radames/Real-Time-Latent-Consistency-Model

App showcasing multiple real-time diffusion models pipelines with Diffusers

48
/ 100
Emerging

Streams real-time inference via MJPEG server with pluggable pipeline architecture supporting Latent Consistency Models, SD Turbo, SDXL, and ControlNet variants—many optimized with LoRA adapters for 4-step generation. Built on Diffusers with a Node.js frontend, deployable via Docker with torch-compile and Tiny Autoencoder options for inference acceleration. Integrates webcam input for interactive image-to-image and text-to-image generation across multiple model families.

914 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 20 / 25

How are scores calculated?

Stars

914

Forks

113

Language

Python

License

Apache-2.0

Last pushed

Sep 27, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/radames/Real-Time-Latent-Consistency-Model"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.