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Stability announces Stable Diffusion 3

Stability , a company specializing in image-synthesis models, has recently released its latest product, Stable Diffusion 3. This next-generation open-weight model is designed to generate detailed and multi-subject with improved quality and accuracy in text generation. The company claims that the Stable Diffusion 3 family of models can range in size from 800 million to 8 billion parameters, which accommodates different model versions to run locally on various devices. The parameter size corresponds to the model's capability regarding how much detail it can generate. Still, larger models also require more VRAM on GPU accelerators to run.

Stable Diffusion 3 is the latest addition to the series of image-generation models launched by Stability in 2022. The previous models include Stable Diffusion 1.4, 1.5, 2.0, 2.1, XL, and XL Turbo. Stability has made a name for itself by providing a more open alternative to proprietary image-synthesis models like OpenAI's DALL-E 3. However, the use of copyrighted training data, bias, and the potential for abuse have led to unresolved controversy and lawsuits.

Despite the controversy, Stable Diffusion models have been open-weights and source-available, meaning they can be run locally and fine-tuned to change their outputs. Stable Diffusion 3 has yet to be accompanied by a public demo. Still, Stability is opening up a waitlist for those interested.

Stable Diffusion 3 has been designed to generate based on text descriptions called “prompts.” The prompts can range from simple descriptions of objects to complex scenarios. The model can cause many photos, including a studio photograph of a chameleon over a black background, an epic anime artwork of a wizard atop a mountain casting a cosmic spell, and a moody still life of assorted pumpkins.

Stable Diffusion 3 has the potential to revolutionize the field of image-synthesis models by improving the quality and accuracy of generated . However, as with any -powered , it is crucial to consider its potential ethical and legal implications.

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