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Source channel @githubtrending · Post #14643 · Apr 28

#python#3d#3d_aigc#3d_generation#diffusion_models#hunyuan3d#image_to_3d#shape#shape_generation#text_to_3d#texture_generation Hunyuan3D 2.0 is a powerful tool that creates detailed 3D models with textures in two steps: first building the shape, then adding colors and materials. It works efficiently on standard computers (as low as 5GB VRAM for basic models) and offers multiple ways to use it, like coding, Blender plugins, or online demos, making it accessible for creating game-ready 3D assets, VR/AR content, or custom designs without needing advanced hardware. https://github.com/Tencent/Hunyuan3D-2

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DOFH - DevOps from hell

@dofh_ru · Post #3570 · 02/05/2025, 05:54 PM

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Here we go again! SEV-SNP is vulnerable, again. New AMD SEV-SNP vulnerability: https://github.com/google/security-research/security/advisories/GHSA-4xq7-4mgh-gp6w Exploit: https://github.com/google/security-research/tree/master/pocs/cpus/entrysign Reports about two recent vulnerabilities in SEV-SNP memory encryption and isolation mechanism, on CPU pipeline, cache and branch prediction level: https://www.amd.com/en/resources/product-security/bulletin/amd-sb-3019.html https://www.amd.com/en/resources/product-security/bulletin/amd-sb-3010.html AMD reported that previous approaches to Spectre class attacks will work to fix new vulnerabilities: https://www.amd.com/content/dam/amd/en/documents/epyc-technical-docs/tuning-guides/software-techniques-for-managing-speculation.pdf #cVM #TEE #SEV #SNP #SEV_SNP #AMD

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