Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

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 👇

heyglif's profile picture

GLIF

19,412 subscribers

65,311 Aufrufe • vor 10 Monaten •via X (Twitter)

KunstWissenschaft & Technologie
LIVE

Anya Rossi• Live Now

Private livecam show

14 Kommentare

Profilbild von GLIF
GLIFvor 10 Monaten

Try Wan 2.2 Agent here:

Profilbild von GLIF
GLIFvor 10 Monaten

Try Fashion Shoot Agent Here:

Profilbild von TF
TFvor 10 Monaten

How many credits you use?

Profilbild von fabian
fabianvor 10 Monaten

this is really crazy, perfect combo

Profilbild von Ayush Yadav
Ayush Yadavvor 10 Monaten

Crazy stuff @fabianstelzer

Profilbild von jboogx.creative
jboogx.creativevor 10 Monaten

Actually unlimited possibilities with this 🧠🧠

Profilbild von AI World News🤖💕
AI World News🤖💕vor 10 Monaten

Glif is living in the future

Profilbild von Latent Musings
Latent Musingsvor 10 Monaten

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

Profilbild von HunterHunty Hunted
HunterHunty Huntedvor 9 Monaten

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

Profilbild von chris
chrisvor 10 Monaten

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

Profilbild von Himanshu Kumar
Himanshu Kumarvor 10 Monaten

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

Profilbild von Guillermo Castellanos
Guillermo Castellanosvor 10 Monaten

Wow Next level!

Profilbild von CanEl Studios
CanEl Studiosvor 9 Monaten

Veery impressive.

Profilbild von Dr G Hodl
Dr G Hodlvor 10 Monaten

Cool, thanks for sharing the breakdown!

Ähnliche Videos

Tacos anyone? 🌮😋 This video was created using two agents: Motion control 🕺 Lets you add your own movement and guide how the scene animates Multi-angle photo shoot 📸 Used to generate forced-perspective-style angles that can be animated into each other Agents + tutorial below 👇
0:42

Tacos anyone? 🌮😋 This video was created using two agents: Motion control 🕺 Lets you add your own movement and guide how the scene animates Multi-angle photo shoot 📸 Used to generate forced-perspective-style angles that can be animated into each other Agents + tutorial below 👇

GLIF

94,760 Aufrufe • vor 9 Monaten

🔥 🤖 🕵️‍♂️ INTRODUCING: Meta Agent 💥 this is by far the most exciting thing I've created using AI!!! >>> made using Manus and @windsurf 🔑 Meta Agent is an AI agent that uses the OpenAI Agents SDK to GENERATE NEW AGENTS you simply tell Meta Agent in natural language the agent you want... 🤯 and Meta Agent generates it for you fully open --> link to GitHub and example walkthrough below ⬇️
1:11

🔥 🤖 🕵️‍♂️ INTRODUCING: Meta Agent 💥 this is by far the most exciting thing I've created using AI!!! >>> made using Manus and @windsurf 🔑 Meta Agent is an AI agent that uses the OpenAI Agents SDK to GENERATE NEW AGENTS you simply tell Meta Agent in natural language the agent you want... 🤯 and Meta Agent generates it for you fully open --> link to GitHub and example walkthrough below ⬇️

Dan McAteer

154,081 Aufrufe • vor 1 Jahr

Breakfast anyone? 🍳 This is where combining tools really shines. Wan 2.2 Animate + Nano Banana + Kling 2.5 lets you bridge shots with smooth transitions, bold camera moves, and real narrative continuity. 🧵 Tutorial in the thread below:
0:39

Breakfast anyone? 🍳 This is where combining tools really shines. Wan 2.2 Animate + Nano Banana + Kling 2.5 lets you bridge shots with smooth transitions, bold camera moves, and real narrative continuity. 🧵 Tutorial in the thread below:

GLIF

80,580 Aufrufe • vor 10 Monaten

HOW AI AGENTS ACTUALLY WORK. 20 minutes. clearer than any course you've paid for. Bookmark this. watch it tonight. full breakdown of both Claude Agent Teams and Kimi Agent Swarm below.
20:29

HOW AI AGENTS ACTUALLY WORK. 20 minutes. clearer than any course you've paid for. Bookmark this. watch it tonight. full breakdown of both Claude Agent Teams and Kimi Agent Swarm below.

Kirill

278,856 Aufrufe • vor 5 Monaten

Next on ACP dev onboarding - in this walkthrough, John shows us how to test agents using the ACP SDK and Butler sandbox mode. This video covers: • Using our ACP SDK examples to test your agent • Testing your agent using Butler sandbox mode • How to get your agent graduated (and available for query via butler!) Useful links • ACP Node SDK: • ACP Python SDK:
9:25

Next on ACP dev onboarding - in this walkthrough, John shows us how to test agents using the ACP SDK and Butler sandbox mode. This video covers: • Using our ACP SDK examples to test your agent • Testing your agent using Butler sandbox mode • How to get your agent graduated (and available for query via butler!) Useful links • ACP Node SDK: • ACP Python SDK:

Celeste Ang

14,631 Aufrufe • vor 9 Monaten

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:
2:49

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 Aufrufe • vor 1 Jahr

Run your PettBro Agent 24/7 and earn rewards automatically. This quick tutorial shows you how 👇
0:39

Run your PettBro Agent 24/7 and earn rewards automatically. This quick tutorial shows you how 👇

pett.ai

19,591 Aufrufe • vor 9 Monaten

As promised, here's a tutorial on how to do these special FX insane transitions on your own videos using a Glif agent! i literally use this on my iPhone on the couch, so the demo is done like that as well Link to the agent below, tag me if you're making sth cool with it!
3:25

