https://github.com/comfyanonymous/ComfyUI
https://github.com/ltdrdata/ComfyUI-Manager
https://www.thinkdiffusion.com
Videos, shortcuts and details in the post!
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https://developer.nvidia.com/blog/high-fidelity-3d-mesh-generation-at-scale-with-meshtron/
Meshtron provides a simple and scalable, data-driven solution for generating intricate, artist-like meshes of up to 64K faces at 1024-level coordinate resolution. This is over an order of magnitude higher face count and 8x higher coordinate resolution compared to existing methods.
https://substack.com/inbox/post/153106976
https://techcrunch.com/2024/12/14/what-are-ai-world-models-and-why-do-they-matter/
A model that can generate the next frame of a 3D scene based on the previous frame(s) and user input, trained on video data, and running in real-time.
World models enable AI systems to simulate and reason about their environments, pushing forward autonomous decision-making and real-world problem-solving.
The key insight is that by training on video data, these models learn not just how to generate images, but also:
Some companies, like World Labs, are taking a hybrid approach: using World Models to generate static 3D representations that can then be rendered using traditional 3D engines (in this case, Gaussian Splatting). This gives you the best of both worlds: the creative power of AI generation with the multiview consistency and performance of traditional rendering.
https://github.com/ZachGoldberg/Startup-CTO-Handbook
You can buy the book on Amazon or Audible
Hi, thanks for checking out the Startup CTO’s Handbook! This repository has the latest version of the content of the book. You’re welcome and encouraged to contribute issues or pull requests for additions / changes / suggestions / criticisms to be included in future editions. Please feel free to add your name to ACKNOWLEDGEMENTS if you do so.
https://jixuan-fan.github.io/Momentum-GS_Page
https://github.com/Jixuan-Fan/Momentum-GS
A novel approach that leverages momentum-based self-distillation to promote consistency and accuracy across the blocks while decoupling the number of blocks from the physical GPU count.
https://aivideo.hunyuan.tencent.com
https://github.com/Tencent/HunyuanVideo
Unlike other models like Sora, Pika2, Veo2, HunyuanVideo’s neural network weights are uncensored and openly distributed, which means they can be run locally under the right circumstances (for example on a consumer 24 GB VRAM GPU) and it can be fine-tuned or used with LoRAs to teach it new concepts.
Every Project I work on I always create a stylization Cheat sheet. Every project is unique but some principles carry over no matter what. This is a sheet I use a lot when I work on isometric stylized projects to help keep my assets consistent and interesting. None of these concepts are my own, just lots of tips I learned over the years. I have also added this to a page on my website, will continue to update with more tips and tricks, just need time to compile it all :)
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