Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Create Stunning Time-Series Satellite Images in Seconds! The GEE Data Catalogs Plugin v0.5 for QGIS is now available and it's a powerful upgrade. You can now create time-series satellite imagery with just a few clicks using a simple interface. The new version also supports direct downloads to your computer,... show more

Qiusheng Wu

51,284 subscribers

14,101 views • 6 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

🚀 The #GeoAI Python package now supports feature segmentation from high-resolution satellite and aerial imagery using text prompts, such as trees, buildings, etc. It efficiently processes large datasets with automatic tiling and can save results as a single image. Stay tuned for more features coming soon! 📓 Access the notebook: 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

🚀 The #GeoAI Python package now supports feature segmentation from high-resolution satellite and aerial imagery using text prompts, such as trees, buildings, etc. It efficiently processes large datasets with automatic tiling and can save results as a single image. Stay tuned for more features coming soon! 📓 Access the notebook: 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

Qiusheng Wu

13,923 views • 1 year ago

🚀 A sneak peek of a new feature in the #GeoAI Python package! Now you can train an image segmentation model for extracting features (e.g., buildings) from satellite or aerial imagery—all with just a few lines of code. 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

🚀 A sneak peek of a new feature in the #GeoAI Python package! Now you can train an image segmentation model for extracting features (e.g., buildings) from satellite or aerial imagery—all with just a few lines of code. 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

Qiusheng Wu

11,284 views • 1 year ago

Google Earth now lets you create AI images using real-world locations. With the new Nano Banana AI feature, you can pick any place in Google Earth, click “Create Image,” and describe what you want to see. The AI can turn that location into a historical scene, a futuristic city or a fantasy world The feature uses Google Earth’s satellite and 3D map data as the base, so the AI-generated images are built from real locations.

Google Earth now lets you create AI images using real-world locations. With the new Nano Banana AI feature, you can pick any place in Google Earth, click “Create Image,” and describe what you want to see. The AI can turn that location into a historical scene, a futuristic city or a fantasy world The feature uses Google Earth’s satellite and 3D map data as the base, so the AI-generated images are built from real locations.

Pirat_Nation 🔴

24,731 views • 13 days ago

Google just wired DeepMind and Earth Engine directly into the biggest geospatial dataset on the planet. For two decades, millions of people used Google Earth to scale the Himalayas or zoom in on their childhood neighbourhoods. In 2026, Google is basically trying to shift the entire platform toward professional execution. They turned a massive digital twin of the world into an agentic AI engine for global infrastructure. The technical foundation is (obviously) all about data. Google integrated 20-metre and 40-metre elevation contours globally. Engineers and urban planners now have instant access to the exact topographic context required for site planning anywhere on Earth. The data catalogue updates continuously to maintain the freshest imagery possible. Collaboration used to kill geospatial projects. Teams would lose momentum through stale materials or bad handoffs. Google fixed this by building frictionless data import systems. You can now drop KML, KMZ, and GeoJSON files directly onto the global map. Entire departments can align on a single source of truth, moving from a raw question to a definitive answer instantly. The biggest upgrade is the introduction of agentic geospatial intelligence. Users can open 'Ask Google Earth' and search massive satellite and Street View databases using natural language. You type a command, and the AI handles the manual data wrangling. It identifies new site locations and analyses infrastructure before you even open a spreadsheet.

Google just wired DeepMind and Earth Engine directly into the biggest geospatial dataset on the planet. For two decades, millions of people used Google Earth to scale the Himalayas or zoom in on their childhood neighbourhoods. In 2026, Google is basically trying to shift the entire platform toward professional execution. They turned a massive digital twin of the world into an agentic AI engine for global infrastructure. The technical foundation is (obviously) all about data. Google integrated 20-metre and 40-metre elevation contours globally. Engineers and urban planners now have instant access to the exact topographic context required for site planning anywhere on Earth. The data catalogue updates continuously to maintain the freshest imagery possible. Collaboration used to kill geospatial projects. Teams would lose momentum through stale materials or bad handoffs. Google fixed this by building frictionless data import systems. You can now drop KML, KMZ, and GeoJSON files directly onto the global map. Entire departments can align on a single source of truth, moving from a raw question to a definitive answer instantly. The biggest upgrade is the introduction of agentic geospatial intelligence. Users can open 'Ask Google Earth' and search massive satellite and Street View databases using natural language. You type a command, and the AI handles the manual data wrangling. It identifies new site locations and analyses infrastructure before you even open a spreadsheet.

