Stable Diffusion — Unlimited Generation on Your Own Machine

There are two common interfaces. AUTOMATIC1111 is better known and offers a classic form interface; it is easier for a beginner to grasp. ComfyUI is node-based, harder to learn, but it makes complex workflows repeatable and has become the professional standard.

The realistic hardware expectation: a GPU with 8 GB of VRAM runs basic generation. 12 GB or more makes larger models and higher resolutions comfortable. It works on Apple Silicon Macs but is noticeably slower than an NVIDIA card in the same class.

If you have no GPU the door is not closed: services like Replicate run the same models in the cloud for a per-generation fee. That loses the free advantage but keeps the control advantage.

What separates Stable Diffusion is not image quality but control. ControlNet binds generation to the skeleton of a reference image: it takes a person's pose, a room's depth map or a drawing's edges and fits the new image onto that structure. If you need the same product from exactly the same angle against ten different backgrounds, this is the only method that does it.

LoRA is the cheap way to teach the model something new. With fifteen or twenty photos you can teach it your own face, your product or your brand's illustration style, then invoke that subject in any prompt. This is the real solution to the consistency problem in corporate image production.

These two features are what justify the steep learning curve. If you only want a beautiful image, Midjourney gives you a better one with less effort. If you need to produce a specific image in a specific way repeatedly, Stable Diffusion has no substitute.