Article 62MBY A Startup Wants to Democratize the Tech Behind DALL-E 2, Consequences be Damned

A Startup Wants to Democratize the Tech Behind DALL-E 2, Consequences be Damned

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A startup wants to democratize the tech behind DALL-E 2, consequences be damned - TechCrunch:

DALL-E 2, OpenAI's powerful text-to-image AI system, can create photos in the style of cartoonists, 19th century daguerreotypists, stop-motion animators and more. But it has an important, artificial limitation: a filter that prevents it from creating images depicting public figures and content deemed too toxic.

Now an open source alternative to DALL-E 2 is on the cusp of being released, and it'll have few - if any - such content filters.

London- and Los Altos-based startup Stability AI this week announced the release of a DALL-E 2-like system, Stable Diffusion, to just over a thousand researchers ahead of a public launch in the coming weeks. A collaboration between Stability AI, media creation company RunwayML, Heidelberg University researchers and the research groups EleutherAI and LAION, Stable Diffusion is designed to run on most high-end consumer hardware, generating 512*512-pixel images in just a few seconds given any text prompt.

"Stable Diffusion will allow both researchers and soon the public to run this under a range of conditions, democratizing image generation," Stability AI CEO and founder Emad Mostaque wrote in a blog post. "We look forward to the open ecosystem that will emerge around this and further models to truly explore the boundaries of latent space."

But Stable Diffusion's lack of safeguards compared to systems like DALL-E 2 poses tricky ethical questions for the AI community. Even if the results aren't perfectly convincing yet, making fake images of public figures opens a large can of worms. And making the raw components of the system freely available leaves the door open to bad actors who could train them on subjectively inappropriate content, like pornography and graphic violence.

Read more of this story at SoylentNews.

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