Landscape Models AI Generator
Generated on PixelDojo. Produced by PixelDojo's generation pipeline.
Seedream 5 gave us the biggest landscape, and it was the only one that arrived as a wide frame. We sent the same storm lit rice valley brief to three models on August 26, 2026. Seedream 5 cost 2.5 credits, took about 90 seconds, and returned 2816 by 1584 with a waterfall, a village and a burning gap in the cloud. WAN 2.7 Pro cost 2 credits, finished in about 36 seconds, and produced the most believable weather of the three. Flux Krea Dev cost 1 credit and looks the most like a real photograph, at 1024 by 1024. Scale, realism and price each went to a different model.
Side-by-side, same prompt
Every model below ran the identical prompt on PixelDojo so the outputs are directly comparable: “Storm light over a terraced rice valley after rain, low clouds drifting through, a hiker in a red jacket on the ridge path, epic scale”
Seedream 5
90sThe only wide frame of the three at 2816 by 1584, with a waterfall, a village and a gold break in the storm. 2.5 credits.
WAN 2.7 Pro
36sThe most convincing weather and the only properly equipped hiker. 2 credits, about 36 seconds, 2048 by 2048.
Flux Krea Dev
101sReads most like an actual photograph, with god rays and natural contrast, but only 1024 by 1024. 1 credit.
Scale, weather and grain: how the three split the brief
1. Seedream 5, 2.5 credits, about 90 seconds
Seedream 5 took the words epic scale at face value. Its frame is an amphitheatre of flooded terraces catching gold light, a waterfall spilling from the left ridge, mist pulled between dark peaks, a cluster of village roofs on the right, and a small figure in a red jacket on the path. The file arrived at 2816 by 1584 without us asking for a size, so it is the only one you can crop for a banner or a desktop background without upscaling first. The look is heightened rather than documentary: the sunset break is very saturated and the terraces glow. Skip it if you want restraint, or if you are producing a batch. At 2.5 credits and about 90 seconds it was the most expensive and second slowest run here.
2. WAN 2.7 Pro, 2 credits, about 36 seconds
WAN 2.7 Pro made the most convincing photograph of a real day in bad weather. Heavy grey cloud fills the top third with one silver break, mist tears through the ridges, and the terraces below hold sheet water that mirrors the sky. The hiker is the detail that sells it: a red hooded rain jacket, a full backpack, a trekking pole, boots planted on a wet stone path with grass and runoff in the foreground. It is the only one of the three where the person looks equipped for the conditions in the frame. It also came back fastest at about 36 seconds and at 2048 by 2048. Skip it if you need a wide aspect out of the box, since it delivered square, or if the brief calls for drama rather than accuracy.
3. Flux Krea Dev, 1 credit, 101 seconds
Flux Krea Dev is the cheapest of the three and the closest to a photograph taken on a real camera. Shafts of light break through a bright cloud gap onto the terraces, the foreground slope falls into deep shadow, the greens are muted rather than emerald, and there is a soft vignette at the edges of the frame. The hiker in red walks away up the path on the right, small and unposed. It is the least postcard of the set. The limits are size and speed: 1024 by 1024, and 101 seconds, which was the slowest run in this comparison. Skip it if the image has to be printed large or cropped hard. At 1 credit it is the one to use for mood boards and quick exploration.
Same valley, three models, same day. 1 to 2.5 credits per image. Delivered sizes ranged from 1024 by 1024 up to 2816 by 1584.
Why Choose Pixel Dojo for Landscape Models
Professional-quality results with cutting-edge AI technology
Delivered size varies more than price
The same prompt returned 1024 by 1024, 2048 by 2048 and 2816 by 1584. Check what a model hands back by default before you plan a crop.
Weather is where realism breaks
Cloud, mist and wet ground separated these three more than terrain did. Judge a landscape model on its sky before anything else.
The figure in the frame is a detail test
All three placed the red jacket correctly on the path. Only one dressed the hiker for rain, which is the kind of thing a viewer notices without knowing why.
How It Works
How this comparison was put together:
Write a brief with three demands in it
Storm light, drifting cloud and a small figure for scale. A landscape prompt that asks for weather and a subject exposes differences that a plain mountain view hides.
Take the default frame
We set no aspect ratio and no resolution on any of the three, so the delivered sizes in this comparison are the defaults each model chose for the same words.
Rank on scale, then realism, then cost
Widest usable frame first, because that is hardest to fix afterwards. Then the sky and the ground detail. Price and measured speed broke the ties.
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Common Questions
Everything you need to know about Landscape Models
Which AI model is best for landscapes?
Seedream 5 for scale, at 2.5 credits and about 90 seconds, because it was the only one that returned a wide 2816 by 1584 frame with a full valley in it. WAN 2.7 Pro is the better pick for realistic weather and it finished in about 36 seconds.
What is the cheapest landscape model here?
Flux Krea Dev at 1 credit per image. It produced the most photographic light of the three, with the trade off that its file is 1024 by 1024 and the run took 101 seconds.
Which one gives the widest frames?
Seedream 5 returned 2816 by 1584 from this prompt with no size setting from us. The other two came back square. All three accept an aspect ratio setting if you want to force the shape.
How long does a landscape image take?
About 36 seconds for WAN 2.7 Pro, about 90 for Seedream 5, and 101 for Flux Krea Dev, all measured on August 26, 2026. Turnaround shifts with queue load, so treat these as typical figures.
Can I use these images as wallpapers or banners?
The Seedream 5 file is already wide enough for a desktop background or a page banner. For the square outputs, either set an aspect ratio in the request or run the result through an upscaler before you crop it hard.
Can I generate landscapes from an API?
Yes. POST to /api/v1/models/seedream-5/run, /api/v1/models/wan-2.7-image-pro/run or /api/v1/models/flux-krea-dev/run with one key and the same request body shape.