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Qwen Image 2.1: A model that generates and edits images.
Alibaba’s Qwen team presents an open source text-to-image generation model that can also perform image editing — all within a single pipeline.
Alibaba’s Qwen team has published their Qwen-Image-2.1 model which can generate images from texts and edit images based on texts. All you need is just a piece of description about the image to synthesize a new image or use an image and a text to edit some parts of it. Besides, you can edit some parts of the image via brushes or masks. Meanwhile, this model can preserve the faces or product information in the image (up to 10 images of the same face/product) while editing. Moreover, this model supports transparent images, allowing you to place images on other contents or remove some products from the image. The resolution of synthesized images is up to 2752 x 1536 pixels. You can run this model offline via ComfyUI. And here’s the workflow of this model shared by Comfy-Org.
Why a vibe-coder should care
If you want to produce some contents daily like posting on social medias, setting background images, or product images, this model is powerful enough to satisfy your needs especially when you do not have any paid tools. With this model, you can edit some parts of the image instead of generating a whole new one, which is quite convenient. Even though the quality of images produced by this model is lower than that of paid models, it’s still good enough for most of your daily needs.
How to install
Copy this and send it to your agent — Claude Code, Codex, any of them:
Install Qwen Image 2.1 locally via ComfyUI: https://huggingface.co/Comfy-Org/Qwen-Image-2.1 - set it up through the ComfyUI model manager and show me how to generate an image from a text prompt.
A regular laptop with 16 GB of RAM or more - the quantized version takes about 4 GB of memory.
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