Seedream 5 vs Kling Image
Generated on PixelDojo. Produced by PixelDojo's generation pipeline.
Use Seedream 5 when a specific person has to appear correctly in a new scene, because it takes a reference photo and edits from it. Kling Image cannot accept one, so the same request becomes a guess built from the words alone. We sent the same character-placement prompt to both on August 26, 2026: Seedream 5, given the actual reference photo, cost 1.25 credits and took about 155 seconds. Kling Image, working from text only, cost 1 credit and took about 159 seconds. This page shows both results and what the missing reference photo actually changes.
One reference photo, one guess from words alone
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
Kling Image
What the two runs actually measured
The runs were not apples to apples, on purpose
We had a real reference photo of a specific woman, a character sheet generated earlier the same day. Seedream 5 took that photo as input and edited it into a new scene. Kling Image's schema has no image field at all, so it received only the sentence describing her and had to invent someone matching it.
Seedream 5's test: 1.25 credits, about 155 seconds
The auto_1K size tier, one reference image, editing toward the bicycle-crossing scene. The finished image measured 1568 by 672 pixels: the woman riding mid-pedal through a wet crosswalk, the reference photo's red curly hair, round glasses, denim jacket and yellow shirt all carried over, colored neon signage reflected across the wet street.
Kling Image's test: 1 credit, about 159 seconds
Text-to-image only, default 1K resolution and 1:1 aspect ratio, same prompt wording. The finished image measured 1024 by 1024 pixels: a woman with red curly hair, round glasses, a denim jacket over a yellow top, riding side-on through a splash of rainwater with neon shop signs streaked behind her. Coincidentally close to the description in isolation, but there is no actual reference photo behind it, and nothing ties this specific face to the one in our character sheet.
This is a schema difference, not a settings difference
Kling Image's input parameters cover prompt, negative prompt, resolution, aspect ratio, output count and format. There is no reference-image field anywhere in it. Seedream 5 accepts up to 10 reference image URLs in the same request that carries the prompt.
Price and resolution ceiling both favor Kling Image on a pure text brief
Kling Image is a flat 1 credit at either its 1K or 2K resolution tier, and its 2K tier goes higher than Seedream 5's own 2K default. The tradeoff, visible in our test, is that nothing about the output is tied to an actual existing subject.
Same prompt, same day, one real capability gap. Seedream 5 with a reference photo: 1.25 credits, about 155 seconds. Kling Image from text only: 1 credit, about 159 seconds.
Why Choose Pixel Dojo for Seedream 5 vs Kling Image
Professional-quality results with cutting-edge AI technology
Pick Seedream 5 to keep a face and outfit consistent
It is the one of the two that can take a reference photo, so a specific person actually appears rather than being reinvented from a description.
Pick Kling Image for a fast, cheap fresh scene
1 credit and a 2K resolution option when there is no existing subject to preserve, only a text idea.
Both rendered legible storefront signage
Seedream 5's neon reflections and Kling Image's streaked shop signs both came back as real, readable shapes rather than garbled lettering.
How It Works
How we ran the comparison, so you can repeat it:
Start from a real reference photo
We used a character sheet image generated earlier the same day: a woman with red curly hair, round glasses, a denim jacket and a yellow shirt.
Send the same scene-placement prompt to both models
Seedream 5 received the reference photo alongside the prompt. Kling Image received only the prompt text, since it has no image input.
Compare what came back
POST to /api/v1/models/seedream-5/run or /api/v1/models/kling-image/run. Ours charged 1.25 and 1 credits and returned in about 155 and 159 seconds, with only one of the two actually matching the source photo.
The Pixel Dojo Advantage
Real numbers and a real capability gap from the same day, same prompt.
| Others | Pixel Dojo |
|---|---|
| Seedream 5: 1.25 credits at the 1K tier used here, 2.5 at 2K. | Kling Image: a flat 1 credit at either its 1K or 2K resolution tier. |
| Seedream 5 measured turnaround: about 155 seconds for the edit. | Kling Image measured turnaround: about 159 seconds from text alone, close enough that price and capability decide this, not speed. |
| Seedream 5 output: 1568x672, matching the reference photo's face, hair, glasses and outfit. | Kling Image output: 1024x1024 at 1K default, up to 2K, a different woman built from the words, not the actual photo. |
| Seedream 5 accepts up to 10 reference image URLs per request. | Kling Image has no reference-image field in its schema at all. |
| Seedream 5 generates up to 4 images per call. | Kling Image generates up to 9 images per call, the higher batch ceiling of the two. |
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Common Questions
Everything you need to know about Seedream 5 vs Kling Image
Can Kling Image edit an existing photo?
No. Its schema covers prompt, resolution, aspect ratio, output count and format, with no reference-image field anywhere in it.
Can Seedream 5 keep a specific person's face across a scene change?
Yes. Send the reference photo as one of up to 10 image URLs alongside the prompt, and it edits from that image instead of generating a fresh person. Our test kept the hair, glasses, jacket and shirt from the reference intact.
Which is cheaper?
Kling Image, at a flat 1 credit against Seedream 5's 1.25 credits at the 1K tier used in this test, or 2.5 credits at Seedream 5's 2K default.
Which is faster?
Neither, in our test. Seedream 5 took about 155 seconds and Kling Image about 159 seconds on the same prompt, close enough to call a tie. Turnaround moves with queue load on both.
Which should I use for a character in a new scene?
Seedream 5, if the character already exists as a photo and has to look the same. Kling Image, if you only have a description and a fresh interpretation is fine, or if you want its higher 2K resolution ceiling at a flat price.
How do I call each one from the API?
POST to /api/v1/models/seedream-5/run with image_urls and a prompt for Seedream 5, or /api/v1/models/kling-image/run with just a prompt for Kling Image. Same API key both times.