Update app.py

app.py

@@ -1,121 +1,3 @@
-import gradio as gr
-import numpy as np
-import random
-import spaces
-from diffusers import DiffusionPipeline
-import torch
-
-device = "cuda" if torch.cuda.is_available() else "cpu"
-model_repo_id = "stabilityai/stable-diffusion-3.5-large"
-
-if torch.cuda.is_available():
-    torch_dtype = torch.bfloat16
-else:
-    torch_dtype = torch.float32
-
-pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
-pipe = pipe.to(device)
-
-MAX_SEED = np.iinfo(np.int32).max
-MAX_IMAGE_SIZE = 1024
-
-@spaces.GPU(duration=45)
-def infer(
-    prompt,
-    negative_prompt="",
-    seed=42,
-    randomize_seed=False,
-    width=768,
-    height=768,
-    guidance_scale=4.5,
-    num_inference_steps=20,
-    progress=gr.Progress(track_tqdm=True),
-):
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-
-    generator = torch.Generator().manual_seed(seed)
-
-    image = pipe(
-        prompt=prompt,
-        negative_prompt=negative_prompt,
-        guidance_scale=guidance_scale,
-        num_inference_steps=num_inference_steps,
-        width=width,
-        height=height,
-        generator=generator,
-    ).images[0]
-
-    return image, seed
-
-examples = [
-    "A border collie lying in some Fall leaves as the forest trees change colors",
-]
-
-# Define the custom theme with input styles
-class CustomTheme(gr.themes.Base):
-    def __init__(self):
-        super().__init__()
-        self.primary_hue = "#5271FF"
-        self.background_fill_primary = "#17181B"
-        self.background_fill_secondary = "#17181B"
-        self.background_fill_tertiary = "#17181B"
-        self.text_color_primary = "#AEB3B8"
-        self.text_color_secondary = "#AEB3B8"
-        self.text_color_tertiary = "#AEB3B8"
-        self.input_background_fill = "#17181B"  # Set input background color
-        self.input_text_color = "#AEB3B8"       # Set input text color
-
-# Custom CSS to hide the footer, set fonts, and adjust font weights
-css = """
-/* Hide the footer */
-footer {
-    visibility: hidden;
-    height: 0;
-    margin: 0;
-    padding: 0;
-    overflow: hidden;
-}
-
-/* Import Google Fonts */
-@import url('https://fonts.googleapis.com/css2?family=Roboto:wght@400;700&family=Montserrat:wght@500;700&display=swap');
-
-/* Apply fonts to different elements */
-body, input, button, textarea, select, .gr-button {
-    font-family: 'Roboto', sans-serif;
-}
-
-/* Make button text normal weight */
-.generate-button, .generate-button .gr-button {
-    font-weight: normal !important;
-}
-
-/* Ensure headings use Montserrat */
-h1, h2, h3, h4, h5, h6 {
-    font-family: 'Montserrat', sans-serif;
-    font-weight: 700;
-}
-
-/* Additional styling for sliders and checkboxes if needed */
-input[type="range"]::-webkit-slider-thumb {
-    background: #5271FF;
-}
-input[type="range"]::-moz-range-thumb {
-    background: #5271FF;
-}
-input[type="range"]::-ms-thumb {
-    background: #5271FF;
-}
-input[type="checkbox"]:checked {
-    background-color: #5271FF;
-}
-
-/* Make Prompt text bold */
-.prompt-text {
-    font-weight: bold;
-}
-"""
-
 with gr.Blocks(theme=CustomTheme(), css=css) as demo:
     with gr.Column(elem_id="col-container"):
         # Make "Prompt" bold using Markdown syntax and assign a class
@@ -139,62 +21,12 @@ with gr.Blocks(theme=CustomTheme(), css=css) as demo:
 
         result = gr.Image(label="Result", show_label=False)
 
-        with gr.Accordion("Advanced Settings", open=False):
-            negative_prompt = gr.Text(
-                label="Negative Prompt",
-                max_lines=1,
-                placeholder="Enter a negative prompt",
-                visible=False,
-            )
-
-            seed = gr.Slider(
-                label="Seed",
-                minimum=0,
-                maximum=MAX_SEED,
-                step=1,
-                value=0,
-            )
-
-            randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
-
-            with gr.Row():
-                width = gr.Slider(
-                    label="Width",
-                    minimum=512,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=1024, 
-                )
-
-                height = gr.Slider(
-                    label="Height",
-                    minimum=512,
-                    maximum=MAX_IMAGE_SIZE,
-                    step=32,
-                    value=1024,
-                )
-
-            with gr.Row():
-                guidance_scale = gr.Slider(
-                    label="Guidance Scale",
-                    minimum=0.0,
-                    maximum=7.5,
-                    step=0.1,
-                    value=4.5,
-                )
-
-                num_inference_steps = gr.Slider(
-                    label="Number of Inference Steps",
-                    minimum=1,
-                    maximum=50,
-                    step=1,
-                    value=40, 
-                )
+        # Removed Advanced Settings block
 
         gr.Examples(
             examples=examples,
             inputs=[prompt],
-            outputs=[result, seed],
+            outputs=[result],
             fn=infer,
             cache_examples=True,
             cache_mode="lazy"
@@ -203,31 +35,13 @@ with gr.Blocks(theme=CustomTheme(), css=css) as demo:
     # Use click method for the button and submit for the text field
     run_button.click(
         fn=infer,
-        inputs=[
-            prompt,
-            negative_prompt,
-            seed,
-            randomize_seed,
-            width,
-            height,
-            guidance_scale,
-            num_inference_steps,
-        ],
-        outputs=[result, seed],
+        inputs=[prompt],  # Only the prompt as input
+        outputs=[result],  # Only result as output
     )
     prompt.submit(
         fn=infer,
-        inputs=[
-            prompt,
-            negative_prompt,
-            seed,
-            randomize_seed,
-            width,
-            height,
-            guidance_scale,
-            num_inference_steps,
-        ],
-        outputs=[result, seed],
+        inputs=[prompt],  # Only the prompt as input
+        outputs=[result],  # Only result as output
     )
 
 if __name__ == "__main__":