Skip to content

How much VRAM does Qwen-Image 2.1 need?

Qwen-Image 2.1 needs about 8.7 GB at 8-bit, or 5.8 GB as a 4-bit GGUF, at its default output size.

Type
Image model
Parameters
7.1B
Text encoder
Qwen3-VL-8B-Instruct
Released
Sep 2026
License
Qwen Research License

Memory at each precision

Memory Qwen-Image 2.1 needs at each precision
PrecisionWeightsPeak at 2048 × 2048
16-bit BF1613.3 GB15.1 GB
8-bit FP8 · Q8_06.9 GB8.7 GB
6-bit GGUF Q6_K5.5 GB7.3 GB
5-bit GGUF Q5_K_M4.7 GB6.6 GB
4-bit GGUF Q4_K_M · NVFP44.0 GB5.8 GB

The Qwen3-VL-8B-Instruct text encoder (8.2 GB at FP8) runs first and then waits in system RAM.

What runs it

How Qwen-Image 2.1 runs on common GPUs, Macs and AI boxes
MachineBest fitPer image
RTX 3060 12 GB8-bit9.7 min
RTX 4060 Ti 16 GB16-bit5.6 min
RTX 309016-bit3.5 min
RTX 409016-bit1.5 min
RTX 509016-bit72 s
RTX PRO 6000 Blackwell16-bit31 s
M4 Max 128 GB16-bit16 min
M5 Max 128 GB16-bit4.7 min
Ryzen AI Max+ 395 128 GB16-bit7.1 min
DGX Spark 128 GB16-bit4.0 min
M3 Ultra 256 GB16-bit9.1 min
M5 Ultra 512 GB16-bit2.8 min
H100 SXM16-bit16 s
DGX Station GB30016-bit6.9 s

2048 × 2048, 40 steps. Times are rough, plus or minus 30%.

Where to get it

Questions

How much VRAM does Qwen-Image 2.1 need?

Qwen-Image 2.1 needs about 8.7 GB at 8-bit, or 5.8 GB as a 4-bit GGUF, at its default output size.

Can Qwen-Image 2.1 run on an RTX 4090?

Yes. At 16-bit it takes about 1.5 min per image.

More models