Video Background Remover: AI Video-to-Video Backdrop Editing Fast Model Playground & API | RunComfy

The Fast model uses a streamlined architecture optimized specifically for low latency and high throughput. While the standard video background remover prioritizes maximum edge precision, this variant significantly reduces inference time, making it ideal for real-time previews or bulk processing.

For many use cases like mobile app overlays, social media drafts, or small screen viewing, the quality is excellent. However, you may notice slightly softer edges around complex details (like frizzy hair) compared to the standard model. We recommend testing both to see if the speed gain outweighs the minor difference in detail.

To maximize speed, set the refine_foreground_edges parameter to false and use h264 as the output codec. This configuration skips the secondary detailing pass and uses a faster encoder, turning the tool into a near-real-time video background remover suitable for rapid prototyping.

Yes. RunComfy’s infrastructure is designed to scale. Developers can send concurrent API requests to process multiple videos simultaneously, making this fast video background remover ideal for datasets or apps with high user volume.

Yes. The input and output schema are identical. You can switch between the Fast and Standard versions simply by changing the model endpoint URL in your API request, allowing you to easily offer "Preview" (Fast) and "High Quality" (Standard) modes in your own application.