Stable Diffusion
Open-source text-to-image you can self-host for zero subscription and max control.
Official: https://stability.aiWhat it does
- Text-to-image: open latent-diffusion model; prompt in and generate, fully on your own GPU.
- Local run: after ComfyUI / Automatic1111, free images with no per-image billing and no cloud content limits.
- Fine control: ControlNet locks pose / depth / edges, LoRA injects a style or character, img2img for image-to-image.
- Local editing: inpainting (fill) and outpainting (extend) for partial edits and outward extension.
- Rich ecosystem: tens of thousands of community fine-tunes on Civitai and Hugging Face.
Who it's for
People willing to tinker and fully control the pipeline: developers, designers, and teams needing on-prem data or high-volume output to cut cost.
Pros & cons
Pros
- Open-source and free; no per-image fees or subscription after local run
- All data stays local — privacy-friendly for sensitive assets
- ControlNet / LoRA control far exceeds most cloud products
- Huge community model library
Watch-outs
- First-time setup has a learning curve (ComfyUI + model management takes hours)
- Needs a discrete GPU (SD3.5 suggests 8GB+ VRAM); Apple Silicon runs but slower
- Direct quality still slightly below top cloud; needs tuning
- Official model cadence is at vendor mercy; quality varies by community
Pricing
Models are open-source and free to run locally; Stability AI also has a paid API / DreamStudio billed by usage — see Stability AI's live notes.
Visit the official site →