Загрузка видео...

Не удалось загрузить видео

На главную

Quick breakdown of how this sequence was created using WAN 2.2 Animate agent and Multi-Angle Fashion Shoot agent One changes your appearance and location, the other generates camera movements and transitions. Short tutorial on blending both techniques Links to these agents below 👇

65,311 просмотров • 10 месяцев назад •via X (Twitter)

Комментарии: 14

Фото профиля GLIF
GLIF10 месяцев назад

Try Wan 2.2 Agent here:

Фото профиля GLIF
GLIF10 месяцев назад

Try Fashion Shoot Agent Here:

Фото профиля TF
TF10 месяцев назад

How many credits you use?

Фото профиля fabian
fabian10 месяцев назад

this is really crazy, perfect combo

Фото профиля Ayush Yadav
Ayush Yadav10 месяцев назад

Crazy stuff @fabianstelzer

Фото профиля jboogx.creative
jboogx.creative10 месяцев назад

Actually unlimited possibilities with this 🧠🧠

Фото профиля AI World News🤖💕
AI World News🤖💕10 месяцев назад

Glif is living in the future

Фото профиля Latent Musings
Latent Musings10 месяцев назад

That moment when you slice the pepper… chef’s kiss 🧑‍🍳🔪

Фото профиля HunterHunty Hunted
HunterHunty Hunted9 месяцев назад

Cool! Just sharing Grok estimate: Video generations (especially Wan 2.2) are the bulk of the cost, often comparable to 20–50+ credits per short clip on similar platforms, scaled by length/resolution and retries. Estimated total: 800–2000 credits

Фото профиля chris
chris10 месяцев назад

gonna use this to make everyone i know think that i can cook

Фото профиля Himanshu Kumar
Himanshu Kumar10 месяцев назад

I've observed the agent's function; the sequence creation was efficient.

Фото профиля Guillermo Castellanos
Guillermo Castellanos10 месяцев назад

Wow Next level!

Фото профиля CanEl Studios
CanEl Studios9 месяцев назад

Veery impressive.

Фото профиля Dr G Hodl
Dr G Hodl10 месяцев назад

Cool, thanks for sharing the breakdown!

Похожие видео

New Course: ACP: Agent Communication Protocol Learn to build agents that communicate and collaborate across different frameworks using ACP in this short course built with IBM Research's BeeAI, and taught by Sandi Besen, AI Research Engineer & Ecosystem Lead at IBM, and Nicholas Renotte, Head of AI Developer Advocacy at IBM. Building a multi-agent system with agents built or used by different teams and organizations can become challenging. You may need to write custom integrations each time a team updates their agent design or changes their choice of agentic orchestration framework. The Agent Communication Protocol (ACP) is an open protocol that addresses this challenge by standardizing how agents communicate, using a unified RESTful interface that works across frameworks. In this protocol, you host an agent inside an ACP server, which handles requests from an ACP client and passes them to the appropriate agent. Using a standardized client-server interface allows multiple teams to reuse agents across projects. It also makes it easier to switch between frameworks, replace an agent with a new version, or update a multi-agent system without refactoring the entire system. In this course, you’ll learn to connect agents through ACP. You’ll understand the lifecycle of an ACP Agent and how it compares to other protocols, such as MCP (Model Context Protocol) and A2A (Agent-to-Agent). You’ll build ACP-compliant agents and implement both sequential and hierarchical workflows of multiple agents collaborating using ACP. Through hands-on exercises, you’ll build: - A RAG agent with CrewAI and wrap it inside an ACP server. - An ACP Client to make calls to the ACP server you created. - A sequential workflow that chains an ACP server, created with Smolagents, to the RAG agent. - A hierarchical workflow using a router agent that transforms user queries into tasks, delegated to agents available through ACP servers. - An agent that uses MCP to access tools and ACP to communicate with other agents. You’ll finish up by importing your ACP agents into the BeeAI platform, an open-source registry for discovering and sharing agents. ACP enables collaboration between agents across teams and organizations. By the end of this course, you’ll be able to build ACP agents and workflows that communicate and collaborate regardless of framework. Please sign up here:

Andrew Ng

105,894 просмотров • 1 год назад