Seedream 5 vs Flux 2 Pro
Generated on PixelDojo. Produced by PixelDojo's generation pipeline.
Seedream 5 costs 1.25 credits for a 1K edit. Flux 2 Pro costs 1.5 credits at its 1 megapixel setting. We fed both the same reference character sheet and the same scene-placement prompt on August 26, 2026 to see what that quarter-credit difference gets you.
Same character, both models, August 26 2026
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
Seedream 5
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 2 Pro
Same reference image, same prompt, same day. Seedream 5: 1.25 credits, about 34 seconds. Flux 2 Pro: 1.5 credits, about 26 seconds.
How It Works
How we ran the comparison:
Start from the same character sheet
One reference image, generated earlier with a character-consistency tool, fed as the only reference to both models.
Send the same scene-placement prompt
The same instruction, naming every identity detail to preserve: face, glasses, hair color and texture, jacket, and shirt.
Download and compare both results
We pulled both finished files and checked them against the reference for identity match, then noted the price and time each one actually charged.
The Pixel Dojo Advantage
| Others | Pixel Dojo |
|---|---|
| Price | Seedream 5 is 1.25 credits at 1K, 2.5 at 2K. Flux 2 Pro is 1.5 credits at 1 megapixel, 1 at 0.5 megapixel, 2 at 2 or 4 megapixels. At their default tiers, Seedream 5 is slightly cheaper. |
| What we measured | Seedream 5 finished in about 34 seconds for 1.25 credits. Flux 2 Pro finished in about 26 seconds for 1.5 credits, the faster of the two by 8 seconds for a quarter credit more. |
| Reference image limit | Both accept up to 10 reference image URLs per request. Both took just the one character sheet in our test. |
| What we saw: Seedream 5 | A tight, cinematic 1568x672 crop on the rider's upper body and the handlebars, in sharp focus. Face, round glasses, curly red hair, denim jacket, and yellow shirt matched the reference. The neon shop signs behind her fell to soft colorful bokeh, not readable text, with color reflecting clearly on the wet crosswalk. |
| What we saw: Flux 2 Pro | A full-body, square 1024x1024 shot facing the camera, with the whole bicycle, the crosswalk stripes, visible rain streaks, and street traffic including a yellow taxi and a black car in the background. Face, glasses, red curly hair, denim jacket, and yellow shirt matched the reference. The background signage is blurred with some legible letter fragments rather than clean words. |
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Common Questions
Everything you need to know about Seedream 5 vs Flux 2 Pro
Which is cheaper, Seedream 5 or Flux 2 Pro?
Seedream 5, by a quarter credit: 1.25 at its 1K default against Flux 2 Pro's 1.5 at its 1 megapixel default. Flux 2 Pro drops to 1 credit at 0.5 megapixels if the smaller size works for your use.
Which one frames the scene more completely?
In our test, Flux 2 Pro kept the whole bicycle, the crosswalk, and street traffic in a square full-body frame. Seedream 5 cropped in tighter on the rider's upper body and let the background go soft, in a wide cinematic aspect.
Which is faster?
Flux 2 Pro, at about 26 seconds against Seedream 5's about 34 seconds in our August 26, 2026 run.
How many reference images can each one take?
Both accept up to 10 reference image URLs in a single request.
Did both keep the character consistent?
Yes. Face, glasses, red curly hair, denim jacket, and yellow shirt all matched our reference character sheet in both outputs.
How do I call these from the API?
Same key, same shape: POST to /api/v1/models/seedream-5/run or /api/v1/models/flux-2-pro/run with your API key, a prompt, and image_urls (Seedream 5) or input_images (Flux 2 Pro) pointing at your source image.