Wan2.7-Image — это универсальное семейство моделей от Alibaba для генерации и редактирования. Оно поддерживает генерацию изображений по тексту (text-to-image), редактирование, продвинутый рендеринг текста, работу с несколькими изображениями, вывод в 2K (в стандартной версии) и генерацию по тексту в 4K (в версии Pro).

Model Type:
Pricing: WAN-2.7 Image Pro costs 12 credits per image (≈ $0.06), while WAN-2.7 Image costs 4.8 credits per image (≈ $0.024). High-tier top-ups include +10% bonus credits. Effective pricing is approximately 10% lower than the above rates.
Input

Text prompts for image generation. Supports both Chinese and English, with a minimum of 1 characters and a maximum of 5,000 characters.

0/5000

Click to upload or drag and drop

Supported formats: JPEG, PNG, WEBP, JPG Maximum file size: 10MB; Maximum files: 9

Upload an image file to use as input for the API. Image dimensions must be at least 240 pixels in length and width.

Draw edit regions on each image. Coordinates are saved as [x1, y1, x2, y2] using the original image pixel coordinates. Each image supports up to 2 boxes.

0 boxes selected
Upload image(s) first, then add boxes for each image.

Enable Gallery Mode

Enhances reasoning for higher-quality outputs. Only available when Gallery Mode is off and no images are uploaded. May increase generation time.

When the gallery mode is turned off, n represents the number of generated images (1-4); when it is turned on, n represents the maximum number of images (1-12), and the actual value is determined by the model.

color_palette

Optional custom theme with 3 to 10 colors. Recommended: 8.

0 colors / 0.00%
Add 3 to 10 colors. Ratios must sum to 100.00%.

Resolution of the generated image. Higher resolutions take longer to generate.(4K generation is available only for text-to-image in Standard Mode)

Aspect ratio of the generated image

Whether to add a watermark identifier

Using the same seeds and the same prompts for the same version of the model can keep the generated content relatively stable.

A configurable parameter. Defaults to true in the Playground.

There is no guarantee that everything can be filtered out; if you are not satisfied with the results, you will need to make your own arrangements.
Output
output typeimage
Generated output
Examples

Explore different use cases and parameter configurations

README

Complete guide to using wan/2-7-image

Доступный API Wan2.7-Image на Kie.ai

Original image
Единая среда генерации и редактирования изображений с Wan2.7-Image API
Кастомизация портретов и реалистичное управление лицами в Wan 2.7 Image API
Точное управление цветовой палитрой в Wan2.7 Image Pro API
Продвинутый рендеринг текста в Alibaba Wan2.7 Image API
Редактирование нескольких изображений и интерактивное управление с помощью Alibaba Wan2.7 Image API
Гибкая генерация в 2K/4K и стилистическое единство до 12 кадров в Alibaba Wan2.7 Image API
ПараметрWan2.7 Image APIWan2.7 Image Pro API
Input imagesUp to 9 input imagesUp to 9 input images
Output size1K, 2K, and supported custom dimensions1K, 2K, 4K for text-to-image, and supported custom dimensions
Number of outputs1–4 outputs, or up to 12 when image set mode is enabled1–4 outputs, or up to 12 when image set mode is enabled
Thinking modein eligible text-to-image scenariosin eligible text-to-image scenarios
Interactive editing boxes✔✔
Более конкурентоспособная генерация изображений по тексту с Wan2.7-Image
Более универсальные возможности общего редактирования изображений в Wan2.7-Image

Wan2.7-Image API works well in fast-moving marketing and creative workflows where teams need to turn ideas into visuals without a long design cycle. It can be used for ad concepts, landing page graphics, social media images, promotional banners, and other campaign assets that start from a prompt and often need quick follow-up edits. Because Wan2.7-Image API combines generation and editing in one flow, it is especially practical for teams that want to move from rough visual exploration to more usable creative output without switching across multiple image tools.

Wan 2.7 Image API is a strong choice for portrait-focused products that need faces to feel more intentional and less generic. With more detailed control over bone structure, eye shape, contour, makeup, hairstyle, and accessories, Wan 2.7 Image API is well suited to avatar tools, profile image generation, beauty-related imaging experiences, and other portrait workflows where facial customization matters. This gives developers a better foundation for face-centered products that depend on more realistic, more varied, and more identity-sensitive visual output.

Wan2.7 Image Pro API is better aligned with visual workflows where output quality carries more weight than raw iteration speed. It is a stronger fit for premium campaign creatives, product marketing assets, branded illustrations, presentation visuals, and other design-heavy content that benefits from more polished text-to-image generation. Since Wan2.7 Image Pro API supports up to 4K in supported text-to-image scenarios, it is especially useful when the final visual needs to feel more refined for production-facing delivery rather than quick internal concepting.

Wan2.7 Image API is especially useful for workflows that depend on consistency across multiple outputs rather than one-off image generation. It can support storyboards, product catalogs, children’s books, wedding series, slide visuals, and other sequential content where the subject, styling, or scene logic needs to stay more coherent from image to image. With support for up to 12 consistent images in one generation and up to 9 reference images for more guided outputs, Wan2.7 Image API is a strong match for teams building visual storytelling tools and multi-image production workflows.

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