Yohan

45,167 views • 4 months ago

🚀 Free High Quality Satellite Imagery With Playback Today, we're introducing beautiful high quality satellite imagery from the GOES weather satellites. Free for all users: • Access to all 16 bands (L1b products) • Coverage across CONUS, both Mesoscale sectors and Full Disk • Playback with up to 15 frames • Real-time updates • Inspect the data directly on the map Plus subscribers unlock more: • Imagery displayed on a 3D globe (Globe Projection) • Split View to compare bands side-by-side • Playback with up to 50 frames • Smoothing options: see the raw data or a polished look • RenderStream for faster loading when in low cell service areas Tropical season is now here - stay one step ahead Available on: iOS: Android: Browser: And to Plus subscribers using our Windows/Mac App

🚀 Free High Quality Satellite Imagery With Playback Today, we're introducing beautiful high quality satellite imagery from the GOES weather satellites. Free for all users: • Access to all 16 bands (L1b products) • Coverage across CONUS, both Mesoscale sectors and Full Disk • Playback with up to 15 frames • Real-time updates • Inspect the data directly on the map Plus subscribers unlock more: • Imagery displayed on a 3D globe (Globe Projection) • Split View to compare bands side-by-side • Playback with up to 50 frames • Smoothing options: see the raw data or a polished look • RenderStream for faster loading when in low cell service areas Tropical season is now here - stay one step ahead Available on: iOS: Android: Browser: And to Plus subscribers using our Windows/Mac App

WeatherWise.app

31,289 views • 1 year ago

🚀 Pro Just Got More Powerful Today we're releasing ‘Expert Mode' for WeatherWise Pro subscribers Turn on multiple modes, like Radar and Satellite, at the same time - Synchronized playback across all the activated modes - Data picker works across multiple modes - All modes automatically update with the latest data There is more... We are also adding: - Smoothing for the Radar Cross Section tool - Triple View for Tablet/Desktop - A new scan alert sound for FastScan - Keyboard shortcut for Reflectivity X - Improved smoothing for Composite imagery - Check out everything new in this thread! 🧵 Upgrade to version 1.4.0: iOS: Android: Available now in the web browser and through our Mac, Windows and Linux App

🚀 Pro Just Got More Powerful Today we're releasing ‘Expert Mode' for WeatherWise Pro subscribers Turn on multiple modes, like Radar and Satellite, at the same time - Synchronized playback across all the activated modes - Data picker works across multiple modes - All modes automatically update with the latest data There is more... We are also adding: - Smoothing for the Radar Cross Section tool - Triple View for Tablet/Desktop - A new scan alert sound for FastScan - Keyboard shortcut for Reflectivity X - Improved smoothing for Composite imagery - Check out everything new in this thread! 🧵 Upgrade to version 1.4.0: iOS: Android: Available now in the web browser and through our Mac, Windows and Linux App

WeatherWise.app

21,902 views • 1 year ago

You can now create AI images directly from Google Slides. No need to spend hours searching for images for your presentations. And this feature is available for free. Here's how to activate it: 1. Go to labs .google .com 2. Scroll down to "Google Workspace". 3. Click on the "Learn more" button to access the waitlist. When it's activated, you'll see the button that appears in Google Slides as in the video. Click on it and enter your prompt: E.g.: "a cat in front of a raspberry pie". You can even choose different styles: photography, vector art, sketch, ... This will save a lot of time when creating slideshows! Don't hesitate to follow me to learn how to do more with AI.

You can now create AI images directly from Google Slides. No need to spend hours searching for images for your presentations. And this feature is available for free. Here's how to activate it: 1. Go to labs .google .com 2. Scroll down to "Google Workspace". 3. Click on the "Learn more" button to access the waitlist. When it's activated, you'll see the button that appears in Google Slides as in the video. Click on it and enter your prompt: E.g.: "a cat in front of a raspberry pie". You can even choose different styles: photography, vector art, sketch, ... This will save a lot of time when creating slideshows! Don't hesitate to follow me to learn how to do more with AI.

