Wan 2.2 S2V 14B (speech to video) on AMD Ryzen Embedded R1600 NAS (32 GB)
Can the AMD Ryzen Embedded R1600 NAS (32 GB) run Wan 2.2 S2V 14B (speech to video)?
Barely: it runs very slowly
Very slow. At Q4 GGUF it needs about 21.6 GB of 26.2 GB usable and takes about 91.1 h per clip.
- Best precision
Q4 GGUF- Memory mode
- Everything on GPU
- Time per clip
- 91.1 h
- Output
- 832×480, 81 frames, 40 steps
Download Wan 2.2 S2V 14B (speech to video)
Recommended for the AMD Ryzen Embedded R1600 NAS (32 GB): q4_gguf. Every other precision has its own download link in the table below.
Quantized files · GGUF for ComfyUI
Smaller GGUF versions for ComfyUI (with the ComfyUI-GGUF node). No sign-in needed; the model’s license still applies.
Download the q4_gguf (Q4_K_S) file (opens in a new tab)
huggingface.co/QuantStack/Wan2.2-S2V-14B-GGUF (opens in a new tab)
Original weights · Hugging Face
Full-precision files from Alibaba, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.
Official repo · GitHub
Reference code, inference scripts and docs from Alibaba. The weights themselves download from Hugging Face.
github.com/Wan-Video/Wan2.2 (opens in a new tab)
git clone https://github.com/Wan-Video/Wan2.2How it’s rated
Match score
To order lists, each result also gets a match score out of 100 from four parts. It favors the most capable model that still runs well.
| Model quality | 31.8 / 45 | |
|---|---|---|
| Memory fit | 25.0 / 25 | |
| Speed | 0.4 / 15 | |
| Memory use | 15.0 / 15 | |
| Match score | 72.2 / 100 |
Every precision on the AMD Ryzen Embedded R1600 NAS (32 GB)
| Quant | Memory needed | Available | Speed | Memory mode | Runs | Quality | Download |
|---|---|---|---|---|---|---|---|
FP16 | 17.0 GB | 26.2 GB | 98.7 h | Sequential CPU offload | Very slowCPU offload | 76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 61/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
FP8 | 22.1 GB | 26.2 GB | 71.7 h | Text encoder offloaded | Very slowencoder unloaded after use | 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 68/100 (quality, fit, speed and memory use) sets the ranking. | Original weights (opens in a new tab) |
Q8 GGUF | 23.3 GB | 26.2 GB | 91.6 h | Text encoder offloaded | Very slowtight fit · encoder unloaded after use | 75Great quality (A) · 75 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Q4 GGUF | 21.6 GB | 26.2 GB | 91.1 h | Everything on GPU | Very slow | 70Great quality (A) · 70 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. | GGUF (opens in a new tab) |
Other hardware that runs it
-
74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA RTX PRO 6000 Blackwell
-
76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA H100 80GB SXM
-
76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA H800 80GB SXM
-
76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA GH200 Grace Hopper (96 GB GPU)
-
76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 75/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA H200 141GB SXM
-
76Great quality (A) · 76 of 100: how capable the model is at FP16, whatever it runs on. Match score 73/100 (quality, fit, speed and memory use) sets the ranking.
NVIDIA B200
Quick answers
How much memory does Wan 2.2 S2V 14B (speech to video) need on the AMD Ryzen Embedded R1600 NAS 32GB?
At Q4 GGUF it needs about 21.6 GB. The AMD Ryzen Embedded R1600 NAS 32GB has 26.2 GB usable.
How long does Wan 2.2 S2V 14B (speech to video) take on the AMD Ryzen Embedded R1600 NAS 32GB?
About 91.1 h per clip at Q4 GGUF and default settings, an estimate scaled from a reference timing by this hardware’s compute speed.
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.