HiAPI
21:9 高调光 Hero 图:左侧奶白柔光留白,右侧漂浮半透明玻璃图像卡与虹彩分光,玻璃面板上以发光立体字镌刻 wan2.7-image;冰蓝、珊瑚粉、薰衣草与暖金交织,为 wan2.7-image 文生图详情页头图。

Alibaba

Wan 2.7 Image

wan2.7-image-standard

An image generation and editing model launched by Alibaba that integrates text-to-image, multi-reference image composition, and instruction-based editing into a single workflow, with support for long-text rendering and brand color control

Try wan2.7-image-standard

Input

Output

image
Fill in the parameters and run — results show up here.

Pricing

wan2.7-image-standard per image

Specifications Unit Price
1K $0.0345
2K $0.0345

Positioning Overview

Wan 2.7 Image Standard Edition is an image generation and editing model launched by Alibaba, offering text-to-image and image-to-image capabilities through the unified HiAPI.ai interface. It supports up to 9 reference images as input, two resolution tiers (1K/2K), a variety of aspect ratios, and random seed control, making it suitable for developers who need complete sets of visual outputs or instruction-based image modifications, in scenarios such as brand materials, e-commerce image collections, and concept design.

Key Highlights

  • Unified text-to-image and reference-image editing — the same model can generate images directly from text or perform composition and instruction-based modifications based on up to 9 reference images, reducing tool switching.
  • Multi-reference-image input maintains consistency — supports up to 9 public images as references; the output aspect ratio follows the last reference image, making it easy to produce complete sets of serialized visuals.
  • Controllable resolution and aspect-ratio parameters — choose 1K or 2K output; for text-to-image, multiple aspect ratios from 1:1 to 8:1 are supported, making it easy to fit sizes to display placements.

Capability Description

Text-to-image: generate an image from a text prompt alone; you can specify the resolution tier and aspect ratio, and prompts of up to 5,000 characters are supported, making it suitable for getting usable visuals directly from conceptual descriptions.

Reference-image instruction editing: pass in a public URL of a reference image or an image to be edited, describe the modification requirements in natural language, and the model outputs the edited image, with the aspect ratio following the last reference image.

Multi-image reference composition: accepts up to 9 reference images, each no larger than 20 MB, supporting JPEG, PNG, BMP, and WebP; visual elements from multiple reference images can be fused into a single output.

Resolution and seed control: choose a 1K or 2K output tier; a random seed from 0–2147483647 can yield relatively stable results under the same input, facilitating reproduction and batch iteration.

Applicable Scenarios

  • Marketers producing complete sets of campaign visual materials — input brand descriptions and multiple style reference images to produce banners, accompanying images, and other assets with a consistent tone for campaign landing pages and social media placements.
  • E-commerce operations: product and scene image production — upload product photos and describe scene transformation requirements to obtain product scene images that meet display specifications, for use in product detail pages and advertising materials.
  • Designers: concept sketches and storyboard generation — use text descriptions or reference-image input to generate storyboard sketches and character concept art for early-stage proposal discussions and storyboard drawing.
  • Developers: batch image generation API integration — call through the unified HiAPI.ai interface to embed text-to-image or image-to-image capabilities into your own workflows and generate 1K/2K image assets on demand.

Limitations and Selection Advice

The Standard Edition's output resolution is limited to 1K and 2K, with no higher tiers available; if you need higher resolution or stronger composition stability, consider the Pro version in the same series. Reference images must be publicly accessible URLs, each no larger than 20 MB; once reference images are uploaded, the aspect ratio is determined by the last reference image and can no longer be specified via parameters. A fixed seed only makes results relatively stable and does not guarantee exact reproduction. For scenarios involving long-text layout or precise brand-color control, it is recommended to validate results with a small batch of samples before scaling up usage.

  • New model wan2.7-image-standard image generation model now available

Frequently asked questions

View all FAQs →
  • Which unusual ratios does Wan 2.7 Image support?

    Alongside common ratios, it supports 21:9, 8:1, and 1:8 for extreme wide or tall output.

  • What does Thinking Mode do?

    It adds latency to improve reasoning and composition for complex prompts. Leave it off for fast drafts.

  • How should I choose 1K, 2K, or 4K?

    Validate direction at 1K or 2K, then move to 4K for larger final output. Current page pricing is flat per image.

  • Does it accept references?

    No. This model ID is text-to-image only.

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