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Intuitively, that’s how I assumed it already worked, and it’s probably what most new users will also expect. But a single global identity also runs counter to the idea of decentralization, and could invite other further complications.
The current experience can still be pretty jarring.
The superior app experience may end up finally tipping the scale on my perpetual indecision between Lemmy vs Kbin.
Looking forward to the performance improvements.
The key driver of this advancement in composition for SDXL 0.9 is its significant increase in parameter count (the sum of all the weights and biases in the neural network that the model is trained on) over the beta version.
SDXL 0.9 has one of the largest parameter counts of any open source image model, boasting a 3.5B parameter base model and a 6.6B parameter model ensemble pipeline (the final output is created by running on two models and aggregating the results). The second stage model of the pipeline is used to add finer details to the generated output of the first stage.
SDXL 0.9 is now available on the Clipdrop by Stability AI platform. Stability AI API and DreamStudio customers will be able to access the model this Monday, 26th June as well as other leading image generating tools like NightCafe.
SDXL 0.9 will be provided for research purposes only during a limited period to collect feedback and fully refine the model before its general open release. The code to run it will be publicly available on Github.
If researchers would like to access these models, please apply using the following link: SDXL-0.9-Base model, and SDXL-0.9-Refiner. Please log in to your HuggingFace Account with your academic email to request access. Kindly remember that currently, SDXL 0.9 is exclusively intended for research purposes.
Designed by none other than the legendary Susan Kare, apparently.
Complete the effect by combining them with a wristwatch broadcasting your heart rate and the transfixed stare of Apple’s goggles.
Gnome and some KDE applications used to offer tear-off menus that could be positioned anywhere, similar to NeXTSTEP and its derivatives. Seemed like a neat idea that still deserves some consideration.