Blender Noob vs PRO: Stop Aligning Objects Manually! 🤯 Quick & Easy || #blender #3d #tutorial #cgi
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YouTubeShort Render
Blender Noob vs PRO: Keep Offset When Selecting! 🤯 Quick & Easy! || #blender #3d #tutorial #cgi
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YouTubeShort Render
Sino sabes usar ningún software de diseño (para planos, renders, modelos 3D) usa la IA, (como @SUAPP AI) enfocada al diseño para plasmar tus ideas. Yo la estoy empezando a aprender y te estaré compartiendo todo para que tu igual lo aprendas. #procesocreativo #arquitectura #render #iaarquitectura #planos
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Sino sabes usar ningún software de diseño (para planos, renders, modelos 3D) usa la IA, (como @SUAPP AI) enfocada al diseño para plasmar tus ideas. Yo la estoy empezando a aprender y te estaré compartiendo todo para que tu igual lo aprendas. #procesocreativo #arquitectura #render #iaarquitectura #planos
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This is how I create traditional ashlar lines in lime render 👌 Every line is individually measured, levelled and hand-cut while the lime is at exactly the right stage — too wet and the edges won’t hold, too dry and you’ve missed your chance. It might look simple when it’s finished, but getting long, straight, consistent lines across an entire elevation takes a fair bit of setting out and patience. No stick-on profiles and no fake joints — these are cut directly into the lime render by hand to r
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fractal zoom pt. 14 #edit #fyp #viral #fractal #fypシ The Mandelbrot set is one of the most celebrated and visually striking objects in modern mathematics, serving as the quintessential example of what scientists and artists call a fractal. In simple terms, a fractal is a geometric shape that possesses infinite complexity and a property known as self-similarity, meaning that its overarching patterns tend to echo and repeat themselves across different scales. While familiar shapes like circles or
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A CPU and a GPU can be given the same visual task — but they approach the work very differently. In this demo, the Mona Lisa is rendered pixel by pixel to show the contrast. A CPU handles a smaller number of complex operations extremely well, while a GPU is designed to process thousands of simpler calculations in parallel. That parallelism is why GPUs are so important for graphics, scientific computing, and modern AI workloads. In the demonstration, the GPU completes the Mona Lisa render in just
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