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Wondering how to improve your toon model lighting? Here's a quick hack i figured out. Just add some basic bounce lights! Featuring jinx as my muse. -- #jinx #arcane #leagueoflegends #riot #handpainted #stylized #toon #lowpoly #3d Blender 🔶 #blender #3DModeling #characterart

Cherylynn Lima

14,651 subscribers

32,419 次观看 • 1 年前 •via X (Twitter)

游戏 #jinx #arcane #leagueoflegends #riot #handpainted #stylized #toon #lowpoly #3d #blender #3DModeling #characterart

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Wanna learn how to paint in Arcane's style? I share my tips as an illustrator & AAA 3D artist! All done in Blender. --- #arcane #lowpoly #jinx #stylized #toon #blender @blender #handpainted #LeagueOfLegends #3dmodeling #gamedev #characterart #3dart

Wanna learn how to paint in Arcane's style? I share my tips as an illustrator & AAA 3D artist! All done in Blender. --- #arcane #lowpoly #jinx #stylized #toon #blender @blender #handpainted #LeagueOfLegends #3dmodeling #gamedev #characterart #3dart

Cherylynn Lima

35,333 次观看 • 1 年前

I think I got Jinxed guys -- 100% created in Blender. I put my a month's worth of my soul into making this Jinx Fanart bc I adore Jinx's character. ...& you BET I have tutorials planned for this one baybeee (More shots & breakdowns on Artstation: -- #jinx #arcane #fanart Riot Games Arcane #handpainted #stylized Blender 🔶 #blender #3dmodeling #arcane #stylized #toon #lowpoly #gamedev #animation #characterart #3dart #3danimations #LeagueOfLegendsFanArt #LeagueOfLegends

I think I got Jinxed guys -- 100% created in Blender. I put my a month's worth of my soul into making this Jinx Fanart bc I adore Jinx's character. ...& you BET I have tutorials planned for this one baybeee (More shots & breakdowns on Artstation: -- #jinx #arcane #fanart Riot Games Arcane #handpainted #stylized Blender 🔶 #blender #3dmodeling #arcane #stylized #toon #lowpoly #gamedev #animation #characterart #3dart #3danimations #LeagueOfLegendsFanArt #LeagueOfLegends

Cherylynn Lima

32,067 次观看 • 1 年前

Got LOTS of questions about how to achieve the hard surface/handpainted arcane look. So here's a real time, mini tutorial showing my thoughts! Let me know what you think :) All in one layer in Blender, obviously 🥵 --- #arcane #handpainted #blender Blender 🔶 #lowpoly #toon #gun #hardsurface #3dmodeling #handpainting #stylized #LeagueOfLegends #3dart #3dartist #characterart #modeling #3d #3DModel #characterdesign #gamedev #gamedevelopment

Got LOTS of questions about how to achieve the hard surface/handpainted arcane look. So here's a real time, mini tutorial showing my thoughts! Let me know what you think :) All in one layer in Blender, obviously 🥵 --- #arcane #handpainted #blender Blender 🔶 #lowpoly #toon #gun #hardsurface #3dmodeling #handpainting #stylized #LeagueOfLegends #3dart #3dartist #characterart #modeling #3d #3DModel #characterdesign #gamedev #gamedevelopment

Cherylynn Lima

41,039 次观看 • 1 年前

Another cool method to add some life to your toon models-- if you add in a red value between your light and shadow, you get a really beautiful red strip that makes them feel super alive -- #blender @blender #lowpoly #toon #3d #3dmodeling #arcane #handpainted #stylized

Another cool method to add some life to your toon models-- if you add in a red value between your light and shadow, you get a really beautiful red strip that makes them feel super alive -- #blender @blender #lowpoly #toon #3d #3dmodeling #arcane #handpainted #stylized

Cherylynn Lima

48,939 次观看 • 1 年前

LEARN HOW TO MAKE EYE SHINIES REALLY QUICK I PROMISE -- #blender3d #stylized #toon #arcane #lowpoly #anime #tutorial Blender 🔶

LEARN HOW TO MAKE EYE SHINIES REALLY QUICK I PROMISE -- #blender3d #stylized #toon #arcane #lowpoly #anime #tutorial Blender 🔶

Cherylynn Lima

92,290 次观看 • 5 个月前

Discovered a neat hack to add light & color to my scene! Basically using background nodes and gradients to have manual control. Check out this tutorial I prepped for it :) Pls boost if you found it useful!! More like this on my youtube~ -- #3dart #stylized #howl #HowlsMovingCastle #studioghibli #3dmodeling #lowpoly #toon #3d #gamedev #blender Blender 🔶

Discovered a neat hack to add light & color to my scene! Basically using background nodes and gradients to have manual control. Check out this tutorial I prepped for it :) Pls boost if you found it useful!! More like this on my youtube~ -- #3dart #stylized #howl #HowlsMovingCastle #studioghibli #3dmodeling #lowpoly #toon #3d #gamedev #blender Blender 🔶

