stable-diffusion-v1-5-inpainting
botp/stable-diffusion-v1-5-inpainting
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,790
- Total downloadsCumulative all-time download counter reported by the source platform.
- 78.4K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +577(increase)
- 0.8%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 10
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #805 among tracked Text to Image models.
- #24,152
- 1403(up 1403 places)this week
- Parameters
- —
- Last source update
- May 5, 2023
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 48.0
- stable-diffusion-v1-5-inpainting gained 577 downloads during the last seven tracked days.
- It moved from #841 to #805 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
stable-diffusion-v1-5-inpainting is a text to image model published by botp. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 4h ago.
- Published
- May 5, 2023
- Last updated
- May 5, 2023
- Library
- diffusers
- License
- creativeml-openrail-m
- Task
- Text to Image
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 82
diffusersstable-diffusionstable-diffusion-diffuserstext-to-imagearxiv:2207.12598arxiv:2112.10752arxiv:2103.00020arxiv:2205.11487arxiv:1910.09700license:creativeml-openrail-mdiffusers:StableDiffusionInpaintPipelineregion:us
Publisher
botpView publisher statistics →Similar models
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