Update README.md

README.md

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 license: apache-2.0
 datasets:
 - aoxo/photorealism-style-adapter-gta-v
+- aoxo/latent_diffusion_super_sampling
 language:
 - en
 metrics:
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 # Introducing RealFormer - A new approach to Photorealism over Supersampling
 
 Introducing RealFormer, a novel image-to-image transformer model designed for enhancing photorealism in images, particularly focused on transforming synthetic images to more realistic ones.
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+![thumbnail](thumbnail.jpg)
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 ## Model Details
 
+Detailed description of model, its architecture, training data and procedures.
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 ### Model Description
 
 RealFormer is an innovative Vision Transformer (ViT) based architecture that combines elements of Linear Attention (approximation attention) with Swin Transformers and adaptive instance normalization (AdaIN) for style transfer. It's designed to transform images,specifically targeted at the video game and animation industry, potentially enhancing their photorealism or applying style transfer.
 
 - **Developed by:** Alosh Denny
-- **Funded by [optional]:** EmelinLabs
-- **Shared by [optional]:** EmelinLabs
+- **Funded by:** EmelinLabs
+- **Shared by:** EmelinLabs
 - **Model type:** Image-to-Image Transformer
 - **Language(s) (NLP):** None (Pre-trained Generative Image Model)
 - **License:** Apache-2.0