set seed

app.py

@@ -65,7 +65,7 @@ rmbg_model = BriaRMBG.from_pretrained("briaai/RMBG-1.4").to(device)
 def predict(
     prompt: str,
     negative_prompt: str,
-    input_image: Image.Image | None,
+    input_image: Image.Image,
     remove_bg: bool,
     cond_mode: str,
     seed: int,
@@ -192,19 +192,22 @@ def flatten(l: List[List[any]]) -> List[any]:
 
 
 def predict_examples(
-    prompt, negative_prompt, input_image=None, remove_bg=False, cond_mode=None
+    prompt, negative_prompt, input_image=None, remove_bg=False, cond_mode=None, seed=-1
 ):
+    print(
+        "RUUNING EXAMPLES", prompt, negative_prompt, input_image, remove_bg, cond_mode
+    )
     return predict(
         prompt,
         negative_prompt,
         input_image,
         remove_bg,
         cond_mode,
-        0,
+        seed,
         "euler",
         "normal",
-        20,
-        8.0,
+        30,
+        10.0,
         1.0,
     )
 
@@ -256,18 +259,18 @@ with gr.Blocks(css=css) as blocks:
                 sampler_name = gr.Dropdown(
                     choices=samplers.KSampler.SAMPLERS,
                     label="Sampler Name",
-                    value="dpmpp_2m_sde",
+                    value="euler",
                 )
                 scheduler = gr.Dropdown(
                     choices=samplers.KSampler.SCHEDULERS,
                     label="Scheduler",
-                    value="karras",
+                    value="normal",
                 )
                 steps = gr.Slider(
                     label="Steps", value=20, minimum=1, maximum=50, step=1
                 )
                 cfg = gr.Number(
-                    label="CFG", value=5.0, minimum=0.0, maximum=100.0, step=0.1
+                    label="CFG", value=10.0, 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
@@ -294,9 +297,9 @@ with gr.Blocks(css=css) as blocks:
     gr.Examples(
         fn=predict_examples,
         examples=examples,
-        inputs=[prompt, negative_prompt, input_image, remove_bg, cond_mode],
+        inputs=[prompt, negative_prompt, input_image, remove_bg, cond_mode, seed],
         outputs=outputs,
-        cache_examples=False,
+        cache_examples=True,
     )
 
     button.click(fn=predict, inputs=inputs, outputs=outputs)

utils.py

@@ -118,6 +118,7 @@ examples = [
         None,
         False,
         None,
+        1231231,
     ],
     [
         "A beautiful toucan bird flying in the sky",
@@ -125,19 +126,38 @@ examples = [
         "./examples/bg.png",
         False,
         "SDXL, Background",
+        123123,
     ],
     [
-        "A men watching a concert",
+        "graphic design label of a wine bottle detail, high quality",
         "ugly distorted image, low quality, text, bad, not good ,watermark",
         "./examples/lecun.png",
         True,
         "SDXL, Foreground",
+        123123,
     ],
     [
-        "A men watching a concert",
+        "An image of a galaxy",
         "ugly distorted image, low quality, text, bad, not good ,watermark",
         "./examples/julien.png",
         True,
         "SDXL, Foreground",
+        123123,
+    ],
+    [
+        "a men jumping on swiming pool full of people",
+        "ugly distorted image, low quality, text, bad, not good ,watermark",
+        "./examples/old_jump.png",
+        False,
+        "SDXL, Foreground",
+        123123,
+    ],
+    [
+        "a cute cat flying over Manhattan time square",
+        "ugly distorted image, low quality, text, bad, not good ,watermark",
+        "./examples/cat.png",
+        True,
+        "SDXL, Foreground",
+        123123,
     ],
 ]