WAN 2.7 Standard AI Generator
Generated on PixelDojo with WAN 2.7 Standard. Produced by PixelDojo's generation pipeline.
WAN 2.7 Standard text-to-image costs 1 credit per image and our overhead food prompt came back in about 28 seconds on August 26, 2026, at a default 2048 by 2048 resolution. It is the entry tier of the WAN 2.7 image family; the Pro tier costs 2 credits and unlocks 4K output. This page covers the price, the measured speed, what the default output looks like, and when the extra credit for Pro is worth spending.
Overhead ramen, one credit, first result
Every example below was produced on PixelDojo. Hover to see the prompt.
Overhead shot of a steaming bowl of ramen with a soft egg, scallions and chili oil, dark slate table, moody window light
WAN 2.7 Standard
What the Standard tier renders from a blank prompt
1 credit per image, up to 4 per call
The default mode returns 1 to 4 images at 1 credit each. An image-set mode can push that to 12 images in one call, billed for the full count.
The default size is large
Size defaults to a 2K tier, which produced a 2048 by 2048 image with no other settings changed. 1K and 4K tiers are also available, plus explicit width by height sizes for non-square outputs.
What we saw in the output
An overhead shot of a ramen bowl with a soft egg cut open to a runny yolk, sliced red chili, scallions, and a small side dish of chili crisp, all on a dark slate tray with visible steam and a rain-streaked window in the corner. Every ingredient named in the prompt is present and identifiable.
4K is a Pro-only feature
The Standard model caps at 2K. Requesting 4K on Standard fails validation before any credit is charged; it only works on the Pro tier, and only for text-to-image, not editing.
A thinking mode exists for harder prompts
An optional thinking_mode toggle can improve prompt adherence at the cost of a slower render. It defaults off, which is the setting used for this run.
Why Choose Pixel Dojo for WAN 2.7 Standard
Professional-quality results with cutting-edge AI technology
1 credit per image
Flat price regardless of the 2K default size. A four-image batch in one call is 4 credits.
About 28 seconds, measured
Timed on August 26, 2026 from request to finished file, first result kept.
2K by default with no extra setting
No size parameter was set for this run, and it still returned a 2048 by 2048 image, double the pixel count of the WAN 2.6 default.
How It Works
How we ran it, so you can repeat it:
Write a text prompt with no image input
This tier renders from the prompt alone. We asked for an overhead ramen shot with specific ingredients named.
Leave size and model at their defaults
No size or model override was set, so it used the 2K default on the Standard tier.
Run it in the app or over the API
Generate from the WAN 2.7 tool page, or POST to /api/v1/models/wan-2.7-image/run. Ours took about 28 seconds and charged 1 credit.
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Common Questions
Everything you need to know about WAN 2.7 Standard
What does WAN 2.7 Standard cost?
1 credit per image in default mode, up to 4 images per call at 1 credit each. Image-set mode can return up to 12 images, billed for the full requested count.
How fast is WAN 2.7 Standard?
About 28 seconds in our August 26, 2026 run, measured from submission to the finished file. Real turnaround moves with queue load.
What resolution does it output by default?
2048 by 2048 pixels, from the default 2K size tier. 1K and, on the Pro tier only, 4K are also available, along with explicit non-square dimensions.
When is the Pro tier worth the extra credit?
When 4K output is required for text-to-image. Pro costs 2 credits against Standard's 1, and 4K is rejected outright on Standard rather than silently downgraded.
How does it differ from WAN 2.7 Image Edit?
This tool generates from a text prompt alone with no image input. Placing a reference image into a new scene runs through the separate WAN 2.7 Image Edit endpoint, priced at 1 credit on its own Standard tier.
How do I call it from the API?
POST to /api/v1/models/wan-2.7-image/run with your API key and a prompt. Pass model set to wan-2.7-standard or wan-2.7-pro to pick the tier. It is the same key and request shape as every other model in the catalog.