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Andras Ketzer released a new version of the 2D fluidsim baking plug-in Andras Ketzer, introducing support for Unreal Engine 5.4's Heterogeneous Volumes. Details: #ue5 #unrealengine5 #vfx #fluidninja #gamedev

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80 LEVEL

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35,427 просмотров • 2 лет назад •via X (Twitter)

#ue5#unrealengine5#vfx#fluidninja#gamedev
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The Unreal Engine team released Electric Dreams Environment Sample Project that will let you explore the new Procedural Content Generation framework in Unreal Engine 5.2. More: #unrealengine #unrealengine5 #UE5 #gamedev #indeidev #3dart #gamedevelopment

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Monika Oller tested all three new skeletal mesh deformers in Unreal Engine 5.5 on a MetaHuman face, achieving smooth performance with four layers of animated deformations. Breakdown on the way: #ue5 #unrealengine5 #metahuman #3danimation #animation
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Monika Oller tested all three new skeletal mesh deformers in Unreal Engine 5.5 on a MetaHuman face, achieving smooth performance with four layers of animated deformations. Breakdown on the way: #ue5 #unrealengine5 #metahuman #3danimation #animation

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I just released a new 2D/3D Hybrid Top Down Template for Unreal Engine 5! It comes with Multi-Directional animations set up, an emissive texture and a normal texture for edge lighting, showcasing how all of that works! It’s FREE for a limited time through the link below
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While learning Unreal Engine 5, I decided to port over most of Hyperion to it to see if I could potentially move my workflows over to UE5. Although it worked decently well, it didn't work well enough to allow me to change over entirely. Hyperion is simply too complex of an asset for real-time workflows (or at least is limited due to my knowledge of said workflows). 131 4K-8K UDIMs at over 8 channels and a solid amount of shaders with layering being the biggest bottleneck. I couldn't even match the shading setup to what I have in RenderMan, UE gave me a warning that the material was too complex. I was using the new Substrate materials, which mimic RenderMan LAMA shaders. The render below is using the pathtracer. As you can see there are some random flickering parts which I couldn't fix during my tests. This render of course doesn't have any displacement either (which Hyperion heavily relies on). I think Unreal Engine has a very bright future, but it is still limited by todays hardware technology for high end VFX work. Maybe in a few years I will give it another try when hardware improves and the engine becomes a bit more versatile in feature-set.

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We’ve prepared a new example showing how to create billboarding in your games! 🌲 It includes two modes: - always face the camera - like the smoke ☁️ - lock rotation to a vertical axis - trees and rocks🌲🪨 We combined here 3D models by Kay 🎨 and 2D screenshots of 3D models by Kenney for trees and rocks! Since Defold 1.12.3, custom vertex formats and improved local-space vertices have made proper billboarding much easier in Defold. #MadeWithDefold #vfx #rendering #gameengine #3D #gamedev #indiedev #solodev

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Simulon's Next Chapter 🌌 Thank you for your excitement and invaluable feedback. As we've started to reveal more about Simulon, one thing has become clear: the creative community is ready and eager for a fresh chapter in VFX. In every creative endeavor, there are defining moments—when art meets technology, when vision becomes reality, and when creators discover their tools. This is the essence of Simulon. We're aiming to make cinematic-quality VFX accessible to all creators, no matter their background. Simulon has been 3.5 years in the making and our focus from day one has been to harmonize simplicity and power with the human creator at the core of the experience. What's Next - Closed Beta: We're close to sharing Simulon with a select group of creators and studios to help us finesse the final touches. - Community Insights: Keep an eye out for updates and stories we'll be sharing along the way. Your feedback is crucial as we move toward a version of Simulon available to everyone. - Public Launch: We're gearing up for a full release early next year. It's a significant moment, one that promises a new chapter for all creators. - Knowledge Sharing: In the lead-up to the launch, we will compile a series of tutorials, tips, and maybe a surprise or two, to help you maximize Simulon's potential. - Constant Evolution: in an industry that never stands still, neither will Simulon. Stay tuned for regular updates on our exciting R&D progress across social media. As we enter this new phase, your engagement and support continues to inspire us. Thank you for joining us on this creative journey! The Simulon Team 🌟 (Video shot with Simulon on iPhone)

