Hello and welcome to the Leveraging AI Podcast, a podcast that shares practical, ethical ways to leverage AI to improve efficiency, grow your business and advance your career. This is Isar Metis, your host. And today I wanted to share with you something that I did just recently. I've done a workshop for a group of interior designers, architects, landscaping designers, and so on, and it was very well received and the feedback was fantastic. And I thought of sharing with you at least the highlights of that workshop, which was a few hours long and included to learn how to do each and every one of those things in more details, and we did a whole session about other stuff. But the guts of the design side of it is extremely powerful and it can be applied for more or less any kind of design work you do. And I know what you're thinking, "I'm not a design person, so this doesn't apply to me." Well, if you need to create any kind of graphics, whether it's for PowerPoint, for social media, for brochures, for PDFs, for your website, for whatever reason you need to create any kind of graphical design, this is going to be incredibly valuable to you. Now I know what you're thinking, "This is a podcast. I'm currently driving my car and I can't look at the screen, so what are you gonna talk about design?" Well, I promise you that you're gonna learn a lot even if you're not watching the screen. I will walk you exactly what's on the screen and why is it so powerful. And if you want to watch this, well, this is available first of all on Spotify as a video as well, but also you can check out our YouTube channel which is available in the link in the show notes. So let's get this started As I mentioned, the presentation was done to interior designers and architects and so on. That's why the focus is that. But I promise you that everything I'm showing, I will share how it can be used for other aspects as well. So the first example I want to share with you is the ability to take any 2D object and plant it in 3D environments. So there are multiple 3D environment design tools out there today, but in many cases, you wanna take a real object, something in this particular case that your client actually likes, that he found-- he or she found online, and you wanna plant it into your 3D environment that you can then screenshot, get design, render actual 3D outputs of it, and so on. In this particular case, what I've done is I've taken an image of a cool sofa off the internet, and I put it in two different tools. Why-- This is why you see two different options here. Uh, one of those tools is a free tool by Microsoft Copilot. So Microsoft Copilot has a 2D to 3D converter, and what it allows you to do is it allows you to drop in a 2D object, and then it runs through it for a while, and then it exports this 3D object. So in this particular case, you can see the sofa, and you can see that I can move it around and rotate it and zoom in and zoom out, and I can export that to-- in several different formats that then I can import into other 3D tools. Now, what you also can see is that while it's very good at capturing the essence of this, it is not highly accurate as far as the details and the fine, uh, look and feel of the actual object. So if you go back here, you can see the original ones have these little buttons and lines and so on, and the object inside of the Microsoft environment is not perfect. That being said, there are other tools out there today, and the coolest and best one that I found is called Meshy. And what Meshy enables you to do is basically the same thing, only Meshy is not a free tool. There is a free version. It is just limited with the amount of, uh, samples that you can create. But you'll be able to see now that it actually captures the details in significantly higher level, and it allows me to do the same thing. Again, rotate this back and forth. Now, because this tool is built exactly for that, meaning it is built to generate highly accurate 3D versions of a 2D image. It has a lot more functionality and layers and texturing and a lot of other capabilities built into it. And again, you can get it through the paid version and get all the different capabilities. But what it enables you to do is now I can take this 3D tool, and I can then go to any 3D tool out there. In this particular case, I've done a similar thing with a chair, like a little sofa thingy, and I can take it, create it in 3D, and then drop it into a 3D tool, even free 3D tool like SketchUp. So those of you who haven't done any 3D design ever probably are not aware of this, but SketchUp is a tool that Google has bought and integrated probably over a decade ago, maybe even two. And, uh, this tool is really awesome for 3D design, both internal and external or objects or anything you want. It is really easy to use, and many, many people use it today to create 3D designs. So what I've done is I've taken a picture of a chair from the internet. I converted it into 3D with Meshy, and then I'm able to drop it into my SketchUp design. So I'm taking a 2D image of an object I like and putting it into a highly detailed 3D environment. This by itself is really cool, but as you can see, SketchUp doesn't provide high-level, high-quality rendering, but it gives you just a solid idea of how things look like. However, there are other tools. In this particular case, I'm showing you another really awesome AI tool if you're into