资源信息
一站式收录Sora从原理、论文到应用实战的精华资源，助你快速理解文生视频技术前沿，紧跟AI视频生成浪潮，轻松掌握核心玩法与创作思路。
资源目录
├── Sora-AI视频全网最全收集（100多个） │ ├── Promts │ │ └── Sora-AI视频全网最全收集-对应提示词.xlsx 0.02M │ └── Videos │ ├── 1ESXz6gPL_jYm6ox.mp4 2.79M │ ├── 2r6R4jfZdso_d6YU.mp4 1.40M │ ├── 6.mp4 2.79M │ ├── 15.mp4 4.60M │ ├── 18.mp4 2.22M │ ├── a-toy-robot-wearing-blue-jeans-and-a-white-t-shirt-taking-a-pleasant-stroll-in-Antarctica-during-a-beautiful-sunset.mp4 3.05M │ ├── a-woman-wearing-a-green-dress-and-a-sun-hat-taking-a-pleasant-stroll-in-Mumbai-India-during-a-beautiful-sunset.mp4 2.95M │ ├── a0.mp4 10.20M │ ├── a1.mp4 10.16M │ ├── a2.mp4 11.95M │ ├── amalfi-coast.mp4 8.45M │ ├── an-adorable-kangaroo-wearing-a-green-dress-and-a-sun-hat-taking-a-pleasant-stroll-in-Johannesburg-South-Africa-during-a-colorful-festival.mp4 3.92M │ ├── an-old-man-wearing-purple-overalls-and-cowboy-boots-taking-a-pleasant-stroll-in-Antarctica-during-a-winter-storm.mp4 2.32M │ ├── aquarium-nyc.mp4 21.46M │ ├── art-museum.mp4 4.03M │ ├── auBXTZ_s-sWYY4Xc.mp4 2.78M │ ├── b0.mp4 8.78M │ ├── b1.mp4 6.44M │ ├── b2.mp4 5.52M │ ├── backward-jogger.mp4 4.06M │ ├── basketball-explosion.mp4 1.79M │ ├── Beautiful, snowy Tokyo.mp4 50.56M │ ├── big-eyed-fluff-ball.mp4 9.56M │ ├── bike_1.mp4 7.50M │ ├── birds-over-river.mp4 10.76M │ ├── c0.mp4 7.90M │ ├── c1.mp4 8.19M │ ├── cat-on-bed.mp4 7.66M │ ├── CE6XePnWBZWTKNLc.mp4 3.76M │ ├── CFzxxpSCn8IaARWi.mp4 4.26M │ ├── chair-archaeology.mp4 6.39M │ ├── chameleon.mp4 8.64M │ ├── chinese-new-year-dragon.mp4 13.51M │ ├── closeup-man-in-glasses.mp4 8.88M │ ├── cloud-man.mp4 10.71M │ ├── d0.mp4 12.51M │ ├── d1.mp4 13.37M │ ├── d2.mp4 9.01M │ ├── dancing-kangaroo.mp4 2.83M │ ├── discussion_0.mp4 1.24M │ ├── dogs-downtown.mp4 5.84M │ ├── e0.mp4 6.56M │ ├── e1.mp4 8.72M │ ├── e2.mp4 14.65M │ ├── e3HK1GSUAgNxC2EY.mp4 4.04M │ ├── flower-blooming.mp4 1.29M │ ├── grandma-birthday.mp4 2.45M │ ├── happy-cat.mp4 7.18M │ ├── HWv91bL5DRAhAHz8_1.mp4 11.25M │ ├── italian-pup.mp4 4.92M │ ├── lagos.mp4 7.80M │ ├── LKvuCYNyu2IWkY8v.mp4 4.91M │ ├── monster-with-melting-candle.mp4 16.22M │ ├── octopus-and-crab.mp4 3.54M │ ├── Od5aGL5Ml4ycuR-x.mp4 5.18M │ ├── origami-undersea.mp4 61.51M │ ├── otter-on-surfboard.mp4 16.04M │ ├── OVgwFsijR_mmi6fY.mp4 2.24M │ ├── paper-airplanes.mp4 17.85M │ ├── petri-dish-pandas.mp4 2.39M │ ├── photoreal-train.mp4 3.82M │ ├── prompting_1.mp4 1.05M │ ├── prompting_3.mp4 0.92M │ ├── prompting_5.mp4 0.55M │ ├── prompting_7.mp4 5.19M │ ├── puppy-cloning.mp4 1.65M │ ├── rNiKCJeJyf8Ue4gS.mp4 2.82M │ ├── robot-video-game.mp4 10.48M │ ├── S18_Hii3-CRsx4Vo.mp4 1.51M │ ├── sampling_2.mp4 