与「Waterfall」相关的搜索结果

做一个下dsh和pi的对比 Pi 的目标是“最小核心 + 用户自己拼”，DSH 的目标是“几乎所有能力都插件化，官方先给你几套完整组合”。 DSH 的骨架是Cordis。 Cordis 不是普通插件加载器，它强调两件事： 1. 可逆副作用（temporal composability）：插件卸载时，注册的服务、事件、工具 schema、prompt section 全部自动撤销。 2. 依赖声明与空间组合（spatial composability）：插件通过 `inject` 声明需要什么服务，运行时按依赖挂载。 所以在 DSH 里： - 模型适配器是插件 - 工具注册表是插件 - session log 是插件 - agent loop 本身也是插件 - 甚至 UI 也是插件 没有“神圣不可动的核心”。你想换 loop、换工具策略、换上下文压缩，挂一个新插件 + 改配置就行。 启动时是 Profile + Bundle叠出来的： 空根 → dsh-base（模型、工具、沙箱、凭证…） → dsh-web-app 或 dsh-headless → 用户自己的 cordis.patch.yml → 命令行 --patch `dsh --profile web --dump-config` 能直接把当前实际挂载的树打出来。 Session 设计是硬核部分 Session 是 append-only 的事件流 模型最终看到的上下文，必须能从这条 log 完整重建出来。官方写得很死： > Model-visible means logged. 任何会进模型请求的内容，都要先变成 session event。 所以 fork、resume、回放、UI 渲染、telemetry，全部从同一条流投影。这点比大多数 coding agent 做得更彻底。 Turn / Step 有claudecode的影子，流程如下： turn/start → claim input → agent/pre-step（可拦截、可改写） → step/start → llm/stream → tool/call → tools/pre-execute → execute → post-execute → step/end → 继续 or turn/end `agent/pre-step`、`tools/*` 这些是 waterfall，监听者必须显式 `next()` 才能往下传。扩展点设计得很规整。 Pi 的实际交集 DSH 仓库里有一个包： `@deepseek-ai/dsh-llm-pi-ai` 它就是把 pi-ai当成 LLM 适配器的后端。 多 provider、协议兼容、reasoning effort 映射、catalog 覆盖，都走 pi-ai 的能力，再包一层 Cordis 插件契约。 所以： - LLM 调用层：吃了 Pi 的基础设施 - Agent 编排、工具、session、UI、沙箱：完全自己的 Cordis 体系 “LLM 适配层直接用了 pi-ai，上层重做了一套更重的可组合 Runtime”。 模式上的对应 DSH 的 Minimal 模式才最接近 Pi 的默认体验：只留 shell + 文件编辑器，专门给 benchmark 用。 官方之前在 V4 的 agent 评测里就用过这个模式。 Standard 模式和 Code（PTC）模式则是完整工具集 + 程序化工具编排，已经远超 Pi 默认的 4 工具。 如果你喜欢 Pi 那种“核心极瘦、自己动手加东西”的感觉，DSH 会显得重，配置和概念也更多。 如果你要的是可替换的 agent loop、完整事件回放、多模式预设、以及官方已经搭好的 Web 界面，DSH 的插件树和 seam 设计更系统。 一句话： Pi 是极简可扩展的 coding harness；DSH 是基于 Cordis 的完整 Agent Runtime，LLM 层复用了 pi-ai，但整体不是同一套代码。

Experience the grandeur of Keoti Waterfall in Rewa, where cascading waters plunge from towering cliffs, filling the air with mist and creating dazzling rainbows. Every drop, every roar, and every view is a reminder of nature's incredible beauty. A sight that stays with you long after you leave — Keoti Waterfall is one of Madhya Pradesh’s unforgettable natural wonders. 📍 Keoti Waterfall, Rewa, Madhya Pradesh Disclaimer: Your safety is our top priority. Before planning a visit to any waterfall, please ensure you take proper safety precautions. Always check in advance with the local Forest Department and relevant district authorities to confirm if entry to the site is permitted, as weather conditions and local regulations can change rapidly. Stay safe, respect nature, and travel responsibly. Video Credits: (Instagram Id - rewa__se__satna)