design that is called ReRender. And what I did here is I took the image from SketchUp, downloaded it, and upload it into ReRender. And in ReRender, I can now render a fully realistic view of the same thing. So a process that was not impossible but required a lot of design skills before goes from I see an image of something I like that I want to integrate into my design on the internet. I turn it into a 3D object. I can drop it into my 3D object environment in SketchUp or in any other tool. And then if that tool already renders fully high-resolution things, I can do that, or I can take it to a third-party tool like ReRender and then just drop it in there, and it will generate, as you can see, a highly realistic, beautiful photo of the environment I'm trying to create. This can be used for any kind of design, interior design, uh, buildings, objects, products that you want to sell. All these kind of things can be done in this methodology But then the next really cool process that I want to take you through in a little more detail is the process of going from inspiration for a design to a mood board to a final design. So those of you who are not familiar with the concept of mood boards, mood boards allow you to capture the essence of a style that you want. This can be used again for product development. This can be used for web interface development. This can be used for obviously interior design and landscaping design and so on. Now, the process works this way. Either you, if you like a specific style and you're trying to figure out what you want to do, or if you provide this as a service, then your clients will give you multiple images of things they like from the internet. You can do this with different tools by building boards, but you end up with a bunch of images of different things that you like, whether specific design features that you like or specific furniture that you like or entire rooms and styles that you like, and you now have a bunch of these things. Going from that to a mood board that captures the essence of it, including the textures and the materials and the colors and the layouts, is a work that used to take professionals a long time to capture the essence of it. Well, now AI knows how to do this very well. So in this particular example, what I took is I took X number of images off the internet and I dropped them into ChatGPT in this particular case. ChatGPT has a very powerful and very capable image generation, very good at reasoning and understanding what is it that you're trying to do So all I did is something really simple. I uploaded all the images. In this particular case, there are seven, but I could have uploaded a lot more, and I wrote the following prompt: "Create a photograph of an interior design mood board that incorporates elements from all the uploaded images. The mood board should be organized, thought out, and crafted like a professional interior design mood board for design purposes. You may minimally overlap elements when applicable and use design techniques like collaging and transparency. White background. Do not write any words yourself." And as you can see, or those of you who can see, it created a pretty cool mood board because it understands what a mood board is. It has all my inputs, and it knows how to pull specific elements from my initial images that it understands what the style that they all combine together looks like, and it generates a pretty good mood board. It has a color swatch on the right. It has different single individual components that it pulled out. It has materials and textures, and it has multiple examples, and they're elegantly blended together with a white background and no, no text as a re- as I requested. Now, this is just step one. Step two of this thing is saying, okay, let's say I have a mood board, and now I wanna apply that to different rooms in the house or to different... whatever it is that you're designing. This could be an office. This could be a yard. This could be anything else you want to design. And so I took, in the second step, the image of the mood board and added an image of an empty room, in this particular case, a living room, and the output is an incredible interior design that is fully aligned with the mood board. How did I do that? Well, same thing. In the same ChatGPT chat, I just continued and wrote the following prompt. So now I have the mood board, I added the image of the empty room, and I wrote, "Create an interior photograph of a room that incorporates interior design elements and furniture and decor from all the uploaded images. The photograph should be hyperrealistic and high quality. The lighting and mood should reflect the lighting and mood from the mood board and not from the current room image," because the current room image has a specific style, and I wanna create a new style. I continued with the prompt, "Keep the room identical to the image I uploaded, other than the lighting. Keep the aspect ratio of the current room image." And I got this incredible outcome that looks like a professional designer took the mood board and applied it to the room. Those of you, again, who are not watching, it took elements from the mood board, including the desk, including some decorative components, including the, uh, stuff that was on the wall, including the plants, and then it added the overall mood with earth tones and cushions and a sofa and a throw on and just applied