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I made Blender node previews work on ANY PC… No GPU? Still fast. Low-end setup? Still smooth. High-end GPU? Even better. Blender 4.0+ supported #b3d #blender3d #gamedev #3dart

Mix 3D

2,707 subscribers

30,711 次观看 • 3 个月前 •via X (Twitter)

艺术科学技术 #b3d #blender3d #gamedev #3dart

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Guys, Maybe I'm mistaken, but I think there is no way to disable a Light on Blender. That's why I made a toggle button for my Better Pie Menus Add-on. Please tell me what you think. #b3d #blender3d #blender

Guys, Maybe I'm mistaken, but I think there is no way to disable a Light on Blender. That's why I made a toggle button for my Better Pie Menus Add-on. Please tell me what you think. #b3d #blender3d #blender

Pitiwazou 3D Freelancer

11,753 次观看 • 1 年前

Introducing Kitten TTS, a SOTA tiny text-to-speech model - Just 15M parameters - Runs without a GPU - Model size less than 25 MB - Multiple high-quality voices - Ultra-fast - even runs on low-end edge devices Github and HF links below

Introducing Kitten TTS, a SOTA tiny text-to-speech model - Just 15M parameters - Runs without a GPU - Model size less than 25 MB - Multiple high-quality voices - Ultra-fast - even runs on low-end edge devices Github and HF links below

Divam Gupta

348,835 次观看 • 11 个月前

Here's something I promised to show you… GPU grass that is actually fast and usable! It can be dynamically scattered over any mesh in your scene, can be bent by people's avatars or props, and it even works on Quest and mobile just fine. Still WIP, but you can check this world:

Here's something I promised to show you… GPU grass that is actually fast and usable! It can be dynamically scattered over any mesh in your scene, can be bent by people's avatars or props, and it even works on Quest and mobile just fine. Still WIP, but you can check this world:

RED_SIM

47,887 次观看 • 6 个月前

Assassins Creed: Shadows PC Port is absolute garbage. I'm playing AC: Shadows both on Console and PC, unfortunately even if you have a high-end PC, the Game stutters on PC. This is most likely because of Denuvo and bad Optimization. The Frametime is so bad I can't even begin to describe it, I'm forced to turn Frame-Gen on just to have a smooth experience. Disabling Frame-Gen and even running this Game on the lowest possible settings still results in a sub-par experience. This clip credit to zWORMz Gaming shows him trying to run AC: Shadows with Max Settings on an RTX 5070 Ti with the Ryzen 7 9800X3D and the Game still struggles to hit 60FPS! having specs anything even below these ones means that the Game will run even worse on most PC Gamers. The PC Port is terrible.

Assassins Creed: Shadows PC Port is absolute garbage. I'm playing AC: Shadows both on Console and PC, unfortunately even if you have a high-end PC, the Game stutters on PC. This is most likely because of Denuvo and bad Optimization. The Frametime is so bad I can't even begin to describe it, I'm forced to turn Frame-Gen on just to have a smooth experience. Disabling Frame-Gen and even running this Game on the lowest possible settings still results in a sub-par experience. This clip credit to zWORMz Gaming shows him trying to run AC: Shadows with Max Settings on an RTX 5070 Ti with the Ryzen 7 9800X3D and the Game still struggles to hit 60FPS! having specs anything even below these ones means that the Game will run even worse on most PC Gamers. The PC Port is terrible.

NikTek

752,270 次观看 • 1 年前

2025 was a bit of a special year for me. lots of change, lots of personality-defining moment, and lots of growth as well. i want to thank all my friends: work friends, party friends, friend friends, and especially friends in the intersection of these friend categories (you know who you are) <3 i would like to thank all partners, clients, and everyone else i might have come across in 2025. going into 2026, i'm hopeful that we will be even better and continue to improve ourselves. big things coming! <- i am serious anyway, i made this scene quickly to take a little break from work :) i designed this character with Dimas at the end of 2025, and it looks like i might see her more often in my personal works throughout 2026 <3 created in Blender, Houdini, and DaVinci Resolve. The usual suspects. cheers! -i #b3d #blender3d #houdini #sidefxhoudini

