RAE-collections
nyu-visionx/RAE-collections
Unconditional Image GenerationLicense: mit
Tracked by OpenModelStats since September 4, 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.
- —
- LikesCommunity likes reported by the source platform.
- 49
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #18 among tracked Unconditional Image Generation models.
- #56,683
- 943(down 943 places)this week
- Parameters
- —
- Last source update
- Mar 1, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 4.4
- It moved from #19 to #18 among tracked Unconditional Image Generation models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
RAE-collections is a unconditional image generation model published by nyu-visionx. OpenModelStats has tracked the model since Sep 4, 2026, most recently observing it Oct 4, 2026.
- Published
- Oct 13, 2025
- Last updated
- Mar 1, 2026
- Library
- —
- License
- mit
- Task
- Unconditional Image Generation
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 0
unconditional-image-generationarxiv:2510.11690license:mitregion:us
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