README

README.md

@@ -9,7 +9,7 @@ language:
 [**Code**](https://github.com/nv-tlabs/Fixer) | [**Paper**](https://arxiv.org/abs/2503.01774)
 
 ## Use the Fixer Model
-Please visit the [Fixer repository](https://github.com/nv-tlabs/Fixer) to access all relevant files and code needed to use Difix
+Please visit the [Fixer repository](https://github.com/nv-tlabs/Fixer) to access all relevant files and code needed to use Fixer
 
 ## Description: 
 Fixer is a single-step image diffusion model trained to enhance and remove artifacts in rendered novel views caused by
@@ -25,8 +25,6 @@ Fixer has two operation modes:
   
 Fixer is an all-encompassing solution, a single model compatible with both Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) representations. This model, however, was trained on 3DGUT data and is highly adaptable to GS scenes.
 
-**This model is ready for commercial/non-commercial use.**
-
 **Model Developer:** NVIDIA
 
 **Model Versions:** Fixer
@@ -36,6 +34,7 @@ Fixer is an all-encompassing solution, a single model compatible with both Neura
 ### License/Terms of Use:
 Your use of the model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).
 
+**This model is ready for commercial/non-commercial use.**
 
 ### Use Case:
 Fixer is intended for Physical AI developers looking to enhance and improve their Neural Reconstruction pipelines. The model takes an image as an input and outputs a fixed image.