Paul Couvert

318,258 views • 2 years ago

Starlink just launched its first European satellite-to-phone service. Today. Virgin Media O2 switched on O2 Satellite on February 26. It is the first commercial satellite-to-smartphone data service in the UK and in all of Europe. Powered by Starlink Direct to Cell. What it does: If you're an O2 customer with a Samsung Galaxy S25, your phone automatically connects to Starlink satellites when you move beyond traditional cell coverage. No special hardware. No satellite phone. Your regular smartphone connects directly to space. O2's UK landmass coverage jumped overnight from 89% to 95%. That's new connectivity across an area roughly two-thirds the size of Wales, according to Virgin Media O2. At launch, the service supports text messaging and a limited set of apps including WhatsApp, Google Maps, Facebook Messenger, and X. Standard voice calls are not yet supported. Speeds are estimated around 4Mbps. More devices and apps are expected to follow. 650+ Starlink satellites now support Direct to Cell. SpaceX has signed 11 carrier partnerships to date, with similar services already live in the U.S. through T-Mobile. £3 per month. That's what O2 is charging to keep you connected in places where there was zero signal yesterday. Starlink is becoming the invisible backup layer for phone networks worldwide

Starlink just launched its first European satellite-to-phone service. Today. Virgin Media O2 switched on O2 Satellite on February 26. It is the first commercial satellite-to-smartphone data service in the UK and in all of Europe. Powered by Starlink Direct to Cell. What it does: If you're an O2 customer with a Samsung Galaxy S25, your phone automatically connects to Starlink satellites when you move beyond traditional cell coverage. No special hardware. No satellite phone. Your regular smartphone connects directly to space. O2's UK landmass coverage jumped overnight from 89% to 95%. That's new connectivity across an area roughly two-thirds the size of Wales, according to Virgin Media O2. At launch, the service supports text messaging and a limited set of apps including WhatsApp, Google Maps, Facebook Messenger, and X. Standard voice calls are not yet supported. Speeds are estimated around 4Mbps. More devices and apps are expected to follow. 650+ Starlink satellites now support Direct to Cell. SpaceX has signed 11 carrier partnerships to date, with similar services already live in the U.S. through T-Mobile. £3 per month. That's what O2 is charging to keep you connected in places where there was zero signal yesterday. Starlink is becoming the invisible backup layer for phone networks worldwide

tetsuo

13,518 views • 5 months ago

Conducting road safety audits, scheduling maintenance, or planning logistics routes used to require combing through imagery or, worse, driving miles of roads yourself. Not anymore. New AI-powered data layers in Google Earth are changing that. Pulling from billions of Google Street View images, these layers now spot infrastructure assets like stop signs, speed limit signs, and more to map infrastructure for you. By combining these assets into a single project and diving into Street View you can locate and validate assets on Google Earth in seconds. These layers are now available for Professional & Professional Advanced customers on web and Android, with coverage expanding over the coming weeks.

Conducting road safety audits, scheduling maintenance, or planning logistics routes used to require combing through imagery or, worse, driving miles of roads yourself. Not anymore. New AI-powered data layers in Google Earth are changing that. Pulling from billions of Google Street View images, these layers now spot infrastructure assets like stop signs, speed limit signs, and more to map infrastructure for you. By combining these assets into a single project and diving into Street View you can locate and validate assets on Google Earth in seconds. These layers are now available for Professional & Professional Advanced customers on web and Android, with coverage expanding over the coming weeks.

Google Earth

20,799 views • 2 months ago

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

Santiago

171,340 views • 1 year ago

One trick we discovered for avoiding realistic face moderation issues in Seedance 2.0 is using character turnaround sheets (front / side / back views). The first video is one of our experiment results — and it runs successfully. We’ve now integrated character turnarounds directly into our workflow + canvas system: 1. If your artwork was generated on our site, you can drag the image into the canvas directly from the Assets tab 2. Click the “Character Turnaround” button above the image to automatically generate a 3-view turnaround sheet 3. Create a new video node and use the turnaround sheet directly with Seedance 2.0 inside the workflow I’ve shared the workflow link in the comments if you want to explore the exact prompts, setup, and workflow details.