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Emerging from Silence: A New Dawn After a two-year period of silence, the team behind Anthrometa emerges to announce significant advancements. Our focus has been on refining our vision, and now, we're prepared to unveil our strategic direction. 🕹️We're giving away 0.5 $ETH and 100 $ICP RT, like, and tag a friend for your chance to win ! Community Governance with DAO Central to our transformation is the establishment of a Decentralized Autonomous Organization (#DAO). This structure ensures that each member of our community has a say in Anthrometa's governance, embodying our commitment to collective wisdom and shared governance. Multichain Integration with $ICP and $ETH Our project has expanded to become multichain, integrating with the Internet Computer Protocol ($ICP) and Ethereum ($ETH). This choice was made due to #ICP's exceptional infrastructure, allowing for smart contracts to operate at web speed with heightened security. Gameplay 3.0 with Unreal Engine 5.5 and AI At the heart of our gameplay lies the utilization of #UE5, the most advanced technology for creating immersive universes. This engine powers our environment with unparalleled visual fidelity and dynamic interaction capabilities. Anthrometa : The Advanced Agent Furthermore, we are pioneering the integration of artificial intelligence to form an advanced Agent named Anthrometa. This #AI-driven entity will adapt and learn from player interactions, providing personalized experiences and evolving the game world in real-time, thus blurring the lines between player and game narrative. We aim to tap into the gaming market, which is expected to reach a valuation of over $300 billion by 2027, positioning Anthrometa alongside giants like Axie Infinity and Decentraland. Introducing THE METATRIBES: REBORN REBORN's battle royale mode departs from the conventional, eschewing modern firearms like those found in #Fortnite or #CallofDuty. Instead, players will engage in combat using ancestral weapons, focusing on authentic, melee-based encounters. The gameplay emphasizes strategic positioning, tactical thinking, and mastery of ancient combat techniques, making every battle a test of wits and skill rather than just firepower. This approach invites players into a realm where strategy reigns supreme, and every fight is a dance of survival and cunning. If you read this, you are early Join us in shaping a future where technology and community converge. Your support has been invaluable during our silence, and now, with renewed purpose, #Anthrometa returns. Don't miss our update on December 4th; follow, turn on notifications, and engage to be part of it.

The Metatribes : Reborn

12,202 просмотров • 1 год назад

Throughout my journey in developing multimodal models, I’ve always wanted a framework that lets me plug & play modality encoders/decoders on top of an auto-regressive LLM. I want to prototype fast, try new architectures, and have my demo files scale effortlessly — with full support for parallelism and optimization. Not just to hack⚙️, but also to scale🚀. So finally we built it for ourselves. LMMs-Engine: a lean, efficient framework built to train unified multimodal model at scale. From Qwen LLM, VLM, LLaVA-OV, and WanVideo, to unified models like Qwen-Omni and BAGEL — plus Linear-Attn GDN and research prototypes like RAE and SiT - all under one modular system that seamlessly integrates diverse datasets and optimization strategies. Powered by FSDP2 multi-dim parallelism, Ulysses sequence parallel, Flash-Attention, Liger Kernels, and Native Sparse Attention (also with bonus support for the Muon optimizer for all models).
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Throughout my journey in developing multimodal models, I’ve always wanted a framework that lets me plug & play modality encoders/decoders on top of an auto-regressive LLM. I want to prototype fast, try new architectures, and have my demo files scale effortlessly — with full support for parallelism and optimization. Not just to hack⚙️, but also to scale🚀. So finally we built it for ourselves. LMMs-Engine: a lean, efficient framework built to train unified multimodal model at scale. From Qwen LLM, VLM, LLaVA-OV, and WanVideo, to unified models like Qwen-Omni and BAGEL — plus Linear-Attn GDN and research prototypes like RAE and SiT - all under one modular system that seamlessly integrates diverse datasets and optimization strategies. Powered by FSDP2 multi-dim parallelism, Ulysses sequence parallel, Flash-Attention, Liger Kernels, and Native Sparse Attention (also with bonus support for the Muon optimizer for all models).

Brian Li

54,840 просмотров • 10 месяцев назад