The verdict
Stable Diffusion is the open-source backbone of half the AI image ecosystem — the depth of what's possible with it is real, but it's not what most users mean by "easy." The current Stable Diffusion 3.5 line (Large for quality, Turbo for speed, Medium for consumer GPUs) and the still-everywhere SDXL are free to download and run locally: unlimited generations, full privacy, deep customization via LoRAs and ControlNet, and the largest community model library in the category across Civitai and Hugging Face. In practice the ecosystem has consolidated around ComfyUI — it's where new model architectures land first — with the classic Automatic1111 webui and its faster successor Forge (both on GitHub) serving the web-UI crowd, and the Stability AI API covering hosted, programmatic use. Stability also ships Stable Video Diffusion for image-to-video, though it's a research model — for production video generation, Kling is the stronger pick. The cost is real friction: install and setup are more involved than turnkey alternatives, serious local use needs a capable GPU, and different forks behave differently. For users who'll invest the setup time, there's no comparable depth. If you want Stable Diffusion-style output without the download and GPU, a hosted generator is the honest answer — Kirkify (our pick, multiple models behind one click) or Waifu2x for anime-style work — and if you just want to type a prompt and get a beautiful image, Midjourney remains the turnkey benchmark. The honest framing: Stable Diffusion is a platform, not a product.