Qwen Image 2.1 Edit.
- Alibaba
- Image to Image
- $0.03666667 per megapixel per image
Qwen Image 2.1 Edit transforms reference images with text prompts.
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Qwen Image 2.1 Edit is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support different…
Sınırlar ve ipuçlarıMake the main subject, composition, lighting and intended visual style unambiguous.
When references are available, state which details should be retained and which should change. Start with one clear creative direction before adding several…
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Model dokümantasyonu
Bu model hakkında
Qwen Image 2.1 Edit transforms reference images with text prompts. Create image edits and combine visual references with adjustable sizes in PNG, JPEG, or WebP.
Overview
Qwen Image 2.1 Edit Overview
Qwen Image 2.1 Edit transforms reference images with text prompts. Create image edits and combine visual references with adjustable sizes in PNG, JPEG, or WebP.
Ordered reference images and a text instruction guide changes to an existing composition.
Qwen Image 2.1 Edit from Alibaba is available through each::labs in the qwen family. Required fields are prompt, image_urls.
image_size: Output size, rounded to multiples of 32 pixels. num_images: Number of images to generate sequentially.1-4.
Use the Qwen Image 2.1 Edit API when you need this transformation or analysis as a repeatable step in an application or creative pipeline. The sections below distinguish the required material, adjustable controls and checks that matter before delivery.
Capabilities
Capabilities
- Ordered reference images and a text instruction guide changes to an existing composition.
- image_size: Output size, rounded to multiples of 32 pixels.
- num_images: Number of images to generate sequentially.1-4.
- guidance_scale: Classifier-free guidance strength.
- image_urls: Ordered reference images to edit or combine according to the prompt.
Use cases
Use Cases for Qwen Image 2.1 Edit
Qwen Image 2.1 Edit is useful when this specific operation fits between source preparation and delivery. These scenarios show how it can support different parts of a working pipeline.
Creators
Revise a product background. Use a representative source or a concise brief, then inspect the result before preparing a larger set of assets.
Design and marketing teams
Combine ordered visual references. Compare the result with the intended message, composition and destination. Keep reviewable versions of the source and output.
Developers
Prepare a text-guided design variation. Inspect the actual returned value before connecting it to another step, and keep the chosen request settings with the result.
Start with a clear definition of the desired result and use the exposed controls to reach it. Keep any additional generation, editing or application logic in separate steps so that the effect of this operation remains easy to review.
Tips & tricks
Tips and Tricks
Make the main subject, composition, lighting and intended visual style unambiguous. When references are available, state which details should be retained and which should change. Start with one clear creative direction before adding several competing requests.
- num_images: Number of images to generate sequentially.1-4.
- guidance_scale: Classifier-free guidance strength.
- Example direction: “Replace the background with a softly lit studio; keep the subject, colors and framing unchanged.”
- Example direction: “Make the lighting warmer while preserving the main subject and its visible details.”
Compare one deliberate adjustment at a time. Inspect the part of the result affected by that change, then check the rest of the asset or response for unwanted side effects before reusing the settings.
Technical spec
Technical Specifications
- Result type: array.
- Required fields: prompt, image_urls.
- image_size: string; options square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9, custom; default "square_hd".
- output_format: string; options png, jpeg, webp; default "png".
- prompt: string.
- num_images: integer; default 1; minimum 1; maximum 4.
image_urls: Ordered reference images to edit or combine according to the prompt.
Values must use the types and accepted options listed in the parameter reference. A displayed default does not remove a required-field requirement. Choose a supported output setting for this entry rather than borrowing a preset from a related model.
Things to be aware of
Things to Be Aware Of
Review lettering, small structures, edges and any requested product details at the intended display size. An attractive first impression is not enough to establish that a visual matches its brief.
Optional settings are not necessarily interchangeable with those on another entry in the same family. Use the accepted names, types and values shown for this operation.
For media-based inputs, supply a directly retrievable file URL rather than a page containing the asset. Keep the source available while processing. Check the final content in the destination player, editor or application, not only the request status.
Key considerations
Key Considerations
The negative prompt is effective only when guidance_scale exceeds 1; its default is 1. Choose the output format deliberately, since transparency behavior differs between PNG, WebP and JPEG.
Public estimate: $0.03666667 per megapixel.
Prepare prompt, image_urls before starting. Optional settings include image_size, num_images, guidance_scale. Keep these settings aligned with the intended delivery, especially when a later step expects a particular type or format.
Run a representative request before scaling to a larger collection. Judge the result against the source and the brief, and account for all generated outputs or usage-sensitive options when estimating a batch.
Limitations
Limitations
- image_urls: minimum items: 1; maximum items: 10; item string; item format: uri.
- image_size: allowed values: ["square_hd", "square", "portrait_4_3", "portrait_16_9", "landscape_4_3", "landscape_16_9", "custom"].
Unsupported parameters do not establish additional capabilities. A generated result can differ from the intended brief, so review detail and consistency before publication.
Bu model hakkında sorular
Kısa yanıtlar. Kurulumunuza özel her konuda ekibimizle konuşun.
Qwen Image 2.1 Edit is an image editing model that transforms reference images according to a text prompt. It accepts one or several reference images, allowing you to describe the changes or combinations you want. Adjustable output dimensions help prepare edited visuals for different layouts.
Qwen Image 2.1 Edit can help you revise existing visuals or combine reference images into a prompted result. Describe the desired changes and provide your reference images on each::labs. You can generate multiple alternatives in one request and adjust guidance or prompt expansion to shape the result.
Qwen Image 2.1 Edit returns edited images in PNG, JPEG, or WebP format. PNG and WebP support transparency, while JPEG places transparent areas on white. You can choose the output dimensions and request up to four images, making it practical to compare alternatives for your visual project.