2025 was a bit of a special year for me. lots of change, lots of personality-defining moment, and lots of growth as well. i want to thank all my friends: work friends, party friends, friend friends, and especially friends in the intersection of these friend categories (you know who you are) <3 i would like to thank all partners, clients, and everyone else i might have come across in 2025. going into 2026, i'm hopeful that we will be even better and continue to improve ourselves. big things coming! <- i am serious anyway, i made this scene quickly to take a little break from work :) i designed this character with Dimas at the end of 2025, and it looks like i might see her more often in my personal works throughout 2026 <3 created in Blender, Houdini, and DaVinci Resolve. The usual suspects. cheers! -i #b3d #blender3d #houdini #sidefxhoudini

izzy

13,817 次观看 • 6 个月前

just built a local AI waifu on my two macbooks by using the oss parallax inference library!!! not super smooth yet but parallax is still the easiest way to run llms locally on top of mlx - and no bigco can steal my waifu. still need folks to help her see/hear/draw since mlx has no legit wrapper yet. i’m running a campaign giving away mac minis + dgx spark. please please share your localhost ai model setup by using parallax (you don't need a gpu to try self-hosting you can just start with an extra macbook you borrowed from your friend like i did) or any fun app built on top of yourself host model to link below. come build sovereign intelligence with me 🫶

just built a local AI waifu on my two macbooks by using the oss parallax inference library!!! not super smooth yet but parallax is still the easiest way to run llms locally on top of mlx - and no bigco can steal my waifu. still need folks to help her see/hear/draw since mlx has no legit wrapper yet. i’m running a campaign giving away mac minis + dgx spark. please please share your localhost ai model setup by using parallax (you don't need a gpu to try self-hosting you can just start with an extra macbook you borrowed from your friend like i did) or any fun app built on top of yourself host model to link below. come build sovereign intelligence with me 🫶

Asuka Zheng🎀@ICML

178,998 次观看 • 8 个月前

Today we're taking a very early look at the progress being made on the Sega Dreamcast's very own port of Runescape Classic! If you weren't already aware of the work that developer, Lobotomy, has been doing, here's some footage captured from an emulator of some online play! It's still extremely early, and as with every ambitious port in the beginning, it still requires the 32MB RAM upgrade, has no audio, and runs like ass... So basically standard procedure! He's currently using our SDL2 back-end with software rendering, which explains the low framerate. Eventually it will move to HW accelerated graphics using the DC's PowerVR GPU, so the current low FPS is to be expected until that time. What IS a big deal is that even in this early stage, it's already able to connect to the online servers for cross-play and is fully playable with the mouse and keyboard! Stay tuned for future updates as Lobotomy continues his work!

Today we're taking a very early look at the progress being made on the Sega Dreamcast's very own port of Runescape Classic! If you weren't already aware of the work that developer, Lobotomy, has been doing, here's some footage captured from an emulator of some online play! It's still extremely early, and as with every ambitious port in the beginning, it still requires the 32MB RAM upgrade, has no audio, and runs like ass... So basically standard procedure! He's currently using our SDL2 back-end with software rendering, which explains the low framerate. Eventually it will move to HW accelerated graphics using the DC's PowerVR GPU, so the current low FPS is to be expected until that time. What IS a big deal is that even in this early stage, it's already able to connect to the online servers for cross-play and is fully playable with the mouse and keyboard! Stay tuned for future updates as Lobotomy continues his work!

Falco Girgis

11,835 次观看 • 1 年前

I got Llama 3 running in my browser using only my GPU with my Wi-Fi switched OFF completely client-side WebGPU is a new feature in browsers where JS can use the GPU of the device and apparently you can run LLMs on it too, and it's fast! My end goal for 🧠 is a locally run client side 100% private conversation where nothing gets sent to, processed in or stored in the cloud This will be helpful because I prefer making it web based instead of coding for 4 different native platforms (iOS, Android, MacOS, Windows) Two challenges still: 1) the user has to download the LLM model first and the smallest model is still ~3GB, but they only have to download it once 2) not all devices have fast GPUs yet for LLMs, but it's starting to become a default in most devices e.g.s smartphones