it to the room overall, and it looks absolutely fantastic and professional. So it took elements that it found in the mood board and turned them into the final design of the room. All with ChatGPT, all in a few seconds, all with just a simple prompt that I just gave you. But if you need to do this at scale, this will take you a lot of time every single time. And if you need to do this on regular basis and not once, then there is a much better way to do that. So let's learn that other way. That other way is a tool called Figma Weave. It's a platform that used to be called Weavy until Figma bought them and turned them into that. Those of you who are watching the screen, you can scan the QR code to go to that platform. Those of you who are listening and want to see that platform later on, there's gonna be a link in the show notes to go to Figma Weave. But, uh, what this tool can do is it allows me to build these workflows. In this particular can-- In this particular case, the workflow does exactly what we did with ChatGPT, only it is pre-built. What do I mean by pre-built? I can upload a new batch of photos, click Go, and it will run the entire process. In this particular case, I've done two things that are slightly different. I've made the prompts a little more detailed because they need to be more generic because I really don't know which images people are going to upload. So I've, I've have some more detailed, uh, prompts, and I also connected more than one image generation tool to create two different variations, in this case, of the mood board. So how does Figma Weave works? The way it works is you have these boxes that are connected on a canvas that you can drag and drop. So you can see every one of these boxes, I can grab it and move it around, and they're connected with lines that basically shows you how the data is flowing. So some of those elements have just an output, some have an input and an output, and so on. So how does this thing work? And I'll explain what we see on the screen, so those of you who are just listening can understand. On the left, I have the seven-- the same seven images as before, and they are just input images. And to create these input images, I can just right-click, and then it opens a menu of all the different things that I can choose, and then I can put it in, or I can just drag images from my desktop or files and folders straight into here, and it uploads them into the canvas. Then what I had to do is connect the lines from those into an image generation tool. In this particular case, I took two different options. One of them is Seedream 4.5 Edit, and the other is Gemini 3 NanoBanana Pro. Why did I choose those? Because both these models can get as input multiple images and still work with that. How do I add one of those nodes, one of those boxes? Again, just by right-clicking, and then here you can see that I have multiple different options, including, uh, tools. And in the tools, I've got editing tools, I've got text tools, I've got interiors, I've got helpers, I've got image models, I've got video models, I've got 3D models, I got audio models, I got custom models. All of these are here, and so I can pick and choose here or go on the left side menu. There's a menu that does something very similar. The only difference in the left side menu, if I go to images and I put my mouse over one of the image generation tools that they have, it gives me a little cheat sheet that tells me which model it is and what does it know how to do. So you can see there are more or less every image generation tool in the world is in here, so I don't have to get specific licenses for them. I just stay within the Figma Weave environment, and I can get access to all these tools. And the way I've built this is each and every one of the two models that I connected, again, one of them is Seedream four-- 4.5 and the other is Gemini 3.0 Nanobana Pro. Uh, each and every one of them got as inputs the seven images. And again, how did I connect the seven images? It's as simple as dragging a line. You connect the line from one to the input of the other, and now it's connected as a source. And the other thing that image generation models need is a prompt. So I have a separate box that is called a prompt, and in there I have a, like I said, a much more detailed prompt than before, but that's all I have. It's a prompt. How did I create the prompt? I've used a third-party tool, probably Claude or ChatGPT, to help me write a better, more generic prompt. But you can see that with the same prompt, using two different image generation tool with the same input images, again, just by dragging lines from one to the other, I got two really good, really solid mood boards that are very different in their setup, but very, very similar from a design and style perspective. Both of them have textures, both of them have elements, both of them have images, uh, both of them have materials and specific elements that it pulled out. I must admit that I like the Gemini one better. I think it looks more professional and more detailed, but both of them are very good Then what I did is now I went to NanoBanana in this particular case just to show you that this is possible. And in this particular case, in the next step of NanoBanana, I connected two things. I connected my recently generated mood board that is now an item inside my canvas. So I have a box that is the mood board. I