image model · stable-diffusion · Windows

Can I run Stable Diffusion 3.5 Large on AMD Ryzen AI Halo (128GB)?

Compatibility verdict VRAM check

Yes, it runs fast on this GPU

Yes. Stable Diffusion 3.5 Large runs on AMD Ryzen AI Halo (128GB) at Q4 GGUF (~7 GB of ~96 GB usable).

Needs ~7 GB Device usable ~96 GB

Runs at Q4 GGUF using ~7 GB of ~96 GB usable.

Peak VRAM: ~7 GB
Usable on device: ~96 GB
Device memory: 128 GB
Quant: Q4 GGUF

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How to run it

Use ComfyUI or Draw Things 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.

Model stable-diffusion

Type: image (MMDIT)
Parameters: 8.1B
Peak VRAM: ~7 GB at Q4 GGUF
Resolution: 1024×1024
License: Stability Community License

Full Stable Diffusion 3.5 Large requirements →

Device Windows

Memory: 128 GB unified
Usable for weights: ~96 GB
Power draw: ~120 W
Best runtime: llama.cpp (Vulkan/ROCm) / LM Studio

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You could also run

Run Stable Diffusion 3.5 Large on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)iPhone 17 Pro iPhone Air Apple M2 (16GB)Apple M4 (16GB)

FAQ

Can AMD Ryzen AI Halo (128GB) run Stable Diffusion 3.5 Large?

Yes. Stable Diffusion 3.5 Large runs on AMD Ryzen AI Halo (128GB) at Q4 GGUF (~7 GB of ~96 GB usable).

How much VRAM does Stable Diffusion 3.5 Large need?

AMD Ryzen AI Halo (128GB) has room to spare. At Q4 GGUF the realistic peak is ~7 GB of VRAM, versus ~19 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 Stable Diffusion 3.5 Large locally?

Stable Diffusion 3.5 Large runs in ComfyUI or Draw Things (among others). It loads as a 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.