Add pipeline tag and license

README.md

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 library_name: diffusers
+license: mit
+pipeline_tag: image-to-image
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+
 ## EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling
 
+Project page: https://eq-vae.github.io/.
+
 **EQ-VAE** regularizes the latent space of pretrained autoencoders by enforcing equivariance under scaling and rotation transformations. 
 
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 #### Model Description 
 This model is a regularized version of [SD-VAE](https://github.com/CompVis/latent-diffusion). We finetune it with EQ-VAE regularization  for 44 epochs on Imagenet with EMA weights.
 
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 ## Model Usage
 
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 2. **Loading the Model**  
    You can load the model from the Hugging Face Hub:
    ```python
@@ -28,5 +31,4 @@ Reconstruction performance of eq-vae-ema on Imagenet Validation Set.
 | **PSNR**   | 26.158    |
 | **LPIPS**  | 0.133     |
 | **SSIM**   | 0.725     |
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