update app

app.py

@@ -52,9 +52,11 @@ base_14 = "https://huggingface.co/nielsgl/dreambooth-bored-ape/resolve/main/"
 model_card_1 = f"""
 # KerasCV Stable Diffusion in Diffusers 🧨🤗
 
-DreamBooth model for the `drawbayc ape` concept trained by nielsgl on the `nielsgl/bayc-tiny` dataset, images from this [Kaggle dataset](https://www.kaggle.com/datasets/stanleyjzheng/bored-apes-yacht-club).
+DreamBooth model for the `drawbayc ape` concept trained by nielsgl on the [bayc-tiny](https://huggingface.co/datasets/nielsgl/bayc-tiny) dataset, images from this [Kaggle dataset](https://www.kaggle.com/datasets/stanleyjzheng/bored-apes-yacht-club).
 It can be used by modifying the `instance_prompt`: **a drawing of drawbayc ape**
 
+The model for this space can be found [here](https://huggingface.co/nielsgl/dreambooth-bored-ape).
+
 ## Description
 
 The Stable Diffusion V2 pipeline contained in the corresponding repository (`nielsgl/dreambooth-bored-ape`) was created using a modified version of [this Space](https://huggingface.co/spaces/sayakpaul/convert-kerascv-sd-diffusers) for StableDiffusionV2 from KerasCV. The purpose is to convert the KerasCV Stable Diffusion weights in a way that is compatible with [Diffusers](https://github.com/huggingface/diffusers). This allows users to fine-tune using KerasCV and use the fine-tuned weights in Diffusers taking advantage of its nifty features (like [schedulers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/schedulers), [fast attention](https://huggingface.co/docs/diffusers/optimization/fp16), etc.).
@@ -67,9 +69,6 @@ This model was created as part of the Keras DreamBooth Sprint 🔥. Visit the [o
 model_card_2 = f"""
 ## Examples
 
-### Stable Diffusion V2.1
-
-## Examples
 
 > A drawing of drawbayc monkey dressed as an astronaut