Not all AI projects have received the same level of effort as Stable Diffusion, but this should at least provide a fairly insightful look at what the various GPU architectures can manage with AI workloads given proper tuning and effort. We've been poking at Stable Diffusion for over a year now, and while earlier iterations were more difficult to get running - never mind running well - things have improved substantially. We've benchmarked Stable Diffusion, a popular AI image generator, on the 45 of the latest Nvidia, AMD, and Intel GPUs to see how they stack up. How fast are consumer GPUs for doing AI inference using Stable Diffusion? That's what we're here to investigate. While more advanced tools like ChatGPT can require large server installations with lots of hardware for training, running an already-trained network for inference can be done on your PC, using its graphics card. Using trained networks to create images, videos, and text has become not just a theoretical possibility but is now a reality. Stable Diffusion and other AI-based image generation tools like Dall-E and Midjourney are some of the most popular uses of deep learning right now.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |