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Wan2.7 Image AI Image Generator

Generate or edit versatile 1K and 2K imagery with several references and a clean, practical parameter set.

Wan2.7 Image turns clear creative direction into more controllable image results.

Unified generation and follow-up editing

A portrait generated by the model becomes the source for a targeted refinement: only the cobalt scarf changes to silver-gray silk while identity, pose, jacket, crop, and light remain.

Controlled portrait detail

Face shape, beauty mark, asymmetrical bob, blue eyeliner, single silver earring, silk scarf, and canvas jacket each follow a separate instruction without becoming a generic template face.

Multi-reference fusion

The cobalt bottle from one reference, Jiangnan waterside setting from another, and indigo, cream, and red palette from a third merge into a single believable campaign scene.

Structured text and layout

The readable word FORM, the Chinese character 形, a desk lamp, geometric line graphic, and coral rule occupy distinct zones in one disciplined editorial grid.

Key capabilities

Why choose Wan2.7 Image.

Build a simple, repeatable workflow around the inputs and controls the model reliably supports.

Capability 01

Unified generation and follow-up editing

A portrait generated by the model becomes the source for a targeted refinement: only the cobalt scarf changes to silver-gray silk while identity, pose, jacket, crop, and light remain.

  • The first result becomes the edit source
  • One requested variable changes
  • Portrait identity survives the refinement
BeforeUnified generation and follow-up editing — before
ResultUnified generation and follow-up editing — after

Capability 02

Controlled portrait detail

Face shape, beauty mark, asymmetrical bob, blue eyeliner, single silver earring, silk scarf, and canvas jacket each follow a separate instruction without becoming a generic template face.

  • Facial marker and hairstyle stay distinct
  • Accessories remain correctly assigned
  • Skin, silk, metal, and canvas read differently
Controlled portrait detail

Capability 03

Multi-reference fusion

The cobalt bottle from one reference, Jiangnan waterside setting from another, and indigo, cream, and red palette from a third merge into a single believable campaign scene.

  • Product identity comes from reference one
  • Architecture and atmosphere come from reference two
  • Palette remains traceable to reference three
References
Multi-reference fusion — reference 1
Multi-reference fusion — reference 2
Multi-reference fusion — reference 3
ResultMulti-reference fusion — result

Capability 04

Structured text and layout

The readable word FORM, the Chinese character 形, a desk lamp, geometric line graphic, and coral rule occupy distinct zones in one disciplined editorial grid.

  • English and Chinese text remain readable
  • Product and graphic elements stay separated
  • The layout uses a clear visual hierarchy
Structured text and layout

Prompt examples

Start with prompts shaped for Wan2.7 Image.

These examples define subject, composition, light, and motion so you can replace the creative direction with your own.

Unified generation and follow-up editing

Unified generation and follow-up editing

A portrait generated by the model becomes the source for a targeted refinement: only the cobalt scarf changes to silver-gray silk while identity, pose, jacket, crop, and light remain.

View prompt+

Keep the exact woman, face, hair, earring, cream jacket, pose, crop, background, and light. Change only the cobalt scarf to reflective silver-gray silk.

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Multi-reference fusion

Multi-reference fusion

The cobalt bottle from one reference, Jiangnan waterside setting from another, and indigo, cream, and red palette from a third merge into a single believable campaign scene.

View prompt+

Use reference 1 as the exact bottle, reference 2 for Jiangnan bridge, wet stone, wood and mist, and reference 3 only for indigo, cream and red palette. No text, 16:9.

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How it works

Use Wan2.7 Image in three steps.

Choose the input, write a clear prompt, and submit. Nanobana handles uploads, task polling, saving, and credit state.

01

Choose the input

Text or up to nine references, common ratios, 1K or 2K, and one result per task.

02

Describe the result

Describe the subject, scene, composition, light, and details that must remain.

03

Generate and review

Review the output, then download it or continue iterating in Studio.

Wan2.7 Image questions

What is Wan2.7 Image best for?+

Landscape concepts, product scenes, stylized campaigns, and multi-reference composition work.

Which controls are available?+

Text or up to nine references, common ratios, 1K or 2K, and one result per task.

How many credits does one generation use?+

Each image uses 4.8 credits.

What should I know about its limits?+

This integration returns one image per task and keeps sequential and experimental reasoning controls off.

Structured text and layout

Start creating with Wan2.7 Image.

Use one of the prompts above or enter your own creative direction.

Create with Wan2.7 Image