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Tag: diffusion models

  • Hacker News: Diffusion models are evolutionary algorithms

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    Source URL: https://gonzoml.substack.com/p/diffusion-models-are-evolutionary Source: Hacker News Title: Diffusion models are evolutionary algorithms Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a groundbreaking paper linking diffusion models and evolutionary algorithms, positing that both processes create novelty and generalization in data. This revelation is crucial for AI professionals, particularly in generative AI and…

  • Hacker News: Iterative α-(de)blending and Stochastic Interpolants

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    Source URL: http://www.nicktasios.nl/posts/iterative-alpha-deblending/ Source: Hacker News Title: Iterative α-(de)blending and Stochastic Interpolants Feedly Summary: Comments AI Summary and Description: Yes Summary: The text reviews a paper proposing a method called Iterative α-(de)blending for simplifying the understanding and implementation of diffusion models in generative AI. The author critiques the paper for its partial clarity, discusses the…

  • Hacker News: SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup

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    Source URL: https://hanlab.mit.edu/blog/svdquant Source: Hacker News Title: SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text discusses the innovative SVDQuant paradigm for post-training quantization of diffusion models, which enhances computational efficiency by quantizing both weights and activations to…

  • Cloud Blog: Powerful infrastructure innovations for your AI-first future

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    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…

  • OpenAI : Simplifying, stabilizing, and scaling continuous-time consistency models

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    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…

  • Cloud Blog: Beyond the basics: Build real-world gen AI skills with the latest learning paths from Google Cloud

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    Source URL: https://cloud.google.com/blog/topics/training-certifications/four-new-gen-ai-learning-paths-on-offer/ Source: Cloud Blog Title: Beyond the basics: Build real-world gen AI skills with the latest learning paths from Google Cloud Feedly Summary: The majority of organizations don’t feel ready for the AI era. In fact, 62% say they don’t have the expertise they need to unlock AI’s full potential.1 As the leader…

  • Hacker News: Meissonic, High-Resolution Text-to-Image Synthesis on consumer graphics cards

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    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…

  • Hacker News: 20x faster convergence for diffusion models

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    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…

  • Hacker News: Pulsar: Secure Steganography for Diffusion Models

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    Source URL: https://eprint.iacr.org/2023/1758 Source: Hacker News Title: Pulsar: Secure Steganography for Diffusion Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces Pulsar, an innovative approach to secure steganography that leverages image diffusion models for embedding sensitive messages within generated images. This method addresses security concerns in traditional cryptography and highlights the…

  • Hacker News: Diffusion Is Spectral Autoregression

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    Source URL: https://sander.ai/2024/09/02/spectral-autoregression.html Source: Hacker News Title: Diffusion Is Spectral Autoregression Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the similarities between diffusion models and autoregressive models in the context of generative modeling, particularly for visual data. It elaborates on the mathematical aspects and underlying principles that link these two paradigms,…