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app.py

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+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()

requirements.txt

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+accelerate
+diffusers
+torch
+transformers
+git+https://github.com/huggingface/diffusers.git
+sentencepiece