Seedream V3

Seedream 3.0 is a bilingual (Chinese/English) text‑to‑image model optimized for realistic, photographic-style generation. It produces high-definition images with strong natural lighting, convincing photography effects, and well-composed scenes.

Workflow

veo3.1 first-last frame to video

<1k runs

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Video

Workflow

Text to Video: VEO3 Fast

Faster and cheaper than VEO3. Generates clips with sound and voice.

<1k runs

Agent

Miniature History

This agent uses Seedream, Seedance and ElevenLabs to create short, 32 second tilt shift style miniature figure videos on any historical topic.

<1k messages

Speed

Price

Inputs

Text

Outputs

Image

Lab

ByteDance

Seedream V3 sample outputs

Captured directly from our eval suite. Click any tile to inspect the full render.

FAQs

Break your brief into palette, lighting, and subject tokens inside prompt variables, then reuse that pack across Seedream nodes so every rerender keeps the same brand vibe.

More from the Seedream family

Explore other options from the same family.

Seedream V4 Image to Image

ByteDance

Seedream V4 Text to Image

ByteDance

Seedream V4.5

ByteDance

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Realistic portrait test

“A kodachrome 25 photograph of a woman with curly brown hair walking through a busy city street, natural lighting, dynamic composition, 35mm lens, authentic urban atmosphere”

EngineId: seedream/v3

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Height: 1024

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Width: 1024

Text rendering capability test

“A vintage poster with the text 'GLIF ALLHANDS 2025' in bold retro typography, with undertext saying 'Reykjavik, Iceland', vibrant colors, psychedelic style with glossy 3d elements”

EngineId: seedream/v3

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Height: 1024

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Width: 1024

Testing very long and detailed prompts

“studio photograph of a silver panther on the left, a giant beach ball in the middle and a tall man on the right. the panther has long fur and green horns, its claws are attached to garden hoses that end up in milkshakes, the left scene is a highway restaurant. The beachball has chrome and black sections and is in surrounded by water, the man is wearing hi-viz street fashion and is cosplaying as a techbro and is surrounded by multiple signs that 'we're so back'”

EngineId: seedream/v3

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Height: 1024

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Width: 1024

Vague prompt test

“determinism”

EngineId: seedream/v3

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Height: 1024

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Width: 1024

Social media selfie test

“male power tool influencer taking a selfie, perfect lighting, trendy outfit, confident smile, modern background, candid raw iPhone photo style”

EngineId: seedream/v3

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Height: 1024

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Width: 1024

Check if a model can do miniature scenes inherently

“Miniature tilt-shift scene of a wooden trebuchet siege engine in a medieval military warcamp, with canvas tents scattered around, armored soldiers and engineers working on the catapult, wooden fortifications in background, campfires smoking, banners fluttering in the wind, muddy ground with wagon tracks, medieval era setting”

EngineId: seedream/v3

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Height: 1024

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Width: 1024

Suprise prompt

“grindle flompa zeet varoo, plingle drask in bloofer haze — twomple zarn reega 7, snibble dront kalee swoop, mirra gongle thru floovian glass, blorpa tect frindle noom, abstract glibber fog machine of gloon and jell, high surreal detail, untranslatable energy field, visual nonsense in motion”

EngineId: seedream/v3

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Height: 1024

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Width: 1024

Tall forehead test

“1928 Mickey Mouse with a very, very tall forehead”

EngineId: seedream/v3

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Height: 1024

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Width: 1024

Seedream V3

veo3.1 first-last frame to video

Text to Video: VEO3 Fast

Miniature History

Seedream V3 sample outputs

FAQs

How do I get Seedream to stick to a detailed brand style?

What's the best way to iterate on compositions?

Can I combine Seedream with other image models?

More from the Seedream family

Launch your first agent today

Realistic portrait test

Text rendering capability test

Testing very long and detailed prompts

Vague prompt test

Social media selfie test

Check if a model can do miniature scenes inherently

Suprise prompt

Tall forehead test

How do I keep text legible in Seedream renders?

Does Seedream respect strict aspect ratios?

How do I manage credit usage when exploring dozens of looks?