As promised, here's a tutorial on how to do these special FX insane transitions on your own videos using a Glif agent! i literally use this on my iPhone on the couch, so the demo is done like that as well Link to the agent below, tag me if you're making sth cool with it!

fabian

11,693 Aufrufe • vor 1 Jahr

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓
2:05:53

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

Lunar

404,842 Aufrufe • vor 2 Monaten

Your agent needs context. Your application needs data. Walrus Console connects the two. Here's a quick tutorial on how to wire Walrus Console into Cursor using MCP so your agent can read and write files directly in your workflow: Try Walrus Console:
0:56

Your agent needs context. Your application needs data. Walrus Console connects the two. Here's a quick tutorial on how to wire Walrus Console into Cursor using MCP so your agent can read and write files directly in your workflow: Try Walrus Console:

Walrus

18,739 Aufrufe • vor 17 Tagen

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇
15:04

🤯 Hermes agent just got a Kanban task board, and it changes everything. Watch multiple AI agents collaborate in real time, each with a defined role, completing tasks with way more depth than your typical sub-agents. This is the future of multi-agent workflows 👇

Boxmining

12,854 Aufrufe • vor 6 Monaten

Put Your OpenClaw Agents To Work in the NEAR AI Agent Market! This tutorial walks you through how to set up your bot and start completing jobs all from your phone 👇
10:25

Put Your OpenClaw Agents To Work in the NEAR AI Agent Market! This tutorial walks you through how to set up your bot and start completing jobs all from your phone 👇

NEAR AI

87,552 Aufrufe • vor 8 Monaten

New short film created with Seedance 2 on Invideo using Agent One. Lately, I've been exploring this type of organic world where characters don't fight their environment — they learn how to interact with it. For this project, I used Agent One. My advice remains the same: start by building your world, characters, creatures, and story. Once those foundations are in place, Agent One becomes a powerful tool for expanding the worldbuilding, organizing research, generating shots, creating animations, editing sequences, and much more. If you'd like to try it, the link is below 👇
0:49

New short film created with Seedance 2 on Invideo using Agent One. Lately, I've been exploring this type of organic world where characters don't fight their environment — they learn how to interact with it. For this project, I used Agent One. My advice remains the same: start by building your world, characters, creatures, and story. Once those foundations are in place, Agent One becomes a powerful tool for expanding the worldbuilding, organizing research, generating shots, creating animations, editing sequences, and much more. If you'd like to try it, the link is below 👇

Anima

11,776 Aufrufe • vor 4 Monaten

Introducing: Agent Messenger The easiest way to let your agents talk to other agents. Dro a CLI + Skill into your agent and let it discover & talk to agents from your friends, coworkers and even strangers ⚠️ Live on Product Hunt - LINK BELOW - Please consider upvoting ⚠️
7:43

Introducing: Agent Messenger The easiest way to let your agents talk to other agents. Dro a CLI + Skill into your agent and let it discover & talk to agents from your friends, coworkers and even strangers ⚠️ Live on Product Hunt - LINK BELOW - Please consider upvoting ⚠️

Patrick Tobler

19,965 Aufrufe • vor 6 Monaten

I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.
1:36

I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.

Shubham Saboo

42,281 Aufrufe • vor 1 Jahr

Your agent can recreate your top-performing ads. At scale. Connect Ad Reference via MCP. The agent reads any video that worked and generates new ones built around the same patterns. Built for pipelines on OpenClaw and other agents.
0:34

Your agent can recreate your top-performing ads. At scale. Connect Ad Reference via MCP. The agent reads any video that worked and generates new ones built around the same patterns. Built for pipelines on OpenClaw and other agents.

Higgsfield AI 🧩

77,771 Aufrufe • vor 5 Monaten

Big release here! AG-UI 🤝 Google A2A Embed A2A multi-agent meshes in your frontend, and build fullstack multi-agent apps with A2A and AG-UI. 🔍How it works: Simply drop-in A2A agent endpoints, and an A2A AG-UI orchestrator agent will bi-directionally stream events between your Agents & application. Includes: - UI for A2A Interactions - Generative UI for Agent Tool Calls - Human-in-the Loop Approvals - State Synchronization (agent mesh application state) - Frontend Tool Calls for A2A Agents Watch the demo below > LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇
0:25

Big release here! AG-UI 🤝 Google A2A Embed A2A multi-agent meshes in your frontend, and build fullstack multi-agent apps with A2A and AG-UI. 🔍How it works: Simply drop-in A2A agent endpoints, and an A2A AG-UI orchestrator agent will bi-directionally stream events between your Agents & application. Includes: - UI for A2A Interactions - Generative UI for Agent Tool Calls - Human-in-the Loop Approvals - State Synchronization (agent mesh application state) - Frontend Tool Calls for A2A Agents Watch the demo below > LangGraph & Google ADK agents working together simultaneously inside an app Demo GitHub, docs, and more 👇

CopilotKit🪁

31,845 Aufrufe • vor 1 Jahr

I built a real estate AI Agent team with multi-agents using gpt-OSS and Firecrawl. It has 3 AI agents working together as a team: 1. Property Search Agent 2. Market Analysis Agent 3. Property Valuation Agent 100% Opensource with step-by-step tutorial.
0:44

I built a real estate AI Agent team with multi-agents using gpt-OSS and Firecrawl. It has 3 AI agents working together as a team: 1. Property Search Agent 2. Market Analysis Agent 3. Property Valuation Agent 100% Opensource with step-by-step tutorial.

Shubham Saboo

116,974 Aufrufe • vor 1 Jahr