Update README.md

README.md

@@ -19,7 +19,7 @@ This repository contains a model that generates highly aesthetic images of resol
 
 Playground v2.5 is the state-of-the-art open-source model in aesthetic quality. Our user studies demonstrate that our model outperforms SDXL, Playground v2, PIXART-α, DALL-E 3, and Midjourney 5.2.
 
-For details on the development and training of our model, please refer to our blog post [link] and technical report [link]
+For details on the development and training of our model, please refer to our blog post <span style="color: red;">[link]</span> and technical report <span style="color: red;">[link]</span>
 
 ### Model Description
 - **Developed by:** [Playground](https://playground.com)
@@ -28,14 +28,14 @@ For details on the development and training of our model, please refer to our bl
 - **Summary:** This model generates images based on text prompts. It is a Latent Diffusion Model that uses two fixed, pre-trained text encoders (OpenCLIP-ViT/G and CLIP-ViT/L). It follows the same architecture as [Stable Diffusion XL](https://huggingface.co/docs/diffusers/en/using-diffusers/sdxl).
 
 ### Using the model with 🧨 Diffusers
-TODO
+<span style="color: red;">TODO</span>
 
 ### Using the model with Automatic1111/ComfyUI
-TODO
+<span style="color: red;">TODO</span>
 
 ### User Studies
 
-This model card only provides a brief summary of our user study results. For extensive details on how we perform user studies, please check out our technical report: [link]
+This model card only provides a brief summary of our user study results. For extensive details on how we perform user studies, please check out our technical report: <span style="color: red;">[link]</span>
 
 We conducted studies to measure overall aesthetic quality, as well as for the specific areas we aimed to improve with Playground v2.5, namely multi aspect ratios and human preference alignment.
 
@@ -58,9 +58,9 @@ Lastly, we report metrics using our MJHQ-30K benchmark which we [open-sourced](h
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/636c0c4eaae2da3c76b8a9a3/7tyYDPGUtokh-k18XDSte.png)
 
 ### How to cite us
-```
-// TODO: Link to the technical report
 
+<span style="color: red;">TODO: Link to the technical report</span>
+```
 @misc{playground-v2.5,
       url={[https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic](https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic)},
       title={Playground v2.5: Three Insights for Achieving State of the Art in Text-to-Image Generation},