SeedEdit
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
- 11 November 2024
- Authors
- Yichun Shi, Peng Wang, Weilin Huang
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Vision
- Task
- Image generation
- Approach
- Supervised
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.
- Why it is tracked
- SOTA improvement
- Record confidence
- Unknown
Unclear how many users "Table 1 shows the quantitative results of the baselines and our method. Overall, our method shows a significantly higher editing score on both benchmarks than open-source baselines." not absolute SOTA
Sources
Where this record came from and when it was last checked.
- Reference
- SeedEdit: Align Image Re-Generation to Image Editing
- Last updated
- 28 November 2025
What the numbers mean
What this model is
SeedEdit was published by ByteDance, in China, in November 2024. The organisation is categorised as industry.
It works in Vision, and is recorded as doing image generation.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
What went into building it
The reason it appears in this catalogue at all is sOTA improvement.
Answers
SeedEdit — common questions
Who created SeedEdit?
SeedEdit was published by ByteDance, based in China, categorised as industry.
When was SeedEdit released?
SeedEdit was published in November 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is SeedEdit used for?
SeedEdit works in Vision, and is recorded as handling image generation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run SeedEdit?
None. SeedEdit 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.
Is SeedEdit open source?
No. SeedEdit has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does SeedEdit have?
No parameter count has been published for SeedEdit, which is why no memory or speed figure appears on this page.
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.