Seedream 2.0
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- ByteDance
- Organisation type
- Industry
- Country
- China
- Published
- 10 March 2025
- Authors
- Lixue Gong, Xiaoxia Hou, Fanshi Li, Liang Li, Xiaochen Lian, Fei Liu, Liyang Liu, Wei Liu, Wei Lu, Yichun Shi, Shiqi Sun, Yu Tian, Zhi Tian, Peng Wang, Xun Wang, Ye Wang, Guofeng Wu, Jie Wu, Xin Xia, Xuefeng Xiao, Linjie Yang, Zhonghua Zhai, Xinyu Zhang, Qi Zhang, Yuwei Zhang, Shijia Zhao, Jianchao Yang, Weilin Huang
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation
- Task
- Image generation, Text-to-image
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- API access
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Likely above 10²³ FLOP
- Yes
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model
- Last updated
- 28 November 2025
What the numbers mean
About this model
Seedream 2.0 was published by ByteDance, in China, in March 2025. It comes out of industry.
It works in Image generation, and is recorded as doing image generation, Text-to-image.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
Seedream 2.0 — common questions
Is Seedream 2.0 open source?
No. Seedream 2.0 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Seedream 2.0 have?
No parameter count has been published for Seedream 2.0, which is why no memory or speed figure appears on this page.
Who created Seedream 2.0?
Seedream 2.0 was published by ByteDance, based in China, categorised as industry.
When was Seedream 2.0 released?
Seedream 2.0 was published in March 2025.
What is Seedream 2.0 used for?
Seedream 2.0 works in Image generation, and is recorded as handling image generation, Text-to-image. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Seedream 2.0?
None. Seedream 2.0 is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.