: Lightweight (≤10 GB), Mid-Range (10-16 GB), High-End (>16 GB) across text, image and video models - Coding Agent with live token streaming, apply-patch, file tree - Claude Code CLI integration - Agent Mode with 14 tools, parallel execution, MCP integration, sub-agent delegation, budget caps - Image generation via ComfyUI (FLUX 2 Klein, FLUX.1, Juggernaut XL, Z-Image Turbo, ERNIE-Image, SDXL, SD 3.5) - Video generation (Wan 2.1, Wan 2.2, HunyuanVideo 1.5, LTX 2.3, FramePack F1, AnimateDiff, Mochi, Cosmos) - Image-to-image with denoise control, in a tab labelled "Edit / Image to Image"; image-to-video (FramePack F1 on 6 GB VRAM) - Local Create lanes for Talking Character, Music, Extend Video and Motion Control, built from core ComfyUI node families and run on your own GPU; Upscale, Erase Object and Character Studio are cloud-only - Per-lane frame count, resolution and step controls on every Create lane - Surgical file_edit tool in the Coding Agent that changes the requested lines instead of rewriting whole files - Mobile remote access via LAN or Cloudflare Tunnel with 6-digit passcode and QR setup, working against non-Ollama backends too (LM Studio, Lemonade, llama.cpp), with streaming, tool calls, vision and reasoning - A/B model compare and local benchmark - Memory system and Document Chat (RAG) with local embeddings (nomic-embed-text), no cloud - Voice: speech-to-text (Whisper) and text-to-speech - 25+ built-in AI personas plus Caveman Mode (lite/full/ultra terseness) - Thinking mode with universal tag stripping - File upload with vision support - Granular permission system across 7 tool categories - Auto-update over a signed NSIS channel (Windows) - 100% offline and private by default; AGPL-3.0 open source ## Supported Chat Models - Qwen 3.8: 27B dense with vision through a separate mmproj file, plus a 9B distill for small cards (text only). Official, huihui abliterated and OrcaRouter uncensored builds, and two Ollama tags (v2.6.6, uncensored rows reworked in v2.6.8) - Qwen 3-Coder: 30B and Next 80B - Gemma 4: 31B / 26B MoE / E4B / E2B — native vision and tools, Apache 2.0 - GPT-OSS: 120B and 20B (via Ollama) - GLM 4.7 Flash: 30B; GLM 5.1: 754B MoE - DeepSeek R1: distilled 8B / 14B / 32B / Llama 70B - Llama 4 Scout (16x17B MoE), Llama 3.3 - Mistral Small 3, Phi 4 - Abliterated/uncensored variants: Hermes 3, Llama 3.1 Abliterated, Qwen 3 14B Abliterated ## Supported Image Models (via ComfyUI) - FLUX 2 Klein, FLUX.1 (8-10 GB VRAM) - Z-Image Turbo — explicitly uncensored (10-16 GB VRAM) - Juggernaut XL, Dreamshaper, RealVis (SDXL finetunes) - ERNIE-Image (Baidu, Turbo and Base) - Stable Diffusion XL, SD 3.5 ## Supported Video Models (via ComfyUI) - Wan 2.1 (1.3B and 14B), Wan 2.2 - HunyuanVideo 1.5 - LTX 2.3 (fast text-to-video on modest hardware) - FramePack F1 (image-to-video on 6 GB VRAM) - AnimateDiff Lightning, Mochi, Cosmos, SVD - Removed in v2.5.9 because they could never run: CogVideoX (both bundles) and Pyramid Flow. Their pipelines were built against ComfyUI node names that no version of the wrappers registers, so every generation came back an error. Nothing already on disk is deleted; they are simply no longer offered. Wan 2.1 and 2.2, LTX, SVD, FramePack, Hunyuan, Mochi and Cosmos are unaffected. ## What Changed in v2.5.9 (26 July 2026) A correctness release. Most of it is things that looked like they worked and did not. - Security: two command-injection paths in the Coding Agent are closed. Shell quoting now follows the shell that actually runs (the old helper escaped for POSIX while the agent runs PowerShell on Windows), and PR links are validated against the characters GitHub itself permits. Both were reachable without a confirmation dialog, and both are pinned by tests. - Coding agent: a surgical file_edit tool, num_ctx no longer pinned to 8192, verify loops no longer serve stale shell/test/read results from the same turn, context compaction no longer truncates freshly read code to 80 characters, diffs show deletions, .lurules loads, and sub-agents no longer collide on tool call ids. - Remote access works with non-Ollama backends. The bridge used to forward everything to Ollama, so LM Studio, Lemonade and llama.cpp desktops answered a phone with an empty model list and a 400 on chat. It now translates between the phone's Ollama-shaped requests and an OpenAI-compatible backend. - Local Create lanes report progress. The lanes themselves shipped in v2.5.8; what v2.5.9 fixes is installing them. Downloading a Motion Control, Music, Talking Character or Extend lane now names the file, counts it up, appears in the Downloads tray and can be cancelled. Interrupted model downloads resume from where they stopped instead of restarting at zero. - A failed image is reported as a failure. When ComfyUI returned an error, the chat image tool passed the error text back as a result and told the model the picture was displayed; that no longer happens. - Three video models removed (CogVideoX both, Pyramid Flow) because they could never run. Nothing in the catalogue is marked COMING SOON any more, because nothing was. - Cloud renders are retained