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WAN 2.7 Pro AI Generator

WAN 2.7 Pro — generated on PixelDojo
AI Generated

Generated on PixelDojo with WAN 2.7 Pro. Produced by PixelDojo's generation pipeline.

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WAN 2.7 Pro costs 2 credits per image, twice the Standard tier's 1, and our scene-edit test finished in about 34 seconds on August 26, 2026. We ran the identical character-placement prompt and reference image through both tiers on the same day. Pro is not just Standard with a 4K flag; on this edit the two tiers rendered visibly different lighting and mood from the same instruction. This page covers the price, the measured speed, and the actual difference we saw.

Same edit, Pro grade, two credits

Every example below was produced on PixelDojo. Hover to see the prompt.

Example: Place this exact woman on a bicycle crossing a rainy city crosswalk at dusk, neo

Place this exact woman on a bicycle crossing a rainy city crosswalk at dusk, neon shop signs reflecting in puddles, cinematic wide shot, keep her face, glasses, red curly hair, denim jacket and yellow shirt identical

WAN 2.7 Pro

What the extra credit buys on the Pro tier

2 credits per image, double Standard

Both tiers share the same request shape; only the model field and the price change.

Same prompt, different mood

We sent the identical instruction, keep her face, glasses, red curly hair, denim jacket and yellow shirt identical, to both tiers on the same rainy crosswalk scene. Pro rendered a dusk sky with an orange and purple gradient, tram wires overhead, and a warmer, more cinematic color grade. Standard rendered a cooler blue-hour sky with brighter, more legible neon signage.

Identity held on both tiers

Face, glasses, hair color, jacket, and shirt all carried through correctly on the Pro run, matching what we saw on Standard.

4K is Pro's real headline feature, but not here

Pro is the only tier that supports 4K output, and that is text-to-image only. Editing, including this run, caps at 2K on both Standard and Pro, so the resolution ceiling was identical between the two tiers for this test.

Output size matched Standard exactly

Both the Pro and Standard edit runs returned a 2048 by 2048 image, since edit mode caps at 2K regardless of tier.

Why Choose Pixel Dojo for WAN 2.7 Pro

Professional-quality results with cutting-edge AI technology

2 credits per image

Exactly double the Standard tier's 1 credit, same request shape either way.

About 34 seconds, measured

Timed on August 26, 2026 from request to finished file.

A visibly different render from an identical prompt

Sky color, lighting mood, and overall grade differed from the Standard-tier run on the same day, same prompt, same reference image.

How It Works

How we ran it, so you can repeat the comparison:

1

Keep the prompt and reference image identical

We reused the exact same character-placement prompt and source image as the Standard-tier run, changing only the model field.

2

Set model to wan-2.7-pro

That single field is what routes the request to the 2 credit tier instead of the 1 credit default.

3

Run it over the API

POST to /api/v1/models/wan-2.7-image-edit/run with model set to wan-2.7-pro. Ours took about 34 seconds and charged 2 credits.

Edit with the WAN 2.7 Pro tier

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Common Questions

Everything you need to know about WAN 2.7 Pro

What does WAN 2.7 Pro cost?

2 credits per image, double the Standard tier's 1 credit. The request shape is identical; only the model field changes.

How fast is WAN 2.7 Pro?

About 34 seconds in our August 26, 2026 run, measured from submission to the finished file. Real turnaround moves with queue load.

Is Pro worth double the price of Standard?

On our identical-prompt test, yes for mood: Pro returned a more atmospheric dusk sky and richer color grade than Standard's cooler, flatter lighting on the same scene. If 4K text-to-image output matters, Pro is required outright since Standard rejects that resolution.

Does Pro output higher resolution on an edit?

Not on this run. Editing caps at 2K on both tiers, so our Pro and Standard edits both returned 2048 by 2048 images. The 4K advantage only applies to Pro's text-to-image mode.

How does it differ from WAN 2.7 Standard?

Same schema, same inputs, double the price, and on our test a noticeably different color grade and lighting mood from the identical prompt. Standard is the cheaper default; Pro is worth reaching for when the render needs more atmosphere or, in text-to-image mode, 4K output.

How do I call it from the API?

POST to /api/v1/models/wan-2.7-image-edit/run with your API key, a prompt, an image_urls array, and model set to wan-2.7-pro. It is the same key and request shape as every other model in the catalog.

Compare it against the Standard tier

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