Cherylynn Lima

19,354 次观看 • 1 年前

RT to save a 3D Artists life!! Frustrated with overlapping shapes when you're rigging? Me too!! Here's a tip I learned at Bungie on Destiny 2. It's simple but it's saved me some headaches. --- #blender #tutorial #3d #lowpoly #toon #stylized #3dmodeling #gamedev #rigging

RT to save a 3D Artists life!! Frustrated with overlapping shapes when you're rigging? Me too!! Here's a tip I learned at Bungie on Destiny 2. It's simple but it's saved me some headaches. --- #blender #tutorial #3d #lowpoly #toon #stylized #3dmodeling #gamedev #rigging

Cherylynn Lima

14,304 次观看 • 1 年前

Not bad! 2K triangles and a bit of manual cleanup. This was a quick test creating a lowpoly 3D model. Tried Tripo for retopology and it did a good job. It does render some inverted normals though. For this lowpoly model it’s fine but inverted normals are a pain when working on highpoly models. I’m going to test some other options like the remesh tool in Blender sculpting. It’s crazy how this Trellis Texturing node works btw, It understands the geometry very well. Watch the end where I made the worst version of an Axe in Blender and it was able to wrap the texture on that model! I would probably spend a bit more time splitting the image up and generating the main parts separately. Also making any signs readable or just remove them.

Not bad! 2K triangles and a bit of manual cleanup. This was a quick test creating a lowpoly 3D model. Tried Tripo for retopology and it did a good job. It does render some inverted normals though. For this lowpoly model it’s fine but inverted normals are a pain when working on highpoly models. I’m going to test some other options like the remesh tool in Blender sculpting. It’s crazy how this Trellis Texturing node works btw, It understands the geometry very well. Watch the end where I made the worst version of an Axe in Blender and it was able to wrap the texture on that model! I would probably spend a bit more time splitting the image up and generating the main parts separately. Also making any signs readable or just remove them.

Jerome | InsaneUnreal

15,052 次观看 • 7 个月前

I FINALLY managed to create a point cloud animation 💪 Here is how I did it using #GaussianSplatting, #Blender and 2 add-ons from KIRI Engine - 3D Scanner App . Creating point cloud animations has always been a dream of mine (inspired by masters like ), but the tech to create the point clouds and visual effects was always a huge barrier. Then I discovered these 2 Blender add-ons from Kiri engine after I had a chat with Jack Wang in my podcast, and it changed everything: 1- Create a splat with any tool or app you want 2- Install the free "Point Animate" add-on in Blender 3- Drag the 2 .ply you want to morph from --> to 4- Set source and destination in the add-on side panel At this point you could play around with various settings like noise scatter, noise intensity, wind and more. If you want to combine with the splat as well you can get also the 3DGS render to add cool dissolving effects, fancy lighting and really get the most out of your scans. If you end up using it please tag me. I am curious to see what much more skilled people than me can put together 😉

I FINALLY managed to create a point cloud animation 💪 Here is how I did it using #GaussianSplatting, #Blender and 2 add-ons from KIRI Engine - 3D Scanner App . Creating point cloud animations has always been a dream of mine (inspired by masters like ), but the tech to create the point clouds and visual effects was always a huge barrier. Then I discovered these 2 Blender add-ons from Kiri engine after I had a chat with Jack Wang in my podcast, and it changed everything: 1- Create a splat with any tool or app you want 2- Install the free "Point Animate" add-on in Blender 3- Drag the 2 .ply you want to morph from --> to 4- Set source and destination in the add-on side panel At this point you could play around with various settings like noise scatter, noise intensity, wind and more. If you want to combine with the splat as well you can get also the 3DGS render to add cool dissolving effects, fancy lighting and really get the most out of your scans. If you end up using it please tag me. I am curious to see what much more skilled people than me can put together 😉

Gabriele Romagnoli

10,392 次观看 • 1 年前

I can finally announce the project I've been working on with Joce ! Fondant is building a new app that brings avatars and vtubing to Web. Multiplayer lobbies for vtuber streamer collabs or just hangouts with friends, as well as character customization tools building up to a full creator. We are using a WebGL and WebGPU techstack, so part of the point is to provide a cross-platform alternative to the current Unity based app ecosystem, and also to build tools that people can use to create or modify characters without going through a DCC (Blender, Maya, etc). For now we're starting with the basics: multiplayer lobbies, VRM support, and some tools like merging accessories into existing VRMs in the quoted post, and transferring Custom Vertex Normals from proxy meshes. My role is stylized shaders and procedural character creation. I've been working on NPR Shaders and tools to help build and customize 3D anime characters in Blender for years. With WebGPU, we can bring it into Web. My hope is to build a full character customization system for the Web with next gen toon shaders, and also a matching set of tools in Blender for serious content creators. But it is early days still, and there's a lot to be done! Here's the latest WIP of the rig for fitting proxy meshes to new faces.