connected the output of that to the input of NanoBanana, and I also connected as a second input the image of the empty room. So I have two sources connected to NanoBanana, again together with a prompt. The prompt is slightly more detailed than we've seen before, but you can see it generated it, and it looks absolutely amazing. The cool thing about this versus doing it, doing it in ChatGPT is a few things. One, this process is now a machine that does it. If I want to put in new inputs and just run it again, I will get a completely different output. So those of you who are watching, I will show you a second example that is the same exact process. I just uploaded several different images. So the first one was very much earth tone, laid back, uh, modern style. The second one has a very poppy color kind of scheme. It has bright yellows, it has lime greens, it has orange, uh, it has pink, and so it's much more lively. And you can see that the machine generated completely different mood boards. Again, both of them are really good, both of them from the same models. I connected the same room as before, and I got a very different image that uses that style, that looks really cool, very colorful, very poppy, and uses components from the mood board. Now, the other benefit of doing this not in ChatGPT is when you run the model, you can tell it how many times to run it. So when I click on any of the boxes, if it's an image generation model, video generation model, anything else that I'm doing, on the right side, it opens a menu for me where I can define, uh, many different capabilities. In this particular case, I can define the resolution, so 1K, 2K, or 4K. I can define the aspect ratio or what I want it to be, and I can define how many runs to run it, and it tells me how many credits it is going to consume. So if I want X number of options that will all be based on the same thing, all I have to do is select the number of runs and then hit Go. And again, that becomes the default, and I can run it again and again as many times as I want. So down here, you can see six different variations of the same room, all with the same color styling. So different colors of the walls. It changes different images in the background, different furniture, but all very obviously following the same exact style. And so if I want for myself to figure out different options for design of anything, and again, this doesn't have to be interior design. This could be for designing a webpage, and I wanna see how the webpage will look like in several different formats or several different styles or several different color schemes and so on. I can do this with this tool. The same thing for a brochure I wanna design, the same thing for a proposal I wanna create, and I wanna create a cover. Whatever the case may be, uh, you can create it with this flow, and every time you put in new inputs, you run the whole thing. You're gonna get X number of variations of the output, depending on what you define This is taking a process that used to be manual and took literally days to seconds, and it is really, really affordable too. So you're buying tokens, and then you're just consuming your tokens or credits in this particular case to create whatever outputs you want. So a fully automated design process that I can now put different inputs and get different outputs Now, while this tool is really, really awesome, and like I said, it has integrated all the different image generation and brain generation and prompting and, and video and audio and all these other things, it can be used for a lot more than just interior design. So I wanna give you six different examples. Most of them are design related because again, this piggybacks on a workshop that I did. But I will give you two examples that have nothing to do with interior design and have to do with different types of promoting a product, whether you're selling things online, whether you're selling things in an actual shop, and you need to promote them in different ways online and so on. So the first one is what I call sketch to video. And what I mean by that is, in this particular case, I took a third-party tool that works in a CAD tool. So what it does is it knows how to take a sketch that was done by hand of a room. So this is, uh, those of you who again are not watching, there's a fast-running person that is sketching on a paper an interior design with a bunch of rooms and a bunch of furniture. But then using AI, this hand-drawn, kinda like back of a napkin interior design, turns into a fully 3D-rendered object inside of a true design tool. And this doesn't actually change the design tool. This is a design tool that a lot of people are using. This is just an AI plugin that connects on top of it and knows how to take the flat 2D, uh, hand-drawn thing and turn it into a 3D rendering that then you can move around because it becomes an actual object inside of this tool. But what I did then is I took the output of that, so a screenshot of the 3D object, and I created a promotional video for something completely different using that 3D model. So I went from a flat back-of-a-napkin sketch on paper to a fully rendered promotional video, in this particular case, for high-end speakers. Now, I'm gonna hit play. You're gonna hear the music if you're just listening, and I'll walk you through what it's showing So it's starting with the actual 3D model, but then it goes into the