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by DeepSeek

WAN 2.7 Pro AI 图像生成

DeepSeek'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

FlyAIgh 是一个独立平台,为 WAN 2.7 Pro 及其他 AI 模型提供统一调用入口。我们与 DeepSeek 不存在任何关联、背书或赞助关系。

WAN 2.7 Pro 各版本与参数

参数WAN 2.7 Pro
时长
画面比例1:1 · 16:9 · 9:16 · 4:3 · 3:4
分辨率
原生音频
图生视频
参考图生视频
积分/秒
5 秒片段消耗5 cr/image

什么是 WAN 2.7 Pro?

WAN 2.7 Pro is DeepSeek'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 v7

能力WAN 2.7 ProNano BananaMidjourney v7
原生音频
图生视频
参考图生视频
首末帧

WAN 2.7 Pro 常见问题

What is WAN 2.7 Pro?+
WAN 2.7 Pro is DeepSeek'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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