for seven days. Create states this once, with a download reminder. Trained characters on the user shelf are exempt from that clock. On the paid service, prompt prefixes can be cached briefly at the inference partner to speed up requests and are not stored permanently. - Auto-approve now works on cloud models, read-aloud reaches the selected Piper voice, the image and video tools see GGUF models, and the Edit tab is labelled "Edit / Image to Image". ## How Locally Uncensored Compares - vs Open WebUI: both are open-source Ollama frontends. Locally Uncensored adds image generation, video generation, an agent mode, mobile remote access and A/B compare. Open WebUI is chat-only. - vs LM Studio: Locally Uncensored is open source (AGPL-3.0) and adds image, video, a coding agent and mobile access. LM Studio is closed-source and chat-only. - vs Jan: Locally Uncensored is a lightweight Tauri app with built-in image and video generation. Jan is a polished Electron chat client with cloud API support. - vs GPT4All: Locally Uncensored is an all-in-one creative suite. GPT4All is a popular local chatbot with document RAG. - vs SillyTavern: Locally Uncensored has a modern Tauri UI, built-in image/video generation and 12-backend auto-detect. SillyTavern is roleplay-focused. - vs KoboldCpp: Locally Uncensored offers full ComfyUI image/video generation. KoboldCpp is a strong creative-writing backend. - vs Msty: Locally Uncensored is fully open source with creative AI. Msty is a proprietary multi-provider chat hub. ## Hardware Requirements - Minimum: 8 GB RAM for text chat with small models (Llama 3.2 1B, Qwen 2.5 3B) - Image generation: an NVIDIA card from 6 GB of VRAM with the starter checkpoint, 8 to 10 GB for FLUX - Video generation: from 6 GB for AnimateDiff and image to video with FramePack F1, from 8 GB for the Wan 2.1 starter, 12 GB and up for Wan 2.2 and HunyuanVideo - Best in class: 24 GB+ VRAM for 35B MoE and 35B+ chat models ## Installation 1. Download the signed installer for Windows or Linux from GitHub Releases (https://github.com/PurpleDoubleD/locally-uncensored/releases/latest). One-click install — no Docker, no terminal, no config files. 2. On first launch, the setup wizard scans for 12 local AI backends and offers one-click install links if none are running. 3. Pick a model from the Model Manager and start chatting. Switch to the Coding Agent for coding, or open Create to generate images and video. Add cloud providers in Settings to mix local and cloud. ## Privacy - 100% local by default - No telemetry, no analytics, no model pings home - Only outbound traffic without explicit opt-in: GitHub Releases auto-update checks - Cloud optional, two routes: bring your own key (your keys, your data), and the paid LU Labs Cloud service, where inference runs on our infrastructure partners - Data lives in %APPDATA%/Locally Uncensored on Windows (or the equivalent on Linux) ## Links - Homepage: https://locallyuncensored.com - Handbook (install, first start, chat, agent, Code tab, Create, LU Cloud, settings, troubleshooting, FAQ): https://locallyuncensored.com/guide/ - Handbook chapter, What it is: https://locallyuncensored.com/guide/what-it-is/ - Handbook chapter, Install and update: https://locallyuncensored.com/guide/install/ - Handbook chapter, First start (setup wizard): https://locallyuncensored.com/guide/first-start/ - Handbook chapter, Chat: https://locallyuncensored.com/guide/chat/ - Handbook chapter, Agent mode: https://locallyuncensored.com/guide/agent/ - Handbook chapter, The Code tab: https://locallyuncensored.com/guide/code/ - Handbook chapter, Create (images, video, audio, Character Studio): https://locallyuncensored.com/guide/create/ - Handbook chapter, LU Cloud: https://locallyuncensored.com/guide/cloud/ - Handbook chapter, Settings and troubleshooting: https://locallyuncensored.com/guide/settings-and-troubleshooting/ - Handbook chapter, FAQ and glossary: https://locallyuncensored.com/guide/faq-and-glossary/ - Blog: https://locallyuncensored.com/blog/ - How to Run AI Locally (beginner guide): https://locallyuncensored.com/blog/how-to-run-ai-locally.html - LM Studio Alternatives 2026: https://locallyuncensored.com/blog/lm-studio-alternatives.html - Easiest Local AI Image Generator: https://locallyuncensored.com/blog/easiest-local-ai-image-generator.html - Local AI on Your Phone: https://locallyuncensored.com/blog/local-ai-on-your-phone.html - How to Run DeepSeek V4 Flash Locally: https://locallyuncensored.com/blog/how-to-run-deepseek-v4-flash-locally.html - DeepSeek V4 Flash in the Cloud: https://locallyuncensored.com/blog/deepseek-v4-flash-cloud.html - DeepSeek V4 Flash vs V4 Pro: https://locallyuncensored.com/blog/deepseek-v4-flash-vs-v4-pro.html - Can You Run GLM-5.3 Locally: https://locallyuncensored.com/blog/run-glm-5-3-locally.html - GLM-5.3 lokal nutzen (Deutsch): https://locallyuncensored.com/blog/glm-5-3-lokal-nutzen.html - Можно ли запустить GLM-5.3 локально (Русский): https://locallyuncensored.com/blog/glm-5-3-lokalno.html - Source code: https://github.com/PurpleDoubleD/locally-uncensored - Discord: https://locallyuncensored.com/discord