Qwen Image is the image line from Alibaba's Qwen team, the same group behind the Qwen language models, and it made its name on one thing other generators kept fumbling: words inside the picture, in Chinese as well as English. This page runs three of its models — Qwen Image 3.0, Qwen Image 3.0 Pro and the open-weight Qwen Image 2.1 — across a full prompt list in a single batch.
One per line — each line is a separate prompt.
Drag & drop or click to upload — PNG / JPEG / WEBP / GIF, up to 10MB each.
The version numbers here do not line up with release order, and that trips people up. Two branches run side by side: a closed API line that got the 3.0 number, and an open-weight line that is still on 2.x. Knowing which is which explains most of the differences in the table below.
The first Qwen Image arrived in August 2025 as a 20-billion-parameter MMDiT model under Apache 2.0, and its README singled out text rendering, especially Chinese, as the headline result. That reputation for legible characters inside a scene is what the whole family has been built outward from.
Alibaba announced Qwen Image 3.0 in July 2026 with a different goal: images that carry information. Its launch material shows infographic grids, small print, mathematical formulas and UI mockups in one pass, with text in a dozen languages. Unlike the first release, the 3.0 weights have not been published; it is an API model.
Qwen Image 2.1 came out in September 2026, two months after 3.0, with weights on Hugging Face and ModelScope under the Qwen Research License. Its visual generator is a 7B model that handles generation and editing in one checkpoint, composes several reference images into one frame, and is pitched on keeping a person or product recognisable.
Credits, resolution tiers, aspect ratios, reference-image ceilings and prompt length for each Qwen Image model, read from the same configuration the batch form uses. Where the three differ, the table is the place to check rather than this paragraph.
Notice where the columns split: the 2.1 column is not a cut-down 3.0. On references and framing it reaches further than either 3.0 model, which is why the FAQ treats it as a separate choice rather than the budget one.
A Qwen Image run has one decision up front — which of the three models does the work — and after that it is the usual BulkImagen loop of rows, references and a confirmed total.
Text-heavy layouts point to the 3.0 pair: Qwen Image 3.0 for volume, Qwen Image 3.0 Pro when the grid is dense and the output is going to a client. When the batch hinges on matching several existing photos, or on an unusually tall or wide frame, take Qwen Image 2.1.
If a poster needs a headline, put the exact words in quotes inside each row, in whichever language the poster is in. Qwen Image is at its best when the lettering is spelled out rather than implied, and a spreadsheet column of headlines maps cleanly onto rows of the batch.
The confirmation screen shows the credit total before anything is queued. As results come in, actually read the text on each one — vendor demos are not your copy — then keep the good renders and download the selection as a single ZIP.
The family's published examples lean heavily on images that have to say something. These are the runs where that matters more than raw painterly style.
A product launch that needs the same poster with Chinese and English headlines, or a run of packaging fronts with real product names, is the job Qwen Image was originally known for. One row per variant, one batch, and every result gets checked for spelling before it ships.
Qwen Image 3.0 and 3.0 Pro were launched on dense layouts: multi-panel grids, labelled diagrams, small captions. A lesson deck or a set of explainer cards can go in as a list of briefs and come back as a set to edit down, instead of a day in a layout tool.
Qwen Image 2.1 composes several reference images into one frame and is described by its team as preserving identity for people and products. Upload the product shots once and let every row of the batch place them into a different scene.
Need something else? Email support@bulkimagen.com
Bring the list of headlines, product names or briefs, pick Qwen Image 3.0, 3.0 Pro or 2.1 for the job, and let one batch render every row. Read the lettering, keep the winners, take them away as a ZIP.
