update stable diffusion link

app.py

@@ -56,9 +56,9 @@ with demo:
     gr.Markdown("# PEZ Dispenser")
     gr.Markdown("## Hard Prompts Made Easy (PEZ)")
     gr.Markdown("*Want to generate a text prompt for your image that is useful for Stable Diffusion?*")
-    gr.Markdown("This space can either generate a text fragment that describes your image, or it can shorten an existing text prompt. This space is using OpenCLIP-ViT/H, the same text encoder used by Stable Diffusion V2. After you generate a prompt, try it out on Stable Diffusion [here](https://huggingface.co/stabilityai/stable-diffusion-2-1-base). For a quick PEZ demo, try clicking on one of the examples at the bottom of this page.")
+    gr.Markdown("This space can either generate a text fragment that describes your image, or it can shorten an existing text prompt. This space is using OpenCLIP-ViT/H, the same text encoder used by Stable Diffusion V2. After you generate a prompt, try it out on Stable Diffusion [here](https://huggingface.co/stabilityai/stable-diffusion-2-1-base) or [here](https://huggingface.co/spaces/stabilityai/stable-diffusion). For a quick PEZ demo, try clicking on one of the examples at the bottom of this page.")
     gr.Markdown("For additional details, you can check out the [paper](https://arxiv.org/abs/2302.03668) and the code on [Github](https://github.com/YuxinWenRick/hard-prompts-made-easy).")
-    gr.Markdown("Note: Generation with 1000 steps takes ~60 seconds with a T4. Don't want to wait? You can also run on [Google Colab](https://colab.research.google.com/drive/1VSFps4siwASXDwhK_o29dKA9COvTnG8A?usp=sharing) Or, you can reduce the number of steps.")
+    gr.Markdown("Note: Generation with 1000 steps takes ~60 seconds with a T4. Don't want to wait? You can also run on [Google Colab](https://colab.research.google.com/drive/1VSFps4siwASXDwhK_o29dKA9COvTnG8A?usp=sharing). Or, you can reduce the number of steps.")
 
     with gr.Row():
         with gr.Column():