added examples

README.md

@@ -16,13 +16,17 @@ instance_prompt: disney style
 should probably proofread and complete it, then remove this comment. -->
 
 
-# DreamBooth - lavaman131/cartoonify
+# Cartoonify
 
-This is a dreambooth model derived from runwayml/stable-diffusion-v1-5 with fine-tuning of the text encoder. The weights were trained from a popular animation studio using [DreamBooth](https://dreambooth.github.io/). Use the tokens **_disney style_** in your prompts for the effect.
+This is a dreambooth model derived from `runwayml/stable-diffusion-v1-5` with additional fine-tuning of the text encoder. The weights were trained from a popular animation studio using [DreamBooth](https://dreambooth.github.io/). Use the tokens **_disney style_** in your prompts for the effect.
 
 You can find some example images below:
 
-![](./images/king.png)
+<img width=256 height=256 src="./images/king.png">
+<img width=256 height=256 src="./images/legend_of_zelda.png">
+<img width=256 height=256 src="./images/pony.png">
+<img width=256 height=256 src="./images/princess.png">
+<img width=256 height=256 src="./images/red_ferrari.png">
 
 
 ## Intended uses & limitations
@@ -45,4 +49,4 @@ As with any diffusion model, playing around with the prompt and classifier-free
 
 The model was fine-tuned for 3500 steps on around 200 images of modern Disney characters, backgrounds, and animals. The ratios for each were 70%, 20%, and 10% respectively on an RTX A5000 GPU (24GB VRAM).
 
-The training code used can be found [here](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/train_dreambooth.py). The regularization images used for training can be found [here](https://github.com/aitrepreneur/SD-Regularization-Images-Style-Dreambooth/tree/main/style_ddim).
+The training code used can be found [here](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/train_dreambooth.py). The regularization images used for training can be found [here](https://github.com/aitrepreneur/SD-Regularization-Images-Style-Dreambooth/tree/main/style_ddim).