Update app.py

app.py

@@ -12,17 +12,19 @@ loaded_diffusion_model = from_pretrained_keras("shivi/dreambooth_diffusion_model
 dreambooth_model._diffusion_model = loaded_diffusion_model
 
 
-def generate_images(prompt: str, num_imgs_to_gen: int):
+def generate_images(prompt: str, num_imgs_to_gen: int, num_steps: int):
     """
     This function is used to generate images using our fine-tuned keras dreambooth stable diffusion model.
     Args:
         prompt (str): The text input given by the user based on which images will be generated.
         num_imgs_to_gen (int): The number of images to be generated using given prompt.
+        num_steps (int): The number of denoising steps
     Returns:
-        all_images (List): List of images that were generated using the model
+        generated_img (List): List of images that were generated using the model
     """
     generated_img = dreambooth_model.text_to_image(
-        prompt, batch_size=num_imgs_to_gen
+        prompt, batch_size=num_imgs_to_gen,
+        num_steps=num_steps,
     )
    
     return generated_img
@@ -36,17 +38,18 @@ with gr.Blocks() as demo:
         with gr.Column():
             prompt = gr.Textbox(label="prompt")
             samples = gr.Slider(label="No. of Images",value=1)
+            num_steps = gr.Slider(label="Inference Steps",value=50)
             run = gr.Button(value="Run")
         with gr.Column():
             gallery = gr.Gallery(show_label=False)
 
-    run.click(generate_images, inputs=[prompt,samples], outputs=gallery)
+    run.click(generate_images, inputs=[prompt,samples, num_steps], outputs=gallery)
     
-    gr.Examples([["A flower vase inspired by pink floyd division bell album cover", 1],
-                ["A pendant in the style of pink floyd division bell album cover",1],
-                ["A human skull inspired by pink floyd division bell album cover ",1],
-                ["picture of pink floyd division bell album cover with a starry night on Mars theme", 1]], 
-                [prompt,samples], gallery, generate_images, cache_examples=False)
+    gr.Examples([["A flower vase inspired by pink floyd division bell album cover", 1,50],
+                ["A pendant in the style of pink floyd division bell album cover",1, 50],
+                ["A human skull inspired by pink floyd division bell album cover ",1,50],
+                ["pink floyd division bell album cover with a starry night on Mars background", 1,50]], 
+                [prompt,samples,num_steps], gallery, generate_images, cache_examples=False)
     
     gr.Markdown("Some fun examples I created while playing with the model:")
     gr.Markdown("![Example 1](sample_outputs/1.png)")