video model · cogvideox · Windows
Can I run CogVideoX-5B on AMD Ryzen AI Halo (128GB)?
Yes. CogVideoX-5B runs on AMD Ryzen AI Halo (128GB) at INT8 / fp8 (~16 GB of ~96 GB usable).
Runs at INT8 / fp8 using ~16 GB of ~96 GB usable.
- Peak VRAM
- ~16 GB
- Usable on device
- ~96 GB
- Device memory
- 128 GB
- Quant
- INT8 / fp8
How to run it
Use Diffusers or ComfyUI at INT8 / fp8. 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
- 5B
- Peak VRAM
- ~16 GB at INT8 / fp8
- Resolution
- 720×480
- License
- CogVideoX 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 CogVideoX-5B on other hardware
FAQ
Can AMD Ryzen AI Halo (128GB) run CogVideoX-5B?
Yes. CogVideoX-5B runs on AMD Ryzen AI Halo (128GB) at INT8 / fp8 (~16 GB of ~96 GB usable).
How much VRAM does CogVideoX-5B need?
AMD Ryzen AI Halo (128GB) has room to spare. At INT8 / fp8 the realistic peak is ~16 GB of VRAM, versus ~26 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~5 GB, much slower.
What do I use to run CogVideoX-5B locally?
CogVideoX-5B runs in Diffusers or 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.