I got Llama 3 running in my browser using only my GPU with my Wi-Fi switched OFF completely client-side WebGPU is a new feature in browsers where JS can use the GPU of the device and apparently you can run LLMs on it too, and it's fast! My end goal for 🧠 is a locally run client side 100% private conversation where nothing gets sent to, processed in or stored in the cloud This will be helpful because I prefer making it web based instead of coding for 4 different native platforms (iOS, Android, MacOS, Windows) Two challenges still: 1) the user has to download the LLM model first and the smallest model is still ~3GB, but they only have to download it once 2) not all devices have fast GPUs yet for LLMs, but it's starting to become a default in most devices e.g.s smartphones

@levelsio

261,416 次观看 • 2 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 • 6 个月前

🔥 This WEB3 GAME coming to APECHAIN is FIRE! 🔥 We teamed up with some content creators and gamers from Wayfinders to test CODE: Havoc , and it’s been a blast! 🔴 Here’s what stood out: - 3rd person shooter with fast-paced, fun gameplay - Tons of weapons - Runs super smooth—even on low-end PCs! (I had some latency since there are no LATAM servers yet ... TEST ) - Bet your ApeCoin in matches! 💰 This is definitely one to keep an eye on! 👀

🔥 This WEB3 GAME coming to APECHAIN is FIRE! 🔥 We teamed up with some content creators and gamers from Wayfinders to test CODE: Havoc , and it’s been a blast! 🔴 Here’s what stood out: - 3rd person shooter with fast-paced, fun gameplay - Tons of weapons - Runs super smooth—even on low-end PCs! (I had some latency since there are no LATAM servers yet ... TEST ) - Bet your ApeCoin in matches! 💰 This is definitely one to keep an eye on! 👀

EL REA 🇦🇷

10,813 次观看 • 1 年前

Dylan Patel of SemiAnalysis says a worse GPU with better storage and memory now beats the best chip without them, so buying the newest GPU alone no longer wins inference. So, an AMD GPU with more memory can outperform Nvidia in some cases. "So what we have is we have over $80 million of compute, GPUs from Nvidia, AMD, TPUs from Google, Trainium from Amazon, and we run this benchmark constantly on the newest inference engine, newest drivers, newest PyTorch version, whatever it is." "Every day it runs on an automated CI, and we run it on all the latest Chinese models, from GLM, Zhipu, Moonshot, Kimi, Alibaba, all these models we run." "Initially, when we were benchmarking the difference between these chips and different engines, different schemes for parallelism, we were just running it fixed context length." "But now with Agent X, we've analyzed over $5 million worth of Claude Code traces. This is real production traffic that people have donated to us as well as internally generated. Now we know what the actual agent workload looks like." "And then as we implement that and run those benchmarks, it turns out yes, the chip you're using is very important, but now even more important is how are you handling this memory offload?" "And so while an Nvidia GPU is faster than an AMD GPU in most cases, because AMD GPUs have more memory, they actually end up outperforming in some cases." "Or you can have a worse GPU, but a much better storage solution, and now you can outperform what the best GPU can do without those solutions. So just buying the newest and latest GPU alone doesn't get you the best inference economics." "Actually, you need to layer in all these other innovations including storage and memory." [ Who's the top player on your chart? ] "That really is a difficult multivariable problem. And generally that means you need to have, yes, you need to have the best GPU, a GB300, but you also need to have the best storage solutions. And so I won't spoil who's the best right here, but I will say that storage solutions matter a lot and memory solutions matter a lot, as does your front-end networking. That matters a lot."

Dylan Patel of SemiAnalysis says a worse GPU with better storage and memory now beats the best chip without them, so buying the newest GPU alone no longer wins inference. So, an AMD GPU with more memory can outperform Nvidia in some cases. "So what we have is we have over $80 million of compute, GPUs from Nvidia, AMD, TPUs from Google, Trainium from Amazon, and we run this benchmark constantly on the newest inference engine, newest drivers, newest PyTorch version, whatever it is." "Every day it runs on an automated CI, and we run it on all the latest Chinese models, from GLM, Zhipu, Moonshot, Kimi, Alibaba, all these models we run." "Initially, when we were benchmarking the difference between these chips and different engines, different schemes for parallelism, we were just running it fixed context length." "But now with Agent X, we've analyzed over $5 million worth of Claude Code traces. This is real production traffic that people have donated to us as well as internally generated. Now we know what the actual agent workload looks like." "And then as we implement that and run those benchmarks, it turns out yes, the chip you're using is very important, but now even more important is how are you handling this memory offload?" "And so while an Nvidia GPU is faster than an AMD GPU in most cases, because AMD GPUs have more memory, they actually end up outperforming in some cases." "Or you can have a worse GPU, but a much better storage solution, and now you can outperform what the best GPU can do without those solutions. So just buying the newest and latest GPU alone doesn't get you the best inference economics." "Actually, you need to layer in all these other innovations including storage and memory." [ Who's the top player on your chart? ] "That really is a difficult multivariable problem. And generally that means you need to have, yes, you need to have the best GPU, a GB300, but you also need to have the best storage solutions. And so I won't spoil who's the best right here, but I will say that storage solutions matter a lot and memory solutions matter a lot, as does your front-end networking. That matters a lot."

