video model · hunyuanvideo · Windows
Can I run HunyuanVideo on AMD Ryzen AI Halo (128GB)?
Yes. HunyuanVideo runs on AMD Ryzen AI Halo (128GB) at Q4 GGUF (~16 GB of ~96 GB usable).
Runs at Q4 GGUF using ~16 GB of ~96 GB usable.
- Peak VRAM
- ~16 GB
- Usable on device
- ~96 GB
- Device memory
- 128 GB
- Quant
- Q4 GGUF
How to run it
Use ComfyUI at Q4 GGUF. The big text encoder is loaded to encode your prompt, then offloaded before generation, which is why peak VRAM stays near the backbone size rather than the sum of every file.
- Type
- video (DIT)
- Parameters
- 13B
- Peak VRAM
- ~16 GB at Q4 GGUF
- Resolution
- 544×960
- License
- Tencent Hunyuan Community License
- Memory
- 128 GB unified
- Usable for weights
- ~96 GB
- Power draw
- ~120 W
- Best runtime
- llama.cpp (Vulkan/ROCm) / LM Studio
You could also run
Run HunyuanVideo on other hardware
FAQ
Can AMD Ryzen AI Halo (128GB) run HunyuanVideo?
Yes. HunyuanVideo runs on AMD Ryzen AI Halo (128GB) at Q4 GGUF (~16 GB of ~96 GB usable).
How much VRAM does HunyuanVideo need?
AMD Ryzen AI Halo (128GB) has room to spare. At Q4 GGUF the realistic peak is ~16 GB of VRAM, versus ~60 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~8 GB, much slower.
What do I use to run HunyuanVideo locally?
HunyuanVideo runs in ComfyUI. It loads as a video diffusion checkpoint plus its text encoder and VAE, not a single chat command.
Sources
VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-08-03. See methodology.