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( """