Fireside Alpha

165,565 次观看 • 1 天前

📲 You can also now import external photos into your gallery on Photo AI, not just ones you generated Then you can do anything with those external pics as you'd normally do, like [ Make video ] or [ Upscale ] etc. Here's a pic of me and Beff – e/acc which I then [ AI Edit ] to put us in a futuristic GPU factory The new AI edit model Flux Kontext is great but even that one still has some problems with maintaining resemblance, I think once models let us add a reference pic (esp for video) it will maintain faces better, but it's already pretty cool (and fast thanks to fal!)

📲 You can also now import external photos into your gallery on Photo AI, not just ones you generated Then you can do anything with those external pics as you'd normally do, like [ Make video ] or [ Upscale ] etc. Here's a pic of me and Beff – e/acc which I then [ AI Edit ] to put us in a futuristic GPU factory The new AI edit model Flux Kontext is great but even that one still has some problems with maintaining resemblance, I think once models let us add a reference pic (esp for video) it will maintain faces better, but it's already pretty cool (and fast thanks to fal!)

@levelsio

33,589 次观看 • 1 年前

I spent 5 hours today making OpenClaw even better at Motion Graphics I created the video below in 2 prompts with no asset uploads. It scraped or generated everything from a text prompt. I've added: - better brand scraping - image generation - video generation - music generation and scraping - better transitions on first prompt - basically zero errors - Always outputs a link to the editor you see below so I can open it from any device... (I can create and edit from telegram) Still work to do I will make a video this weekend and release the skill. It's the best remotion skill that exists imo.

Riley Brown

120,252 次观看 • 4 个月前

My stream has crashed every stream Ive done for the last year and a half. I dont know what to do and im about to quit. I have a job- just my hobby is being destroyed ): Here are more videos. Please help. -started with OBS and now a bit less crashes in SLOBS - Nothing in the logs / event viewer says anything is wrong. - Ive reseated my ram. - All gamebar/overlays are off. - no overheating (CPU 38°, Mobo 42°, GPU 53°) -6 month old thermal paste -3 month old bios - all updated firmware on everything/storage/mobo/ram - power hub USB - no plugins - HAGS off - nvidia audio devices off - max game fps set to 60 /playing at low quality - NO overclocking - meld wont work - anker surge protector+2 outlets I cant play games on my powerhouse of a PC, only Playstation is working to avoid lags. Still crashes though. Specs below

My stream has crashed every stream Ive done for the last year and a half. I dont know what to do and im about to quit. I have a job- just my hobby is being destroyed ): Here are more videos. Please help. -started with OBS and now a bit less crashes in SLOBS - Nothing in the logs / event viewer says anything is wrong. - Ive reseated my ram. - All gamebar/overlays are off. - no overheating (CPU 38°, Mobo 42°, GPU 53°) -6 month old thermal paste -3 month old bios - all updated firmware on everything/storage/mobo/ram - power hub USB - no plugins - HAGS off - nvidia audio devices off - max game fps set to 60 /playing at low quality - NO overclocking - meld wont work - anker surge protector+2 outlets I cant play games on my powerhouse of a PC, only Playstation is working to avoid lags. Still crashes though. Specs below

