Update README.md

README.md

@@ -24,7 +24,7 @@ library_name: diffusers
 <a title="arXiv" href="https://arxiv.org/abs/2505.09358" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
     <img src="https://img.shields.io/badge/%F0%9F%93%84%20Read%20-Paper-AF3436" alt="arXiv">
 </a>
-<a title="License" href="https://github.com/CompVis/stable-diffusion/blob/main/LICENSE"
+<a title="License" href="LICENSE"
    target="_blank" rel="noopener noreferrer" style="display: inline-block;">
   <img src="https://img.shields.io/badge/License-CreativeML%20OpenRAIL-7C3AED" alt="License">
 </a>
@@ -38,7 +38,7 @@ described in our paper:
 ## Model Details
 - **Developed by:** [Vukasin Bozic](https://vulus98.github.io/), [Isidora Slavkovic](linkedin.com/in/isidora-slavkovic), [Dominik Narnhofer](https://scholar.google.com/citations?user=tFx8AhkAAAAJ&hl=en), [Nando Metzger](https://nandometzger.github.io/), [Denis Rozumny](https://rozumden.github.io/), [Konrad Schindler](https://scholar.google.com/citations?user=FZuNgqIAAAAJ), [Nikolai Kalischek](https://scholar.google.com/citations?user=XwzlnZoAAAAJ&hl=de).
 - **Model type:** Generative latent diffusion-based one-step scale-invariant monocular panoramic depth estimation from a single ERP image.
-- **License:** [CreativeML OpenRAIL License](https://github.com/CompVis/stable-diffusion/blob/main/LICENSE).
+- **License:** [CreativeML OpenRAIL License](LICENSE).
 - **Model Description:** This model can be used to generate an estimated depth map of a panoramic input image. 
   - **Resolution**: The model is designed to support large resolutions up to 3K.
   - **Steps and scheduler**: This model works in a swift, one-step regime.