Stable Diffusion is an AI model that turns text into images. It creates realistic images from any text description. The advanced version, Stable Diffusion XL, has a bigger network for even better image quality. You can try it at Diffus with 50,000 user uploaded models.

Stable Diffusion stands out for its ability to produce detailed images tailored to specific text descriptions. It’s versatile, allowing for image editing through inpainting and outpainting to adjust or expand pictures. And its style is deeply customizable and users could have much better control over the output results.

Stable Diffusion 1.5 was trained on the English language portion of the LAION 5b dataset, which is a broad collection of internet images and their descriptions. SDXL and Stable Diffusion 3 uses additional dataset to produce higher resolution images.

Stable Diffusion compresses images into a simpler form, adds noise to distort them, and then learns to reconstruct the original image from this noisy version.

For the best results, use clear, detailed descriptions, and include specific adjectives to guide the image’s appearance, like “orange” and “purple” for a sunset.

SDXL Turbo is an upgrade of SDXL 1.0, featuring a faster, single-step image generation process using a new technique called Adversarial Diffusion Distillation (ADD).