WATCHHOLLIE

25,488 次观看 • 4 个月前

The latest MLX has a CUDA back-end! To get started: pip install "mlx[cuda]" With the same codebase you can develop locally, run your model on Apple silicon, or in the cloud on Nvidia GPUs. MLX is designed around Apple silicon - which has a unified memory architecture. It uses the same design with CUDA. So there's no need to move arrays around from CPU memory to GPU memory. Note, this is early days - some operations are missing and performance is still being optimized. But it's already quite fast for Transformer training, text generation, and more! Here's a demo using mlx-lm to generate text with Llama 3 8B (bf16) on an A100:

The latest MLX has a CUDA back-end! To get started: pip install "mlx[cuda]" With the same codebase you can develop locally, run your model on Apple silicon, or in the cloud on Nvidia GPUs. MLX is designed around Apple silicon - which has a unified memory architecture. It uses the same design with CUDA. So there's no need to move arrays around from CPU memory to GPU memory. Note, this is early days - some operations are missing and performance is still being optimized. But it's already quite fast for Transformer training, text generation, and more! Here's a demo using mlx-lm to generate text with Llama 3 8B (bf16) on an A100:

Awni Hannun

42,761 次观看 • 1 年前

#Jasmy and #Janction are entering a new phase of expansion. The team aims to make its platform even more accessible, particularly by simplifying the development environment for application creators. A key focus is the introduction of an English interface, clearer documentation, and enhanced technical support. At the same time, #Jasmy is intensifying its international efforts, with particular attention to Southeast Asia. The year 2025 promises stronger communications and several major announcements ahead. Janction, on its part, has undergone a major transformation. It is no longer just a side project but now a true decentralized physical infrastructure built on a simple idea: everyone should be able to own and benefit from their own assets, including their data and computing power. Today, artificial intelligence, image generation, video rendering, and large-scale data processing all heavily rely on a single resource: the GPU. Originally designed for gaming, GPUs have become essential for any task that requires massive parallel processing. Unlike CPUs, GPUs can execute thousands of operations simultaneously, making them ideal for machine learning and AI models. However, this exponential demand has led to a global shortage. GPU prices are skyrocketing, lead times stretch up to a year, and the market is dominated by a few major players. In Japan and across Asia, the situation is especially strained. This is where Janction steps in with a disruptive approach. The idea is to allow any user to share an unused GPU, whether it’s in a gaming PC, a company server, a university lab, or even a cybercafé. In return, the owner gets paid. And to make this process smooth, simple, and secure, Janction relies on Docker technology. To visualize this, imagine a box containing everything needed to run an application, the code, libraries, and required files. Thanks to Docker, this box can be sent and run on any computer without conflicts or manual setup. This allows Janction to distribute AI or processing tasks across its network seamlessly. Each user receives a container, runs it via their GPU, and is paid automatically through smart contracts deployed on the network. The system is based on a fixed-rate subleasing model. Even if the GPU isn’t used 24/7, the owner still earns income. This is an ideal solution for schools, creative studios, researchers, or startups that have available resources but variable needs. Today, over 4,500 GPU nodes are already active in Japan, Hong Kong, and Singapore. The network offers fast block times and 99.9% reliability. The goal is ambitious: reach 100,000 nodes. To achieve this, Janction is targeting six main markets: AI startups, 3D and video studios, streaming platforms, research centers, game developers, and of course, owners of underutilized GPUs. At the same time, an Ethereum-based JANCTION token is in preparation. It will be used to reserve GPU power, participate in the ecosystem, and unlock additional rewards, including JASMY tokens. This dual-incentive system is designed to encourage the large-scale acquisition, sharing, and use of GPU power. The tokens will be tradable, storable, or reinvestable into hardware to further strengthen the network. #Janction’s strategy is clear, first, establish strong liquidity on recognized exchanges, then open access to a broad investor base, especially in #Japan, South Korea, and the United States.

