Stable Diffusion

To run Stable Diffusion locally, you typically need a dedicated GPU with at least 8GB of VRAM, such as an Nvidia RTX 3060 or better. Because it is an open-source model that processes directly on your hardware, more VRAM allows you to generate higher-resolution images and use complex custom models. Unlike cloud services, your generation speed depends entirely on your local graphics card.

Yes, Stability AI releases Stable Diffusion as an open-source model, meaning you can download the weights and generate images entirely for free, even for commercial projects. However, you must ensure you are not using copyrighted fine-tuned models (LoRAs) created by other users if you plan to sell the output. Running it locally avoids the subscription fees associated with closed systems like Midjourney.

Stable Diffusion boasts a vibrant community that creates custom checkpoints, textual inversions, and LoRAs that allow you to mimic specific art styles or characters. You can easily download these community-trained models from sites like Civitai and load them into your local UI, such as Automatic1111 or ComfyUI. This level of customizability is its biggest advantage over proprietary generators.

The base Stable Diffusion models come with a built-in safety checker that attempts to block the generation of explicit or violent imagery. However, because it is open-source, advanced users have the technical ability to disable this filter or download uncensored community-trained models. This grants creators unparalleled control over the creative process compared to heavily moderated platforms.