Open-weight image generation models that run on your own hardware
Stable Diffusion is a family of open-weight latent diffusion models for image generation, originally released by Stability AI with academic partners. The weights can be downloaded and run locally, which is the fundamental difference from hosted services: no per-image fee, no content policy enforced by a vendor, and full control over fine-tuning. Users typically run them through community interfaces, train LoRA or DreamBooth adaptations on their own images, and share checkpoints and embeddings. Licence terms have varied between model versions and change over time.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
local image generation, custom model fine-tuning, offline work, experimental pipelines
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The model weights can be downloaded without a fee, so you pay nothing per image. The real costs are the hardware to run them, or cloud GPU time if you rent one. Licence terms vary between model versions and deserve a check before commercial use.
Practically, yes. Generation runs on your own GPU, and comfortable use wants a recent graphics card with a reasonable amount of video memory. Machines without one can use CPU inference, which is dramatically slower, or rent cloud capacity.
Stable Diffusion refers to the models themselves, which you can drive through many interfaces. SD WebUI is one popular community interface built on top of them, so the two are related but not the same thing: models are the engine, interfaces are the dashboard.
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