Update README.md

Update Model card

README.md

@@ -1,18 +1,32 @@
 ---
+language:
+  - en
+tags:
+  - stable-diffusion
+  - text-to-image
+  - keras-dreambooth
+  - wildcard
+license: creativeml-openrail-m
+inference: true
 library_name: keras
 ---
 
 ## Model description
 
-More information needed
+The Ignatius Farray dreambooth model would be a sleek and modern diffusion model designed to transport users into a world of absurdity and hilarity. 
+I cannot promise that all the images would be adorned with bright, eye-catching colors and images that reflect Ignatius' unique sense of style and humor.
+
+## Images generated by model
+
+![summary_image](./ignatius_summary.png)
 
 ## Intended uses & limitations
 
-More information needed
+You can use to create images based on Ignatius and put him in different situations. Try not to use for bad purpose and use the "commedia" on it.
 
 ## Training and evaluation data
 
-More information needed
+To train this model, this was the training [notebook](https://colab.research.google.com/github/huggingface/community-events/blob/main/keras-dreambooth-sprint/Dreambooth_on_Hub.ipynb) and the trainig dataset was this [one](https://huggingface.co/datasets/matallanas/ignatius)
 
 ## Training procedure
 
@@ -51,4 +65,29 @@ The following hyperparameters were used during training:
 
 ![Model Image](./model.png)
 
-</details>
+</details>
+
+## Usage
+
+The instance token used is "ignatius". A prompt example is as follows "a photo of ignatius on a car"
+
+```python
+from huggingface_hub import from_pretrained_keras
+import keras_cv
+
+sd_dreambooth_model = keras_cv.models.StableDiffusion(
+    img_width=resolution, img_height=resolution, jit_compile=True, 
+)
+loaded_diffusion_model = from_pretrained_keras("keras-dreambooth/ignatius")
+sd_dreambooth_model._diffusion_model = loaded_diffusion_model
+
+prompt = f"ignatius on the moon"
+
+#generated_img = sd_dreambooth_model.text_to_image(
+generated_img = dreambooth_model.text_to_image(
+    prompt,
+    batch_size=4,
+    num_steps=150,
+    unconditional_guidance_scale=15,
+)
+```