One trick we discovered for avoiding realistic face moderation issues in Seedance 2.0 is using character turnaround sheets (front / side / back views). The first video is one of our experiment results — and it runs successfully. We’ve now integrated character turnarounds directly into our workflow + canvas system: 1. If your artwork was generated on our site, you can drag the image into the canvas directly from the Assets tab 2. Click the “Character Turnaround” button above the image to automatically generate a 3-view turnaround sheet 3. Create a new video node and use the turnaround sheet directly with Seedance 2.0 inside the workflow I’ve shared the workflow link in the comments if you want to explore the exact prompts, setup, and workflow details.

underwood

32,883 views • 2 months ago

What if your video pipeline worked like your codebase? Introducing Replit Animation. Replit ⠕ #replitanimation From a single prompt, you can generate animated videos directly in Replit. It writes TypeScript with modern libraries to build scenes, apply styling, and export straight to mp4. Because it is built on code, you can import your real components, brand tokens, and design systems. That means consistent styling, reusable assets, and total control. Video as code means you can tweak, version, and scale your videos just like software. Create repeatable workflows for product updates, feature drops, and marketing campaigns without starting from scratch every time. Here is an example of a video I generated inside Replit. Export at your chosen resolution and frame rate or host with a unique URL. Activate video mode by typing video in your first prompt or selecting Animation under App mode. Create your first one:

JOY JULIET

146,865 views • 5 months ago

(1/n) 🚀 With FastVideo, you can now generate a 5-second video in 5 seconds on a single H200 GPU! Introducing FastWan series, a family of fast video generation models trained via a new recipe we term as “sparse distillation”, to speed up video denoising time by 70X! 🖥️ Live demo: (Thanks to @gmicloud for the support!) 🔗 Blog: 🔓 We fully open-source our models, code, and data with Apache-2.0 licenses

(1/n) 🚀 With FastVideo, you can now generate a 5-second video in 5 seconds on a single H200 GPU! Introducing FastWan series, a family of fast video generation models trained via a new recipe we term as “sparse distillation”, to speed up video denoising time by 70X! 🖥️ Live demo: (Thanks to @gmicloud for the support!) 🔗 Blog: 🔓 We fully open-source our models, code, and data with Apache-2.0 licenses

Hao AI Lab

78,660 views • 1 year ago

This is how easy it’ll be to create a DAO in Telegram Messenger 💠 In the new XDAO mini-app, all it takes is 4 simple steps: 1️⃣ Enter the DAO name, full token name, and ticker 2️⃣ Add your partners (using their wallet addresses) 3️⃣ Choose how to distribute shares — equally or proportionally 4️⃣ Set the consensus threshold — for example, 51% for decision-making And that’s it — your DAO is live. Directly in Telegram on TON, in just a few minutes. No coding, no complicated interface, no hassle. You can also add a description, email, and social links for your DAO right after setup ✅

This is how easy it’ll be to create a DAO in Telegram Messenger 💠 In the new XDAO mini-app, all it takes is 4 simple steps: 1️⃣ Enter the DAO name, full token name, and ticker 2️⃣ Add your partners (using their wallet addresses) 3️⃣ Choose how to distribute shares — equally or proportionally 4️⃣ Set the consensus threshold — for example, 51% for decision-making And that’s it — your DAO is live. Directly in Telegram on TON, in just a few minutes. No coding, no complicated interface, no hassle. You can also add a description, email, and social links for your DAO right after setup ✅

XDAO

72,635 views • 1 year ago

A new era for Nodepay has begun. Bandwidth has been powering our real-time data retrieval infrastructure from day one. Now, that foundation has delivered something bigger: The Intelligence Engine — a living network of structured, real-time insights, powered by you. - Your predictions become real-time signals - Your insights become knowledge - Your bandwidth collects data for our AI - $NC becomes the fuel This is AI combined with collective intelligence. Why It Matters: - Users get rewarded for their insights, not just engagement - Projects gain direct access to real-time, validated community sentiment - Everyone saves time, earns more, & makes smarter decisions First access is reserved for $NC holders ⚠️ The next wave of users will be onboarded following the upcoming snapshot 📸 Soon, you’ll all be able to contribute insights, unlock smarter rewards, and tap into real-time sentiment and conviction that gives you the edge. The Intelligence Engine is live — and you’re getting paid to power it.

