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=65)
def infer(

    prompt,

    negative_prompt="",

    seed=42,

    randomize_seed=False,

    width=1024,

    height=1024,

    guidance_scale=4.5,

    num_inference_steps=40,

    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

# Enhanced examples with creative prompts
examples = [
    "A capybara wearing a suit holding a sign that reads Hello World",
    "A steampunk-style flying ship made of brass and wood, floating through cotton candy clouds",
    "A magical library where books are flying and glowing, with a wise owl librarian",
    "A cyberpunk street food vendor selling neon-colored dumplings in the rain",
    "A group of penguins having a formal tea party in the Antarctic",
    "A treehouse city at sunset with bioluminescent plants and floating lanterns"
]

# Custom CSS with modern styling
css = """

:root {

    --primary-color: #7B2CBF;

    --secondary-color: #9D4EDD;

    --background-color: #10002B;

    --text-color: #E0AAFF;

    --card-bg: #240046;

}



#col-container {

    max-width: 850px !important;

    margin: 0 auto;

    padding: 20px;

    background: var(--background-color);

    border-radius: 15px;

    box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);

}



.main-title {

    color: var(--text-color) !important;

    text-align: center;

    font-size: 2.5em !important;

    margin-bottom: 1em !important;

    text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3);

}



.gradio-container {

    background: var(--background-color) !important;

    color: var(--text-color) !important;

}



.gr-button {

    background: var(--primary-color) !important;

    border: none !important;

    color: white !important;

    transition: transform 0.2s !important;

}



.gr-button:hover {

    transform: translateY(-2px) !important;

    background: var(--secondary-color) !important;

}



.gr-input, .gr-box {

    background: var(--card-bg) !important;

    border: 1px solid var(--primary-color) !important;

    color: var(--text-color) !important;

}



.footer-custom a {

    color: var(--text-color);

    text-decoration: none;

    margin: 0 10px;

    transition: color 0.3s;

}



.footer-custom a:hover {

    color: var(--secondary-color);

    text-decoration: underline;

}

"""

# Footer HTML
footer = """

<div class="footer-custom" style="text-align: center; margin-top: 20px; color: #f8f8f2;">

    <a href="https://www.linkedin.com/in/pejman-ebrahimi-4a60151a7/" target="_blank">LinkedIn</a> |

    <a href="https://github.com/arad1367" target="_blank">GitHub</a> |

    <a href="https://arad1367.pythonanywhere.com/" target="_blank">Live demo of my PhD defense</a> |

    <a href="https://huggingface.co/stabilityai/stable-diffusion-3.5-large" target="_blank">stable-diffusion-3.5-large model</a> |

    <a href="https://huggingface.co/spaces/stabilityai/stable-diffusion-3.5-large-turbo" target="_blank">stable-diffusion-3.5-large-turbo</a> |

    <a href="https://stability.ai/license" target="_blank">Stability.ai licence</a>

    <br>

    <p style="margin-top: 10px;">Made with 💖 by Pejman Ebrahimi</p>

</div>

"""

with gr.Blocks(css=css) as demo:
    with gr.Column(elem_id="col-container"):
        gr.HTML(
            '<h1 class="main-title">Stable Diffusion 3.5 Large (8B)</h1>'
            '<div style="text-align: center; margin-bottom: 20px;">'
            '<a href="https://stability.ai" target="_blank" style="color: #E0AAFF;">Visit Stability.ai</a>'
            '</div>'
        )
        
        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")

        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,
                )

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

    gr.on(
        triggers=[run_button.click, prompt.submit],
        fn=infer,
        inputs=[
            prompt,
            negative_prompt,
            seed,
            randomize_seed,
            width,
            height,
            guidance_scale,
            num_inference_steps,
        ],
        outputs=[result, seed],
    )

if __name__ == "__main__":
    demo.launch()