Update app.py

app.py

@@ -50,7 +50,7 @@ pipe = diffusers.ZImagePipeline.from_pretrained("dimitribarbot/Z-Image-Turbo-BF1
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-pipe.enable_model_cpu_offload()
+#pipe.enable_model_cpu_offload()
 
 try: # A temp hack for some version diffusers lora loading problem
     from diffusers.utils.peft_utils import _derive_exclude_modules
@@ -207,7 +207,7 @@ with gr.Blocks(css=css) as app:
             with gr.Column():
                 with gr.Row():
                     cfg_scale = gr.Slider(label="CFG Scale", minimum=0, maximum=20, step=.1, value=1.0)
-                    steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=9)
+                    steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=10)
                 
                 with gr.Row():
                     width = gr.Slider(label="Width", minimum=256, maximum=1536, step=64, value=1024)
@@ -216,7 +216,7 @@ with gr.Blocks(css=css) as app:
                 with gr.Row():
                     randomize_seed = gr.Checkbox(True, label="Randomize seed")
                     seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
-                    lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=2.5, step=0.01, value=1.0)
+                    lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=2.5, step=0.01, value=0.8)
 
     gallery.select(
         update_selection,