A new era for Nodepay has begun. Bandwidth has been powering our real-time data retrieval infrastructure from day one. Now, that foundation has delivered something bigger: The Intelligence Engine — a living network of structured, real-time insights, powered by you. - Your predictions become real-time signals - Your insights become knowledge - Your bandwidth collects data for our AI - $NC becomes the fuel This is AI combined with collective intelligence. Why It Matters: - Users get rewarded for their insights, not just engagement - Projects gain direct access to real-time, validated community sentiment - Everyone saves time, earns more, & makes smarter decisions First access is reserved for $NC holders ⚠️ The next wave of users will be onboarded following the upcoming snapshot 📸 Soon, you’ll all be able to contribute insights, unlock smarter rewards, and tap into real-time sentiment and conviction that gives you the edge. The Intelligence Engine is live — and you’re getting paid to power it.

Nodepay

82,903 views • 1 year ago

Want to reduce a LOT of the censorship in Seedance 2.0? I’m going to show you a simple method that almost nobody is using — and it can completely change the results of your videos. Tutorial: First, ask ChatGPT to translate your entire prompt into the Tibetan language. Since it is a less common language in China, this can sometimes help bypass some of the censorship limitations. After that, use the translated prompt inside Seedance 2.0 to generate the video. This is exactly how the video shown above was created. To generate the videos, use Yapper . The recommendation is to create multiple videos at the same time — for example, generate 8 videos at once — to increase the chances of getting an even better result.

Want to reduce a LOT of the censorship in Seedance 2.0? I’m going to show you a simple method that almost nobody is using — and it can completely change the results of your videos. Tutorial: First, ask ChatGPT to translate your entire prompt into the Tibetan language. Since it is a less common language in China, this can sometimes help bypass some of the censorship limitations. After that, use the translated prompt inside Seedance 2.0 to generate the video. This is exactly how the video shown above was created. To generate the videos, use Yapper . The recommendation is to create multiple videos at the same time — for example, generate 8 videos at once — to increase the chances of getting an even better result.

nachos2d

30,513 views • 5 months ago

🚨 THE RACE TO 6G JUST ACCELERATED. Northrop Grumman has developed a W-band GaN chip operating at up to 110 GHz and took it from concept to market-ready hardware in less than six months. The new gallium nitride chip operates in the W-band (75–110 GHz), a frequency range that delivers massive bandwidth, extremely high data rates, and much lower latency than current systems. What makes this impressive is the speed: the chip went from concept to market-ready hardware in less than six months through a U.S. government-backed microelectronics program. That’s unusually fast for advanced defense-grade semiconductors. The chip acts as a high-power signal amplifier that can strengthen wireless links while shrinking the size and power consumption of the hardware. It’s designed for military radar, secure satellite communications, and the coming wave of 6G networks. Why this matters: • W-band offers far more spectrum than current 5G bands, enabling much faster data transmission and higher-resolution sensing • Gallium nitride can handle significantly higher power and frequencies than silicon, making it ideal for these demanding applications • The rapid development cycle shows how public-private collaboration can accelerate critical semiconductor technologies • The same tech that strengthens military radar and satellite links will directly feed into future commercial 6G infrastructure The deeper implication: We’re watching the foundation of next-generation wireless and sensing systems being laid in real time. High-frequency GaN chips like this won’t just improve existing radar and satellite systems they’re likely to become core building blocks for 6G, autonomous systems, and advanced defense platforms. The fact that this moved from lab to market in under six months suggests the pace of high-frequency electronics is accelerating dramatically. The future of wireless isn’t just faster. It’s operating at frequencies most people have never heard of and it’s being built right now. How soon do you think W-band and GaN technology will start appearing in everyday 6G devices? Follow for more frontier semiconductors, defense tech, and next-generation wireless systems.

