Flux2Klein_4B_diff_loras
Omnico/Flux2Klein_4B_diff_loras
Text to Imagediffusers
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 594
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3,004
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +139(increase)
- 5.3%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1544 among tracked Text to Image models.
- #40,158
- 3668(down 3668 places)this week
- Parameters
- —
- Last source update
- Aug 4, 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.
- 44.0
- Flux2Klein_4B_diff_loras gained 139 downloads during the last seven tracked days.
- It moved from #1298 to #1544 among tracked Text to Image models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
Flux2Klein_4B_diff_loras is a text to image model published by Omnico. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 12h ago.
- Published
- Aug 4, 2026
- Last updated
- Aug 4, 2026
- Library
- diffusers
- License
- —
- Task
- Text to Image
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 20
diffuserstext-to-imageloratemplate:diffusion-lorabase_model:black-forest-labs/FLUX.2-klein-4Bbase_model:adapter:black-forest-labs/FLUX.2-klein-4Bregion:us
Publisher
OmnicoView publisher statistics →Derived from black-forest-labs/FLUX.2-klein-4B (reported by the source; parent not yet tracked).
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