How to Run Stable Diffusion Locally (NSFW)
Stable Diffusion WebUI Forge is the easiest “first PC install” for most beginners: clone the repo, run webui-user.bat, wait for dependencies, then drop .safetensors files into the right folders. GPU: NVIDIA + current drivers is the path with the most tutorials. NSFW: nothing is “unlocked by magic” — you’re downloading community weights and running them locally, so keep it legal and age-appropriate.
The Models
1. 1) Prerequisites
Top PickDo drivers + PATH first — it prevents spooky errors later.
Architecture: Windows + NVIDIA + Python 3.10 + Git · VRAM: GPU-dependent · Best for: Smooth tutorial path before you touch models
View on CivitAI →2. 2) Install Forge
Clone repo → run webui batch → wait for first-run downloads.
Architecture: WebUI fork · VRAM: 6–12 GB+ typical (depends on model and res) · Best for: First local install with a normal UI
View on CivitAI →3. 3) Model folders
Wrong folder = invisible model — follow Civitai’s file guide.
Architecture: Filesystem layout · VRAM: N/A · Best for: Checkpoints vs LoRA vs VAE hygiene
View on CivitAI →4. 4) First generation
Start conservative — prove stability, then expand.
Architecture: SD 1.5 / SDXL / Flux-class (later) · VRAM: Resolution × model size · Best for: Smoke test before NSFW downloads
View on CivitAI →Why This Matters
SD means Stable Diffusion. VRAM is your GPU’s fast memory — it’s the usual bottleneck for image size and model size. CUDA is NVIDIA’s GPU compute stack; most beginner guides assume an NVIDIA card because the install path is smoothest. This page walks you from zero to a first local image, with adult-capable workflows in mind — you’re responsible for lawful use.
The Steps
1. Prerequisites (do this before you “install SD”)
Check you’re on Windows 10/11, 64-bit, with an NVIDIA GPU for the standard path.
| Architecture | VRAM | Best For |
|---|---|---|
| PC + NVIDIA GPU | 6 GB+ (tight) to 12 GB+ (more comfortable) | Following WebUI tutorials |
Install Python 3.10.x (add to PATH), Git for Windows, and the latest NVIDIA driver from NVIDIA’s site. Put the WebUI on an SSD if you can — model loads hurt on a slow disk.
2. Download Forge (WebUI)
Clone Stable Diffusion WebUI Forge — it’s the beginner-friendly WebUI we recommend.
| Architecture | VRAM | Best For | |---|---|--/| | Gradio WebUI | Same as your GPU | txt2img + extensions |
Open a terminal in the folder where you want the project, then clone the repo from GitHub (lllyasviel/stable-diffusion-webui-forge). Run webui-user.bat. First launch can take 20–30+ minutes while it downloads dependencies — that’s normal.
3. Put models in the right folders
Think “checkpoint = base brain,” LoRA = small add-on.
| File type | Where it goes (Forge/A1111-style layout) |
|---|---|
.safetensors checkpoints |
models/Stable-diffusion |
| LoRA | models/Lora |
| VAE (optional) | models/VAE |
| Textual inversion | embeddings |
After copying files, refresh the checkpoint list in the UI (or restart). CivitAI’s community article “Where do I put the files?” is the classic reference if you forget.
4. Make your first image (SFW test first)
Prove the pipeline works before you chase exotic models.
| Checkpoint | VRAM | Best For |
|---|---|---|
| Any common SD 1.5 or SDXL base you can hold | Match file to VRAM | Smoke test |
Pick a checkpoint in the UI, set resolution modestly (especially on 8 GB), then generate. If you OOM (out of memory), reduce resolution or enable --medvram / --lowvram in your launch args (trade: speed).
If you want a local-first bundle without assembling Python, Git, and CUDA by hand, LocalForge AI is built to cut setup friction — you still pick models and stay in control.
5. Troubleshooting (the boring stuff that fixes 80%)
VRAM errors are usually not “broken AI” — they’re a math problem.
- OOM: lower resolution, close other GPU apps, try
--medvramor--lowvram(A1111 wiki explains the tradeoffs). - Slow generation: expect that on small GPUs — seconds-per-image is not universal.
- Wrong folder: 90% of “it doesn’t show up” is the file path.
Quick Comparison
| Path | What it is | Good for |
|---|---|---|
| Forge | WebUI fork | Beginners + extensions |
| ComfyUI portable | Node UI + batch files | You want workflows later |
| Cloud-only | Not local | Privacy tradeoff |
What to Do Next
- Want the cluster overview? Local NSFW Setup Guide — ranks stacks and VRAM bands.
- Flux? Flux Uncensored Local — quant formats and honest VRAM floors.
- Phone? SD on Android (NSFW) — what actually runs on-device.
Verdict
Install Forge, place models in the standard folders, and prove a small image before you download 20 checkpoints. If you’re stuck on environment setup, LocalForge AI is the “less time wrestling installs” lane — still local, still your responsibility.