Update app.py

app.py

@@ -1,7 +1,6 @@
 import gradio as gr
 import numpy as np
 import random
-from tqdm import tqdm
 
 # import spaces #[uncomment to use ZeroGPU]
 from diffusers import DiffusionPipeline
@@ -14,9 +13,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 
 available_models = [
     "stabilityai/sdxl-turbo",
-    "CompVis/stable-diffusion-v1-4",
-    "runwayml/stable-diffusion-v1-5",
-]
+    "stabilityai/sd-turbo"]
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
@@ -153,7 +150,7 @@ with gr.Blocks(css=css) as demo:
         
     loaded_models = {}
 
-    for model in tqdm(available_models):
+    for model in available_models:
         loaded_models[model] = init_model(model)
         
     gr.on(