File size: 7,980 Bytes
6742856 016b059 6742856 cb7718b 016b059 2531620 016b059 2531620 016b059 cb7718b 016b059 cb7718b 016b059 cb7718b 0a44f06 016b059 0a44f06 016b059 0a44f06 016b059 0a44f06 016b059 0a44f06 016b059 0a44f06 016b059 cb7718b 016b059 cb7718b 016b059 2d5d3be 016b059 cb7718b 7529d07 016b059 2531620 016b059 2531620 016b059 2531620 016b059 2531620 cb7718b 016b059 2531620 016b059 2531620 016b059 0da9692 016b059 0da9692 016b059 2531620 016b059 cb7718b 016b059 0da9692 202b398 016b059 0a44f06 016b059 cb7718b 016b059 0a44f06 016b059 2531620 0a44f06 016b059 202b398 016b059 2531620 016b059 202b398 016b059 0a44f06 016b059 cb7718b 016b059 202b398 dd5d6cc 6742856 016b059 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 |
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
)
|