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VOOZH | about |
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VOOZH | about |
AI/ML Technical Content Strategist
The race to create the greatest image generation model continues onward, and it only grows more heated. This year, we have seen the rise of FLUX to replace the total dominance of Stable Diffusion XL in the open source community, seen Ideogram and ReCraft introduce next gen models on the closed source side that blow expectations out of the water, and seen numerous smaller projects break the mold in their own ways across a variety of different sub-tasks.
In this article, we want to introduce you to one of those mold breakers that has caught our attention: NVIDIA Sana. This incredibly fast model, while very newly released, offers a plethora of important traits we believe will beome standard with subsequent SOTA model releases.
Follow along with us in this article for a detailed explanation of what makes Sana powerful, capable, and different from other current popular releases, and see why it might be the right model for your image generation workflow. Afterwards, we will show in detail how to run the Sana models on a DigitalOcean cloud GPU Droplet.
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