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How does this AI tool work?
For context, Stable Diffusion XL features up to 2.56 billion parameters.
As you might already know, AI heavily relies on existing content, including images, for training.
This large set of parameters explains why generating images might take a bit of time.
As such, the tool can generate images in a split second.
The image generation model doesn’t require high-end GPUs and sophisticated devices to run smoothly.
It only requires about 8GB of RAM to generate images.
This way, the smaller model is capable of generating quality images faster.
According tobenchmarks shared by the scientists, KOALA is significantly faster than OpenAI’s DALL-E 3 orDALL-E 2models.
KOALA only took 1.6 seconds to generate the image.
There are five versions of KOALA.
The scientists intend to integrate these models across existing image generation services, content production, and more.
