nunchaku-sdxl-turbo
nunchaku-ai/nunchaku-sdxl-turbo
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 114
- Total downloadsCumulative all-time download counter reported by the source platform.
- 5,913
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +32(increase)
- 0.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 13
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1064 among tracked Text to Image models.
- #30,809
- 650(down 650 places)this week
- Parameters
- —
- Last source update
- Nov 16, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 22.7
- nunchaku-sdxl-turbo gained 32 downloads during the last seven tracked days.
- It moved from #1019 to #1064 among tracked Text to Image models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
nunchaku-sdxl-turbo is a text to image model published by nunchaku-ai. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 6, 2026.
- Published
- Sep 20, 2025
- Last updated
- Nov 16, 2025
- Library
- diffusers
- License
- other
- Task
- Text to Image
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 5
diffuserstext-to-imageSVDQuantSDXL-TurboDiffusionQuantizationstable-diffusionendataset:mit-han-lab/svdquant-datasetsarxiv:2411.05007base_model:stabilityai/stable-diffusion-xl-base-1.0base_model:quantized:stabilityai/stable-diffusion-xl-base-1.0
Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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