AI · Web app
Real-Time Latent Consistency Model Image-to-Image ControlNet
Interactive demo for real-time sketch-to-image generation using LCM and ControlNet
This is an open-source Hugging Face Space created by Radamés Ajna demonstrating low-latency image generation. It combines Latent Consistency Models (LCM) with ControlNet over WebRTC to transform rough sketches or webcam feeds into rendered art on the fly. It serves as a browser-based proof-of-concept for real-time generative diffusion.
What it's for
- Test real-time sketch-to-image generation directly in a browser
- Experiment with Latent Consistency Model inference speeds using WebRTC
- Inspect or duplicate the Space's code to run local real-time diffusion pipelines
Features
- Near-instant image-to-image rendering using Latent Consistency Models (LCM)
- ControlNet integration for sketch and pose conditioning
- WebRTC streaming for ultra-low latency updates
- Text prompt input to guide style and content
- Open code available via Hugging Face Spaces
Pricing
Open source. Free Hugging Face Space; code is open source
Details
- Type
- Web app
- Category
- AI
- Topic
- Image Generation
- Open source
- Yes
- Platforms
- Web
- For
- AI researchers, creative coders, and digital artists exploring real-time diffusion
- Alternative to
- Krea AI
- Tags
- diffusion, lcm, controlnet, real time, hugging face, webrtc
Why it was saved
- @realrileybrown: Allows anyone to test and experiment with real-time AI drawing technology in a web browser for free.
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