NVIDIA and the battle for the future of Generative AI
Amidst all the buzz surrounding AI generative tools, in August 2022, Analytics India Magazine predicted that Nvidia would launch text-to-image models and platforms.
Nearly three years after introducing GauGAN, an AI tool that turns sketches into photorealistic landscapes, Nvidia has finally released its text-to-image diffusion model called eDiffi, competing with the likes of Meta’s ‘Make a Scene,’ Google’s Imagen, OpenAI’s DALL.E 2, Stability AI’s Stable Diffusion, Midjourney, and others. What took Nvidia so long to release a text-to-image tool? The question remains shrouded in mystery for now, but better late than never.
The new kid on the block offers unprecedented text-to-image synthesis with instant style transfer and intuitive painting with word capabilities. Compared to the open-source text-to-image Stable Diffusion and DALL.E 2, eDiffi consistently leads to improved synthesis quality.
But how did they do it?
Nvidia researchers* have used different expert denoisers for different noise intervals of the generative process. Unlike many text-to-image tools, eDiffi has used CLIP text, T5 text, and CLIP image encoders/embeddings, leading to improved synthesis capabilities.
Result: eDiffi can generate photorealistic images corresponding to any input text prompts. Besides text-to-image synthesis, the new diffusion model by Nvidia offers two interesting new features: ‘Paint-with-Words’ and ‘Style-guided image generation’. Go explore!
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