🚨 THE RACE TO 6G JUST ACCELERATED. Northrop Grumman has developed a W-band GaN chip operating at up to 110 GHz and took it from concept to market-ready hardware in less than six months. The new gallium nitride chip operates in the W-band (75–110 GHz), a frequency range that delivers massive bandwidth, extremely high data rates, and much lower latency than current systems. What makes this impressive is the speed: the chip went from concept to market-ready hardware in less than six months through a U.S. government-backed microelectronics program. That’s unusually fast for advanced defense-grade semiconductors. The chip acts as a high-power signal amplifier that can strengthen wireless links while shrinking the size and power consumption of the hardware. It’s designed for military radar, secure satellite communications, and the coming wave of 6G networks. Why this matters: • W-band offers far more spectrum than current 5G bands, enabling much faster data transmission and higher-resolution sensing • Gallium nitride can handle significantly higher power and frequencies than silicon, making it ideal for these demanding applications • The rapid development cycle shows how public-private collaboration can accelerate critical semiconductor technologies • The same tech that strengthens military radar and satellite links will directly feed into future commercial 6G infrastructure The deeper implication: We’re watching the foundation of next-generation wireless and sensing systems being laid in real time. High-frequency GaN chips like this won’t just improve existing radar and satellite systems they’re likely to become core building blocks for 6G, autonomous systems, and advanced defense platforms. The fact that this moved from lab to market in under six months suggests the pace of high-frequency electronics is accelerating dramatically. The future of wireless isn’t just faster. It’s operating at frequencies most people have never heard of and it’s being built right now. How soon do you think W-band and GaN technology will start appearing in everyday 6G devices? Follow for more frontier semiconductors, defense tech, and next-generation wireless systems.

TheNewPhysics

22,647 views • 2 months ago

I’m 2he, a 16-year-old creator from Africa. Over the last year, I’ve been obsessed with AI content creation, but most of the tools I wanted to use were too expensive. Instead of giving up, I started using Grok, the best affordable option available to me. Today, I create everything using just my phone and Grok. I am more than capable to create contents like these with my phone but thanks to you guys I am thinking of buying a computer so that I can create faster. I am passionate about combining AI, anime and storytelling. With my main objective of building out a Anime AI studio eventually in the future. One video at a time. With your support as my validation, also for my parents, I can dedicate more focus towards achieving my dreams. After these last blessed hours, all of us at home are awake past our bedtimes and my siblings were helping me to create a tiktok so I can share my creations further. Whilst I kept going with the content. Thank you 2he community, this is just the beggining! Thank you for following me and my journey.

I’m 2he, a 16-year-old creator from Africa. Over the last year, I’ve been obsessed with AI content creation, but most of the tools I wanted to use were too expensive. Instead of giving up, I started using Grok, the best affordable option available to me. Today, I create everything using just my phone and Grok. I am more than capable to create contents like these with my phone but thanks to you guys I am thinking of buying a computer so that I can create faster. I am passionate about combining AI, anime and storytelling. With my main objective of building out a Anime AI studio eventually in the future. One video at a time. With your support as my validation, also for my parents, I can dedicate more focus towards achieving my dreams. After these last blessed hours, all of us at home are awake past our bedtimes and my siblings were helping me to create a tiktok so I can share my creations further. Whilst I kept going with the content. Thank you 2he community, this is just the beggining! Thank you for following me and my journey.

2he

20,037 views • 2 months ago

Seedance 2.0 is insane... AI filmmaking is no longer locked behind complex workflows, expensive tools, or regional limits. SJinn Agent now supports both Seedance 2.0 Pro and Seedance 2.0 Fast, giving creators a faster way to generate cinematic videos with more control over the final result. You can add image, video, and audio references to guide the direction, motion, style, and feeling of your videos, making the process more like directing And the best part: they’re offering 40% off, so this is probably the easiest time to test what high-level AI video creation can actually look like Prompt in first comment:

Seedance 2.0 is insane... AI filmmaking is no longer locked behind complex workflows, expensive tools, or regional limits. SJinn Agent now supports both Seedance 2.0 Pro and Seedance 2.0 Fast, giving creators a faster way to generate cinematic videos with more control over the final result. You can add image, video, and audio references to guide the direction, motion, style, and feeling of your videos, making the process more like directing And the best part: they’re offering 40% off, so this is probably the easiest time to test what high-level AI video creation can actually look like Prompt in first comment:

Amira Zairi

55,860 views • 3 months ago