I can finally announce the project I've been working on with Joce ! Fondant is building a new app that brings avatars and vtubing to Web. Multiplayer lobbies for vtuber streamer collabs or just hangouts with friends, as well as character customization tools building up to a full creator. We are using a WebGL and WebGPU techstack, so part of the point is to provide a cross-platform alternative to the current Unity based app ecosystem, and also to build tools that people can use to create or modify characters without going through a DCC (Blender, Maya, etc). For now we're starting with the basics: multiplayer lobbies, VRM support, and some tools like merging accessories into existing VRMs in the quoted post, and transferring Custom Vertex Normals from proxy meshes. My role is stylized shaders and procedural character creation. I've been working on NPR Shaders and tools to help build and customize 3D anime characters in Blender for years. With WebGPU, we can bring it into Web. My hope is to build a full character customization system for the Web with next gen toon shaders, and also a matching set of tools in Blender for serious content creators. But it is early days still, and there's a lot to be done! Here's the latest WIP of the rig for fitting proxy meshes to new faces.

aVersionOfReality

65,803 次观看 • 1 年前

GPT Sol is the first model that has been able to work in 3D Unity/Blender basically autonomously. Since Sunday, I have had an agent building out a noir mystery game from a plan.md. The idea is to have the "voice in your head" be an AI agent trained on noir mannerism and each NPC will be a unique fine-tune for open ended voice conversations. Sol has created the pre-art, built the levels and rigged the characters. Still really rough but amazing how far we have come in a couple years as I watch it build while I do my work on another monitor. Praying for more resets so it can keep working through the week.

GPT Sol is the first model that has been able to work in 3D Unity/Blender basically autonomously. Since Sunday, I have had an agent building out a noir mystery game from a plan.md. The idea is to have the "voice in your head" be an AI agent trained on noir mannerism and each NPC will be a unique fine-tune for open ended voice conversations. Sol has created the pre-art, built the levels and rigged the characters. Still really rough but amazing how far we have come in a couple years as I watch it build while I do my work on another monitor. Praying for more resets so it can keep working through the week.

Nomads & Vagabonds

115,083 次观看 • 1 个月前

Here is the Geometry Nodes Weighted Normals with Laplacian Blur on a full character (a vroid). It easily improves the shading even on game topology with almost no setup. I built this as part of my quest to improve real time toon shading. 3D anime models are popular, but use of dynamic light is rare even among high quality vtuber models. This is for several reasons, but a big one is simply that it takes a lot of Custom Normals work to make 3D cel shading not look like a jagged mess (other pieces of the puzzle are issues like deformations, multiple lights, etc). And fixing Normals is tedious, especially on existing game topology. I have focused on proxy meshes for priority areas like character faces, but they aren't an efficient solution for the whole body + outfit. I wanted something I could just throw on any model and make it at least not a jagged mess anymore even if it wasn't perfect. As you can see from this clip, this does that very well! And vertex groups can be used to control the style of the effect and power. It still can't smooth beyond what the topology density can support, but the topo itself is no longer a problem (for higher res, could be run on a subdivided version of the model and then baked to a Normal Map.) The only changes I made to this model were adding a weld modifier to merge split edges during interpolation, and a vertex group to select the skirt. I have not yet added full handling and logic for detecting edges with big angles like the skirt, or for handling boundaries like on the hair, so both those areas can get better too. You can also see that while it successfully smooths out the Face, it isn't really stylistically correct there. That is still best done with a proxy mesh to define a new shape. This is part of the tools I am working on for Fondant. We are putting together a Blender Addon to release this + a proxy mesh tool for the face, and are working on resolving other problems in-engine to fully bring dynamic light to real time 3D toon shading. Give us a follow, and send them a DM if you are interested in testing these tools as they develop!

Here is the Geometry Nodes Weighted Normals with Laplacian Blur on a full character (a vroid). It easily improves the shading even on game topology with almost no setup. I built this as part of my quest to improve real time toon shading. 3D anime models are popular, but use of dynamic light is rare even among high quality vtuber models. This is for several reasons, but a big one is simply that it takes a lot of Custom Normals work to make 3D cel shading not look like a jagged mess (other pieces of the puzzle are issues like deformations, multiple lights, etc). And fixing Normals is tedious, especially on existing game topology. I have focused on proxy meshes for priority areas like character faces, but they aren't an efficient solution for the whole body + outfit. I wanted something I could just throw on any model and make it at least not a jagged mess anymore even if it wasn't perfect. As you can see from this clip, this does that very well! And vertex groups can be used to control the style of the effect and power. It still can't smooth beyond what the topology density can support, but the topo itself is no longer a problem (for higher res, could be run on a subdivided version of the model and then baked to a Normal Map.) The only changes I made to this model were adding a weld modifier to merge split edges during interpolation, and a vertex group to select the skirt. I have not yet added full handling and logic for detecting edges with big angles like the skirt, or for handling boundaries like on the hair, so both those areas can get better too. You can also see that while it successfully smooths out the Face, it isn't really stylistically correct there. That is still best done with a proxy mesh to define a new shape. This is part of the tools I am working on for Fondant. We are putting together a Blender Addon to release this + a proxy mesh tool for the face, and are working on resolving other problems in-engine to fully bring dynamic light to real time 3D toon shading. Give us a follow, and send them a DM if you are interested in testing these tools as they develop!