Transported into a landscape painting in an instant🌿 Detian Waterfall leaves everyone in awe; Asia’s largest transnational waterfall is truly astonishing. It is breathtaking and utterly enchanting. 🌲🍁 🌾🌊

where cliffs meet the ocean nature creates masterpieces beyond imagination #Nature# #Earth# #Ocean# #Waterfall# #EpicNature# #AmazingViews# #DiscoverEarth# #TravelPhotography# #ExploreMore# #OurPlanet# #LandscapeLovers# #NatureLovers# #AdventureAwaits# #Cinematic# #Wanderlust# #BeautifulEarth# #ViralVideo# #Trending# #FYP# #Relaxing#

where waterfalls touch the clouds nature at its most powerful and beautiful #Nature# #Waterfall# #Landscape# #NatureLovers# #Earth# #Explore# #Adventure# #Travel# #Clouds# #Rain# #Storm# #Scenery# #WildNature# #BeautifulDestinations# #Cinematic# #Mountain# #Forest# #Photography# #Viral# #ForYou#

Where China began — Henan Province invites you on an unforgettable cultural journey! Known as the cradle of uninterrupted Chinese civilization, Henan has witnessed over 5,000 years of history wind along the Yellow River. Explore world-famous UNESCO sites: the Longmen Grottoes and their tens of thousands of delicate Buddhist stone statues; the Yin Ruins, where oracle bone script—the earliest Chinese writing—was unearthed; and the Shaolin Temple, the global birthplace of kung fu, where Zen meditation and martial arts meet. Stroll through Kaifeng's Millennium City Park to relive the prosperous Song Dynasty, admire a sea of peonies in ancient Luoyang every spring, and soak in immersive epic shows at Unique Henan: Land of Dramas. Beyond relics, Yuntai Mountain offers stunning waterfalls and red-cliff landscapes. You can also enjoy hearty noodles and soup dishes, and discover traditional crafts across the region. With a convenient high-speed rail network linking major destinations, the region is highly accessible. Discover the origins of Chinese culture, witness timeless art and natural beauty, and create your unique travel story in Henan, China.

THE 16-FRAME GRID TRICK THAT KEEPS SEEDANCE 2.0 CHARACTERS CONSISTENT One monk. One white dragon. A full chase sequence through a waterfall canyon and into a forest. No drift, no dragon losing its horns mid-scene, no robe changing shade between cuts. Most creators generate one reference image then re-prompt Seedance 2.0 shot by shot and hope the character holds together. The real consistency comes from building the entire sequence as one 4x4 storyboard grid in GPT Image 2.0 first — then feeding that grid into Seedance 2.0, not raw prompts. Here's the workflow: 1. Write the character bible — monk: bald, gold robe. dragon: white fur, antler horns, amber eyes. locked before frame one 2. Draft 16 frame captions — shot type + action + one punchy line each 3. Lock the visual style in a single block — cinematic, shallow depth, water mist, motion blur on fur 4. Generate the full 4x4 grid in GPT Image 2.0 — numbered corners, thin black borders, captions baked in 5. Pull each frame out as its own reference image 6. Feed each frame + its caption into Seedance 2.0 as an individual shot 7. Stitch the shots in storyboard order Why this works: - Dragon and monk get designed once across the whole grid — not reinvented in 16 separate prompts - Motion blur and mist already encode energy so Seedance has less to guess - Frame captions double as your shot list — no re-planning once you're animating - Consistent framing forces consistent camera logic before video even starts Use cases: ⁃ Mythology / fantasy sequences with non-human creatures ⁃ Action chase scenes across multiple environments ⁃ Character + creature pairs that need to stay locked across cuts ⁃ Cinematic shorts with no budget and no team Not every fur detail survived the jump to video untouched — some cleanup needed once things start moving. But designing the dragon and monk together in one grid before touching Seedance killed almost all my consistency issues.

China’s Buildings Rain to Beat the Heat POV: It’s 39°C… but your street, building, and park just turned on outdoor AC. China’s mist cooling systems (rooftops raining, lamp posts spraying, plazas in cool fog) drop temps 3-8°C instantly. Feels like a gentle waterfall, zero extra cost, and it’s everywhere now. Genius summer hack. #ChinaInnovation# #SmartCities#