Flux-Double-Exposure-LoRA
gokaygokay/Flux-Double-Exposure-LoRA
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 656
- Total downloadsCumulative all-time download counter reported by the source platform.
- 27.1K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +149(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.
- 18
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1446 among tracked Text to Image models.
- #38,530
- 309(down 309 places)this week
- Parameters
- —
- Last source update
- Jul 31, 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.
- 35.2
- Flux-Double-Exposure-LoRA gained 149 downloads during the last seven tracked days.
- It moved from #1418 to #1446 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
Flux-Double-Exposure-LoRA is a text to image model published by gokaygokay. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 7, 2026.
- Published
- Oct 29, 2024
- Last updated
- Jul 31, 2026
- Library
- diffusers
- License
- apache-2.0
- Task
- Text to Image
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 21
diffusersloratext-to-imageenbase_model:black-forest-labs/FLUX.1-devbase_model:adapter:black-forest-labs/FLUX.1-devlicense:apache-2.0region:us
Publisher
gokaygokayView publisher statistics →Derived from black-forest-labs/FLUX.1-dev (reported by the source; parent not yet tracked).
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