aVersionOfReality

14,679 次观看 • 1 年前

You really shouldn't buy a movie ticket before experiencing the view from your seat ☠️ Introducing Vantage. A prototype for a more immersive movie ticket booking experience where you can explore the entire theatre in 3D, switch between seats, and preview the movie from your exact view!! Built entirely with Three.js using Claude Fable 5 + Opus 4.8 (had to save some tokens so). I spent some extra time on this because I wanted to add more theatre layouts and see how far the idea could go. You can see there are four different theatre with different seat arrangements that render realtime. And that's not a model. Pure classic geometry. I also experimented with Blender to build better theatre interiors, seats, and other details using some cheap free 3D models creations. Result is not bad but it can be even better further. Overall, it's just playing out so nicely. You can also switch between different trailers and see feel how it looks. I genuinely think this is where movie ticket booking UX should be headed. Every ticketing app should let you experience your seat before you buy. This is kind of future we all need. Let's do it. Live: Code:

You really shouldn't buy a movie ticket before experiencing the view from your seat ☠️ Introducing Vantage. A prototype for a more immersive movie ticket booking experience where you can explore the entire theatre in 3D, switch between seats, and preview the movie from your exact view!! Built entirely with Three.js using Claude Fable 5 + Opus 4.8 (had to save some tokens so). I spent some extra time on this because I wanted to add more theatre layouts and see how far the idea could go. You can see there are four different theatre with different seat arrangements that render realtime. And that's not a model. Pure classic geometry. I also experimented with Blender to build better theatre interiors, seats, and other details using some cheap free 3D models creations. Result is not bad but it can be even better further. Overall, it's just playing out so nicely. You can also switch between different trailers and see feel how it looks. I genuinely think this is where movie ticket booking UX should be headed. Every ticketing app should let you experience your seat before you buy. This is kind of future we all need. Let's do it. Live: Code:

The Bugged Dev

22,488 次观看 • 1 个月前

fine, i'll build it myself, open source ofc Launching Three-Maps, a rapid blockout editor for building game maps for threejs games: Create a floor plan in 2D, automatically generate 3D levels from it, edit them, export to .glb and use in your games (see end of video) Features: - Floorplan 2D: A 2D canvas to map out the floor - Edit Mode for Objects: Edit Vertices/Edges/Faces, extrude, bevel, fillet and chamfer - Brush Mode: Rapidly build map elements with a RealtimeCSG like experience. Cubes, Stairs, Doors, Arch, Cylinder, Custom polygons. Yes, you can even curve the stairs - Modifiers: Yes, you read that right, slap that array modifier on your pillar and call it a day - Terrain Generator: Perlin, Voronoi, you name it. Oh yes, you can rasterize it and edit every single vertex in edit mode. Keyboard shortcuts are mostly same as blender to activate that muscle memory (G/R/S, axis lock XYZ) Soon: - AI integration. Boot that MCP and directly connect your fav AI agent to build the floorplan, generate 3D maps and more (you will love how this movie ends) It's a little rough and in early, very early alpha so come and join as a contributor instead of calling it slop It's all vibe coded btw, i have no idea what the code does I need this to build my game, as i'm a total blender noob and threejs is great, so why not? Outshipping every CAD and 3D startup just because i want to build a game, that's how you accelerate

fine, i'll build it myself, open source ofc Launching Three-Maps, a rapid blockout editor for building game maps for threejs games: Create a floor plan in 2D, automatically generate 3D levels from it, edit them, export to .glb and use in your games (see end of video) Features: - Floorplan 2D: A 2D canvas to map out the floor - Edit Mode for Objects: Edit Vertices/Edges/Faces, extrude, bevel, fillet and chamfer - Brush Mode: Rapidly build map elements with a RealtimeCSG like experience. Cubes, Stairs, Doors, Arch, Cylinder, Custom polygons. Yes, you can even curve the stairs - Modifiers: Yes, you read that right, slap that array modifier on your pillar and call it a day - Terrain Generator: Perlin, Voronoi, you name it. Oh yes, you can rasterize it and edit every single vertex in edit mode. Keyboard shortcuts are mostly same as blender to activate that muscle memory (G/R/S, axis lock XYZ) Soon: - AI integration. Boot that MCP and directly connect your fav AI agent to build the floorplan, generate 3D maps and more (you will love how this movie ends) It's a little rough and in early, very early alpha so come and join as a contributor instead of calling it slop It's all vibe coded btw, i have no idea what the code does I need this to build my game, as i'm a total blender noob and threejs is great, so why not? Outshipping every CAD and 3D startup just because i want to build a game, that's how you accelerate

