Qwen Image 2.1
Qwen Image 2.1 is Alibaba's Qwen 2.1-generation image model, available on VdoBloom as two separate tools: a Text to Image tab for prompt-only generation (model id qwen2-1/text-to-image) and an Image Edit tab for reference-image workflows (model id qwen2-1/image-to-image). Both read prompts in any language, up to 5,000 characters, and both can hand the prompt to an automatic rewriter before generating.
The spec is straightforward rather than flashy. Resolution comes in two tiers — 1K and 2K — across nine fixed aspect ratios, so every output lands on an exact pixel size instead of an approximation. Backgrounds can be forced fully opaque or genuinely transparent, with the transparent path producing a real alpha channel in PNG or WebP, not a checkerboard pattern baked into the pixels. That makes it a plausible fit for product cutouts, sticker-style assets, or any layer you plan to composite into something else.
The image-to-image side adds reference images, mask-based local editing, and multi-image composition, with fidelity and ratio behavior that change depending on how many references you feed it. Below is what the API spec actually supports — settings, sizes, and limits — without invented speed or quality claims. Pricing is per image by resolution tier: 3 credits at 1K and 5 credits at 2K, the same on both tabs, shown before you generate. New accounts start with 10 free credits, so the first two 1K images cost nothing.
What this tool does
- Qwen Image 2.1 runs on VdoBloom under two model ids: qwen2-1/text-to-image and qwen2-1/image-to-image.
- Prompts accept any language and up to 5,000 characters.
- enhance_prompt is on by default and rewrites your prompt into a fuller scene description before generating; it can be turned off.
- Resolution has two tiers, 1K and 2K, across nine aspect ratios from 1:1 to 21:9, each with an exact pixel size (e.g. 16:9 is 1376×768 at 1K, 2752×1536 at 2K).
- Transparent background output is a real alpha channel in PNG or WebP, not a simulated checkerboard, and cannot be combined with JPEG.
- Image-to-image accepts 1 to 10 reference images, each up to 30 MB and 25 MP, referred to in prompt order ("the first image", "the second image").
- A black-and-white mask_url switches image-to-image into local-edit (inpainting) mode, limited to exactly one reference image.
- The seed used for a generation is returned in the response, so the same prompt and settings with that seed reproduce the same image.
- Output format defaults to PNG, with WebP and JPEG also available.
- The NSFW checker is on by default for both tabs.
- On VdoBloom a Qwen Image 2.1 image costs 3 credits at 1K and 5 credits at 2K, whether generated from text or edited from references.
What Qwen Image 2.1 generates well, by spec
The clearest strength on paper is transparent asset generation. When background is set to transparent, the output PNG or WebP carries a genuine alpha channel rather than a background color that merely looks removed — which matters if the image is going into a design tool, a video overlay, or an e-commerce listing where the transparency itself needs to survive further editing. The tradeoff is that transparency can't be paired with JPEG output, and the prompt should describe only the subject; mentioning a background or scene in the prompt can push the model toward rendering a non-transparent result even with the toggle on.
Sizing is exact rather than approximate. Each of the nine supported aspect ratios maps to a fixed pixel size at each resolution tier — for example 3:2 renders at 1248×832 (1K) or 2528×1696 (2K), and 9:16 at 768×1376 or 1536×2752. Because text-to-image defaults to 3:2 and every ratio has a defined 1K and 2K size, you know the output dimensions before generating, which is useful when the image has to fit a predefined slot (a banner, a print size, a video frame) rather than getting cropped after the fact.
Prompt language isn't restricted to English — the model accepts prompts up to 5,000 characters in any language. Combined with enhance_prompt, which expands a short prompt into a fuller scene description automatically, this makes the text-to-image tab usable for non-English prompts without a separate translation step, though the quality of that expansion for any given language isn't something VdoBloom benchmarks or claims a specific result for.
Image-to-image and the mask workflow
The Image Edit tab takes 1 to 10 reference images (JPEG, PNG, or WebP, each up to 30 MB and 25 MP) and reads them in the order you provide them — the prompt refers to them by position, as in "the first image" or "the second image." That ordering is worth getting right, since it's how the model knows which reference each instruction applies to when you're combining people, objects, or styles from multiple sources into one output.
Fidelity to any single reference drops as you add more of them, so staying within four images is the practical ceiling when you need a reference to be closely preserved rather than loosely referenced. When combining several people or objects in one composition, landscape aspect ratios (3:2 or 16:9) tend to give the composition more room to work with than portrait ratios. Aspect ratio for image-to-image defaults to auto, meaning it follows the first reference image unless you override it.
