import torch
import spaces
import gradio as gr
from diffusers import DiffusionPipeline
# Load the pipeline once at startup
print("Loading Z-Image-Turbo pipeline...")
pipe = DiffusionPipeline.from_pretrained(
"Tongyi-MAI/Z-Image-Turbo",
torch_dtype=torch.bfloat16,
low_cpu_mem_usage=False,
)
pipe.to("cuda")
# ======== AoTI compilation + FA3 ========
pipe.transformer.layers._repeated_blocks = ["ZImageTransformerBlock"]
spaces.aoti_blocks_load(pipe.transformer.layers, "zerogpu-aoti/Z-Image", variant="fa3")
print("Pipeline loaded!")
@spaces.GPU
def generate_image(prompt, height, width, num_inference_steps, seed, randomize_seed, progress=gr.Progress(track_tqdm=True)):
"""Generate an image from the given prompt."""
if randomize_seed:
seed = torch.randint(0, 2**32 - 1, (1,)).item()
generator = torch.Generator("cuda").manual_seed(int(seed))
image = pipe(
prompt=prompt,
height=int(height),
width=int(width),
num_inference_steps=int(num_inference_steps),
guidance_scale=0.0,
generator=generator,
).images[0]
return image, seed
# Example prompts
examples = [
["Young Chinese woman in red Hanfu, intricate embroidery. Impeccable makeup, red floral forehead pattern. Elaborate high bun, golden phoenix headdress, red flowers, beads. Holds round folding fan with lady, trees, bird. Neon lightning-bolt lamp, bright yellow glow, above extended left palm. Soft-lit outdoor night background, silhouetted tiered pagoda, blurred colorful distant lights."],
["A majestic dragon soaring through clouds at sunset, scales shimmering with iridescent colors, detailed fantasy art style"],
["Cozy coffee shop interior, warm lighting, rain on windows, plants on shelves, vintage aesthetic, photorealistic"],
["Astronaut riding a horse on Mars, cinematic lighting, sci-fi concept art, highly detailed"],
["Portrait of a wise old wizard with a long white beard, holding a glowing crystal staff, magical forest background"],
]
# Custom theme with modern aesthetics (Gradio 6)
custom_theme = gr.themes.Soft(
primary_hue="yellow",
secondary_hue="amber",
neutral_hue="slate",
font=gr.themes.GoogleFont("Inter"),
text_size="lg",
spacing_size="md",
radius_size="lg"
).set(
button_primary_background_fill="*primary_500",
button_primary_background_fill_hover="*primary_600",
block_title_text_weight="600",
)
# Build the Gradio interface
with gr.Blocks(fill_height=True) as demo:
# Header
gr.Markdown(
"""
# 🎨 Z-Image-Turbo
**Ultra-fast AI image generation** • Generate stunning images in just 8 steps
""",
elem_classes="header-text"
)
with gr.Row(equal_height=False):
# Left column - Input controls
with gr.Column(scale=1, min_width=320):
prompt = gr.Textbox(
label="✨ Your Prompt",
placeholder="Describe the image you want to create...",
lines=5,
max_lines=10,
autofocus=True,
)
with gr.Accordion("⚙️ Advanced Settings", open=False):
with gr.Row():
height = gr.Slider(
minimum=512,
maximum=2048,
value=1024,
step=64,
label="Height",
info="Image height in pixels"
)
width = gr.Slider(
minimum=512,
maximum=2048,
value=1024,
step=64,
label="Width",
info="Image width in pixels"
)
num_inference_steps = gr.Slider(
minimum=1,
maximum=20,
value=9,
step=1,
label="Inference Steps",
info="9 steps = 8 DiT forwards (recommended)"
)
with gr.Row():
randomize_seed = gr.Checkbox(
label="🎲 Random Seed",
value=True,
)
seed = gr.Number(
label="Seed",
value=42,
precision=0,
visible=False,
)
def toggle_seed(randomize):
return gr.Number(visible=not randomize)
randomize_seed.change(
toggle_seed,
inputs=[randomize_seed],
outputs=[seed]
)
generate_btn = gr.Button(
"🚀 Generate Image",
variant="primary",
size="lg",
scale=1
)
# Example prompts
gr.Examples(
examples=examples,
inputs=[prompt],
label="💡 Try these prompts",
examples_per_page=5,
)
# Right column - Output
with gr.Column(scale=1, min_width=320):
output_image = gr.Image(
label="Generated Image",
type="pil",
show_label=False,
height=600,
buttons=["download", "share"],
)
used_seed = gr.Number(
label="🎲 Seed Used",
interactive=False,
container=True,
)
# Footer credits
gr.Markdown(
"""
---
""",
elem_classes="footer-text"
)
# Connect the generate button
generate_btn.click(
fn=generate_image,
inputs=[prompt, height, width, num_inference_steps, seed, randomize_seed],
outputs=[output_image, used_seed],
)
# Also allow generating by pressing Enter in the prompt box
prompt.submit(
fn=generate_image,
inputs=[prompt, height, width, num_inference_steps, seed, randomize_seed],
outputs=[output_image, used_seed],
)
if __name__ == "__main__":
demo.launch(
theme=custom_theme,
css="""
.header-text h1 {
font-size: 2.5rem !important;
font-weight: 700 !important;
margin-bottom: 0.5rem !important;
background: linear-gradient(135deg, #fbbf24 0%, #f59e0b 100%);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
}
.header-text p {
font-size: 1.1rem !important;
color: #64748b !important;
margin-top: 0 !important;
}
.footer-text {
padding: 1rem 0;
}
.footer-text a {
color: #f59e0b !important;
text-decoration: none !important;
font-weight: 500;
}
.footer-text a:hover {
text-decoration: underline !important;
}
/* Mobile optimizations */
@media (max-width: 768px) {
.header-text h1 {
font-size: 1.8rem !important;
}
.header-text p {
font-size: 1rem !important;
}
}
/* Smooth transitions */
button, .gr-button {
transition: all 0.2s ease !important;
}
button:hover, .gr-button:hover {
transform: translateY(-1px);
box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15) !important;
}
/* Better spacing */
.gradio-container {
max-width: 1400px !important;
margin: 0 auto !important;
}
""",
footer_links=[
{"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder"},
"api",
"gradio"
]
)