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Qwen-Image

Alibaba · Image generation · 20B · Released 4 August 2025

Commercial use permitted TextImage Open weights Apple Silicon

Alibaba's 20-billion-parameter image model, notable for strong text rendering and a permissive Apache 2.0 licence. It is designed to fit under 16GB with quantisation, and generates a 1024px image in a handful of steps.

Strengths

  • Strong at rendering readable text within images
  • Apache 2.0, so fully usable commercially
  • Fast, few-step generation, and designed to fit consumer cards

Weaknesses

  • A 20B model is heavy at full precision
  • A smaller fine-tune and LoRA ecosystem than SDXL
  • Newer, so local tooling and community resources are still maturing

Hardware requirements

QuantisationApprox. VRAMNotes
GGUF Q4~14GBQuantised, designed to fit under 16GB with offloading
FP8~20GBA good balance on a 24GB card

Optimised builds available for Apple Silicon.

What you'd need to run this

Roughly what a machine to run this would need, at up to three levels of quality. Memory is the deciding factor.

Minimum to run it

GGUF Q4 · ~14GB needed

One 24GB GPU

NVIDIA Tesla P40

or a Mac or mini-PC with unified memory, if you prefer no discrete GPU, Mac mini M5 Pro .

32–64GB of system RAM alongside the card.

around £700–£1,100

What else 24GB runs →

Best quality

FP8 · ~20GB needed

One 24GB GPU

NVIDIA Tesla P40

or a Mac or mini-PC with unified memory, if you prefer no discrete GPU, Mac mini M5 Pro .

32–64GB of system RAM alongside the card.

around £700–£1,100

What else 24GB runs →

Licence

Apache 2.0 read the licence

Qwen-Image: common questions

What hardware do I need to run Qwen-Image?
At its most compressed (GGUF Q4) it needs roughly 14GB of VRAM, and about 20GB for good quality. VRAM figures are approximate and depend on context length and settings.
Is Qwen-Image free for commercial use?
Yes. Qwen-Image is licensed under Apache 2.0, which permits commercial use with no meaningful conditions.
Can I run Qwen-Image on Apple Silicon?
Yes. Qwen-Image has builds optimised for Apple Silicon, through MLX or GGUF on a Mac.

Availability

Recommended for

  • Commercial image work needing a permissive licence
  • Images that depend on accurate text
  • Users with a 16GB or 24GB card who want an alternative to FLUX

Related models

Run it with

Related guides

Glossary

Catalogue entry last verified 30 July 2026. Specifications change; verify anything you are about to spend money on.