robot 2.0

106,664 次观看 • 6 个月前

I started using Blender through MCP about two weeks ago, and I quickly realized that you can build almost anything with AI. This model was created using Blender, Hunyuan3D, Gemini, and ChatGPT. Here’s how I did it: I opened Gemini, uploaded an image of the Gundam model, and asked it to generate a clean front-view image. I uploaded that front view to ChatGPT and asked it to generate two additional angles: a back view and a 45-degree front-left view. I went to: I signed up with my email and translated the page into English. Then I opened Image to 3D and selected the multi-image option. You’ll see a diagram of a whale from several angles. Upload each reference image in its corresponding position, such as front, 45-degree front-left, and back. I selected the 1.5M-face option. This produces a very high-poly model, but don’t worry, we’ll fix that next. Once the generation is complete, download the model as a GLB file. From the Hunyuan homepage, open 3D Studio using one of the dropdown menus. Select the topology or retopology tool and upload your GLB. I chose the High setting to preserve as much detail as possible. After a few seconds, the model was retopologized. It kept most of its visual detail while using far fewer polygons. The original head and rifle didn’t look very good, so I generated them separately. I returned to ChatGPT and created dedicated reference images for the Gundam’s head and rifle. I generated each part individually in Hunyuan at the 1.5M setting, then ran both through the same retopology process. Next came the textures. Open the texture section, select the multi-image option, and upload the same reference images according to the whale orientation indicators. However, instead of using the original clean textures, I asked ChatGPT to recreate them with wear, rust stains, scratches, and other surface damage. This gave the Gundam a much older and more authentic appearance. Once every part was textured, I imported everything into Blender. You can ask Codex through MCP to remove the original head and rifle, or you can do it manually. Select the main model and press Tab to enter Edit Mode. Press 3 to enable face selection, then press C to activate Circle Select. Paint over the faces belonging to the original helmet or rifle. You can press X to delete those faces or P to separate them into another object. Then position the newly generated, more detailed head and rifle in their place. I demonstrate this process in one of my older videos. And that’s it. You now have a very cool 3D Gundam model! Afterward, I created the cockpit, separated the model into movable sections, and rigged everything for use in my Three.js game. That process deserves its own tutorial, though. If anyone wants to see it, let me know. Or just ask your AI, I guess. They seem to know everything these days. xD

I started using Blender through MCP about two weeks ago, and I quickly realized that you can build almost anything with AI. This model was created using Blender, Hunyuan3D, Gemini, and ChatGPT. Here’s how I did it: I opened Gemini, uploaded an image of the Gundam model, and asked it to generate a clean front-view image. I uploaded that front view to ChatGPT and asked it to generate two additional angles: a back view and a 45-degree front-left view. I went to: I signed up with my email and translated the page into English. Then I opened Image to 3D and selected the multi-image option. You’ll see a diagram of a whale from several angles. Upload each reference image in its corresponding position, such as front, 45-degree front-left, and back. I selected the 1.5M-face option. This produces a very high-poly model, but don’t worry, we’ll fix that next. Once the generation is complete, download the model as a GLB file. From the Hunyuan homepage, open 3D Studio using one of the dropdown menus. Select the topology or retopology tool and upload your GLB. I chose the High setting to preserve as much detail as possible. After a few seconds, the model was retopologized. It kept most of its visual detail while using far fewer polygons. The original head and rifle didn’t look very good, so I generated them separately. I returned to ChatGPT and created dedicated reference images for the Gundam’s head and rifle. I generated each part individually in Hunyuan at the 1.5M setting, then ran both through the same retopology process. Next came the textures. Open the texture section, select the multi-image option, and upload the same reference images according to the whale orientation indicators. However, instead of using the original clean textures, I asked ChatGPT to recreate them with wear, rust stains, scratches, and other surface damage. This gave the Gundam a much older and more authentic appearance. Once every part was textured, I imported everything into Blender. You can ask Codex through MCP to remove the original head and rifle, or you can do it manually. Select the main model and press Tab to enter Edit Mode. Press 3 to enable face selection, then press C to activate Circle Select. Paint over the faces belonging to the original helmet or rifle. You can press X to delete those faces or P to separate them into another object. Then position the newly generated, more detailed head and rifle in their place. I demonstrate this process in one of my older videos. And that’s it. You now have a very cool 3D Gundam model! Afterward, I created the cockpit, separated the model into movable sections, and rigged everything for use in my Three.js game. That process deserves its own tutorial, though. If anyone wants to see it, let me know. Or just ask your AI, I guess. They seem to know everything these days. xD

Spectro

79,320 次观看 • 1 个月前

vibe coding metahuman with threejs and codex: spitting FACS ok, i'll admit 3D modeling has a lot of depth, going from a cube to a full facial action coding system is.. a lot of work, but really it isn't all that hard to learn like some people want you to believe it took me about 10 evenings to go from scratch (no idea how to even model in blender beyond the famous donut) to a working rigged and shape keyed expression system the actual vibe coding parts are very manageable, i'm not even hitting any session limits the past week since codex is basically just reading the glb file and it writes the drivers to have a full animation system in a single turn after that i usually notice that some things don't look as professional as i like it to be, followed by codex sending my ass back to blender and telling me what i need to do to make it better so here we are, the expression system is still very very simplified, no micro expressions yet and i believe i will need probably 500+ shape keys to actual achieve realism, but why not? Doing the 52 ARKit expressions for this demo wasn't too hard either, just tedious and boring The final driver in the demo uses a mix of bone movements and blendshapes to smoothly animate the face I might mix up some terminology here but i usually do cause it's been like what, 10 days since i started? Guess next up i'll look into face deformation parameters and then we'll move to the fun part of skinning. Once the head/neck area works (hairs are also still missing), full body next and finally LOD systems and we can call it a day Demo (pls use a desktop i'm not optimizing the ui for mobile):

