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Flux Edit Kontext vs WAN 2.7 Image Edit

Flux Edit Kontext vs WAN 2.7 Image Edit — generated on PixelDojo
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Generated on PixelDojo. Produced by PixelDojo's generation pipeline.

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Flux Edit Kontext and WAN 2.7 Image Edit both cost 1 credit per image at their base tier. Given the same reference photo of a woman and the same instruction to place her on a bicycle in a rainy city crosswalk, WAN 2.7 Image Edit returned a 2048x2048 file in about 21 seconds. Flux Edit Kontext's dev tier returned a 1024x1024 file in about 8 minutes, and cropped in tighter than the wide shot the prompt asked for. Same price, same instruction, different results.

The same reference photo and scene instruction on both

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

Flux Edit Kontext (dev)

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 Image Edit

Same reference photo, same scene instruction, same 1 credit price. WAN 2.7 Image Edit: 2048x2048 in about 21 seconds. Flux Edit Kontext: 1024x1024 in about 8 minutes.

Why Choose Pixel Dojo for Flux Edit Kontext vs WAN 2.7 Image Edit

Professional-quality results with cutting-edge AI technology

Both kept the character's identity

Face, glasses, red curly hair, denim jacket and yellow shirt all carried over correctly on both outputs, confirmed by downloading and viewing each file.

WAN 2.7 Image Edit followed the framing instruction

The prompt asked for a cinematic wide shot. WAN 2.7 Image Edit delivered the full bicycle and a wide street with visible rain. Flux Edit Kontext's dev tier cropped to a waist up portrait instead.

WAN 2.7 Image Edit was far faster on this run

About 21 seconds against about 8 minutes for Flux Edit Kontext's dev tier, at the identical 1 credit price.

How It Works

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

1

Start from one reference photo

The same saved character photo went to both tools, at Flux Edit Kontext's default dev tier and WAN 2.7 Image Edit's default Standard tier.

2

Send the identical scene instruction

Both got the same request: place her on a bicycle in a rainy city crosswalk at dusk, keep the face, glasses, hair and outfit identical, and frame it as a wide shot.

3

Download both files and measure them

We opened each output, read the real pixel dimensions, and compared how closely each one followed the wide shot instruction instead of trusting a label.

The Pixel Dojo Advantage

Same reference photo, same instruction, same 1 credit price at the base tier. We downloaded both files and measured them directly rather than trusting either provider's resolution label.

OthersPixel Dojo
Flux Edit Kontext (dev): 1 credit, about 8 minutes (479 seconds) on our run, measured 1024x1024WAN 2.7 Image Edit (Standard): 1 credit, about 21 seconds on the identical prompt and photo, measured 2048x2048
Flux Edit Kontext dev: single reference image only; pro and max add a second reference for 1 and 2 creditsWAN 2.7 Image Edit: up to 9 reference images in one request at the same 1 credit Standard price
Flux Edit Kontext dev: cropped to a waist up portrait, shifted the sky to full night, only two neon signs visibleWAN 2.7 Image Edit: delivered the full wide shot the prompt asked for, with visible rain streaks and more neon signage in frame
Flux Edit Kontext: has its own tool page in the dashboard with a dev, pro and max variant pickerWAN 2.7 Image Edit: API and Canvas only, no dedicated tool page, reached as the edit action inside WAN 2.7

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Real feedback from people using PixelDojo, pulled from our in-product surveys.

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Common Questions

Everything you need to know about Flux Edit Kontext vs WAN 2.7 Image Edit

Which is cheaper, Flux Edit Kontext or WAN 2.7 Image Edit?

They tie at their base tier, 1 credit per image each. Flux Edit Kontext's pro variant also costs 1 credit; only its max variant costs more, at 2 credits. WAN 2.7 Image Edit's Pro tier costs 2 credits.

Which one is faster?

WAN 2.7 Image Edit, by a wide margin in our test: about 21 seconds against about 8 minutes for Flux Edit Kontext's dev tier, on the identical reference photo and instruction.

Which one followed the wide shot instruction better?

WAN 2.7 Image Edit. Our prompt asked for a cinematic wide shot, and WAN 2.7 Image Edit delivered the full bicycle in a wide street scene with visible rain. Flux Edit Kontext's dev tier cropped in to a waist up portrait instead and rendered the sky as full night rather than dusk.

How many reference images can each one take?

Flux Edit Kontext's dev tier accepts one reference image; pro and max accept a second. WAN 2.7 Image Edit accepts up to 9 reference images per request at its base 1 credit price, useful for fusing more source photos into one edit.

What resolution does each one output?

On our identical prompt and photo, Flux Edit Kontext's dev tier measured 1024x1024 and WAN 2.7 Image Edit measured 2048x2048, four times the pixel count at the same 1 credit price.

How do I call either from the API?

POST to /api/v1/models/flux-edit/run with prompt, input_image_1, and model set to dev, pro or max. POST to /api/v1/models/wan-2.7-image-edit/run with prompt and an image_urls array, leaving model unset for the 1 credit Standard tier.

So which one should I use?

Pick WAN 2.7 Image Edit when speed matters, when you are fusing more than two reference images, or when you need the higher 2048x2048 output at the base price. Pick Flux Edit Kontext when you want a dedicated tool page in the dashboard with a dev, pro and max picker, or when you plan to step up to the max tier's second reference slot for a heavier quality pass. On this run WAN 2.7 Image Edit also followed the wide shot framing more literally.

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