RT
radames/Real-Time-Latent-Consistency-Model
App showcasing multiple real-time diffusion models pipelines with Diffusers
916 114 +0/wk
GitHub
diffusers diffusion-models latent-consistency-model machine-learning mjpeg mjpeg-stream real-time stable-diffusion
Trend
0
Star & Fork Trend (28 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
radames/Real-Time-Latent-Consistency-Model has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | Real-Time-Latent-Consistency-Model | OpenEMMA | awesome-interpretable-machine-learning | Pytorch-Project-Template |
|---|---|---|---|---|
| Stars | 916 | 917 | 917 | 917 |
| Forks | 114 | 121 | 141 | 190 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | Apache-2.0 | N/A | MIT |
Capability Radar vs OpenEMMA
Real-Time-Latent-Consistency-Model
OpenEMMA
Maintenance Activity 0
Last code push 194 days ago.
Community Engagement 62
Fork-to-star ratio: 12.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.