Stable Diffusion WebUI: A 3-Year User’s Retrospective — Why It’s Still the Go-To for AI Art

When I first touched AI image generation in 2023, Midjourney still required queuing on Discord, and DALL-E 2’s quality was mediocre at best. A friend recommended Stable Diffusion, saying it ran locally for free unlimited generations. I followed a tutorial and installed AUTOMATIC1111’s WebUI — probably around 30-40k stars back then. Three years later, it’s at 162k stars, and I’ve gone from a newbie copying prompts to a half-decent user who can train his own LoRAs.

Today I’m not writing a beginner’s guide. I want to talk about why, in 2026, I’m still using it.

Ecosystem is the moat

SD WebUI’s biggest advantage was never any single feature — it’s the ecosystem. Civitai hosts hundreds of thousands of models, LoRAs, and ControlNet preprocessors, almost all built around the SD ecosystem. Whether you want anime, realistic portraits, architectural renders, or product visualization, there’s a specialized model and workflow for it.

ControlNet is genuinely magical. Upload a pose reference image and have the AI redraw in that pose. Upload a line art sketch and have it colorized. Upload a depth map and preserve scene structure while changing style. These levels of precise control are still unmatched by MJ and DALL-E.

The extension system is bottomless. From prompt completion and quality enhancement to video generation, the community has written hundreds of extensions. My staples include:

• adetailer: Auto-fixes broken faces and hands
• controlnet: Pose/line art/depth control
• region-prompter: Zone-based prompts — person on the left, landscape on the right
• animatediff: Image-to-video generation

The 2026 experience

Hardware requirements have actually dropped. Back then I needed 8GB VRAM just for SD 1.5. Now SDXL runs on 6GB, thanks to various optimization techniques (fp8, tile VAE, CPU offload). My RTX 3060 12GB generates SDXL 512x512 images in about 5 seconds. Totally acceptable.

SDXL + Lightning is my daily driver. Image quality is leagues better than early SD 1.5, and generation speed is fast too. Paired with a refiner for two-step generation, detail richness approaches about 80% of MJ v6 — completely free.

Flux support has been added. While WebUI’s Flux support isn’t as native as ComfyUI’s, basic functionality works. I occasionally use Flux for realistic portraits. The results are indeed more natural than SDXL.

SD vs Midjourney vs DALL-E

Honestly, I use all three now, but for completely different scenarios:

• Midjourney: Concept art for clients, visual exploration. Simple prompts, great aesthetic sense, but almost zero control precision.
• DALL-E 3: Quick sketches alongside ChatGPT. Best natural language understanding, but a single, rigid art style.
• SD WebUI: When precise control is needed — specific poses, face swapping, character consistency, training your own style models. And — when you don’t want to pay.

If you only dabble in AI art occasionally, MJ or DALL-E are more hassle-free. But if you want to go deep, or need to integrate AI art into your actual workflow, SD WebUI is mandatory foundational knowledge.

The complaints

Learning curve is still steep. Newcomers facing rows of parameters (CFG Scale, Steps, Sampler, Denoising strength) are completely lost. I’ve introduced three friends to it. Two gave up.

Dated interface design. While feature-complete, WebUI’s UI does feel a bit old. ComfyUI’s node-based workflows are more intuitive for complex projects. These days I switch to ComfyUI for complex work, but stick with WebUI for quick generations.

AGPL license. Commercial use requires care — derivative works must also be open-source. Not great for companies wanting to build closed-source products on top of it.

Bottom line

Three years in, countless new tools have emerged in AI image generation, but AUTOMATIC1111’s WebUI remains the most balanced choice: free, controllable, and with a massive ecosystem. Those 162k stars aren’t luck — it solves real problems at scale.

My advice: if you haven’t touched Stable Diffusion yet, 2026 is still a great time to start. Hardware barriers are lower, model quality is higher, and tutorials are everywhere. Install it, generate a few images, and let curiosity take over.

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About the Author

Liudingyu is a full-stack developer and heavy GitHub user. With 900+ starred repos over the past 3 years, this site only covers tools I’ve actually used or deeply researched.

📧 Found a great tool to recommend? Email [email protected]