WAN 2.7 Pro vs Seedream 5
Generated on PixelDojo. Produced by PixelDojo's generation pipeline.
WAN 2.7 Pro costs 2 credits per image and Seedream 5 costs 1.25 credits at its 1K tier. We sent both the same reference photo of a woman with red curly hair and glasses, with instructions to place her on a bicycle crossing a rainy crosswalk, on August 26, 2026. Both kept her face, glasses, hair and outfit recognizable, and both finished in about 34 seconds. The real difference is framing and price, not whether the edit worked.
Same photo, same instruction, two crops
Every example below was produced on PixelDojo. Hover to see the prompt.
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
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
Seedream 5
Same reference photo, same edit instruction, same day. WAN 2.7 Pro: 2 credits, about 34 seconds, square crop. Seedream 5: 1.25 credits at 1K, about 34 seconds, wide cinematic crop.
Why Choose Pixel Dojo for WAN 2.7 Pro vs Seedream 5
Professional-quality results with cutting-edge AI technology
Both preserved the actual identity
Neither model swapped in a different face. The glasses, red curly hair, denim jacket and yellow shirt from the source photo all carried over to the new scene on both outputs.
Seedream 5 is the cheaper of the two here
1.25 credits at its 1K tier against WAN 2.7 Pro's flat 2 credits, for a matching turnaround of about 34 seconds.
WAN 2.7 Pro kept the full figure and bike in frame
Its square output shows her whole body on the bicycle. Seedream 5's wide crop shows more of the street but cuts off below the handlebars.
How It Works
How we ran the comparison, so you can repeat it:
Send the same photo and instruction to both
The identical reference photo and scene-placement wording went to wan-2.7-image-pro and to seedream-5 at its 1K tier, with no other settings changed.
Bracket each request with a timestamp
We logged the second before submitting and the second the finished file arrived, for both models, on the same day.
Check identity first, framing second
We compared each output against the source photo for face, hair, glasses and outfit match before comparing crop and price.
The Pixel Dojo Advantage
Same reference photo, same day. Both kept the identity, the differences are price and framing.
| Others | Pixel Dojo |
|---|---|
| WAN 2.7 Pro: 2 credits flat, about 34 seconds on our run | Seedream 5: 1.25 credits at the 1K tier we ran, 2.5 at 2K, about 34 seconds at 1K |
| WAN 2.7 Pro: output 2048x2048, full figure and bicycle in frame | Seedream 5: output 1568x672, wider street visible but framing crops below the handlebars |
| WAN 2.7 Pro: kept the face, glasses and outfit close to the source | Seedream 5: kept the face, glasses and outfit close to the source, warmer cinematic color grade |
| WAN 2.7 Pro: size field with explicit resolution tiers up to 4K, Pro only | Seedream 5: image_size field with auto_1K and auto_2K, price doubles at the 2K tier |
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Common Questions
Everything you need to know about WAN 2.7 Pro vs Seedream 5
What does WAN 2.7 Pro cost versus Seedream 5?
WAN 2.7 Pro is a flat 2 credits per image. Seedream 5 is 1.25 credits at its 1K tier and 2.5 credits at its 2K tier, so Seedream 5 is the cheaper option at matching quality tiers.
Do both models actually keep the same face from a reference photo?
Yes, on our run. We sent the same source photo and edit instruction to both, and both outputs kept her face, glasses, red curly hair, denim jacket and yellow shirt recognizable from the source.
Which one is faster?
They matched on our run, about 34 seconds each, same reference photo and instruction, same day.
Which output shows more of the scene?
Seedream 5's output is a wider 1568x672 crop that shows more of the street and signage. WAN 2.7 Pro's 2048x2048 output is a tighter square that keeps her whole body and the bicycle fully in frame.
Which should I use for a reference-based scene edit?
Seedream 5 if price matters more and a wide cinematic crop works for your scene. WAN 2.7 Pro if you need the full figure kept in a square frame and don't mind the extra 0.75 credits.
How do I call either one from the API?
POST to /api/v1/models/wan-2.7-image-pro/run for WAN 2.7 Pro, or /api/v1/models/seedream-5/run with image_size set to auto_1K for Seedream 5 at the price we measured. Same API key for both.