room. It now, in real time, furnishes the room. So it looks like a professional, beautiful designed room, and a beautiful young couple walks in the door, and they're sitting on the bed. The camera is rotating around towards the other side of the room, and then a couple of speakers show in, and it turn into this design, and then that turns into a promotional, uh, ending that says who is the vendor of the speakers and so on. And all of that was created inside Figma with into... including the music, including the sketches, including everything. So this is one example of what you can do with this tool. Another example is architectural angles. In this particular case, what I did is I took, uh, an original image of a room, and then just by giving it prompts, and the way it works is exactly like before. I have a image of a room with all its different components, and then all I did is told it how to change the angle. So the model, the, the image generation model in this particular case, is Seedream version four edit, and then it gets as inputs two things. One input is the actual original image, which is a eye-level view of the room, and I wrote as the prompt, which is the second input, "Change the camera angle of this shot to a high-angle shot." And it gives me the high-angle shot of that room, and everything else stays exactly the same, the lighting, the furniture, the accessories, the cushions on the sofa, the rug. Everything stays the same, just the angle changes. And then I've did this multiple other times. A few of them are really, really cool. In the second one, I ask it to give me a close-up of the kitchen table, and it did. So in the original image, the kitchen table is really far in the back after the living room, and in this image, I've got a close-up image in an angle of the actual kitchen table with the flowers, with the sink, with the, uh, bowl of fruit that is on it. Everything is kept the same, just a really good close-up image of that. In the second one, I created, like, a cropped image. I put a square around a section of the original image. I didn't actually crop it. I just highlighted the section that I want, and the prompt was to give me a frontal, uh, shot of the couch, rotate the camera 90 degrees left. And then I got the outcome that actually looks straight at the sofa and the, uh, window behind it with all the different components, and it looks perfectly realistic and so on. And then in the last one, I combined two images that I had. One is the high shot, and one is the zoomed image, and I combined it into a video model, in this particular case, Kling 2.1 And I wrote a simple one-line prompt that says, "Camera dolly in from the living room to the kitchen." And what it's doing, it's showing, think about a very slow drone shot that goes from a top view of the room, sliding slowly forward into a perfect close-up view of the kitchen, uh, table, which were the two original image that I gave it as the starting point and the ending point. So Kling 2.1 is one of the tools that knows how to take a first frame and a last frame as the inputs, uh, when it comes to generating videos. So it knows how to take both of those and creates a really amazing, beautiful shot that you can show somebody the design of their house, or like I said, anything else you want. This could be a website, this could be a product, this could be whatever else you want, and you can generate all of these things. But as I mentioned, in addition to all these cool things, if I'll put in... If I'll drop in another image in the source, the very first image that showed the room, as long as the room has a kitchen table, because otherwise, uh, one of those prompts won't make sense, I will get all these outcomes with a single click without having to do anything about this ever again. Uh, and then obviously, I can take and add other components in the room and continue the motion, the other video going into other shots, so it can continue the flyby if you want a drone shot inside the house to show more and more components. Another use case that is really cool is, in this particular case, I took a image of a 3D wireframe from the internet of a house design, and I've asked AI to generate multiple outcomes of it, including like a hand-created, house, like a little carton board like architects do as to show what the project will look like. And then I took a image of an actual house in the world and have it blend together and work together. This particular example is based on a workflow of a guy I follow online. So it's not my workflow. I just played with the details a little bit. But what it enables to do... And that's, by the way, the other cool thing about Weavy is that there are a gazillion examples on how to do things online, and most of these allow you to copy and paste the template. So in this particular case, this is what I did. This is not my workflow. I made minor changes to the workflow, but I was able to take the-- a new image that I like of a different house online and place it in an actual street and get to a professional high-resolution image with, uh, people walking on the sidewalk and a car and a beautiful evening lighting showing this new house in a location where, in reality, right now, a different house exists. And one of the things that you can see here is that I have two versions of the same image because one of the or several of the models that you have here are upscalers. So