Stable Diffusion XL 1.0’s training set also includes artwork from artists who’ve protested against companies including Stability AI using their work as training data for generative AI models. But he added that Stability AI’s taken “extra steps” to mitigate harmful content generation by filtering the model’s training data for “unsafe” imagery, releasing new warnings related to problematic prompts and blocking as many individual problematic terms in the tool as possible. Penna doesn’t deny that abuse is possible - and acknowledges that the model contains certain biases, as well.
Graphicconverter windows 10 how to#
Countless others show how to fine-tune the base Stable Diffusion models to generate porn. That’s partially a reflection of the data that was used to train it: millions of images from around the web.Ĭountless tutorials demonstrate how to use Stability AI’s own tools, including DreamStudio, an open source front end for Stable Diffusion, to create deepfakes. The open source version of Stable Diffusion XL 1.0 can, in theory, be used by bad actors to generate toxic or harmful content, like nonconsensual deepfakes. “We hope that by releasing this much more powerful open source model, the resolution of the images will not be the only thing that quadruples, but also advancements that will greatly benefit all users,” he added.īut as with previous versions of Stable Diffusion, the model raises sticky moral issues. Moreover, the model understands complicated, multi-part instructions given in short prompts, whereas previous Stable Diffusion models needed longer text prompts.Īn image generated by Stable Diffusion XL 1.0. While many of the best text-to-image models struggle to generate images with legible logos, much less calligraphy or fonts, Stable Diffusion XL 1.0 is capable of “advanced” text generation and legibility, Penna says.Īnd, as reported by SiliconAngle and VentureBeat, Stable Diffusion XL 1.0 supports inpainting (reconstructing missing parts of an image), outpainting (extending existing images) and “image-to-image” prompts - meaning users can input an image and add some text prompts to create more detailed variations of that picture. Stable Diffusion XL 1.0 is improved in the area of text generation, in addition. “It’s also easier to use, capable of complex designs with basic natural language processing prompting.” “Stable Diffusion XL 1.0 is customizable, ready for fine-tuning for concepts and styles,” Penna said. The previous-gen Stable Diffusion model, Stable Diffusion XL 0.9, could produce higher-resolution images as well, but required more computational might. “Parameters” are the parts of a model learned from training data and essentially define the skill of the model on a problem, in this case generating images.
Graphicconverter windows 10 full#
In an interview with TechCrunch, Joe Penna, Stability AI’s head of applied machine learning, noted that Stable Diffusion XL 1.0, which contains 3.5 billion parameters, can yield full 1-megapixel resolution images “in seconds” in multiple aspect ratios. Available in open source on GitHub in addition to Stability’s API and consumer apps, ClipDrop and DreamStudio, Stable Diffusion XL 1.0 delivers “more vibrant” and “accurate” colors and better contrast, shadows and lighting compared to its predecessor, Stability claims. Today, Stability AI announced the launch of Stable Diffusion XL 1.0, a text-to-image model that the company describes as its “most advanced” release to date.
AI startup Stability AI continues to refine its generative AI models in the face of increasing competition - and ethical challenges.
0 kommentar(er)
