How to run uncensored AI locally for image and video
You can run uncensored AI locally for free on your own GPU, and ComfyUI is the tool I would start with in 2026. The real stack is a UI, a base model, and a few LoRAs - not a magic app with a big horny button. If you want control, privacy, and fewer platform tantrums, local is the route; if you want instant results, hosted still has a point.
Last checked Jul 8, 2026 · 11 min read · Independent, no affiliate links
What you need
Pick a UI - ComfyUI is the default
The UI is what actually runs the models; pick the right one and the rest gets less stupid.
The default choice, and the one worth learning, is ComfyUI: a modular node-graph UI that handles images, video, audio and 3D and runs on Nvidia, AMD, Intel, Apple Silicon or plain CPU.
The key point for ComfyUI NSFW work is simple: ComfyUI has no built-in NSFW ban. What you can make is decided by the model you load, your own local policy, and any APIs you connect, not by the app pretending to be your babysitter. That is where real permissiveness shows up in practice, not inside a hosted tool that changes the rules whenever payment processors start sweating.
ComfyUI is not the only local UI, but the tradeoffs are real.
- A1111 (AUTOMATIC1111) - simple and legacy, but the codebase is aging; mixed third-party licences.
- Forge - more modern and gets new models faster; AGPL-3.0.
- SD.Next - does both image and video; Apache-2.0.
- InvokeAI - editing-friendly and commercially-friendly OSS.
- Fooocus - the lowest-friction option, simplicity first; GPL-3.0.
Check your GPU
These are the honest VRAM floors as of July 2026, not the fantasy minimums people quote to win arguments.
| SDXL, comfortable | 12GB+ VRAM |
| SDXL on a smaller card | 8GB, slower |
| SD 3.5 Medium | Consumer GPUs |
| Simple configs | ~4GB+ |
| Local video (Wan T2V-1.3B) | ~8.19GB VRAM |
Those are practical floors, not marketing minimums - ComfyUI publishes its own system requirements. For stills, 12GB of VRAM is the comfortable floor for SDXL, 8GB works with more patience, and simple configs start around 4GB. SD 3.5 Medium runs on consumer GPUs. Video is a heavier class: Wan T2V-1.3B needs about 8.19GB of VRAM and turns out a 5-second 480p clip on an RTX 4090 in roughly 4 minutes. Treat all of this as of July 2026 - the floors keep dropping as models get lighter.
Grab a base model and a few LoRAs
The UI is empty until you feed it a model; this is where the look and the permissiveness actually come from.
Almost everything you download starts on Civitai model hubs, Civitai and its adult sister domain Civitai.red, where the community bases live: Pony, Illustrious, Juggernaut and NoobAI, plus thousands of LoRAs you stack on top of a base.
Nearly every base is a derivative of Stable Diffusion or FLUX, and our engine explainers cover what each one allows and where the licence bites.
- Pick one base - choose by the look you want: anime-leaning with Pony, Illustrious or NoobAI, or photoreal with Juggernaut.
- Stack a few LoRAs - small add-ons that lock in a character, a style or an act, layered on the base.
The size of this ecosystem is the whole point and also the reason it takes effort. There is no official adult mode hiding in the settings panel. There is only the model you choose to load.
Run your first workflow, then try video
With the UI and a model in place, the first render is close.
Load a default text-to-image workflow - ComfyUI ships with one - point it at your base checkpoint, add a LoRA or two, write a prompt, and render. Then fiddle with resolution, steps, CFG, and the sampler until the output stops looking cursed. That tuning is the actual skill in how to run Stable Diffusion NSFW, not clicking the installer and feeling clever.
The same node graph does moving pictures too: Wan T2V-1.3B renders a 5-second 480p clip on an RTX 4090 in about 4 minutes, and our local video walkthrough walks through the video nodes and the Wan-vs-Hunyuan tradeoffs step by step.
What it costs
The generation itself is free. You pay for your own GPU and the power it draws, or rent a cloud GPU by the hour - no subscription, no per-image fee.
Whether that beats a hosted plan depends on volume; if you would rather compare finished tools by real price, our side-by-side comparison does the per-image and per-clip math for you.
Is running uncensored AI locally legal?
Fictional adult art is broadly lawful in most places, and running it on your own machine does not magically change that. The line is not fiction versus porn. The line is consent, likeness rights, age, jurisdiction, and platform rules. This is not legal advice.
The dangerous case is never a fictional character. It is a real, recognisable person rendered without consent, which crosses NCII laws immediately. As of July 2026 the US TAKE IT DOWN Act has been in force since May 2025, the UK moved in February 2026 against non-consensual intimate deepfakes, and the EU AI Act's Article 50 labelling duties for AI-generated media start applying on 2 August 2026.
Local vs hosted: which should you pick?
✅ Run it locally if you…
- Want full control and privacy, with nothing leaving your machine
- Already own a 12GB+ GPU, or will rent one by the hour
- Are fine treating setup as a project, not a button
- Generate high volume, where per-image fees would add up
❌ Use a hosted studio if you…
- Want a result in one click, with zero install
- Are on a laptop or a small, shared GPU
- Want hardcore video now, without learning a node graph
- Would rather read a tested shortlist and just start