Update app.py

app.py

@@ -69,10 +69,10 @@ def generate_image(
     height=1024,
     scale=1.5,
     steps=30,
-    clip=3):
+    seed=-1):
 
-    
-    seed = random.randint(0, MAX_SEED)
+    if seed == -1:
+        seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
     
     prompt = str(translator.translate(prompt, 'English'))
@@ -86,7 +86,6 @@ def generate_image(
         height=height,
         guidance_scale=scale,
         num_inference_steps=steps,
-        clip_skip=clip,
         generator = generator,
     )
     return image.images[0]
@@ -110,7 +109,7 @@ examples = [
 
 with gr.Blocks(css=CSS, js=JS, theme="soft") as demo:
     gr.HTML("<h1><center>SD3M🦄</center></h1>")
-    gr.HTML("<p><center><a href='https://huggingface.co/stabilityai/stable-diffusion-3-medium'>sd3m</a> text-to-image generation</center><br><center>Multi-Languages. Adding default prompts to enhance.</center></p>")
+    gr.HTML("<p><center><a href='https://huggingface.co/stabilityai/stable-diffusion-3-medium'>sd3m</a> text-to-image generation</center><br><center>Multi-Languages. Seed -1 Get Random.</center></p>")
     with gr.Group():
         with gr.Row():
             prompt = gr.Textbox(label='Enter Your Prompt', value="best quality, HD, aesthetic", scale=6)
@@ -149,12 +148,12 @@ with gr.Blocks(css=CSS, js=JS, theme="soft") as demo:
                 step=1,
                 value=30,
             )
-            clip = gr.Slider(
-                label="Clip Skip",
-                minimum=1,
-                maximum=10,
+            seed = gr.Slider(
+                label="Seed",
+                minimum=-1,
+                maximum=10000000000000,
                 step=1,
-                value=3,
+                value=-1,
             )      
     gr.Examples(
         examples=examples,