Upload folder using huggingface_hub (#2)

- 6ee6b664fc631d1f02b11c1dccda671d5795e3dd176d2f92a7bae0673703a68a (019353a99382883dfc01a635366fb98b3b579210)
- ec0e5055c6185714d328347eccd567f9147c18005aaced39ca06c3ab07f51dc8 (b6c3fc09cf6c9116fbfdedab161e1388fae98c03)

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 Linaqruf-animagine-xl before using this model.
+We follow the same license as the original model. Please check the license of the original model Linaqruf/animagine-xl 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 sha256:3e148ff090028499f0eff2abdcb78c2498db2ab6063a4374505663daa2ad52e7
-size 6943131215
+oid sha256:50a1ae780700e346f990449990899b175cdedec6a033d78f2b93231aac13f82c
+size 6943131349