Initial commit

README.md

@@ -8,6 +8,8 @@ sdk_version: 3.23.0
 app_file: app.py
 pinned: false
 license: creativeml-openrail-m
+tags:
+- keras-dreambooth
+- sci-fi
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Demo space using the [dreambooth_hogwarts_legacy](https://huggingface.co/keras-dreambooth/dreambooth_hogwarts_legacy) model to draw a game character.

app.py

@@ -0,0 +1,51 @@
+from huggingface_hub import from_pretrained_keras
+from keras_cv import models
+import gradio as gr
+import tensorflow as tf
+
+tf.keras.mixed_precision.set_global_policy("mixed_float16")
+
+# load keras model
+resolution = 512
+dreambooth_model = models.StableDiffusion(
+        img_width=resolution, img_height=resolution, jit_compile=True, 
+    )
+loaded_diffusion_model = from_pretrained_keras("tgohblio/dreambooth_hogwarts_legacy")
+dreambooth_model._diffusion_model = loaded_diffusion_model
+
+
+# generate images
+def generate_images(prompt: str, negative_prompt: str, num_imgs_to_gen: int, inference_steps: int, guidance_scale: float):
+    output_images = dreambooth_model.text_to_image(
+        prompt,
+        negative_prompt=negative_prompt,
+        batch_size=num_imgs_to_gen,
+        num_steps=inference_steps,
+        unconditional_guidance_scale=guidance_scale,
+    )
+    return output_images
+    
+# Define the UI
+with gr.Blocks() as demo:
+    gr.HTML("<h2 style=\"font-size: 2rem; font-weight: 700; text-align: center;\">Keras Dreambooth - Hogwarts Legacy Demo</h2>")
+    gr.HTML("<h3 style=\"font-size: 2rem; font-weight: 700; text-align: left;\">This model has been fine-tuned to learn the concept of Hogwarts Legacy student characters. \
+        To use this demo, you should have append your prompt with string \'hogwarts [legacy] student\'</h3>")
+    with gr.Row():
+        with gr.Column():
+            prompt = gr.Textbox(label="Positive Prompt", value="a digital art of hogwarts [legacy] student in a forest")
+            negative_prompt = gr.Textbox(label="Negative Prompt", value="bad anatomy, soft blurry")
+            samples = gr.Slider(label="Number of Images", minimum=1, maximum=6, value=1, step=1)
+            inference_steps = gr.Slider(label="Inference Steps", minimum=1, maximum=100, value=50, step=1)
+            guidance_scale = gr.Slider(label="Guidance Scale", minimum=1, maximum=10, value=7.5, step=0.1)
+            run = gr.Button(value="Run")
+        with gr.Column():
+            gallery = gr.Gallery(label="Outputs").style(grid=(1,2))
+
+    run.click(fn=generate_images, inputs=[prompt, negative_prompt, samples, inference_steps, guidance_scale], outputs=gallery)
+    
+    gr.Examples([["realistic painting of a hogwarts [legacy] student riding a horse, high quality, 8k", "bad, ugly, malformed, deformed, out of frame, blurry, cropped, noisy", 4, 100, 7.5]],
+                [prompt, negative_prompt, samples, inference_steps, guidance_scale], gallery, generate_images, cache_examples=True)
+    gr.Markdown('Demo created by [Terrence Goh](https://huggingface.co/tgohblio/)')
+
+demo.queue(concurrency_count=3)
+demo.launch()

requirements.txt

@@ -0,0 +1,4 @@
+keras_cv 
+tensorflow==2.11.0
+huggingface-hub
+gradio