WaveDiT
danesed/WaveDiT
Tracked by OpenModelStats since September 15, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 0
- Total downloadsCumulative all-time download counter reported by the source platform.
- 0
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- 0
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 3
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads.
- —
- –this week
- Parameters
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- Last source update
- Jun 17, 2026
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-09-15. Charts appear as daily observations accumulate.
Overview
WaveDiT is a unconditional image generation model published by danesed. OpenModelStats has tracked the model since Sep 15, 2026, most recently observing it Sep 22, 2026.
- Published
- Jun 10, 2026
- Last updated
- Jun 17, 2026
- Library
- pytorch
- License
- mit
- Task
- Unconditional Image Generation
- Parameters
- —
- Spaces
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- Derivative models
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- Velocity 7D/day
- 0
pytorchmedical-imagingmribrainneuroimaging3ddiffusionflow-matchinggenerativeunconditional-image-generationarxiv:2606.08670license:mit
Publisher
danesedView publisher statistics →Similar models
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