Alibaba WAN 2.7 Image Edit

Alibaba WAN 2.7 Image Edit enables instruction-driven image editing and multi-image composition. It is designed for workflows where you want to preserve the source scene, combine references, and steer the result with natural language.

Why creators love it

• Instruction-based editing: Rewrite clothing, materials, color, scene details, or object relationships with a plain-language prompt.
• Single-image and multi-image input: Works well for focused edits as well as reference-driven composition.
• Reference composition: Combine multiple images and a text instruction in one edit request.
• Practical controls: Supports size, n, watermark, thinking_mode, and seed.

Perfect for

• Marketing teams adapting hero visuals for multiple campaigns.
• E-commerce teams refreshing product shots and styled composites.
• Users who want Wan 2.7 editing quality in the standard tier.
• Creative teams that need reliable visual revisions without rebuilding an image from scratch.

How to Use

1. Provide a main source image, and add extra references when style, objects, or composition details need to be guided.
2. Write a prompt that explains the desired edit clearly and specifically.
3. Choose the target size and decide whether you want one result or multiple variations.
4. Review the edited outputs and keep the one that best balances fidelity and creative change.

Pro tips

• Be explicit about what should change and what should remain stable.
• Use a single output when you want tighter control, and multiple outputs when exploring different directions.