#Jasmy and #Janction are entering a new phase of expansion. The team aims to make its platform even more accessible, particularly by simplifying the development environment for application creators. A key focus is the introduction of an English interface, clearer documentation, and enhanced technical support. At the same time, #Jasmy is intensifying its international efforts, with particular attention to Southeast Asia. The year 2025 promises stronger communications and several major announcements ahead. Janction, on its part, has undergone a major transformation. It is no longer just a side project but now a true decentralized physical infrastructure built on a simple idea: everyone should be able to own and benefit from their own assets, including their data and computing power. Today, artificial intelligence, image generation, video rendering, and large-scale data processing all heavily rely on a single resource: the GPU. Originally designed for gaming, GPUs have become essential for any task that requires massive parallel processing. Unlike CPUs, GPUs can execute thousands of operations simultaneously, making them ideal for machine learning and AI models. However, this exponential demand has led to a global shortage. GPU prices are skyrocketing, lead times stretch up to a year, and the market is dominated by a few major players. In Japan and across Asia, the situation is especially strained. This is where Janction steps in with a disruptive approach. The idea is to allow any user to share an unused GPU, whether it’s in a gaming PC, a company server, a university lab, or even a cybercafé. In return, the owner gets paid. And to make this process smooth, simple, and secure, Janction relies on Docker technology. To visualize this, imagine a box containing everything needed to run an application, the code, libraries, and required files. Thanks to Docker, this box can be sent and run on any computer without conflicts or manual setup. This allows Janction to distribute AI or processing tasks across its network seamlessly. Each user receives a container, runs it via their GPU, and is paid automatically through smart contracts deployed on the network. The system is based on a fixed-rate subleasing model. Even if the GPU isn’t used 24/7, the owner still earns income. This is an ideal solution for schools, creative studios, researchers, or startups that have available resources but variable needs. Today, over 4,500 GPU nodes are already active in Japan, Hong Kong, and Singapore. The network offers fast block times and 99.9% reliability. The goal is ambitious: reach 100,000 nodes. To achieve this, Janction is targeting six main markets: AI startups, 3D and video studios, streaming platforms, research centers, game developers, and of course, owners of underutilized GPUs. At the same time, an Ethereum-based JANCTION token is in preparation. It will be used to reserve GPU power, participate in the ecosystem, and unlock additional rewards, including JASMY tokens. This dual-incentive system is designed to encourage the large-scale acquisition, sharing, and use of GPU power. The tokens will be tradable, storable, or reinvestable into hardware to further strengthen the network. #Janction’s strategy is clear, first, establish strong liquidity on recognized exchanges, then open access to a broad investor base, especially in #Japan, South Korea, and the United States.

NeoXtrix

44,354 次观看 • 1 年前

I just cracked the code on AI animation ads 🤯 every one of these cost me 12 cents and under 20 seconds to make Gemini Omni + Claude Code is f*cking wild. i built a system that turns any product into an end-to-end AI animated ad in ANY style you want.. claymation, pixar-style 3D, anime, paper cutout, lego, you name it you drop in your product photo and a one line pitch and it handles everything end to end. images, video, voiceover, music, captions, all generated with AI inside Claude.. AI animation ads are crushing on Meta right now and everyone still assumes you need an expensive editor with a 3-week turnaround time to make one. you don't. you just need the right workflow. Im making full end to end high quality AI animation ads in under 3 minutes with this system and they work just as hard organically on TikTok, reels and shorts so i packaged the whole thing up… here's what you're getting: > every prompt i used across all 8 steps > the exact tool stack + the order to run it in > style recipes for claymation, pixar, anime, wes anderson, retro cartoon + CGI > one system that works for paid Meta AND organic built across Claude Code and Gemini Omni RT + reply 'STYLES' and i'll send it over (must be following so i can dm)

I just cracked the code on AI animation ads 🤯 every one of these cost me 12 cents and under 20 seconds to make Gemini Omni + Claude Code is f*cking wild. i built a system that turns any product into an end-to-end AI animated ad in ANY style you want.. claymation, pixar-style 3D, anime, paper cutout, lego, you name it you drop in your product photo and a one line pitch and it handles everything end to end. images, video, voiceover, music, captions, all generated with AI inside Claude.. AI animation ads are crushing on Meta right now and everyone still assumes you need an expensive editor with a 3-week turnaround time to make one. you don't. you just need the right workflow. Im making full end to end high quality AI animation ads in under 3 minutes with this system and they work just as hard organically on TikTok, reels and shorts so i packaged the whole thing up… here's what you're getting: > every prompt i used across all 8 steps > the exact tool stack + the order to run it in > style recipes for claymation, pixar, anime, wes anderson, retro cartoon + CGI > one system that works for paid Meta AND organic built across Claude Code and Gemini Omni RT + reply 'STYLES' and i'll send it over (must be following so i can dm)

