2025年最新免费无限制ai聊天软件，真的免费，无敏感词，可以瑟瑟，支持酒馆角色卡和deepseek ,grok3,gemini2.5pro等超牛 ai

硅谷各大科技公司根据人类夜间意志最薄弱的时间段优化自己的内容……

Flux Kontext加速方案对比：双截棍 vs. Turbo LoRA

ComfyUI-nunchaku GitHub 主页: https://github.com/mit-han-lab/ComfyUI-nunchaku Nunchaku Kontext Dev 模型: https://hf-mirror.com/mit-han-lab/nunchaku-flux.1-kontext-dev/tree/main FLUX.1 Kontext Dev 进阶版工作流: https://www.bilibili.com/video/BV1CngkzNEZC/ 免费下载此视频工作流: https://pan.quark.cn/s/7f678a787f6f 更多进阶工作流: https://afdian.com/a/myaiforce

【秋叶SD整合包】7月最新StableDiffusion秋叶整合包+全面部署教程——含Win+Mac版本，A卡+N卡版本，一键安装，永久使用（附SD最新安装包)

安装包看评论区获取哈！！！

外刊朗读 | 为什么你应该在工作中发脾气 |【兔毛手袋】

经济学人

史上最流舞限制ai聊天软件，不仅可以免费使用，甚至有deepseek，grok3，gemini2.5pro等超牛ai，记忆力最高200万字，再也不怕忘设定

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【CVPRW 2025】Bill Freeman (MIT)

转载自https://www.youtube.com/watch?v=r-fgrZ0Ve74 Visual Generative Modeling workshop@CVPR 2025, morning session 09:15–09:45 After Diffusion Models Speaker: Bill Freeman (MIT) Workshop website: https://vgm-cvpr.github.io/ About VGM at CVPR 2025 In recent years, diffusion models have rapidly overtaken previous methods to become the dominant approach in visual generative modeling, with widespread applications in generating images, videos, 3D objects, and more. However, these models also come with notable limitations, such as slow generation speeds, limited human intervention during the generation process, and challenges in modeling complex distributions like long videos. This year, our Visual Generative Modeling workshop at CVPR aims to explore what lies beyond diffusion models in visual generative modeling. We will discuss novel insights, alternative approaches, and new possibilities in modeling and generating visual data. Join us for a full-day event featuring keynote talks from both academia and industry -- all designed to ignite innovative ideas and novel research in visual generative modeling. Invited Speakers: Bill Freeman (MIT) Jiajun Wu (Stanford University) Jun-Yan Zhu (CMU) Phillip Isola (MIT) Kaiming He (MIT) Robin Rombach (Black Forest Labs) Jiaming Song (Luma AI) Jiatao Gu (Apple / UPenn) Varun Jampani (Stability AI) Arash Vahdat (NVIDIA) Ricky T. Q. Chen (FAIR) Liang-Chieh Chen (Amazon FAR) Organizers: Tianhong Li (MIT) Yilun Xu (Google DeepMind) Tianyuan Zhang (MIT) Tim Dockhorn (Black Forest Labs) Shuang Li (Stanford University) Arash Vahdat (NVIDIA) Kaiming He (MIT)

[论文讲解]MAT: Multi-Agent Reinforcement Learning is A Sequence Modeling Problem

论文传送门：https://arxiv.org/abs/2205.14953 多智能体强化学习讨论群：1017815604

⚾️感觉你是那种⚾️

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AIGC白板手推系列1：总纲（VAE，Diffusion，GAN，Flow）

本系列视频讲解AIGC领域核心四大深度学习算法：VAE，Diffusion，GAN，Flow。 需要相关AIGC资料可以去我的博客 www.gnn.club 添加小助手领取。 这是本系列的第一个视频，主题为AIGC算法总序。

强强强

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