In this video, I compare OpenAI's Sora with Hunyuan bf16, and the results might surprise you! Despite being a quantized version of a much larger model, Hunyuan manages to come impressively close in performance. The Sora videos are directly from the OpenAi website. The Hunyuan videos were made on my local machine w/ a RTX 4090.
Hunyuan is specifically designed for smaller, single GPUs, running on just 16-24GB VRAM thanks to FP8 and FP16 optimizations. However, it’s important to note that this is a reduced version. The full-scale Hunyuan model requires a massive 40-65GB VRAM! Imagine how incredible those results must be!
On the other hand, OpenSora showcases cutting-edge advancements, proving why it’s a leader in this space. But Hunyuan’s quantized version shows that open-source innovation is catching up fast.
Check out the side-by-side comparisons, and let me know in the comments which one impresses you more!
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💡 Want to explore these models yourself?
See the OpenAI Sora FAQ here: https://openai.com/sora/
Here's a tutorial to install Hunyan on your system: https://youtu.be/5eFCbAq67mU?si=-vnrwCELTFetYe2o
Here's a quick-start installation if you just want to get-going-fast: https://www.patreon.com/posts/hunyuan-comfyui-117605929
🔔 Don’t forget to like, subscribe, and share your thoughts in the comments!
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------ Helpful Video Tutorials -----
VS Build Tools 2019 - Cleanest / Easiest Install Ever: https://youtu.be/TUS4A-XsAPo
Installing Cuda: https://youtu.be/_GpyoEbs3Hs
Installing CuDNN: https://youtu.be/RY2mEbi7PJc
Fresh AI Setup (Windows): https://youtu.be/4aCtOVcvcj4
Installing Miniconda: https://youtu.be/ULAVtKBOKXE
Installing Python: https://youtu.be/1CdeBbk9A2k
Insalling Git: https://youtu.be/xxVOm3ndeSU
Installing WSL: https://youtu.be/3GNqg3GdEKA
Installing Llama.cpp: https://youtu.be/r-05yuXTEPE