Passing a mask_url — a black-and-white mask image — switches the whole request into local-edit (inpainting) mode: white marks the area to change, black marks what stays untouched. That mode comes with hard constraints: exactly one reference image is allowed, the mask must match that image's aspect ratio, it can't be combined with transparent background, and the output ratio follows the reference image regardless of any aspect ratio setting — prompt rewriting is also ignored in this mode, since the mask is doing the work of scoping the edit rather than the prompt describing a whole new scene.
Settings that actually change the output: enhance_prompt, seed, and format
enhance_prompt is on by default on both tabs. It takes your prompt and rewrites it into a fuller scene description before the image is generated — useful for short or sparse prompts, but worth turning off if you've already written a precise, fully-specified prompt and don't want it altered before generation, or if you're using image-to-image with a mask (where prompt rewriting is ignored anyway).
seed controls reproducibility. Every generation returns the seed it used, and reusing that seed with the same prompt and settings reproduces the same image — which is the mechanism to use if you land on a result you like and want to regenerate it with a small prompt tweak while keeping everything else about the composition stable, rather than rolling the dice again.
Output format defaults to PNG, with WebP and JPEG as alternatives. The format choice interacts directly with the background setting: transparency requires PNG or WebP, since JPEG has no alpha channel, so if transparent background is the goal, JPEG isn't an option regardless of what's selected elsewhere.
How it works
1.Pick the right tab
Use Text to Image at /dashboard/images/generate/ for prompt-only generation, or Image Edit at /dashboard/images/edit/ if you're starting from one or more reference images.
2.Write the prompt
Describe the subject in any language, up to 5,000 characters. Leave enhance_prompt on for a short prompt you want expanded, or turn it off if your prompt is already fully specified.
3.Set resolution, aspect ratio, and background
Choose 1K or 2K and one of the nine supported aspect ratios. Switch background to transparent for an alpha-channel PNG or WebP — and if so, describe only the subject, not a scene, and skip JPEG as the output format.
4.For edits: add references and, if needed, a mask
On Image Edit, upload up to 10 reference images in the order your prompt refers to them (stay within 4 for closer fidelity). To constrain the edit to one area, upload a single reference plus a black-and-white mask_url — white marks what changes.
5.Generate and reuse the seed
Review the credit cost shown before generating (3 credits at 1K, 5 at 2K), then generate. If you want the same result again with a tweak, note the returned seed and reuse it with an adjusted prompt.
Frequently asked questions
What is Qwen Image 2.1?
It's Alibaba's Qwen 2.1-generation image model. On VdoBloom it's available as two tools: a text-to-image generator and an image-to-image editor that supports reference images and masked local edits.
Is Qwen Image 2.1 free to use on VdoBloom?
It is not free beyond the signup credits, but it is cheap: 3 credits per 1K image and 5 credits per 2K image, on both the Text to Image and Image Edit tabs. New VdoBloom accounts start with 10 free credits, which covers three 1K images or two 2K images.
How do I generate a transparent background with Qwen Image 2.1?
Set background to transparent. The output is a real alpha-channel PNG or WebP, not a simulated checkerboard. It can't be combined with JPEG, and the prompt should describe only the subject — mentioning a background or scene can produce a non-transparent result even with the toggle on.
How many reference images can I use in image-to-image?
Between 1 and 10, each up to 30 MB and 25 MP. The prompt refers to them by order ("the first image", "the second image"). Fidelity to any single reference drops as you add more, so staying within 4 keeps fidelity higher.
What does the mask workflow do?
Uploading a black-and-white mask_url switches image-to-image into local-edit (inpainting) mode: white areas of the mask get changed, black areas stay untouched. That mode requires exactly one reference image, matches its aspect ratio, can't be combined with transparent background, and ignores both the aspect ratio setting and prompt rewriting in favor of following the reference image.
What resolutions and aspect ratios are supported?
Two tiers, 1K and 2K, across nine aspect ratios: 1:1, 4:3, 3:4, 3:2, 2:3, 16:9, 9:16, 21:9, and 9:21, each with a fixed pixel size at both tiers (for example 1:1 is 1024×1024 at 1K and 2048×2048 at 2K). Text-to-image defaults to 3:2; image-to-image defaults to auto, following the first reference image.
Does Qwen Image 2.1 support prompts in languages other than English?
Yes, prompts can be in any language, up to 5,000 characters, and enhance_prompt (on by default) will expand a short prompt into a fuller scene description before generating.
How does Qwen Image 2.1 compare to GPT Image?
VdoBloom doesn't publish head-to-head benchmark or speed comparisons between the two. What's documented for Qwen Image 2.1 is its spec: 1K/2K resolution across nine exact-size aspect ratios, real alpha-channel transparency, up to 10 ordered reference images, and mask-based local editing — worth checking against what a specific project actually needs rather than a general quality claim.
Related tools
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