Upload folder using huggingface_hub (#2)

- 6e74ed3ba627d56a52296bbfb5b45474ed4e11fe7f575fd5feb57a0873a40901 (a1d6204d8e7da3479c71bc612c405090a6ab613f)
- 4a24b79005bf6950a7e39c6796a80e0fdf873053ed54ee62dadcd01ab8e20691 (6d79a635a320966faecbebad5b158e4f8cf055d1)

README.md

@@ -35,7 +35,10 @@ metrics:
 
 ![image info](./plots.png)
 
-These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in config.json. Results may vary in other settings (e.g. other hardware, image size, batch size, ...).
+**Important remarks:**
+- The quality of the model output might slightly vary compared to the base model. There might be minimal quality loss.
+- These results were obtained on NVIDIA A100-PCIE-40GB with configuration described in config.json and are obtained after a hardware warmup. Efficiency results may vary in other settings (e.g. other hardware, image size, batch size, ...).
+- You can request premium access to more compression methods and tech support for your specific use-cases [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
 
 ## Setup
 
@@ -75,7 +78,7 @@ The configuration info are in `config.json`.
 
 ## License
 
-We follow the same license as the original model. Please check the license of the original model SG161222-RealVisXL_V1.0 before using this model.
+We follow the same license as the original model. Please check the license of the original model SG161222/RealVisXL_V1.0 before using this model.
 
 ## Want to compress other models?
 

model/optimized_model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d5a9d75728a6aeecee673fe5975139b206f603a5134d8bd1ea8afa2ac63a4792
-size 6943130968
+oid sha256:6636f75a021f2a9765174bc1f6a89c639b179b42e8bfcc02b08d6a5c6b9deaad
+size 6943131637