Remove dtype from gradio sliders

app.py

@@ -349,18 +349,23 @@ with gr.Blocks(css=".gradio-container {max-width: 650px}") as advanced_tab:
   with gr.Row():
     prompt = gr.Textbox(label="image prompt...", elem_id="input-text")
   with gr.Row():
-    seed = gr.Slider(0, 99999999999999, label="seed", dtype=int, value=random_seed, interactive=True, step=1)
+    # seed = gr.Slider(0, 99999999999999, label="seed", dtype=int, value=random_seed, interactive=True, step=1)
+    seed = gr.Slider(0, 99999999999999, label="seed", value=random_seed, interactive=True, step=1)
     negative_prompt = gr.Textbox(label="negative prompt (optional)", elem_id="input-text")
   with gr.Row():
     with gr.Column():
-      guidance = gr.Slider(0, 10, label="guidance", dtype=float, value=default_guidance, step=0.1, interactive=True)
+      # guidance = gr.Slider(0, 10, label="guidance", dtype=float, value=default_guidance, step=0.1, interactive=True)
+      guidance = gr.Slider(0, 10, label="guidance", value=default_guidance, step=0.1, interactive=True)
     with gr.Column():
-      steps = gr.Slider(1, 100, label="inference steps", dtype=int, value=default_steps, step=1, interactive=True)
+      # steps = gr.Slider(1, 100, label="inference steps", dtype=int, value=default_steps, step=1, interactive=True)
+      steps = gr.Slider(1, 100, label="inference steps", value=default_steps, step=1, interactive=True)
   with gr.Row():
     with gr.Column():
-      width = gr.Slider(144, 4200, label="width", dtype=int, value=default_pixel, step=8, interactive=True)
+      # width = gr.Slider(144, 4200, label="width", dtype=int, value=default_pixel, step=8, interactive=True)
+      width = gr.Slider(144, 4200, label="width", value=default_pixel, step=8, interactive=True)
     with gr.Column():
-      height = gr.Slider(144, 4200, label="height", dtype=int, value=default_pixel, step=8, interactive=True)
+      # height = gr.Slider(144, 4200, label="height", dtype=int, value=default_pixel, step=8, interactive=True)
+      height = gr.Slider(144, 4200, label="height", value=default_pixel, step=8, interactive=True)
   gr.Markdown("<u>heads-up</u>: Height multiplied by width should not exceed about 645,000 or an error may occur. If an error occours refresh your browser tab or errors will continue. If you exceed this range the app will attempt to avoid an error by lowering your input height. We are actively seeking out ways to handle higher resolutions!")
   
   go_button = gr.Button("generate image", elem_id="go-button")
@@ -706,7 +711,8 @@ with gr.Blocks() as canny_blocks_interface:
         canny_negative_prompt = gr.inputs.Textbox()
       canny_input_low_threshold = gr.inputs.Slider(minimum=0, maximum=1000, step=1, label="Lower Threshold:", default=100)
       canny_input_high_threshold = gr.inputs.Slider(minimum=0, maximum=1000, step=1, label="Upper Threshold:", default=120)
-      canny_input_seed = gr.Slider(0, 99999999999999, label="seed", dtype=int, value=random_seed, interactive=True, step=1)
+      # canny_input_seed = gr.Slider(0, 99999999999999, label="seed", dtype=int, value=random_seed, interactive=True, step=1)
+      canny_input_seed = gr.Slider(0, 99999999999999, label="seed", value=random_seed, interactive=True, step=1)
       canny_input_invert = gr.inputs.Checkbox(label="invert edge tracing image")
       canny_input_rotate = gr.Dropdown([0, 90, 180, 270], label="rotate image (for smartphones)")
     with gr.Column():
@@ -931,7 +937,8 @@ with gr.Blocks() as depth_controlnet_gradio:
             with gr.Column():
               input_negative_prompt = gr.inputs.Textbox(label="negative prompt")
             with gr.Column():
-              input_seed = gr.Slider(0, 99999999999999, label="seed", dtype=int, value=random_seed, interactive=True, step=1)
+              # input_seed = gr.Slider(0, 99999999999999, label="seed", dtype=int, value=random_seed, interactive=True, step=1)
+              input_seed = gr.Slider(0, 99999999999999, label="seed", value=random_seed, interactive=True, step=1)
           with gr.Row():
             with gr.Column():
               input_rotate = gr.Dropdown([0, 90, 180, 270], label="rotate image (for smartphones)")