Tag: diffusion model
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Cloud Blog: Powerful infrastructure innovations for your AI-first future
Source URL: https://cloud.google.com/blog/products/compute/trillium-sixth-generation-tpu-is-in-preview/ Source: Cloud Blog Title: Powerful infrastructure innovations for your AI-first future Feedly Summary: The rise of generative AI has ushered in an era of unprecedented innovation, demanding increasingly complex and more powerful AI models. These advanced models necessitate high-performance infrastructure capable of efficiently scaling AI training, tuning, and inferencing workloads while optimizing…
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OpenAI : Simplifying, stabilizing, and scaling continuous-time consistency models
Source URL: https://openai.com/index/simplifying-stabilizing-and-scaling-continuous-time-consistency-models Source: OpenAI Title: Simplifying, stabilizing, and scaling continuous-time consistency models Feedly Summary: We’ve simplified, stabilized, and scaled continuous-time consistency models, achieving comparable sample quality to leading diffusion models, while using only two sampling steps. AI Summary and Description: Yes Summary: The text highlights advancements in continuous-time consistency models within the realm of…
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Hacker News: Meissonic, High-Resolution Text-to-Image Synthesis on consumer graphics cards
Source URL: https://arxiv.org/abs/2410.08261 Source: Hacker News Title: Meissonic, High-Resolution Text-to-Image Synthesis on consumer graphics cards Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “Meissonic,” a new model for efficient high-resolution text-to-image synthesis that improves upon existing diffusion models. It highlights architectural innovations and enhancements in image generation, positioning Meissonic as a…
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Hacker News: 20x faster convergence for diffusion models
Source URL: https://sihyun.me/REPA/ Source: Hacker News Title: 20x faster convergence for diffusion models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel technique, REPresentation Alignment (REPA), which enhances the performance of generative diffusion models by improving internal representation alignment with self-supervised visual representations. This method significantly increases training efficiency and…
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The Register: Google trains a GenAI model to simulate DOOM’s game engine in real-ish time
Source URL: https://www.theregister.com/2024/08/28/google_doom_ai/ Source: The Register Title: Google trains a GenAI model to simulate DOOM’s game engine in real-ish time Feedly Summary: The proof of concept shows promise despite big limitations A team from Google and Tel Aviv University have developed a generative AI game engine capable of simulating the cult classic DOOM at more…