Spaces:
Running
on
Zero
Running
on
Zero
File size: 9,917 Bytes
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import gradio as gr
import numpy as np
import random
import torch
from diffusers import DiffusionPipeline
import spaces
# ๊ธฐ๋ณธ ์ค์
dtype = torch.bfloat16
device = "cuda" if torch.cuda.is_available() else "cpu"
# ๋ชจ๋ธ ๋ก๋ (FLUX.1-schnell)
pipe = DiffusionPipeline.from_pretrained(
"black-forest-labs/FLUX.1-schnell",
torch_dtype=dtype
).to(device)
MAX_SEED = np.iinfo(np.int32).max
MAX_IMAGE_SIZE = 2048
@spaces.GPU()
def generate_image(prompt, seed, randomize_seed, width, height, steps, guidance_scale):
if randomize_seed:
seed = random.randint(0, MAX_SEED)
generator = torch.Generator(device).manual_seed(seed)
image = pipe(
prompt=prompt,
width=width,
height=height,
num_inference_steps=steps,
generator=generator,
guidance_scale=guidance_scale
).images[0]
return image, seed
# CSS ์คํ์ผ (์ข์ธก ์ฌ์ด๋๋ฐ ๋ฐ ์ ์ฒด ๋ ์ด์์ ์ฐธ๊ณ )
css = """
body {
background: linear-gradient(135deg, #667eea, #764ba2);
font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;
color: #333;
margin: 0;
padding: 0;
}
.gradio-container {
background: rgba(255, 255, 255, 0.95);
border-radius: 15px;
padding: 30px 40px;
box-shadow: 0 8px 30px rgba(0, 0, 0, 0.3);
margin: 40px auto;
max-width: 1200px;
}
.gradio-container h1 {
color: #333;
text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.2);
}
.sidebar {
background: rgba(255, 255, 255, 0.98);
border-radius: 10px;
padding: 20px;
box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
}
button, .btn {
background: linear-gradient(90deg, #ff8a00, #e52e71);
border: none;
color: #fff;
padding: 12px 24px;
text-transform: uppercase;
font-weight: bold;
letter-spacing: 1px;
border-radius: 5px;
cursor: pointer;
transition: transform 0.2s ease-in-out;
}
button:hover, .btn:hover {
transform: scale(1.05);
}
"""
# ์์ ํ๋กฌํํธ (๊ฐ ํญ๋ณ๋ก ๋ค์ํ ์์)
example_prompts = {
"Flowchart": [
"A hand-drawn style flowchart depicting a software release pipeline with clear nodes for development, testing, deployment, and maintenance.",
"An illustrated business process flowchart for a customer service workflow, with decision points and clear labels.",
"A creative flowchart showing the steps of a marketing campaign from ideation to execution."
],
"Infographic": [
"A visually appealing infographic displaying global sales data with vibrant colors, icons, and modern design elements.",
"An infographic illustrating startup growth metrics with graphs, charts, and minimalist design.",
"A data-driven infographic showcasing key performance indicators for a corporate strategy, with clear sections and illustrations."
],
"Mockup": [
"A sketch-style UX mockup for a mobile banking app login flow, featuring clean lines and minimalist design.",
"A wireframe mockup for an e-commerce website homepage, with user-friendly navigation and modern layout.",
"A prototype mockup for a productivity dashboard with a focus on intuitive user interface elements."
],
"Diagram": [
"An educational diagram of a supply chain process, with clear labels and vibrant, friendly illustrations.",
"A business diagram showing the flow of information between departments in an organization, with modern icons and a clean layout.",
"A conceptual diagram of a data pipeline, illustrating each step with simple, engaging visuals."
],
"Design": [
"A sleek industrial design concept for a modern office chair, featuring ergonomic curves and minimalist aesthetics.",
"A futuristic design for a high-tech smart conference room, blending modern materials with interactive displays.",
"A creative product design for a smart coffee machine with a metallic finish and touch interface."
