This NEW GLM Update is INSANE! 🤯

This new open- source AI just changed everything. It generates images better than most paid tools, and it actually writes text inside images that you can read. No more weird gibberish letters. You can create professional posters, infographics, social media graphics, all with perfect text. I'm going to show you exactly how it works, how to use it right now for free, and the real prompts you can steal to make insane visuals for your business. The AI profit boardroom community is already using this to create content at scale. And by the end of this video, you'll know exactly how to do it, too. So, stick around because this is huge. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency, Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. All right, let me ask you something. Have you ever tried to generate an image with AI and the text comes out looking like alphabet soup? Yeah, me too. It's been the biggest pain point with AI image generators until now because there's a new model called GLM image and it's completely open source which means free and it solves the text problem plus a bunch of other stuff that's going to blow your mind. Okay, so what is GLM

image? It's a brand new image generation model and it's different from everything else out there. Most AI image generators use diffusion. That's what stable diffusion uses. That's what Deli uses. Diffusion is great for making pretty images, but it sucks at understanding complex instructions and it really sucks at rendering text. Gellum image does something different. It uses a hybrid system, part auto reggressive, part diffusion. The auto reggressive part plans the image. It figures out the layout. It understands what you're asking for. Then the diffusion part takes that blueprint and turns it into a high quality image with perfect details. The auto reggressive generator has 9 billion parameters. The diffusion decoder has 7 billion parameters. Together, they create images with actual readable text. So why should you care?

Because until now, if you wanted to create a poster with text, you had two options. Use a design tool like Canva and do it manually or use AI and then fix the text in Photoshop. Both take time. GM image does it all in one shot. Imagine you need to create social media graphics for the AI profit boardroom. you on a professional Instagram post that says, "Join 40,000 AI automation experts. " With old AI tools, the text would come out garbled. With GLM image, you just describe what you want. The text comes out perfect, done in seconds. Or maybe you need an infographic explaining your AI automation process, something with multiple text blocks and diagrams. Old diffusion models would mess this up completely. GLM image handles it like a pro. This is huge for anyone creating content at scale. social media managers, marketing teams, course creators, agency owners. And speaking of creating content at scale, if you want to learn how to automate your entire content creation process with AI tools like GLM Image, you need to check out the AI Profit Boardroom. We've got over 40,000 members who are using AI automation to save hours every single day. You'll get access to step-by-step workflows, proven templates, and a community of people who are actually doing this stuff. No fluff, just real automation that works. Link is in the description below. All right, let's

break down how this thing actually works. The model has two stages. Stage one is the auto reggressive generator. This is the planning phase. You give it a prompt like create a promotional poster for AI profit boardroom with bold red and black colors, modern design, and the text master AI automation today. The auto reggressive part reads that prompt and understands every detail. It creates a compressed visual representation. Think of it like a detailed blueprint made of tokens. Stage two is the diffusion decoder. This takes those tokens and turns them into actual pixels, high resolution pixels with natural textures and clean edges. The diffusion decoder has a special component called a glyph encoder. That's what makes the text look so good. It understands letter shapes and renders text like a professional designer would.

Real examples and use cases. Let me show you some real examples. First up, text to image generation. You write a prompt, you get an image. Let's say you want to create a YouTube thumbnail. Your prompt might be eye-catching YouTube thumbnail with bold text, AI made easy, bright blue background, modern tech aesthetic, professional design, GLM image generates a thumbnail with perfect text. The letters are crisp. The layout is balanced. You could use this immediately. Second use case, imageto image editing. You already have an image, but you want to change something. maybe add text or change the background. GLM image handles this beautifully. You upload your image, describe what you want changed and it makes those edits while keeping everything else intact. Third use case, infographics. This is where GLM image really shines. Let's say you're creating an infographic about AI automation benefits. You need multiple text sections, bullet points, icons, and a clear visual hierarchy. Your prompt might be professional infographic showing five benefits of AI automation. Modern layout, icons for each benefit, text labels, reading, save time, cut costs, scale fast, reduce errors, increase output, blue and white color scheme. The model generates a complete infographic with all five sections clearly labeled. The text is readable. The icons make sense. You'd need hours to create this in Canva. GLM image does it in seconds. Fourth use case, marketing materials, posters, flyers, social media graphics, ads. For example, creating a promotional image for a new AI course. Your prompt describes the course name, key benefits, visual style, and call to action text. GLM image generates the complete design with everything in place. How to use it right

now? So, how do you actually use this thing? First option, use the huggingface modelhub. Go to huggingface. co. zi. org GLM image. You'll find the model documentation and examples. You can run it through hugging faces interface or download it locally. Second option, use the API. The team behind GLM image offers API access through docs-ci. You can integrate it directly into your workflow. Send prompts via API calls. Get images back instantly. Third option, use the GitHub repository. Go to github. com GLM image. The full code base is there. Fair warning though, this model is big. You need at least 80 GB of VRAM to run it efficiently. If you don't have that hardware, stick with the API or hugging face options. Here's the key to getting

great results. Your prompts need to be detailed. The more information you give, the better the output. Don't just say make a poster. Say create a modern poster with bold typography, red and black color scheme, text reading, AI automation workshop, minimalist design, professional look. GLM image loves information dense prompts. It can handle complexity. So pack your prompts with details, describe colors, layouts, text placement, visual style, everything. Also, be explicit about text. If you want specific words to appear, put them in quotes and use longer prompts for complex images. If you're creating an infographic with multiple sections, describe each section in detail. Let's

talk about the limitations. First, the GPU requirements are serious. If you're running this locally, you need powerful hardware. 80 VRM minimum. The API solves this problem, but you're relying on their servers. Second, the model is brand new. The community tools and integrations are still being built. you won't find as many tutorials compared to stable diffusion or deli. Third, while the text rendering is amazing, it's not 100% perfect every time. Complex layouts with lots of text can still have occasional errors. You might need to generate a few variations. Fourth, the model works best in English and Chinese. Other languages aren't as well supported yet. All right, so that's GLM image, a game-changing open-source model that finally handles text properly. If you want to learn how to integrate tools like this into your business workflow, join the AI profit boardroom. We've got 40,000 members automating their businesses with AI. You'll get templates, workflows, and a community of people actually using this stuff. Link in the description. And if you want the full process, SOPs, and 100 plus AI use cases like this one, join the AI success lab. It's our free AI community. Links in the comments and description. and you'll get all the video notes from there, plus access to our community of 40,000 members who are crushing it with AI. Completely free. No catch, just incredible resources and amazing people. Go check out GLM Image, try it yourself, and let me know in the comments what you create with it. I read every single one. See you in the next video.