Qwen-Image-Edit-2509
Qwenapache-2.0textvision

Qwen-Image-Edit-2509

Updated Nov 13, 2026
Parameters
20.4B
Context
8,192
License
apache-2.0
Updated
Nov 13, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at Q5_K_M
2 of 4 quantizations fit Qwen-Image-Edit-2509 with real runtime overhead.
Q4_K_M
12 GB
Q5_K_M
14 GB
Q8_0
22 GB
FP16
41 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve Qwen/Qwen-Image-Edit-2509

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Qwen-Image-Edit-2509 is an open-weight image editing model from Qwen, published on Hugging Face in September 2025. It has 20.4B parameters and is released under the apache-2.0 license.

HardwareLink to this section

At full FP16 precision the weights need about 41 GB of memory; 8-bit quantization brings that to roughly 22 GB. Check the VRAM tiers above to see which GPUs fit it.

PopularityLink to this section

Qwen-Image-Edit-2509 had 566,339 downloads on Hugging Face in the last month and has 1,268 likes.

Run it locallyLink to this section

The weights are on Hugging Face and load with Hugging Face Diffusers (or ComfyUI). Follow the model card for the exact setup and license terms.

Frequently asked

Quick answers to common questions

How much VRAM does Qwen-Image-Edit-2509 need?

Qwen-Image-Edit-2509 with 20.4B parameters needs approximately 12 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is Qwen-Image-Edit-2509 better than other Qwen models?

Qwen-Image-Edit-2509 has 20.4B parameters with 8,192 context - a strong choice for image-editing.

What license is Qwen-Image-Edit-2509 under?

Qwen-Image-Edit-2509 is released under the apache-2.0 license, making it suitable for most commercial and personal projects.

What hardware runs Qwen-Image-Edit-2509 well?

With 20.4B parameters, Qwen-Image-Edit-2509 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Qwen-Image-Edit-2509?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~14 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

What models compete with Qwen-Image-Edit-2509?

Qwen-Image-Edit-2509 competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec