Update app.py

app.py

@@ -14,17 +14,17 @@ from share_btn import community_icon_html, loading_icon_html, share_js
 
 from huggingface_hub import from_pretrained_keras
 
-MODEL_CKPT = "chansung/textual-inversion-pipeline@v1673026791"
-MODEL = from_pretrained_keras(MODEL_CKPT)
+# MODEL_CKPT = "chansung/textual-inversion-pipeline@v1673026791"
+# MODEL = from_pretrained_keras(MODEL_CKPT)
 
-model = keras_cv.models.StableDiffusion(
-    img_width=img_width, img_height=img_height, jit_compile=True
-)
-model._text_encoder = MODEL
-model._text_encoder.compile(jit_compile=True)
+# model = keras_cv.models.StableDiffusion(
+#     img_width=img_width, img_height=img_height, jit_compile=True
+# )
+# model._text_encoder = MODEL
+# model._text_encoder.compile(jit_compile=True)
 
-# Warm-up the model.
-_ = model.text_to_image("Teddy bear", batch_size=num_images_to_gen)
+# # Warm-up the model.
+# _ = model.text_to_image("Teddy bear", batch_size=num_images_to_gen)
 
 def generate_image_fn(prompt: str, unconditional_guidance_scale: int) -> list:
     start_time = time.time()
@@ -57,6 +57,6 @@ gr.Interface(
     title="Generate custom images with finetuned embeddings of Stable Diffusion",
     description=description,
     article=article,
-    examples=[["cute Sundar Pichai creature", 8], ["Hello kitty", 8]],
+    # examples=[["cute Sundar Pichai creature", 8], ["Hello kitty", 8]],
     allow_flagging=False,
 ).launch(enable_queue=True)