September 22, 2026 · 6 min read

How to Run Qwen-Image 2.1 Locally: One Model That Draws and Edits

Until now, drawing a picture and editing one meant two sets of weights on your disk. Qwen-Image 2.1 does both jobs with the same files, and since Locally Uncensored 3.0.1 it is a one click download in the Model Manager on Windows and Linux. This guide walks through the download, the ComfyUI version it insists on, the two lanes it appears in, and the license you should read before you plan any work around it.

What Qwen-Image 2.1 is, in three sentences

Qwen-Image 2.1 is the image model Alibaba Qwen published on 20 September 2026, and it is the first in the series that generates from a prompt and edits a reference image with one set of weights, with no separate edit model beside it. The image part is a 7B single stream DiT with 32 layers, the text encoder is Qwen3-VL-8B, and the VAE is a new 64 channel design that can carry an alpha channel. The predecessor, the August 2025 Qwen-Image, used a 20B image model and Qwen2.5-VL, so 2.1 is a smaller model rather than a larger one.

What 2.1 adds over everything before it: a native alpha channel, up to ten reference images in a single pass, local edits driven by a drawn marking instead of only a mask, a prefix KV cache that speeds up editing, and better typography. Native 2K rendering carried over from 2.0 in February 2026. Not all of that reaches the app yet, and the honest list of what does not is further down this page.

What it wants from your machine

We have not measured this model ourselves, so the numbers here are quoted, not claimed. As a guide, ai.rs puts the int8 pipeline at roughly 16 GiB in total: about 6.8 GiB for the image model, 8.7 GiB for the text encoder and 0.6 GiB for the VAE. A card with 24 GB holds all three parts resident at once. On a 16 GB card the usual move is to keep the text encoder in system RAM and let the card carry the rest. The full bf16 weights are another class of machine entirely at 33 to 40 GB.

Locally Uncensored ships Windows and Linux builds only, and 3.0.1 is no exception. There is no Mac build of the desktop app.

The three files

The bundle is the int8 repack from Comfy-Org, three files that land in three different ComfyUI folders:

FileFolderSize
qwen_image_2.1_int8_convrot.safetensorsmodels/diffusion_models/7.26 GB as Hugging Face lists it, 6.76 GiB measured
qwen3vl_8b_int8_convrot.safetensorsmodels/text_encoders/9.35 GB listed, 8.71 GiB measured
qwen_image_2.1_vae_bf16.safetensorsmodels/vae/676 MB listed, 0.63 GiB measured

The Model Manager reports the bundle as 16.1 GB. Full bf16 versions of the first two files exist at 14.2 GB and 17.5 GB, and there is a w4a8 variant of the encoder at 6.31 GB; Locally Uncensored uses neither, it installs the int8 set.

Step 1: get 3.0.1

Qwen-Image 2.1 arrived with Locally Uncensored 3.0.1, which has been the Latest release since 22 September 2026. Download it from GitHub Releases, one installer for Windows and three packages for Linux. If you are already on a 3.0.x build, the signed update channel picks it up at the next launch. The install chapter of the handbook lists the file names if you want to check what you downloaded.

Step 2: install the bundle in the Model Manager

Open the Models tab and find the bundle named Qwen-Image 2.1 (Generate and Edit). Its description names the license before you start: Qwen Research License, non-commercial use. One click downloads all three files into the right ComfyUI folders, and the app counts the bundle as installed once the running ComfyUI actually lists the files. That last detail matters: if ComfyUI is stopped, the rails cannot report what is on disk, so start it first.

Step 3: make sure ComfyUI is 0.37.0 or newer

Support for this model landed in ComfyUI 0.37.0, merged on 19 September 2026, and it brought a new encode node, TextEncodeQwenImage21. The old Qwen-Image edit nodes do not fit. If your ComfyUI is older, Locally Uncensored says so in one sentence rather than failing halfway through a graph:

The exact message
Qwen-Image 2.1 needs ComfyUI 0.37.0 or newer. Update ComfyUI in Settings.

Do what it says: Settings, AI Backends, ComfyUI, then "Update ComfyUI". The output panel under the buttons shows what happened. Once the new node is registered, the model becomes selectable.

Step 4: generate in the Image lane

Open Create. The Image lane is the default one. Pick Qwen-Image 2.1 in the model picker; there is no new button and no new tab for it, it sits in the same picker as every other local image model. Write a prompt in the composer, add a negative prompt if you want one, and press Create.

The defaults follow the official template: 25 steps, CFG 1, the euler sampler, the simple scheduler, 1024x1024. CFG below 1 is not usable with this model, so if you go exploring under "Advanced settings", leave that dial alone or raise it rather than lower it. The advanced panel is the same one the other lanes use: Steps, CFG, Width, Height, Seed and Batch size.

Step 5: edit in the Edit lane

Switch to the Edit lane, pick Qwen-Image 2.1 in the picker there, drop in one reference image, and describe the change you want. There is no mask to paint. The mask path is deliberately closed for this model, so the output follows the reference image and the prompt, and the resolution follows the canvas you picked.

If you are used to painting a red area in this lane with an SDXL checkpoint, that habit does not transfer here. It is a different way of working, not a broken one: you say what should change in words instead of drawing where.

The license, stated plainly

Read this before you plan work around it
Qwen-Image 2.1 is published under the Qwen Research License, not Apache 2.0. It covers research and evaluation. Commercial use is not granted without a separate license from Alibaba Qwen. If you need Apache 2.0 terms, Qwen-Image 2512 and Qwen-Image-Edit 2511 are still under Apache 2.0 and still available.

This is the one point worth being blunt about, because the rest of the series trained people to expect Apache. The bundle description in the Model Manager carries the same sentence, so nobody downloads 16 GB and finds out afterwards.

What is not in this release

Locally Uncensored 3.0.1 does not expose everything the model can do. Stated as it stands today, with no promises attached:

And one thing we are not going to put a number on: how long a render takes. Nobody here has timed this model on a card, so any second count you read here would be someone else's. ai.rs reports 5.93 seconds on an RTX 5090, which is their figure on their hardware, not ours.

Download

Locally Uncensored 3.0.1 is free and AGPL-3.0, on GitHub Releases. The Create chapter of the handbook covers the lanes this model joins, and the Qwen-Image 2.1 page collects everything we have written about it.

Related


Locally Uncensored 3.0.1. AGPL-3.0 licensed. Built by PurpleDoubleD. Bug reports and feature requests on GitHub Issues or in the Discord.

One model that draws and edits, on your own card

Download 3.0.1