Tag: AI

We’ll walk you through a detailed Flora AI tutorial, showing you how this powerful platform allows for storyboarding, iteration, and seamless refinement across all your projects. Learn how to combine the best AI video generators with LLMs like ChatGPT and AI image generators like Midjourney.

Ready to level up your marketing campaign or brand design? This Flora AI tutorial will help you create AI stories and campaigns in one place. We’ll cover storyboarding with AI, and how to visualize your whole story within Flora Fauna AI. Learn how to unleash the Flora AI video generator to quickly produce compelling visuals, then loop back to text for analysis and improvement—all from one unified interface. This end-to-end approach eliminates messy file handoffs between different apps, empowering you to achieve consistent and polished results.

By integrating top generative models, including GPT-4 and Stable Diffusion, Flora AI provides a flexible foundation for everything from rapid prototyping to full-fledged production work. Curious about harnessing Flora Fauna AI to reduce mundane tasks and keep your authentic human touch? Our in-depth Flora AI tutorial will show you how to beat low-quality AI content and add true narrative depth to your campaigns or creative projects. Whether you’re looking to master the Flora AI video generator or simply want to dip your toes into the best AI tools on the market, this video has you covered.

Higgsfield rewrote their Terms of Service — twice in one week. Here’s the full breakdown: what the original July 23rd terms actually said (a perpetual, irrevocable output license, default-on training, a face license you could never take back), what the revised terms fix, what they quietly walked back, and the one thing that didn’t change at all.

This isn’t a video I wanted to make. But since my thread on X (331K+ views and counting) kind of lit the match on this whole thing, I figured I owed everyone the full recap: the original terms email, the community pushback, and the July 26th revision — six real wins, four quiet take-backs, and a training grant that survived word-for-word. Plus the sponsorship question I keep getting asked, some receipts from the Higgsfield Discord, and a little free dad advice.

I’m not a lawyer. I’m not your dad (mostly). Make up your own mind — everything I mention is linked below.

Caleb compares node-based AI tools like Weevi, Flora, and Freepik Spaces to understand their pros and cons in professional workflows. The analysis covers creative potential, cost, and time efficiency for producing content like short films versus traditional application-based methods.

This takes programmatic video and image generation to the next level… I connected Claude Code to an MCP endpoint for AI video, image, and audio generation.

Build generative AI applications for image, video, and audio with fal, the all-in-one platform designed for developers and enterprise teams. This demo shows how to integrate 1000+ production-ready AI models into your app using a single API, enabling real-time creative generation with industry-leading speed and reliability. Key features:

• Generative AI API for image, video, and audio
• 1000+ state-of-the-art models
• Real-time, low-latency inference (up to 10× faster)
• Compare models side-by-side (price, speed, output)
• Workflow builder for advanced creative pipelines

Enterprise-ready:

• 99.99% uptime
• Secure infrastructure + centralized user management
• Built for production-scale generative media applications

Use cases:

• AI product imagery & virtual try-on (ecommerce)
• Image & video editing, upscaling, and re-styling
• Real-time creative tools and content generation apps

One of the newest GenMedia roles is the Creative Technologist. One of their main roles is to create AI power filmmaking pipelines. They usually work at major movie, animation, and game studios. In this video we show how to build a simple AI filmmaking pipeline using Claude Code and the fal MCP.

The AI compute market has changed dramatically over the past few months. In this video, I discuss the current state of GPU rentals on Vast.ai, SimplePod, and Salad, along with how Pearl mining impacted occupancy rates across the industry.

We take a look at real GPU rental statistics, occupancy rates, verified vs unverified hosts, RTX 5090 demand, AI workloads, storage requirements, internet requirements, and whether building new GPU servers still makes financial sense in 2026.

Topics covered:

• Vast.ai occupancy rates
• SimplePod utilization
• Salad demand trends
• RTX 5090 rental profitability
• Pearl mining impact on GPU rentals
• Verified vs unverified hosts
• Fiber internet and static IP discussion
• AI compute market outlook
• GPU server infrastructure costs
• Future AI rental opportunities

26Generative AI can accelerate asset concepting & storyboarding — but most workflows leave creators fighting for precision and control. The NVIDIA GenAI Creator Toolkit changes that. Watch how a single concept becomes a fully realized 3D character and environment using several modular ComfyUI workflows running locally on NVIDIA RTX GPUs.

Real-time AI video is getting wild. In this video, I’m testing Delulu Stream 2.5, a live AI video transformation tool that can change your appearance, environment, character style, objects, and even VFX-style elements while you’re still on camera.

This is not traditional post-production. It is not a rendered AI video clip. It is a live camera feed being transformed in real time.

I’ll show how Delulu Stream works with preset characters, custom character images, outfit variations, and prompt-based control. Then we’ll look at what really impressed me: live AI VFX, environment changes, object transformations, and surreal visual effects that start to feel like a real-time generative effects system.

I’ll also show how I’m starting to combine Delulu Stream with real-time voice changing so the character transformation feels more complete — not just changing what the audience sees, but changing the performance itself.

This ComfyUI course for beginners teaches you how to use ComfyUI from scratch, starting with the fundamentals and building a real understanding of how AI image generation works locally.

This ComfyUI course is approximately 5 hours long and is designed for visual thinkers who want to understand workflows instead of copying them blindly.

In this episode, you’ll learn what ComfyUI is, how diffusion-based image generation works, how nodes connect, and how to confidently navigate and build workflows step by step. No coding knowledge is required.

This course focuses on clarity, logic, and fundamentals, so you can use ComfyUI without feeling lost or overwhelmed.

If this course helps you understand ComfyUI, subscribe to the channel for future episodes where we go deeper into workflows, models, ControlNet, LoRAs, and advanced techniques.
Feel free to like, comment, and ask questions, they help shape the next episodes.