Update app.py

app.py

@@ -2,29 +2,38 @@ from huggingface_hub import from_pretrained_keras
 from keras_cv import models
 import gradio as gr
 
-from tensorflow import keras
-
-keras.mixed_precision.set_global_policy("mixed_float16")
-
-# prepare model
-resolution = 512
 sd_dreambooth_model = models.StableDiffusion(
-    img_width=resolution, img_height=resolution
+    img_width=512, img_height=512
 )
 db_diffusion_model = from_pretrained_keras("merve/dreambooth_kedis")
 sd_dreambooth_model._diffusion_model = db_diffusion_model
 
 # generate images
-def infer(prompt):
+def infer(prompt, negative_prompt, num_imgs_to_gen, num_steps, guidance_scale):
     generated_images = sd_dreambooth_model.text_to_image(
-        prompt, batch_size=2
+        prompt,
+        negative_prompt=negative_prompt,
+        batch_size=num_imgs_to_gen,
+        num_steps=num_steps,
+        unconditional_guidance_scale=guidance_scale
     )
     return generated_images 
     
-output = gr.Gallery(label="Outputs").style(grid=(1,2))
+    
+# output = gr.Gallery(label="Outputs").style(grid=(2,2))
 
-# customize interface
-title = "Dreambooth Demo on Dog Images"
-description = "This is a dreambooth model fine-tuned on dog images. To try it, input the concept with {kedis cat}."
-examples=[["sks dog in space"]]
-gr.Interface(infer, inputs=["text"], outputs=[output], title=title, description=description, examples=examples).queue().launch()
+# pass function, input type for prompt, the output for multiple images
+gr.Interface(
+    infer, [
+        gr.Textbox(label="Positive Prompt", value="a kedis cat as a princess with tiara"),
+        gr.Textbox(label="Negative Prompt", value="bad anatomy, blurry"),
+        gr.Slider(label='Number of gen image', minimum=1, maximum=4, value=2, step=1),
+        gr.Slider(label="Inference Steps",value=50),
+        gr.Number(label='Guidance scale', value=7.5),
+    ], [
+        gr.Gallery(show_label=False),
+    ],
+    title="Dreambooth Kedis",
+    description = "This dreambooth model is fine-tuned on my cat, Kediş (meaning, kitten in Turkish). She's a tabby cat I adopted on a stormy day in the street. You can prompt using the special indicator {kedis cat}.",
+    examples = [["a pencil drawing of a kedis cat as an astronaut", "", 2, 50, 7.5]],
+    ).launch()