10.44M │ ├── santorini.mp4 3.98M │ ├── scaling_2.mp4 1.55M │ ├── Several giant wooly mammoths.mp4 12.42M │ ├── ships-in-coffee.mp4 13.59M │ ├── simulation_0.mp4 12.66M │ ├── simulation_1.mp4 6.62M │ ├── simulation_4.mp4 2.85M │ ├── simulation_5.mp4 2.58M │ ├── simulation_6.mp4 10.87M │ ├── simulation_7.mp4 12.34M │ ├── snow-dogs.mp4 15.43M │ ├── ssstwitter.com_1708024200398.mp4 3.75M │ ├── ssstwitter.com_1708024354050.mp4 2.96M │ ├── ssstwitter.com_1708027050964.mp4 2.83M │ ├── ssstwitter.com_1708027218755.mp4 2.04M │ ├── ssstwitter.com_1708242793064.mp4 6.04M │ ├── ssstwitter.com_1708295424095.mp4 1.88M │ ├── stack-of-tvs.mp4 11.14M │ ├── suv-in-the-dust.mp4 11.97M │ ├── tiny-construction.mp4 12.25M │ ├── tokyo-walk.mp4 46.20M │ ├── train-window.mp4 3.42M │ ├── tUfDESZsQFhdDW9S.mp4 4.41M │ ├── U7_eoLJ3HCUgIBu8.mp4 2.24M │ ├── uRkXLMR6UXciZNX8.mp4 3.30M │ ├── UST-fn-RvhJwMR5S.mp4 1.96M │ ├── victoria-crowned-pigeon.mp4 7.67M │ ├── vlogger-corgi.mp4 7.53M │ ├── wolves.mp4 4.62M │ ├── wwaEhwkd7vryYZLs.mp4 2.01M │ ├── wzXcdViEEYGvz6kv.mp4 3.74M │ ├── x-tDLpMBPun0BIYt.mp4 2.27M │ ├── XFQY4fgZUB6GMw9q.mp4 4.50M │ ├── Y-hqbC_qKQ6d7ZaN.mp4 3.46M │ ├── 原搬运者弄太多水印了，我尽力去掉了一些……想要更多无水印版本请点这里.txt 0.00M │ ├── yDF9Gv87H3tnHRoG.mp4 5.20M │ └── zgD5gULAiUj4Mmro.mp4 15.47M ├── Sora提示词技巧 │ ├── Sora大模型关于颜色和光线的提示词技巧.docx 0.02M │ ├── Sora对于动态元素的提示词技巧.docx 0.02M │ ├── Sora关于风格和艺术元素的提示词技巧.docx 0.01M │ ├── Sora关于情感氛围的提示词技巧.docx 0.02M │ ├── Sora关于情境细节的提示词技巧.docx 0.01M │ ├── Sora关于视频分镜的提示词技巧.docx 0.02M │ ├── Sora关于透视和角度的提示词技巧.docx 0.01M │ ├── sora关于详细描述的提示词技巧.docx 0.02M │ ├── sora明确主体的提示词技巧.docx 0.01M │ └── Sora模型关于背景详细的提示词技巧.docx 0.02M ├── Sora学习论文 │ ├── sora学习论文-在线试看版 │ │ ├── Adversarial Video Generation on Complex Datasets.pdf 9.50M │ │ ├── Align your Latents- High-Resolution Video Synthesis with Latent Diffusion Models.pdf 11.50M │ │ ├── An Image is Worth 16x16 Words- Transformers for Image Recognition at Scale.pdf 3.57M │ │ ├── Attention Is All You Need.pdf 2.11M │ │ ├── Auto-Encoding Variational Bayes.pdf 3.74M │ │ ├── Deep Unsupervised Learning using Nonequilibrium Thermodynamics.pdf 4.15M │ │ ├── Denoising Diffusion Probabilistic Models.pdf 9.79M │ │ ├── Diffusion Models Beat GANs on Image Synthesis.pdf 37.95M │ │ ├── Elucidating the Design Space of Diffusion-Based Generative Models.pdf 18.32M │ │ ├── Generating Long Videos of Dynamic Scenes.pdf 10.35M │ │ ├── Generating Videos with Scene Dynamics.pdf 1.95M │ │ ├── Generative Pretraining From Pixels.pdf 2.00M │ │ ├── Hierarchical Text-Conditional Image Generation with CLIP Latents.pdf 40.92M │ │ ├── High-Resolution Image