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par Alibaba

Génération d’images WAN 2.7 Pro

Alibaba's professional image model — 4K output with Thinking Mode for prompt analysis, watermark control and up to 9 reference images.

WAN 2.7 Pro5 cr/image

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Variantes et paramètres de WAN 2.7 Pro

ParamètreWAN 2.7 Pro
Durée—
Ratios1:1 · 16:9 · 9:16 · 4:3 · 3:4
Résolution—
Audio natif—
Image-vers-vidéo—
Référence-vers-vidéo—
Crédits par seconde—
Coût d’un clip de 5 secondes5 cr/image

Qu’est-ce que WAN 2.7 Pro ?

WAN 2.7 Pro is Alibaba's professional-grade image generation model — 4K output, Thinking Mode for prompt analysis, watermark control, and up to 9 reference images for image-to-image work. Pricing is 5 credits per image, matching Nano Banana Pro and well below Midjourney's high-quality tiers when you factor in the 4K resolution.

The headline feature is Thinking Mode. WAN spends additional compute parsing your prompt before generating — identifying entities, resolving ambiguities, planning composition — which materially improves output quality on complex or unusual prompts. For straightforward prompts the improvement is small; for prompts that mix multiple subjects, specific spatial arrangements or fine constraints, the gap is large.

Five aspect ratios are supported (1:1, 16:9, 9:16, 4:3, 3:4) with three resolution tiers in text-to-image (1K / 2K / 4K, default 2K). In image-to-image (edit) mode the resolution options are 1K and 2K — 4K is not a valid upstream value for the edit endpoint, so the picker is automatically restricted in i2i mode.

Up to 9 reference images can be supplied — the highest reference budget of any image model on FlyAIgh, matching HappyHorse and Seedance on the video side. This makes WAN particularly strong for brand-asset composition, product photography variants and any context where you need consistency across a batch.

WAN is weaker than GPT Image 2 for in-image text rendering and weaker than Midjourney v7 for distinct artistic style. Pick WAN when 4K resolution, prompt-handling depth and multi-reference fidelity matter most.

WAN 2.7 Pro vs Nano Banana vs Midjourney

CapacitéWAN 2.7 ProNano BananaMidjourney
Audio natif
Image-vers-vidéo
Référence-vers-vidéo
Première/dernière image

Questions fréquentes sur WAN 2.7 Pro

What is WAN 2.7 Pro?+
WAN 2.7 Pro is Alibaba's professional image generation model. It outputs at 4K with Thinking Mode (additional compute on prompt analysis) and supports up to 9 reference images for image-to-image work.
How much does WAN 2.7 Pro cost?+
WAN 2.7 Pro is 5 credits per image — the same as Nano Banana Pro.
What is Thinking Mode?+
Thinking Mode is a WAN-specific feature where the model spends additional compute parsing your prompt before generating — identifying entities, resolving ambiguities and planning composition. For straightforward prompts the improvement is small; for prompts mixing multiple subjects or fine spatial constraints, the quality gain is significant.
Does WAN 2.7 Pro generate 4K images?+
Yes — in text-to-image mode WAN supports 1K, 2K and 4K output (default 2K). In image-to-image (edit) mode the options are 1K and 2K; 4K is not supported on the edit endpoint.
How many reference images does WAN accept?+
Up to 9 reference images — the highest reference budget of any image model on FlyAIgh, useful for brand-asset composition and batch consistency.
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