Wan 2.2 S2V 14B (speech to video) on AMD Radeon RX 9060 XT 8GB

Can the AMD Radeon RX 9060 XT 8GB run Wan 2.2 S2V 14B (speech to video)?

9 pts

No, it doesn’t fit

No. Wan 2.2 S2V 14B (speech to video) needs about 9.0 GB even at Q4 GGUF; the AMD Radeon RX 9060 XT 8GB has 8.0 GB usable.

Download Wan 2.2 S2V 14B (speech to video)

Recommended: 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.

huggingface.co/Wan-AI/Wan2.2-S2V-14B (opens in a new tab)

No sign-in needed.

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/Wan2.2

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the F grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	9.5 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	0.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	0.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	0.0 / 15
Total	9.5 / 100	9 ptsWon't run (F) · 9 of 100 points: Model quality 9.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15

It doesn’t fit, so only a reduced share of the quality points counts and fit, speed and memory use score zero.

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every precision on the AMD Radeon RX 9060 XT 8GB

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	17.0 GB	8.0 GB	—	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)
`FP8`	11.3 GB	8.0 GB	—	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.1/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)
`Q8 GGUF`	11.7 GB	8.0 GB	—	—	Won't run	10 ptsWon't run (F) · 10 of 100 points: Model quality 10.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)
`Q4 GGUF`	9.0 GB	8.0 GB	—	—	Won't run	9 ptsWon't run (F) · 9 of 100 points: Model quality 9.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (opens in a new tab)

Hardware that can run it

78 ptsGreat (A) · 78 of 100 points: Model quality 33.5/45, Memory fit 23.0/25, Speed 7.3/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 FP8 · 12.5 min
78 ptsGreat (A) · 78 of 100 points: Model quality 34.2/45, Memory fit 25.0/25, Speed 7.4/15, Memory use 12.1/15 NVIDIA RTX PRO 6000 Blackwell FP16 · 12.2 min
75 ptsGreat (A) · 75 of 100 points: Model quality 34.2/45, Memory fit 25.0/25, Speed 4.6/15, Memory use 12.1/15 AMD Ryzen AI Max+ 395 (128 GB) FP16 · 32.0 min
75 ptsGreat (A) · 75 of 100 points: Model quality 33.9/45, Memory fit 25.0/25, Speed 1.9/15, Memory use 15.0/15 Apple M4 Pro (48 GB) Q8 GGUF · 3.1 h
75 ptsGreat (A) · 75 of 100 points: Model quality 31.8/45, Memory fit 23.0/25, Speed 5.8/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 Q4 GGUF · 20.0 min
75 ptsGreat (A) · 75 of 100 points: Model quality 33.9/45, Memory fit 25.0/25, Speed 2.5/15, Memory use 14.1/15 Apple M4 Max (64 GB) Q8 GGUF · 1.9 h

Models that do run on the AMD Radeon RX 9060 XT 8GB

72 ptsGreat (A) · 72 of 100 points: Model quality 22.1/45, Memory fit 20.0/25, Speed 15.0/15, Memory use 15.0/15 LTX-Video 2B FP8 · 51 s
69 ptsGood (B) · 69 of 100 points: Model quality 19.8/45, Memory fit 20.0/25, Speed 15.0/15, Memory use 15.0/15 CogVideoX 2B FP8 · 2.0 min
69 ptsGood (B) · 69 of 100 points: Model quality 15.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 13.6/15 AnimateDiff v3 (SD 1.5) FP16 · 43 s
66 ptsGood (B) · 66 of 100 points: Model quality 24.3/45, Memory fit 18.0/25, Speed 9.1/15, Memory use 15.0/15 Wan 2.1 T2V 1.3B FP8 · 8.1 min
60 ptsGood (B) · 60 of 100 points: Model quality 24.3/45, Memory fit 12.0/25, Speed 9.5/15, Memory use 15.0/15 CogVideoX 5B FP8 · 7.5 min

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.