MCP just hit a tipping point: - @hf.co made it dead simple: just type "hf.co/mcp" in your chat. No JSON wrestling, no config files. - Meanwhile, OpenAI, Google, and Microsoft all adopted it as their standard.
We just released the [BiRefNet_HR](ZhengPeng7/BiRefNet_HR) for general use on higher resolution images, which was trained with images in 2048x2048. If your images are mostly larger than 1024x1024, use BiRefNet_HR for better results! Thanks to @Freepik for the kind support of H200s for this huge training.
HF Model: ZhengPeng7/BiRefNet_HR. HF Demo: ZhengPeng7/BiRefNet_demo, where you need to choose General-HR and set high resolution. PyTorch weights & ONNX: in Google Drive and the GitHub release.
Here is a comparison between the results of the original one and the new HR one on HR inputs:
And, the performance of this new HR one and the previous one trained in 1024x1024 on val set:
