Qwen Image Upscaler
Upscale Qwen Image Edit outputs to 4K in under 15 seconds. Also available in API .
Qwen Image is an open-source image model family from Alibaba’s Qwen team. MyArchitectAI is not affiliated with, endorsed by, or connected to Alibaba in any way. This tool upscales images from Qwen Image, Qwen Image Edit, or any other AI image generator.
How to upscale Qwen Image outputs
01
Upload your image
Drag in a JPG, PNG, or WebP file, or click to browse. There are sample renders if you just want to test it. No account needed.
02
Pick the upscale factor
2x doubles each dimension, which covers most screen and presentation use. 4x takes a 1024px Qwen Image output to 4096px, enough for print.
03
Download the result
It takes about 15 seconds to upscale your image. Compare before and after with the slider, then download the full-resolution file. The first one is free, no signup.
Why upscale Qwen outputs?
Qwen Image is the open-source image model family from Alibaba’s Qwen team: the base generation model, the hugely popular Qwen Image Edit line, and a few specialist variants. Generation lands around 1.3–1.7MP depending on aspect ratio. The newer Qwen Image 2.0 reaches 2K natively, but only through paid APIs. None of them upscale.
Editing is where the resolution problem really bites. The standard Qwen Image Edit pipeline resizes everything to about 1MP on the way out, no matter what you feed it; put a 12MP photo in and roughly 1000×1000 pixels come back. Self-hosters patch around it with custom nodes and LoRAs. If you’d rather not maintain a workflow, MyArchitectAI's upscaler is the other route: run your edit, upload the result, and take it to 4K with 2x or 4x.
Renders and concept art are a special case. Hard edges and glazing reflections are exactly what smears at low resolution, and simple bicubic interpolation can’t bring them back.
What the AI upscaler does
Adds detail instead of stretching pixels
The AI upscaler model was trained on of low- and high-resolution images, so it fills in texture and edge detail rather than averaging neighboring pixels. You can see the difference in things like grout lines and wood grain, which stay crisp instead of blurring out.
Generates a style-faithful output
The upscaler sharpens what’s already there without repainting anything. Color and composition stay put. Your image comes back as a cleaner version of itself.
Optimized for architecture and interior design
MyArchitectAI's upscaler handles renders from SketchUp, Lumion, Enscape, and Twinmotion, plus anything straight out of Gemini and Qwen. Hard geometry and linework stay intact instead of getting the “oil painting” softening that general-purpose upscalers apply.
What people use it for
Most Qwen users who end up here fall into one of these situations.
Client presentations and pitch decks
A 1024px image looks soft on a 4K screen or when projected in a boardroom. Upscaling before you export the PDF means the renders hold up where it matters.
Print portfolios and brochures
A4 print at 300 DPI needs roughly 2480 × 3508px. A 1024px image printed that large looks pixelated. 4x upscaling closes that gap without a reshoot.
Real estate listings
Property portals penalize low-resolution photos in their ranking. An upscaled interior or exterior render reads better than the same image at 1K, especially on listing detail pages.
Competition boards
Architecture competitions usually specify minimum image sizes. If your Qwen Image renders came out at 1K, upscaling to 4K before compositing into the board avoids quality mismatches.
Social media and editorial
Instagram, Behance, and design publications prefer images at 2048px or wider. Upscaling your Qwen Image outputs means it fills the frame instead of getting centered with white bars.
Pre-press and signage
Banners and site hoardings print at low DPI but at very large sizes, so the pixel count still needs to be high. 4x from 1K covers most mid-size signage.
Integrate MyArchitectAI's upscaler into your app
Give users lightning-fast upscaling experience without the complexity or wait times with a single API call. Plus, get access to other archviz tools like rendering, editing, and more.
Frequently asked questions
Why do Qwen Image Edit outputs come back at 1MP?
The standard Edit pipeline, including the official ComfyUI node, resizes every image to about 1MP before processing, whatever the input size. A 12MP photo goes in, roughly 1000×1000 pixels come out. The model itself can handle much larger images; the cap sits in the tooling, and there’s no official fix yet. The two ways around it: community LoRAs and custom nodes if you self-host, or run the edit as-is and upscale the result here.
Can Qwen Image Edit upscale images?
Sort of. There’s no upscale function built in, but community LoRAs like the Upscale2K adapters let you prompt Edit-2509 or 2511 to enlarge a picture, typically landing around 2K. It works, with two catches: it re-diffuses the image, so details can shift, and it needs a self-hosted workflow with the VRAM to match. For a faithful enlargement with no setup, upload the image here instead.
What resolution does Qwen Image generate at?
The open models generate around 1.3–1.7MP depending on aspect ratio; 1:1 comes out at 1328×1328. Qwen Image 2.0 reaches 2048×2048, but only through paid APIs. No Qwen model has native upscaling, so anything bigger means an external pass.
Is this the official Qwen upscaler?
No. This tool is made by MyArchitectAI and has no connection to Alibaba, and there’s no official Qwen upscaler; the community fills the gap with LoRAs and ComfyUI nodes. Ours works on outputs from Qwen Image, Qwen Image Edit, or any other generator.
What upscaling model does this run?
Our own custom-trained super-resolution model, running at 2x or 4x. It does faithful upscaling: it sharpens what’s there rather than re-diffusing the image, so your composition doesn’t drift.
How does this compare to the Qwen upscale LoRAs and ComfyUI workflows?
The community Upscale2K LoRAs for Edit-2509 and 2511 work well if you self-host, and they typically target around 2K output. This page goes to 4K and needs no workflow: no VRAM, no node graph, works from a laptop or a phone. LoRA-based upscaling re-diffuses the image, which can shift details; this stays faithful to the input.
Is it really free?
Your first upscale is free, full-resolution download included, with no account. Both 2x and 4x are available on that first use. After that you need a subscription. Most tools in this category make you sign up for credits before you see anything; here you can test the quality on your own image first.
Can I use upscaled images commercially?
From our side, yes. We claim no rights to anything you upload or download. The open Qwen Image models are Apache 2.0, which permits commercial use of outputs; images from the API-only Qwen Image 2.0 fall under Alibaba’s API terms, so check those for your case.
Does it work on renders from SketchUp, Revit, or Lumion?
Yes. It handles renders exported from SketchUp, Revit, Lumion, Enscape, or Twinmotion, plus Nano Banana, Midjourney, and Stable Diffusion outputs. The page name aside, it isn’t limited to Midjourney images. Renders are actually one of the better use cases because hard geometry and glazing survive the process instead of getting softened.