you can create an image, and then you can upscale the image. So in this particular case, the original image is 1184 by 864, so still a decent resolution, but nothing great. And the second image is 2368 by 1728, so a much higher resolution. And it just-- it doesn't just increase the resolution, it adds a lot more detail to the image. So you can see that the image itself looks a lot more photorealistic, uh, in this case, using Magnific upscale. And you don't, again, need any of these. All you have to do is if you wanna upscale something, is get the output from the previous one. It will open the search box for you. You click upscale And then it gives you all the upscaling tool that it has. You select the one that fits your budget when it comes to how many tokens it's going to use, or you choose all of them, and you try it out, and you pay a few more cents, uh, to get all the different options, and then you'll know which one works better for your particular use case. Let's look at another quick use case. the next one is an object placement. So in many cases, as we did before, I wanna take an object and place it in a 3D environment. The problem that you have in many cases is that the image of the thing you wanna place is in the wrong angle, meaning it is a image of a house or a street or a car or a whatever the environment is, and the object that you have, which is a 2D object coming off the internet, the angle doesn't make sense. It just looks weird if you're just gonna paste it, even if you have Photoshop and even if you can do the shadows, but just the angle doesn't work. So what I did here is I took an image of a room, just a random room, and I took an image of a product, and I can place it and resize it and place it in that product. But the second step is the really cool, interesting step. There are tools built into Weave that allows you to take a 2D image and turn it into a 3D object. So what I did here is exactly that, is I took an image of a 2D object, in this case a speaker, and then I put it into this tool that is called Rodin 3D version two, and I can now rotate this around and turn this and move this and zoom in and zoom out, and I can put it in an angle that will make sense for the placement that I wanna make. And then I take the output from that, and I can place it in the room, and because it renders it with a image generation model, it knows how to blend it perfectly and creates the shadows and everything. Stuff that used to take hours to get correctly in Photoshop, I can do with two clicks, and in this particular case, almost fully automated. The only thing I need to do is to select the new thing I want to place or whatever sets of speakers or whatever sets of furniture or whatever set of whatever you want to place in an image, and then rotate it into the right orientation because the 3D model will give me that, and then the export of that becomes the input to render the final image. So this is another way to do, uh, this. Another one that I really, really like as a use case is is promoting products. Now, when you have products to promote, whatever the products is, it could be something small that is handheld, could be in this particular case a car What I've done in this process is I've taken four images of a car. Why four images? Because then the tool doesn't have to guess how it looks like from all directions. So in this particular car, I got-- And all of these images I got from the internet, so I didn't have to take any pictures. But there's a 45-degree angle from one side, there is a front view, there's a real-- a rear 45 angle, and then there's a side view of the vehicle, so it knows how it looks like from all directions. And what I asked it is to create a prompt explaining exactly what that thing is. So again, this is a function of Weavy, or like I said how it's called today, Figma Weave. So what it does is it tells me what's in the images. So it just creates a description of what's in the images, so now it knows what it is. And then what I created is I created a prompt that tells it to create prompts. So let me explain what this prompt does. It says, "Describe 10 distinct 16 by nine new scenarios for the scene, each with a different environment. Each should be a description of a potential ad. The car must be the same exact car in all images. The goal is to think of different use cases that will show the value of this car. The scenario needs to be captured to capture the imagination and attention of relevant target audiences." And then it goes on and on and on. So basically, what it's asking an AI to do is to come up with scenarios on how this particular model of car can address the needs of specific audiences, and then that's what it does. So again, I don't tell it what car it is, but because one of the inputs that it's getting is the description that the the previous step generated together with the images of the car, it knows how to write its own prompts. So what it did is it generated 10 prompts. The first one it says, "The vibrant green transit custom, custom MSRT navigates a scenic mountain road at sunset. Captures from a three-quarter front angle. A professional mountain biker gear is uploaded, uh, uploads equipment from the rear doors with his bike mounted on top. Golden light bathes the landscape as rocky peaks loom in the background, emphasizing adventure and accessibility in one powerful package." This is an awesome prompt that I