This is the best summary I could come up with:
Stability says that its Stable Diffusion 3 family of models (which takes text descriptions called "prompts" and turns them into matching images) range in size from 800 million to 8 billion parameters.
The size range accommodates allowing different versions of the model to run locally on a variety of devices—from smartphones to servers.
Stability has made a name for itself as providing a more open alternative to proprietary image-synthesis models like OpenAI's DALL-E 3, though not without controversy due to the use of copyrighted training data, bias, and the potential for abuse.
We do not have access to Stable Diffusion 3 (SD3), but from samples we found posted on Stability's website and associated social media accounts, the generations appear roughly comparable to other state-of-the-art image-synthesis models at the moment, including the aforementioned DALL-E 3, Adobe Firefly, Imagine with Meta AI, Midjourney, and Google Imagen.
While Stable Diffusion 3 isn't widely available, Stability says that once testing is complete, its weights will be free to download and run locally.
"This preview phase, as with previous models," Stability writes, "is crucial for gathering insights to improve its performance and safety ahead of an open release."
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