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import gradio as gr
import numpy as np
import random
import torch
from diffusers import DiffusionPipeline
import spaces
# 기본 설정
dtype = torch.bfloat16
device = "cuda" if torch.cuda.is_available() else "cpu"
# 모델 로드
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
# 교육용 다이어그램 예시
EXAMPLES = [
{
"title": "Water Cycle",
"prompt": """A colorful hand-drawn diagram illustrating the water cycle:
- Evaporation (arrows from ocean)
- Condensation (clouds forming)
- Precipitation (rain from clouds)
- Collection (rivers, lakes)
- Include simple icons: sun, cloud, raindrops
- Vibrant educational style""",
"width": 1024,
"height": 1024
},
{
"title": "Photosynthesis",
"prompt": """An educational diagram of photosynthesis in plants:
- Show sunlight, leaves, chloroplast
- Indicate CO2 intake, O2 release, glucose production
- Simple labeling of main components
- Light green, yellow color scheme
- Hand-drawn arrows connecting steps""",
"width": 1024,
"height": 1024
},
{
"title": "Earth's Interior",
"prompt": """A cross-sectional diagram of Earth's interior:
- Layers: Crust, Mantle, Outer Core, Inner Core
- Color-coded layers with labels
- Show temperature gradient or simplified representation
- Hand-drawn style with bold outlines
""",
"width": 1024,
"height": 1024
},
{
"title": "Simple Chemistry Reaction",
"prompt": """A hand-drawn style diagram showing a basic chemistry reaction:
- Example: Hydrogen + Oxygen -> Water
- Show molecules (H2, O2) combining into H2O
- Arrows indicating reaction progress
- Educational, minimal color palette
- Bubble or beaker icons for lab context""",
"width": 1024,
"height": 1024
},
{
"title": "Human Digestive System",
"prompt": """A labeled human digestive system diagram:
- Esophagus, Stomach, Intestines, etc.
- Illustrate main organs and flow of food
- Hand-drawn lines with clear labels
- Soft pastel colors for friendly educational look""",
"width": 1024,
"height": 1024
}
]
# Convert examples to Gradio format (if needed)
GRADIO_EXAMPLES = [
[example["prompt"], example["width"], example["height"]]
for example in EXAMPLES
]
@spaces.GPU()
def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, 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,
width=width,
height=height,
num_inference_steps=num_inference_steps,
generator=generator,
guidance_scale=0.0
).images[0]
return image, seed
# CSS 스타일 (기존 구조 유지)
css = """
.container {
display: flex;
flex-direction: row;
height: 100%;
}
.input-column {
flex: 1;
padding: 20px;
border-right: 2px solid #eee;
max-width: 800px;
}
.examples-column {
flex: 1;
padding: 20px;
overflow-y: auto;
background: #f7f7f7;
}
.title {
text-align: center;
color: #2a2a2a;
padding: 20px;
font-size: 2.5em;
font-weight: bold;
background: linear-gradient(90deg, #f0f0f0 0%, #ffffff 100%);
border-bottom: 3px solid #ddd;
margin-bottom: 30px;
}
.subtitle {
text-align: center;
color: #666;
margin-bottom: 30px;
}
.input-box {
background: white;
padding: 20px;
border-radius: 10px;
box-shadow: 0 2px 10px rgba(0,0,0,0.1);
margin-bottom: 20px;
width: 100%;
}
.input-box textarea {
width: 100% !important;
min-width: 600px !important;
font-size: 14px !important;
line-height: 1.5 !important;
padding: 12px !important;
}
.example-card {
background: white;
padding: 15px;
margin: 10px 0;
border-radius: 8px;
box-shadow: 0 2px 5px rgba(0,0,0,0.05);
}
.example-title {
font-weight: bold;
color: #2a2a2a;
margin-bottom: 10px;
}
.contain {
max-width: 1400px !important;
margin: 0 auto !important;
}
.input-area {
flex: 2 !important;
}
.examples-area {
flex: 1 !important;
}
"""
with gr.Blocks(css=css) as demo:
gr.Markdown(
"""
<div class="title">GINI Diagram</div>
<div class="subtitle">Generate fun and visually appealing educational diagrams with FLUX AI</div>
""")
with gr.Row(equal_height=True):
# 왼쪽 입력 컬럼
with gr.Column(elem_id="input-column", scale=2):
with gr.Group(elem_classes="input-box"):
prompt = gr.Text(
label="Diagram Prompt",
placeholder="Enter your educational diagram details...",
lines=10,
elem_classes="prompt-input"
)
run_button = gr.Button("Generate Diagram", variant="primary")
result = gr.Image(label="Generated Diagram")
with gr.Accordion("Advanced Settings", open=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=256,
maximum=MAX_IMAGE_SIZE,
step=32,
value=1024,
)
height = gr.Slider(
label="Height",
minimum=256,
maximum=MAX_IMAGE_SIZE,
step=32,
value=1024,
)
num_inference_steps = gr.Slider(
label="Number of inference steps",
minimum=1,
maximum=50,
step=1,
value=4,
)
# 오른쪽 예제 컬럼
with gr.Column(elem_id="examples-column", scale=1):
gr.Markdown("### Example Educational Diagrams")
for example in EXAMPLES:
with gr.Group(elem_classes="example-card"):
gr.Markdown(f"#### {example['title']}")
gr.Markdown(f"```\n{example['prompt']}\n```")
def create_example_handler(ex):
def handler():
return {
prompt: ex["prompt"],
width: ex["width"],
height: ex["height"]
}
return handler
gr.Button("Use This Example", size="sm").click(
fn=create_example_handler(example),
outputs=[prompt, width, height]
)
# 이벤트 바인딩 (버튼 클릭 & 텍스트박스 엔터)
gr.on(
triggers=[run_button.click, prompt.submit],
fn=infer,
inputs=[prompt, seed, randomize_seed, width, height, num_inference_steps],
outputs=[result, seed]
)
if __name__ == "__main__":
demo.queue()
demo.launch(
server_name="0.0.0.0",
server_port=7860,
share=False,
show_error=True,
debug=True
)