didn't write. And then there's nine others that are very different from one another, and then Figma Weave knows how to break it down into individual prompts, and then it applies all these prompts to individual agent, uh, to individual image generation models. So what you can see if you're watching the screen, I have an image, and they all look perfectly photorealistic because you've seen how accurate and how lively the description in the prompts are. So I have one image of a bunch of young guys in their surfing suits, uploading boards into the back of a-- this van next to the beach or on the beach next to the sea. Then there's an image of the same car driving through the forest in the evening or early morning light with gear on top of it as it's going through a puddle and spraying, uh, water to the sides. Then there's an evening image of something that looks like a Christmas market with a person in the van selling stuff out of the van. Then there's an image of a band uploading the gear to a gig from the van. Then there's an image of a bunch of people in a picnic overlooking a very beautiful, uh, scenic view. There's actually two of these cars parked one next to the other with a lot of gear in one of them, uh, and so on and so forth, and including the image that we talked about before with the guy up in the mountains uploading his gear through the back door with his mountain bike on top. Now, to make it even more fun, I then ask it to create scripts for videos based on these images. So I can connect any one of these images to the same thing. It's a generic description that asks it to create the prompts for the video, and here I can show you an example. Again, those of you who are watching, uh, showing the guy as he's uploading the gear. The camera is panning out and rotating into this, like, uh- drone shot that is starting very close to the van and rotating around and showing the really beautiful mountain area that he's in. I didn't write the prompt, and I obviously did not create the video. Uh, it's all done automatically because it understands what is the scenario in this particular image, and then it understands what might be a good shot for it, and I can run it as many times as I want and create multiple variations of it. And as I mentioned, the cool thing about this whole process is if I replace the original four images on the left side of this flowchart, this automation, with a different car, I will get 10 new variations of the images that will be relevant to the new type of car instead of this van, and it will generate the videos as well, all in a few seconds without me having to do anything And then the final example I wanna give you is a interior room redesign. So what I did here, and again, this is another example that I found online that is available and you can download and use, is it's showing an interior design of a room, and then in every step, it adds a prompt and the previous image, and it makes more and more changes to the room. So in step one, it removes the colorful floor that is there. In step two, it is adding a different type of floor just by getting an image off the internet of these colorful, uh, decorative tiles. Removes... Then it removes the mirror from the wall, adds a window instead of a mirror, and so on and so forth. Every step just changes one thing in the image. And again, this just shows you the variety of tools that exist here, from masking to deleting, to grabbing specific objects, to removing or editing these objects while keeping everything else consistent. Again, the Figma Weave doesn't generate the images. It connects to every image generation tool and every image editing tool out there, and it allows you to build workflows from them to do anything you want So what's the bottom line of all of this? The bottom line of all of this is if you need to create any kind of design for anything, whether it's marketing, internal reasons, design, design for yourself, you're thinking of renovating something, or if you have a professional need to do this at scale, Figma Weave is a really easy-to-use tool that once you understand the logics, allows you to do really magical things, and it has a huge community that shares really cool processes that you can literally copy and paste either the entire process or just one component. So let's say you wanna learn how to do the 3D placement that I've done. Well, you just have to find a process that does it and grab just that section, and then use that in your workflow together with other sections you copied from other people who are doing other things. So you can use, let's call them Legos from other people, to build your Lego final creation to do literally anything you can imagine that has to do with generating images, videos, with or without music, uh, based on anything you want, either regular inputs, just text or videos or images or whatever you need extremely quickly with very little professional skills and really cheap because you're just paying for the tokens you use. There's no membership, there's no anything like that. I hope you found this extremely valuable. I promise you that playing with this tool is gonna be really, really fun for you to do because it can do really cool stuff across any design or creative work that you want to do. Uh, that's it for today. We'll be back on Saturday with another update on what is going on currently in the AI world. Have an amazing rest of your day.