examples

app.py

@@ -204,10 +204,10 @@ def predict_examples(
         remove_bg,
         cond_mode,
         seed,
-        "euler",
-        "normal",
+        "dpmpp_2m_sde_gpu",
+        "karras",
         30,
-        10.0,
+        5,
         1.0,
     )
 
@@ -259,18 +259,18 @@ with gr.Blocks(css=css) as blocks:
                 sampler_name = gr.Dropdown(
                     choices=samplers.KSampler.SAMPLERS,
                     label="Sampler Name",
-                    value="euler",
+                    value="dpmpp_2m_sde_gpu",
                 )
                 scheduler = gr.Dropdown(
                     choices=samplers.KSampler.SCHEDULERS,
                     label="Scheduler",
-                    value="normal",
+                    value="karras",
                 )
                 steps = gr.Slider(
                     label="Steps", value=20, minimum=1, maximum=50, step=1
                 )
                 cfg = gr.Number(
-                    label="CFG", value=10.0, minimum=0.0, maximum=100.0, step=0.1
+                    label="CFG", value=5.0, minimum=0.0, maximum=100.0, step=0.1
                 )
                 denoise = gr.Number(
                     label="Denoise", value=1.0, minimum=0.0, maximum=1.0, step=0.01

utils.py

@@ -150,7 +150,7 @@ examples = [
         "./examples/old_jump.png",
         False,
         "SDXL, Foreground",
-        123123,
+        5350795678007195000,
     ],
     [
         "a cute cat flying over Manhattan time square",