Real-Time Latent Consistency Model Image-to-Image ControlNet is a Hugging Face Space showcasing accelerated image-to-image generation. It combines ControlNet conditioning with Latent Consistency Models to allow near real-time transformations guided by reference images or sketches. The demo highlights low-latency creative image editing capabilities.
Real-Time Latent Consistency Model sits in PulseGate's Image generation category. It focuses on performing fast, interactive image-to-image edits with structural guidance in a web browser. Real-Time Latent Consistency Model is a consumer product aimed at digital artists and AI tinkerers. It is available for free. Real-Time Latent Consistency Model is available on the web, and it can be self-hosted.
Behind Real-Time Latent Consistency Model is radames, and it first shipped in 2024. Key capabilities include Real-time Editing, image-to-Image, and controlNet.
Summary written by a language model from the project’s public pages.
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