vibe coding metahuman with threejs and codex: spitting FACS ok, i'll admit 3D modeling has a lot of depth, going from a cube to a full facial action coding system is.. a lot of work, but really it isn't all that hard to learn like some people want you to believe it took me about 10 evenings to go from scratch (no idea how to even model in blender beyond the famous donut) to a working rigged and shape keyed expression system the actual vibe coding parts are very manageable, i'm not even hitting any session limits the past week since codex is basically just reading the glb file and it writes the drivers to have a full animation system in a single turn after that i usually notice that some things don't look as professional as i like it to be, followed by codex sending my ass back to blender and telling me what i need to do to make it better so here we are, the expression system is still very very simplified, no micro expressions yet and i believe i will need probably 500+ shape keys to actual achieve realism, but why not? Doing the 52 ARKit expressions for this demo wasn't too hard either, just tedious and boring The final driver in the demo uses a mix of bone movements and blendshapes to smoothly animate the face I might mix up some terminology here but i usually do cause it's been like what, 10 days since i started? Guess next up i'll look into face deformation parameters and then we'll move to the fun part of skinning. Once the head/neck area works (hairs are also still missing), full body next and finally LOD systems and we can call it a day Demo (pls use a desktop i'm not optimizing the ui for mobile):

robot

29,357 次观看 • 3 个月前

🖨️ It took over a year and lots of help from Claude Code but I have now been able to create a real dot matrix printer on the web that prints from Windows 3.11 in your browser: Here's the test page: I couldn't get the LPT1 port to work but COM2 did work (the dial up model already uses COM1), the JS receives the COM2 serial data (just raw print data) and then prints it Next is to make the dot matrix printer better looking (kinda 3d like on pieter dot com) and have the paper also flowing in 3d out of the printer and integrate it on the page My idea was that it might work because we also capture the COM1 data (from the dial up modem) and send it to a Websocket as a dial up connection, so we should be able to capture the COM2 traffic too but I didn't know how, but now I do IT WORKS!! 😊

🖨️ It took over a year and lots of help from Claude Code but I have now been able to create a real dot matrix printer on the web that prints from Windows 3.11 in your browser: Here's the test page: I couldn't get the LPT1 port to work but COM2 did work (the dial up model already uses COM1), the JS receives the COM2 serial data (just raw print data) and then prints it Next is to make the dot matrix printer better looking (kinda 3d like on pieter dot com) and have the paper also flowing in 3d out of the printer and integrate it on the page My idea was that it might work because we also capture the COM1 data (from the dial up modem) and send it to a Websocket as a dial up connection, so we should be able to capture the COM2 traffic too but I didn't know how, but now I do IT WORKS!! 😊

@levelsio

85,969 次观看 • 2 个月前

I used to think waiting for my PC to finish a task was just part of the creative process. Then I realized how much time I was wasting just sitting around and checking on it. 😅 AI video generations, 4K exports, Blender renders, model training, code builds, huge downloads… some of these tasks can easily run for 30–40+ minutes. And somehow, I’d still walk over to my computer every few minutes like staring at the progress bar would make it move faster. 😂 That’s where StarDesk changed my workflow. Now I can access and monitor my desktop directly from my phone, even when I’m away from my setup. I can: 📱 Check AI video generations 🎬 Monitor exports and renders 🧠 Keep an eye on AI/model training 🔄 Restart workflows when something goes wrong 📂 Access files and desktop applications ⚡ Start the next task without being at my desk 💻 Monitor scripts, builds, and long-running processes And it’s not just useful for AI creators. 🎨 3D Artists: Keep track of Blender, Unreal Engine, Maya, Cinema 4D, and Houdini renders. 💻 Developers: Monitor builds, scripts, deployments, and local servers. 📸 Photographers: Check Lightroom exports and large file imports. 🎮 Gamers: Start downloads, manage updates, and get everything ready before you’re back home. 🎓 Students & Professionals: Access important desktop files and applications from wherever you are. 🏢 Small Businesses: Stay connected to office files and essential desktop tools while away. 🛠️ IT Support: Remotely access and troubleshoot computers without being physically there. The biggest difference? Your computer can keep doing the heavy work while you get on with your life. I originally tried StarDesk because it was free. I thought I’d only use it for checking my AI video workflows. Turns out, it became one of those small tools that quietly became part of my everyday workflow. Sometimes the best productivity tools aren’t the ones with the biggest feature lists. They’re the ones that simply give you more control, less waiting, and more freedom to step away from your desk. Try StarDesk 👇 #StarDesk #RemoteDesktop #AI #Productivity #AITools

