What it's used for

Stability AI is the creator of Stable Diffusion, the most widely used open-source image generation model family. Stable Diffusion powers a vast ecosystem of creative tools, custom fine-tunes, and production image generation workflows.

Key use cases include:

Text-to-image generation for marketing, advertising, and social media content
Image-to-image transformation, inpainting, and outpainting
Image upscaling and enhancement with Stable Diffusion Upscaler
Custom model fine-tuning with LoRA adapters for brand-specific styles
Game asset and concept art generation
Product mockup and design prototyping

Stability AI models are used by creative professionals, game studios, e-commerce companies, and developers building image generation into their products. The open-source nature enables complete customization — thousands of community fine-tunes and LoRAs are available on CivitAI and Hugging Face.

The latest Stable Diffusion 3.5 and SDXL models offer dramatically improved quality, prompt adherence, and text rendering compared to earlier versions.

Getting started

For the hosted API, create an account at platform.stability.ai and purchase credits.

For self-hosting (most popular), install the diffusers library:

pip install diffusers transformers torch accelerate

from diffusers import StableDiffusionXLPipeline
import torch
pipe = StableDiffusionXLPipeline.from_pretrained(
    'stabilityai/stable-diffusion-xl-base-1.0',
    torch_dtype=torch.float16
).to('cuda')
image = pipe('A sunset over mountains').images[0]

Or use GUI tools like ComfyUI or Automatic1111 for a visual workflow.

Pricing: Self-hosting is free (model weights available on Hugging Face). API credits start at ~$10 for 1,000 generations. Requires a GPU with at least 8GB VRAM for local generation (16GB+ recommended for SDXL).