app.py

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 full-body depiction of a futuristic cyberpunk warrior wearing neon armor with intricate details, holding a sleek glowing katana in a ready stance. The character stands confidently with glowing eyes and a dynamic pose that exudes strength and mystery. Isolated on a clean, transparent, or neutral background to emphasize the character's design and details, with subtle reflections and lighting to enhance the neon glow and textures.",
]

# 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
        gr.Markdown("**Prompt**", elem_classes="prompt-text")

        with gr.Row():
            prompt = gr.Text(
                label="Prompt",
                show_label=False,
                max_lines=1,
                placeholder="Enter your prompt",
                container=False,
            )

            run_button = gr.Button(
                "Generate",
                scale=0,
                variant="primary",
                elem_classes="generate-button"
            )

        result = gr.Image(label="Result", show_label=False)

        # Removed Advanced Settings block

        gr.Examples(
            examples=examples,
            inputs=[prompt],
            outputs=[result],
            fn=infer,
            cache_examples=True,
            cache_mode="lazy"
        )

    # Use click method for the button and submit for the text field
    run_button.click(
        fn=infer,
        inputs=[prompt],  # Only the prompt as input
        outputs=[result],  # Only result as output
    )
    prompt.submit(
        fn=infer,
        inputs=[prompt],  # Only the prompt as input
        outputs=[result],  # Only result as output
    )

if __name__ == "__main__":
    demo.launch(
        server_name="0.0.0.0",
        server_port=7860,
        share=True,
        show_api=False
    )