Update README.md

Training information added.

README.md

@@ -1,5 +1,12 @@
 ---
 library_name: diffusers
+base_model:
+- CompVis/stable-diffusion-v1-4
+pipeline_tag: text-to-image
+tags:
+- cat
+- text-to-image
+- art
 ---
 
 # Model Card for Model ID
@@ -73,7 +80,24 @@ Use the code below to get started with the model.
 [More Information Needed]
 
 ## Training Details
-
+!accelerate launch diffusers/examples/dreambooth/train_dreambooth.py \
+--pretrained_model_name_or_path="CompVis/stable-diffusion-v1-4" \
+--instance_data_dir="/content/Dataset" \
+--output_dir="/content/canelo-cat-finetunedv1" \
+--instance_prompt="a photo of a sks cat" \
+--resolution=512 \
+--train_batch_size=1 \
+--gradient_accumulation_steps=4 \
+--learning_rate=2e-6 \
+--lr_scheduler="constant" \
+--mixed_precision="fp16" \
+--use_8bit_adam \
+--gradient_checkpointing \
+--max_train_steps=150 \
+--checkpointing_steps=50 \
+--seed=42 \
+--validation_prompt="a photo of a sks cat in a park" \
+--validation_steps=50
 ### Training Data
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->