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【Sora资源最全合集】

时间:2025-11-19 综合 查看: 2

分享作者:百晓*网盘资源

资源分类:网盘资源

入库时间:2025-11-19 00:39:47

分享时间:2025-05-28 23:59:34

文件数量:19个文件夹,123个文件

文件大小:1.54 GB

内容摘要:【Sora资源最全合集】_Sora提示词技巧_Sora对于动态元素的提示词技巧_Sora关于情境细节的提示词技巧_Sora关于情感氛围的提示词技巧_Sora关于视频分镜的提示词技巧_Sora大模型关于颜色和光线的提示词技巧_Sora关于透视和角度的提示词技巧_Sora关于风...

【Sora资源最全合集】相关文件名

  • 📁 【Sora资源最全合集】
  •     📁 Sora提示词技巧
  •         📄 Sora对于动态元素的提示词技巧.docx
  •         📄 Sora关于情境细节的提示词技巧.docx
  •         📄 Sora关于情感氛围的提示词技巧.docx
  •         📄 Sora关于视频分镜的提示词技巧.docx
  •         📄 Sora大模型关于颜色和光线的提示词技巧.docx
  •         📄 Sora关于透视和角度的提示词技巧.docx
  •         📄 Sora关于风格和艺术元素的提示词技巧.docx
  •         📄 Sora模型关于背景详细的提示词技巧.docx
  •         📄 sora明确主体的提示词技巧.docx
  •         📄 sora关于详细描述的提示词技巧.docx
  •     📁 Sora专属提示词库
  •         📄 动作与姿态偏.xlsx
  •         📄 故事线索篇.xlsx
  •         📄 天气篇.xlsx
  •         📄 特殊环境篇.xlsx
  •         📄 场景篇.xlsx
  •     📁 Sora-AI视频全网最全收集(100多个)
  •         📁 Videos
  •             📄 suv-in-the-dust.mp4
  •             📄 italian-pup.mp4
  •             📄 ssstwitter.com_1708295424095.mp4
  •             📄 e0.mp4
  •             📄 CFzxxpSCn8IaARWi.mp4
  •             📄 Beautiful, snowy Tokyo.mp4
  •             📄 ships-in-coffee.mp4
  •             📄 cat-on-bed.mp4
  •             📄 ssstwitter.com_1708242793064.mp4
  •             📄 prompting_7.mp4
  •             📄 c0.mp4
  •             📄 an-adorable-kangaroo-wearing-a-green-dress-and-a-sun-hat-taking-a-pleasant-stroll-in-Johannesburg-South-Africa-during-a-colorful-festival.mp4
  •             📄 chair-archaeology.mp4
  •             📄 dancing-kangaroo.mp4
  •             📄 UST-fn-RvhJwMR5S.mp4
  •             📄 tokyo-walk.mp4
  •             📄 yDF9Gv87H3tnHRoG.mp4
  •             📄 tiny-construction.mp4
  •             📄 grandma-birthday.mp4
  •             📄 prompting_5.mp4
  •             📄 big-eyed-fluff-ball.mp4
  •             📄 vlogger-corgi.mp4
  •             📄 monster-with-melting-candle.mp4
  •             📄 a-woman-wearing-a-green-dress-and-a-sun-hat-taking-a-pleasant-stroll-in-Mumbai-India-during-a-beautiful-sunset.mp4
  •             📄 a2.mp4
  •             📄 e2.mp4
  •             📄 ssstwitter.com_1708024354050.mp4
  •             📄 an-old-man-wearing-purple-overalls-and-cowboy-boots-taking-a-pleasant-stroll-in-Antarctica-during-a-winter-storm.mp4
  •             📄 simulation_0.mp4
  •             📄 cloud-man.mp4
  •             📄 lagos.mp4
  •             📄 happy-cat.mp4
  •             📄 wolves.mp4
  •             📄 simulation_7.mp4
  •             📄 rNiKCJeJyf8Ue4gS.mp4
  •             📄 wzXcdViEEYGvz6kv.mp4
  •             📄 scaling_2.mp4
  •             📄 simulation_6.mp4
  •             📄 otter-on-surfboard.mp4
  •             📄 simulation_4.mp4
  •             📄 backward-jogger.mp4
  •             📄 d2.mp4
  •             📄 paper-airplanes.mp4
  •             📄 18.mp4
  •             📄 octopus-and-crab.mp4
  •             📄 basketball-explosion.mp4
  •             📄 closeup-man-in-glasses.mp4
  •             📄 d0.mp4
  •             📄 b1.mp4
  •             📄 train-window.mp4
  •         📁 Promts
  •             📄 Sora-AI视频全网最全收集-对应提示词.xlsx
  •     📁 Sora学习论文
  •         📁 sora学习论文-在线试看版
  •             📄 Generative Pretraining From Pixels.pdf
  •             📄 Elucidating the Design Space of Diffusion-Based Generative Models.pdf
  •             📄 SDEdit- Guided Image Synthesis and Editing with Stochastic Differential Equations .pdf
