Update app.py

app.py

@@ -5,7 +5,6 @@ import numpy as np
 from PIL import Image
 from einops import rearrange
 import requests
-import spaces
 from diffusers.utils import load_image
 from diffusers import FluxControlNetPipeline, FluxControlNetModel
 from gradio_imageslider import ImageSlider
@@ -34,7 +33,6 @@ def preprocess_image(image, target_width, target_height):
     image = image.resize((target_width, target_height), Image.LANCZOS)
     return image
 
-@spaces.GPU(duration=120)
 def generate_image(prompt, control_image, control_mode, controlnet_conditioning_scale, num_steps, guidance, width, height, seed, random_seed):
     if random_seed:
         seed = np.random.randint(0, 10000)
@@ -70,7 +68,7 @@ interface = gr.Interface(
     inputs=[
         gr.Textbox(label="Prompt"),
         gr.Image(type="pil", label="Control Image"),
-        gr.Dropdown(choices=[f"{i}: {name}" for i, name in CONTROL_MODES.items()], type="index", label="Control Mode", default=0),
+        gr.Dropdown(choices=[f"{i}: {name}" for i, name in CONTROL_MODES.items()], type="index", label="Control Mode", value=0),
         gr.Slider(minimum=0.1, maximum=1.0, step=0.1, value=0.5, label="ControlNet Conditioning Scale"),
         gr.Slider(step=1, minimum=1, maximum=64, value=24, label="Num Steps"),
         gr.Slider(minimum=0.1, maximum=10, value=3.5, label="Guidance"),