]
}
# ๊ฐ๋จํ ์์ ํธ๋ค๋ฌ (์์ ๋ฒํผ ํด๋ฆญ ์ ํ๋กฌํํธ ์
๋ฐ์ดํธ)
def set_prompt(example_text):
return example_text
with gr.Blocks(css=css, title="๋น์ฆ๋์ค ์์ด์ ํธ ์ด๋ฏธ์ง ์์ฑ๊ธฐ") as demo:
gr.Markdown(
"""
<div style="text-align:center;">
<h1>๋น์ฆ๋์ค ์์ด์ ํธ ์ด๋ฏธ์ง ์์ฑ๊ธฐ</h1>
<p>๋น์ฆ๋์ค์ ํ์ํ ๋ค์ํ ์์๋ฅผ ํญ๋ณ๋ก ๊ตฌ๋ถํ์ฌ ํ๋ก์ธ์ค๋ณ ์์ฌ๊ฒฐ์ ๋ฐ ๋์์ธ์ ์์ฑํฉ๋๋ค.</p>
<p><strong>Gini's AI Spaces:</strong> Flowchart, Infographic, Mockup, Diagram, Design</p>
</div>
"""
)
with gr.Row():
# ๋ฉ์ธ ์์ญ: ํญ๋ณ๋ก ๋ถ๋ฆฌ๋ ์์ฑ ์ธํฐํ์ด์ค
with gr.Column(scale=8):
with gr.Tabs():
## Flowchart ํญ
with gr.Tab("Flowchart"):
flow_prompt = gr.Textbox(label="Flowchart Prompt", placeholder="Enter a flowchart description...", lines=5)
flow_generate = gr.Button("Generate Flowchart")
flow_image = gr.Image(label="Generated Flowchart")
with gr.Accordion("Example Prompts", open=False):
for ex in example_prompts["Flowchart"]:
gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=flow_prompt)
## Infographic ํญ
with gr.Tab("Infographic"):
info_prompt = gr.Textbox(label="Infographic Prompt", placeholder="Enter an infographic description...", lines=5)
info_generate = gr.Button("Generate Infographic")
info_image = gr.Image(label="Generated Infographic")
with gr.Accordion("Example Prompts", open=False):
for ex in example_prompts["Infographic"]:
gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=info_prompt)
## Mockup ํญ
with gr.Tab("Mockup"):
mock_prompt = gr.Textbox(label="Mockup Prompt", placeholder="Enter a mockup description...", lines=5)
mock_generate = gr.Button("Generate Mockup")
mock_image = gr.Image(label="Generated Mockup")
with gr.Accordion("Example Prompts", open=False):
for ex in example_prompts["Mockup"]:
gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=mock_prompt)
## Diagram ํญ
with gr.Tab("Diagram"):
diag_prompt = gr.Textbox(label="Diagram Prompt", placeholder="Enter a diagram description...", lines=5)
diag_generate = gr.Button("Generate Diagram")
diag_image = gr.Image(label="Generated Diagram")
with gr.Accordion("Example Prompts", open=False):
for ex in example_prompts["Diagram"]:
gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=diag_prompt)
## Design ํญ
with gr.Tab("Design"):
des_prompt = gr.Textbox(label="Design Prompt", placeholder="Enter a design concept...", lines=5)
des_generate = gr.Button("Generate Design")
des_image = gr.Image(label="Generated Design")
with gr.Accordion("Example Prompts", open=False):
for ex in example_prompts["Design"]:
gr.Button(ex, variant="secondary").click(fn=lambda ex=ex: set_prompt(ex), outputs=des_prompt)
# ์ข์ธก ์ฌ์ด๋๋ฐ: ๊ณตํต ์์ฑ ํ๋ผ๋ฏธํฐ
with gr.Sidebar(label="Parameters", open=True):
gr.Markdown("### Generation Parameters")
seed_slider = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=42)
randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
width_slider = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
height_slider = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
steps_slider = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=20)
guidance_slider = gr.Slider(label="Guidance Scale", minimum=0.0, maximum=15.0, step=0.5, value=7.5)
# ๊ฐ ํญ๋ณ ์์ฑ ๋ฒํผ์ ์ด๋ฒคํธ ์ฐ๊ฒฐ
flow_generate.click(
fn=generate_image,
inputs=[flow_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
outputs=[flow_image, seed_slider]
)
info_generate.click(
fn=generate_image,
inputs=[info_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
outputs=[info_image, seed_slider]
)
mock_generate.click(
fn=generate_image,
inputs=[mock_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
outputs=[mock_image, seed_slider]
)
diag_generate.click(
fn=generate_image,
inputs=[diag_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
outputs=[diag_image, seed_slider]
)
des_generate.click(
fn=generate_image,
inputs=[des_prompt, seed_slider, randomize_seed, width_slider, height_slider, steps_slider, guidance_slider],
outputs=[des_image, seed_slider]
)
if __name__ == "__main__":
demo.queue()
demo.launch(
server_name="0.0.0.0",
server_port=7860,
share=False,
show_error=True,
debug=True
)
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