I used to think waiting for my PC to finish a task was just part of the creative process. Then I realized how much time I was wasting just sitting around and checking on it. 😅 AI video generations, 4K exports, Blender renders, model training, code builds, huge downloads… some of these tasks can easily run for 30–40+ minutes. And somehow, I’d still walk over to my computer every few minutes like staring at the progress bar would make it move faster. 😂 That’s where StarDesk changed my workflow. Now I can access and monitor my desktop directly from my phone, even when I’m away from my setup. I can: 📱 Check AI video generations 🎬 Monitor exports and renders 🧠 Keep an eye on AI/model training 🔄 Restart workflows when something goes wrong 📂 Access files and desktop applications ⚡ Start the next task without being at my desk 💻 Monitor scripts, builds, and long-running processes And it’s not just useful for AI creators. 🎨 3D Artists: Keep track of Blender, Unreal Engine, Maya, Cinema 4D, and Houdini renders. 💻 Developers: Monitor builds, scripts, deployments, and local servers. 📸 Photographers: Check Lightroom exports and large file imports. 🎮 Gamers: Start downloads, manage updates, and get everything ready before you’re back home. 🎓 Students & Professionals: Access important desktop files and applications from wherever you are. 🏢 Small Businesses: Stay connected to office files and essential desktop tools while away. 🛠️ IT Support: Remotely access and troubleshoot computers without being physically there. The biggest difference? Your computer can keep doing the heavy work while you get on with your life. I originally tried StarDesk because it was free. I thought I’d only use it for checking my AI video workflows. Turns out, it became one of those small tools that quietly became part of my everyday workflow. Sometimes the best productivity tools aren’t the ones with the biggest feature lists. They’re the ones that simply give you more control, less waiting, and more freedom to step away from your desk. Try StarDesk 👇 #StarDesk #RemoteDesktop #AI #Productivity #AITools

Nancy Diazz

50,688 次观看 • 10 天前

My fox shooting garden defending AI robot is finally done and WORKING! 🤩 (Don’t worry it only shoots 💦 water) After months of slowly moving forward with each part I finished the last step to train a TensorFlow model on the footage of the 🦊 fox I collected hours of footage 📹 with the fox roaming around my garden, from this I labeled around 2000 images with the fox by hand ✋ Honestly, I was quite skeptical training the model was actually gonna work, maybe this was partly the reason I avoided working on this until the very end. If I couldn’t train a model to detect the fox, this whole robot would never be able to function properly. On the flipside though, with no previous experience in hardware or electronics there was a bit of a learning curve and I didn’t want to end up labeling thousands of images, training a TensorFlow model, only to fail on building the hardware. As I started building, I realized that mixing hardware and software adds quite another dimension to debugging things. At times I wasted hours debugging code in my IDE, only to realize the issue was somewhere in the electronics. Furthermore, combining this side project with a full time job and a young family, is not always easy. It can be quite frustrating, to know you only need 4 hours of concentrated effort for a small task, having to spread it out across a week of 20min increments. Then, a few months into the build I noticed the fox had stopped coming to my garden, in fact one day, I recorded her walking with 3 cute little 🐶 pups, and the next day I saw her moving out of my garden completely. Did she know I was building a robot? I had this strange mix of feelings, happy my garden was safe from poop and digging, happy she was safe with her pups, but how was I gonna finish this project if my robot had no fox to detect? For sure they would be back next year, I figured I could postpone the whole thing until next winter, but I also knew it was gonna be much harder to pick up momentum if I did let it sit there for six months. So I decided to keep working, hoping the fox would reappear,.. but she never did. As I finished labeling the footage and started training my model, I could finally see the mAP results, quantifying the precision of my object detection model. It was measuring at 78% across different metrics on detecting my fox. I quickly ran the model on some of the video footage I got from my fox. Inference speed took a hit, but it did a near perfect job detecting the fox, even when she was deep down in the grass or wizzing past in a motion blur. It took me by surprise how well it worked. With the default model I had to drop my confidence threshold way down to 15%, to recognize the fox as 🦜“bird” in one or two frames, with my custom model it followed the fox all the way down to the back of the garden! Still this didn’t solve the issue of there being no actual fox in my garden and how was I gonna wrap this project in a short timeframe. I played with the idea of putting a fox toy 🧸 on an RC 🚗 car, or borrowing a dog to run around the garden to test. Friends suggested I run around the garden in a fox costume.. what a ridiculous idea. I wasn’t really feeling the idea of running around the garden in a floppy cloth fox 🎭 costume, but had a look anyway. I came across these self inflating costumes. This actually could be perfect. Since it’s inflated, it would hold its shape super well, making it much easier to label, train and be recognized by my robot. So I got the costume and shot a time lapse of myself as a fox walking around the garden. I labeled it to around 600 images. Ran the model training again and got a mAP result of 82%. This was even better than my real fox! At this point I knew this was gonna work. So here’s the final 🎥 video, just having some fun with it. I’ll update here whenever the real fox does come back. On a final note, I’m looking for (remote) jobs in these fields of AI now: - object detection - visual generative AI - 3D (nerfs + gaussian splats) So if you know anything let me know! My DMs are open 😊

