image model · stable-diffusion · Windows
Can I run Stable Diffusion XL 1.0 on AMD Ryzen AI Halo (128GB)?
Yes. Stable Diffusion XL 1.0 runs on AMD Ryzen AI Halo (128GB) at fp16 (~7.5 GB of ~96 GB usable).
Runs at fp16 using ~7.5 GB of ~96 GB usable.
- Peak VRAM
- ~7.5 GB
- Usable on device
- ~96 GB
- Device memory
- 128 GB
- Quant
- fp16
How to run it
Use ComfyUI or AUTOMATIC1111 / Forge at fp16. It conditions on an image, not a text prompt; the pipeline offloads each stage off the GPU between passes, keeping peak VRAM near the active stage.
- Type
- image (UNET)
- Parameters
- 2.6B
- Peak VRAM
- ~7.5 GB at fp16
- Resolution
- 1024×1024
- License
- CreativeML OpenRAIL++-M
- 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 Stable Diffusion XL 1.0 on other hardware
FAQ
Can AMD Ryzen AI Halo (128GB) run Stable Diffusion XL 1.0?
Yes. Stable Diffusion XL 1.0 runs on AMD Ryzen AI Halo (128GB) at fp16 (~7.5 GB of ~96 GB usable).
How much VRAM does Stable Diffusion XL 1.0 need?
AMD Ryzen AI Halo (128GB) has room to spare. At fp16 the realistic peak is ~7.5 GB of VRAM, versus ~8.5 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~4 GB, much slower.
What do I use to run Stable Diffusion XL 1.0 locally?
Stable Diffusion XL 1.0 runs in ComfyUI or AUTOMATIC1111 / Forge (among others). It loads as a diffusion checkpoint plus its image 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.