Synthesis with Latent Diffusion Models.pdf 38.95M │ │ ├── Imagen Video- High Definition Video Generation with Diffusion Models.pdf 8.48M │ │ ├── Improved Denoising Diffusion Probabilistic Models.pdf 11.87M │ │ ├── Improving Image Generation with Better Captions.pdf 26.79M │ │ ├── Language Models are Few-Shot Learners.pdf 6.45M │ │ ├── Masked Autoencoders Are Scalable Vision Learners.pdf 7.10M │ │ ├── MoCoGAN- Decomposing Motion and Content for Video Generation.pdf 6.40M │ │ ├── NUWA- Visual Synthesis Pre-training for Neural visUal World creAtion .pdf 7.01M │ │ ├── Patch n' Pack- NaViT, a Vision Transformer for any Aspect Ratio and Resolution.pdf 1.77M │ │ ├── Photorealistic Video Generation with Diffusion Models.pdf 5.52M │ │ ├── Recurrent Environment Simulators.pdf 8.02M │ │ ├── Scalable Diffusion Models with Transformers .pdf 41.79M │ │ ├── Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.pdf 48.66M │ │ ├── SDEdit- Guided Image Synthesis and Editing with Stochastic Differential Equations .pdf 11.83M │ │ ├── Unsupervised Learning of Video Representations using LSTMs.pdf 2.19M │ │ ├── VideoGPT- Video Generation using VQ-VAE and Transformers.pdf 2.61M │ │ ├── ViViT- A Video Vision Transformer.pdf 4.55M │ │ ├── World Models.pdf 3.00M │ │ └── Zero-Shot Text-to-Image Generation.pdf 9.66M │ ├── sora学习论文-打包防和谐.exe 361.41M │ └── sora学习论文-打包防和谐.zip 370.14M ├── Sora专属教程 │ ├── 1、前言 │ │ ├── 1、sora提示词的重要性及其在视频创作中的应用.docx 0.02M │ │ └── 2、本教程的目标与学习内容.docx 0.01M │ ├── 2、基础篇：了解提示词 │ │ ├── 2、不同类型的提示词及其作用 │ │ │ ├── 描述性提示词及其作用.docx 0.02M │ │ │ ├── 情感性提示词及其作用.docx 0.02M │ │ │ └── 指令性提示词及其作用.docx 0.02M │ │ ├── 1、提示词的定义与功能.docx 0.01M │ │ └── 3、如何选择适合视频主题的提示词.docx 0.02M │ ├── 3、进阶篇：构建高效提示词 │ │ ├── 1、关键词优化技巧 │ │ │ ├── 避免冗余和模糊表达.docx 0.02M │ │ │ └── 使用具体、生动的词汇.docx 0.02M │ │ ├── 2、情感引导与观众共鸣 │ │ │ ├── 创造共鸣与参与感.docx 0.02M │ │ │ └── 利用情感性提示词调动观众情绪.docx 0.02M │ │ └── 3、指令性提示词的巧妙运用 │ │ ├── 应对复杂场景和特定需求.docx 0.02M │ │ └── 指导模型生成符合预期的视频内容.docx 0.01M │ ├── 4、高级篇：提示词与视频创作的融合 │ │ ├── 1、创意启发：利用提示词激发创作灵感.docx 0.02M │ │ ├── 2、叙事构建：通过提示词规划视频结构和节奏.docx 0.02M │ │ └── 3、风格塑造：通过提示词实现视频风格的多样化.docx 0.02M │ ├── 5、实战篇：案例分析与操作指导 │ │ ├── 根据生成结果调整和优化提示词的策略.docx 0.02M │ │ ├── 利用Sora文生视频模型生成视频内容.docx 0.02M │ │ └── 针对不同主题的视频进行提示词设计.docx 0.02M │ └── 6、总结与展望 │ ├── 本教程所学内容的回顾与总结.docx 0.01M │ └── Sora文生视频模型与提示词未来的发展趋势.docx 0.01M ├── Sora专属提示词库 │ ├── 场景篇.xlsx 0.02M │ ├── 动作与姿态偏.xlsx 0.01M │ ├── 故事线索篇.xlsx 0.02M │ ├── 天气篇.xlsx 0.01M │ └── 特殊环境篇.xlsx 0.01M ├── 关于Sora：什么是Sora？一文带你看懂Sora！.txt 0.00M ├── SoraAI视频工具优先体验资格.docx 0.13M └── SORA五个快速变现方向.docx 0.01M
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