My fox shooting garden defending AI robot is finally done and WORKING! 🤩 (Don’t worry it only shoots 💦 water) After months of slowly moving forward with each part I finished the last step to train a TensorFlow model on the footage of the 🦊 fox I collected hours of footage 📹 with the fox roaming around my garden, from this I labeled around 2000 images with the fox by hand ✋ Honestly, I was quite skeptical training the model was actually gonna work, maybe this was partly the reason I avoided working on this until the very end. If I couldn’t train a model to detect the fox, this whole robot would never be able to function properly. On the flipside though, with no previous experience in hardware or electronics there was a bit of a learning curve and I didn’t want to end up labeling thousands of images, training a TensorFlow model, only to fail on building the hardware. As I started building, I realized that mixing hardware and software adds quite another dimension to debugging things. At times I wasted hours debugging code in my IDE, only to realize the issue was somewhere in the electronics. Furthermore, combining this side project with a full time job and a young family, is not always easy. It can be quite frustrating, to know you only need 4 hours of concentrated effort for a small task, having to spread it out across a week of 20min increments. Then, a few months into the build I noticed the fox had stopped coming to my garden, in fact one day, I recorded her walking with 3 cute little 🐶 pups, and the next day I saw her moving out of my garden completely. Did she know I was building a robot? I had this strange mix of feelings, happy my garden was safe from poop and digging, happy she was safe with her pups, but how was I gonna finish this project if my robot had no fox to detect? For sure they would be back next year, I figured I could postpone the whole thing until next winter, but I also knew it was gonna be much harder to pick up momentum if I did let it sit there for six months. So I decided to keep working, hoping the fox would reappear,.. but she never did. As I finished labeling the footage and started training my model, I could finally see the mAP results, quantifying the precision of my object detection model. It was measuring at 78% across different metrics on detecting my fox. I quickly ran the model on some of the video footage I got from my fox. Inference speed took a hit, but it did a near perfect job detecting the fox, even when she was deep down in the grass or wizzing past in a motion blur. It took me by surprise how well it worked. With the default model I had to drop my confidence threshold way down to 15%, to recognize the fox as 🦜“bird” in one or two frames, with my custom model it followed the fox all the way down to the back of the garden! Still this didn’t solve the issue of there being no actual fox in my garden and how was I gonna wrap this project in a short timeframe. I played with the idea of putting a fox toy 🧸 on an RC 🚗 car, or borrowing a dog to run around the garden to test. Friends suggested I run around the garden in a fox costume.. what a ridiculous idea. I wasn’t really feeling the idea of running around the garden in a floppy cloth fox 🎭 costume, but had a look anyway. I came across these self inflating costumes. This actually could be perfect. Since it’s inflated, it would hold its shape super well, making it much easier to label, train and be recognized by my robot. So I got the costume and shot a time lapse of myself as a fox walking around the garden. I labeled it to around 600 images. Ran the model training again and got a mAP result of 82%. This was even better than my real fox! At this point I knew this was gonna work. So here’s the final 🎥 video, just having some fun with it. I’ll update here whenever the real fox does come back. On a final note, I’m looking for (remote) jobs in these fields of AI now: - object detection - visual generative AI - 3D (nerfs + gaussian splats) So if you know anything let me know! My DMs are open 😊

Jeroen Pixel

55,797 次观看 • 2 年前

The most undervalued skill for founders: Delegation. It helps you scale your business and maximize output while maintaining a healthy work-life balance. Here's how I work just 20 hours/week (and make $1.2M/month): 1. Create a Job Description in a Google Doc Describe how your ideal candidate will perform. Include: • The role overview • What they will be doing • What skills they need to have • Why they will love working with you 2. Create Their Objectives and Key Results (OKRs) Ask yourself: What does success look like for this person in the first 90 days? I use the SMART goals framework: • Specific • Measurable • Achievable • Relevant • Time-Bound Here are some of the actual SMART goals I set with my assistant: - Schedule 10 social posts to go out every day - Schedule 50 sales meetings a week - Generate $30k of sales per month 3. Create an Onboarding System The hardest part of having a good working relationship with a Growth Assistant is onboarding them. The hack: Create a Google Sheet with all onboarding tasks in these columns: • Systems • Department • Documentation • Loom Video • Owner 4. Build a Notion Company Wiki A Company Wiki is where all of your key documents and systems live. You want to reduce the number of times you get basic questions: "What are our brand guidelines?" "Where are our logos?" 5. Improve Your Systems via Feedback Your Loom videos and systems are never set in stone. Set up a weekly meeting to refine all your processes and eliminate confusion. Agenda: • What's going well? • What's not going well? • What can we improve? 6. Take Pride in Your Systems "You do not rise to the level of your goals. You fall to the level of your systems." - James Clear Your systems are the engine that keeps your entire operation working. Keep them updated monthly and delete/re-evaluate tasks that aren't effective. 7. Work with a Hiring Partner If it's your first time hiring a Growth Assistant you need to get help. You're going to waste a lot of time reviewing resumes and coordinating interviews. Working with a hiring partner solves all of that. They do all the interviews, background checks, and negotiations. I focus on the job description, objectives, and onboarding systems. I’ve shared the entire breakdown below. Check out the replies below if you prefer YouTube, Spotify, or Apple.

MATT GRAY

22,784 次观看 • 1 年前