  •             📄 Improving Image Generation with Better Captions.pdf
  •             📄 ViViT- A Video Vision Transformer.pdf
  •             📄 Patch n' Pack- NaViT, a Vision Transformer for any Aspect Ratio and Resolution.pdf
  •             📄 Unsupervised Learning of Video Representations using LSTMs.pdf
  •             📄 Language Models are Few-Shot Learners.pdf
  •             📄 MoCoGAN- Decomposing Motion and Content for Video Generation.pdf
  •             📄 High-Resolution Image Synthesis with Latent Diffusion Models.pdf
  •             📄 Align your Latents- High-Resolution Video Synthesis with Latent Diffusion Models.pdf
  •             📄 Zero-Shot Text-to-Image Generation.pdf
  •             📄 Generating Videos with Scene Dynamics.pdf
  •             📄 Adversarial Video Generation on Complex Datasets.pdf
  •             📄 Scalable Diffusion Models with Transformers .pdf
  •             📄 Improved Denoising Diffusion Probabilistic Models.pdf
  •             📄 Photorealistic Video Generation with Diffusion Models.pdf
  •             📄 World Models.pdf
  •             📄 Deep Unsupervised Learning using Nonequilibrium Thermodynamics.pdf
  •             📄 Imagen Video- High Definition Video Generation with Diffusion Models.pdf
  •             📄 Attention Is All You Need.pdf
  •             📄 NUWA- Visual Synthesis Pre-training for Neural visUal World creAtion .pdf
  •             📄 Auto-Encoding Variational Bayes.pdf
  •             📄 Recurrent Environment Simulators.pdf
  •             📄 Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.pdf
  •             📄 An Image is Worth 16x16 Words- Transformers for Image Recognition at Scale.pdf
  •             📄 Generating Long Videos of Dynamic Scenes.pdf
  •             📄 Diffusion Models Beat GANs on Image Synthesis.pdf
  •             📄 Denoising Diffusion Probabilistic Models.pdf
  •             📄 Masked Autoencoders Are Scalable Vision Learners.pdf
  •             📄 VideoGPT- Video Generation using VQ-VAE and Transformers.pdf
  •             📄 Hierarchical Text-Conditional Image Generation with CLIP Latents.pdf
  •         📄 sora学习论文-打包防和谐.zip
  •         📄 sora学习论文-打包防和谐.exe
  •     📁 Sora专属教程
  •         📁 3、进阶篇:构建高效提示词
  •             📁 1、关键词优化技巧
  •                 📄 使用具体、生动的词汇.docx
  •                 📄 避免冗余和模糊表达.docx
  •             📁 3、指令性提示词的巧妙运用
  •                 📄 指导模型生成符合预期的视频内容.docx
  •                 📄 应对复杂场景和特定需求.docx
  •             📁 2、情感引导与观众共鸣
  •                 📄 创造共鸣与参与感.docx
  •                 📄 利用情感性提示词调动观众情绪.docx
  •         📁 4、高级篇:提示词与视频创作的融合
  •             📄 2、叙事构建:通过提示词规划视频结构和节奏.docx
  •             📄 3、风格塑造:通过提示词实现视频风格的多样化.docx
  •             📄 1、创意启发:利用提示词激发创作灵感.docx
  •         📁 2、基础篇:了解提示词
  •             📁 2、不同类型的提示词及其作用
  •                 📄 情感性提示词及其作用.docx
  •                 📄 指令性提示词及其作用.docx
  •                 📄 描述性提示词及其作用.docx
  •             📄 1、提示词的定义与功能.docx
  •             📄 3、如何选择适合视频主题的提示词.docx
  •         📁 1、前言
  •             📄 2、本教程的目标与学习内容.docx
  •             📄 1、sora提示词的重要性及其在视频创作中的应用.docx
  •         📁 6、总结与展望
  •             📄 本教程所学内容的回顾与总结.docx
  •             📄 Sora文生视频模型与提示词未来的发展趋势.docx
  •         📁 5、实战篇:案例分析与操作指导
  •             📄 针对不同主题的视频进行提示词设计.docx
  •             📄 利用Sora文生视频模型生成视频内容.docx
  •             📄 根据生成结果调整和优化提示词的策略.docx
  •     📄 SoraAI视频工具优先体验资格.docx
  •     📄 SORA五个快速变现方向.docx
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