Miko

111,507 次观看 • 29 天前

What about a 2 day version? After Andrew Price posted about the two extremes (fully manual vs fully AI car modeling), I wanted to try a hybrid approach. Not sure if his examples were more film or game-focused, but I’m aiming for a game-ready asset. Using AssetHub for the main workflow hub. Because of the canvas and part splitting tools , iterating is smooth here. Generating high poly meshes with Tripo inside AssetHub. Retopoly with Hunyuan 3D Studio. Texturing with Trellis2 in ComfyUI. Did some manual modeling for the rims since i still dont trust AI generated rims being 100% circular😄 Assembly in Blender. End result: car exterior + interior 36K tris. Wheels total still 32K hehe. I’d bake those tire detail normals onto a simple cylinder next. In UEFN / Unreal Engine i used a clear coat material to give the car some nice reflections. Is it perfect? No. retopo and texturing are still the weak spots, but that gap is closing. Would I use this in a game? 100%! (after improving the tires). If you want to try AssetHub, you can sign up and use JR1627 to skip the waitlist.

What about a 2 day version? After Andrew Price posted about the two extremes (fully manual vs fully AI car modeling), I wanted to try a hybrid approach. Not sure if his examples were more film or game-focused, but I’m aiming for a game-ready asset. Using AssetHub for the main workflow hub. Because of the canvas and part splitting tools , iterating is smooth here. Generating high poly meshes with Tripo inside AssetHub. Retopoly with Hunyuan 3D Studio. Texturing with Trellis2 in ComfyUI. Did some manual modeling for the rims since i still dont trust AI generated rims being 100% circular😄 Assembly in Blender. End result: car exterior + interior 36K tris. Wheels total still 32K hehe. I’d bake those tire detail normals onto a simple cylinder next. In UEFN / Unreal Engine i used a clear coat material to give the car some nice reflections. Is it perfect? No. retopo and texturing are still the weak spots, but that gap is closing. Would I use this in a game? 100%! (after improving the tires). If you want to try AssetHub, you can sign up and use JR1627 to skip the waitlist.

Jerome | InsaneUnreal

26,229 次观看 • 2 个月前

2 days ago I was so excited to work on this customizable vtuber model. But now I dont even know if I should continue working on it. So what happened between now and 2 days ago? I found out my first customizable vtuber model was being distributed for free. I've been exhausting my time filing DMCA claims to get links taken down and accounts banned. Filing DMCA to google to get these sites removed off their search engines as these websites not only steal my work but the work of other vtuber artists to distribute them illegally. Not to mention filing DMCA with website hosts to attempt to get these websites taken down permanantly. It's been tiring and my brain is still running off adrenaline and fustration. I and other artists work hours, days and months on end on these projects. Only for a bad few to reap the benefits of our work or to diminish it's value. I want to end on a positive and add that I am very thankful to google and the other website hosts that took quick action in regards to this matter. I am also extremely thankful to those of you who have supported my work and know in no way is this directed towards you. I just feel a little defeated at the moment and needed a lil rant >:) ♡ #Live2DWIP #vtubermodel #vtuberartist

2 days ago I was so excited to work on this customizable vtuber model. But now I dont even know if I should continue working on it. So what happened between now and 2 days ago? I found out my first customizable vtuber model was being distributed for free. I've been exhausting my time filing DMCA claims to get links taken down and accounts banned. Filing DMCA to google to get these sites removed off their search engines as these websites not only steal my work but the work of other vtuber artists to distribute them illegally. Not to mention filing DMCA with website hosts to attempt to get these websites taken down permanantly. It's been tiring and my brain is still running off adrenaline and fustration. I and other artists work hours, days and months on end on these projects. Only for a bad few to reap the benefits of our work or to diminish it's value. I want to end on a positive and add that I am very thankful to google and the other website hosts that took quick action in regards to this matter. I am also extremely thankful to those of you who have supported my work and know in no way is this directed towards you. I just feel a little defeated at the moment and needed a lil rant >:) ♡ #Live2DWIP #vtubermodel #vtuberartist

Chisa ♡ Live2D Artist

54,418 次观看 • 1 年前