Imagewan2.7wan2.7-text-to-image

Wan2.7 Text To Image

Alibaba WAN 2.7 Text-to-Image generates high-quality images from text prompts with thinking mode for enhanced image quality.

Open in Image Lab Browse all models~4 credits per run

Wan guideVerified

Alibaba's open-source video model line (Wan 2.1 → 2.7). Strong prompt adherence; the open-source pedigree means heavy community use and well-documented prompting patterns.

Strengths

Best-in-class prompt adherence — does what you ask, not what it thinks you want.
Wide variant family covers most needs (T2V, I2V, reference, motion control, lipsync).
Wan 2.5 and 2.6 catch up to closed-source quality at lower cost.
Wan 2.2 Spicy variants for adult creative work.

Weaknesses

Older versions (2.1, 2.2) look dated next to current flagship.
Stylization quality lags behind Kling and Hailuo.

Best for

Precise prompt-driven scene construction
Hybrid pipelines where Wan does the heavy lifting and another model polishes

Prompting tips

Treat Wan like a brief — itemize what's in frame, the action, the camera.
Wan does NOT need flowery language; plain descriptive prose works better.

Parameters

aspect_ratio
string
The aspect ratio of the generated image
1:14:33:416:99:1621:99:213:22:3
default: 1:1
thinking_mode
boolean
Enable thinking mode for enhanced reasoning and better image quality. Increases generation time.
default: true

You'll need

A text prompt

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