Update README.md

README.md

@@ -7,31 +7,33 @@ datasets: Qilex/private_guys
 metrics: []
 ---
 
-<!-- This model card has been generated automatically according to the information the training script had access to. You
-should probably proofread and complete it, then remove this comment. -->
 
 # VirtualPetDiffusion2
 
 ## Model description
 
 This diffusion model is trained with the [🤗 Diffusers](https://github.com/huggingface/diffusers) library 
-on the `Qilex/private_guys` dataset.
+on a dataset of roughly 8,000 virtual pet thumbnail images.
 
 ## Intended uses & limitations
 
+This model can be used to generate small (128x128) virtual pet-like thumbnails.
+The pets are generally somewhat abstract.
+
 #### How to use
 
 ```python
-# TODO: add an example code snippet for running this diffusion pipeline
+from diffusers import DiffusionPipeline
+pipeline = DiffusionPipeline.from_pretrained("Qilex/VirtualPetDiffusion2")
+image = pipeline()["sample"][0]
+#this line only works in jupyter
+display(image)
 ```
 
-#### Limitations and bias
-
-[TODO: provide examples of latent issues and potential remediations]
-
 ## Training data
 
-[TODO: describe the data used to train the model]
+This model was trained on roughly 8,000 virtual pet thumbnail images (80x80px).
+The data was randomly flipped, rotated, and perspected using torchvision transforms to prevent some of the issues from the first VirtualPetDiffusion.
 
 ### Training hyperparameters