| | import os |
| | import uuid |
| | import numpy as np |
| | import random |
| | import tempfile |
| | import spaces |
| | import zipfile |
| | from PIL import Image |
| | from diffusers import QwenImageLayeredPipeline |
| | import torch |
| | from pptx import Presentation |
| | import gradio as gr |
| |
|
| |
|
| | LOG_DIR = "/tmp/local" |
| | MAX_SEED = np.iinfo(np.int32).max |
| |
|
| | from huggingface_hub import login |
| | login(token=os.environ.get('hf')) |
| |
|
| | dtype = torch.bfloat16 |
| | device = "cuda" if torch.cuda.is_available() else "cpu" |
| | pipeline = QwenImageLayeredPipeline.from_pretrained("Qwen/Qwen-Image-Layered", torch_dtype=dtype).to(device) |
| |
|
| | def ensure_dirname(path: str): |
| | if path and not os.path.exists(path): |
| | os.makedirs(path, exist_ok=True) |
| |
|
| | def random_str(length=8): |
| | return uuid.uuid4().hex[:length] |
| |
|
| | def imagelist_to_pptx(img_files): |
| | with Image.open(img_files[0]) as img: |
| | img_width_px, img_height_px = img.size |
| |
|
| | def px_to_emu(px, dpi=96): |
| | inch = px / dpi |
| | emu = inch * 914400 |
| | return int(emu) |
| |
|
| | prs = Presentation() |
| | prs.slide_width = px_to_emu(img_width_px) |
| | prs.slide_height = px_to_emu(img_height_px) |
| |
|
| | slide = prs.slides.add_slide(prs.slide_layouts[6]) |
| |
|
| | left = top = 0 |
| | for img_path in img_files: |
| | slide.shapes.add_picture(img_path, left, top, width=px_to_emu(img_width_px), height=px_to_emu(img_height_px)) |
| |
|
| | with tempfile.NamedTemporaryFile(suffix=".pptx", delete=False) as tmp: |
| | prs.save(tmp.name) |
| | return tmp.name |
| |
|
| | def export_gallery(images): |
| | images = [e[0] for e in images] |
| | pptx_path = imagelist_to_pptx(images) |
| | return pptx_path |
| |
|
| | def export_gallery_zip(images): |
| | images = [e[0] for e in images] |
| | |
| | with tempfile.NamedTemporaryFile(suffix=".zip", delete=False) as tmp: |
| | with zipfile.ZipFile(tmp.name, 'w', zipfile.ZIP_DEFLATED) as zipf: |
| | for i, img_path in enumerate(images): |
| | ext = os.path.splitext(img_path)[1] or '.png' |
| | zipf.write(img_path, f"layer_{i+1}{ext}") |
| | return tmp.name |
| |
|
| | @spaces.GPU(duration=180) |
| | def infer(input_image, |
| | seed=777, |
| | randomize_seed=False, |
| | prompt=None, |
| | neg_prompt=" ", |
| | true_guidance_scale=4.0, |
| | num_inference_steps=50, |
| | layer=4, |
| | cfg_norm=True, |
| | use_en_prompt=True): |
| | |
| | if randomize_seed: |
| | seed = random.randint(0, MAX_SEED) |
| | |
| | if isinstance(input_image, list): |
| | input_image = input_image[0] |
| | |
| | if isinstance(input_image, str): |
| | pil_image = Image.open(input_image).convert("RGB").convert("RGBA") |
| | elif isinstance(input_image, Image.Image): |
| | pil_image = input_image.convert("RGB").convert("RGBA") |
| | elif isinstance(input_image, np.ndarray): |
| | pil_image = Image.fromarray(input_image).convert("RGB").convert("RGBA") |
| | else: |
| | raise ValueError("Unsupported input_image type: %s" % type(input_image)) |
| | |
| | inputs = { |
| | "image": pil_image, |
| | "generator": torch.Generator(device='cuda').manual_seed(seed), |
| | "true_cfg_scale": true_guidance_scale, |
| | "prompt": prompt, |
| | "negative_prompt": neg_prompt, |
| | "num_inference_steps": num_inference_steps, |
| | "num_images_per_prompt": 1, |
| | "layers": layer, |
| | "resolution": 640, |
| | "cfg_normalize": cfg_norm, |
| | "use_en_prompt": use_en_prompt, |
| | } |
| | print(inputs) |
| | with torch.inference_mode(): |
| | output = pipeline(**inputs) |
| | output_images = output.images[0] |
| | |
| | output = [] |
| | temp_files = [] |
| | for i, image in enumerate(output_images): |
| | output.append(image) |
| | tmp = tempfile.NamedTemporaryFile(suffix=".png", delete=False) |
| | image.save(tmp.name) |
| | temp_files.append(tmp.name) |
| | |
| | pptx_path = imagelist_to_pptx(temp_files) |
| | |
| | with tempfile.NamedTemporaryFile(suffix=".zip", delete=False) as tmp: |
| | with zipfile.ZipFile(tmp.name, 'w', zipfile.ZIP_DEFLATED) as zipf: |
| | for i, img_path in enumerate(temp_files): |
| | zipf.write(img_path, f"layer_{i+1}.png") |
| | zip_path = tmp.name |
| | |
| | |
| | info_log = f"""โ
DECOMPOSITION COMPLETE! |
| | {'=' * 50} |
| | ๐ผ๏ธ Input Image Info: |
| | โข Size: {pil_image.size[0]} x {pil_image.size[1]} |
| | โข Mode: {pil_image.mode} |
| | {'=' * 50} |
| | โ๏ธ Generation Settings: |
| | โข Seed: {seed} |
| | โข Layers: {layer} |
| | โข Steps: {num_inference_steps} |
| | โข CFG Scale: {true_guidance_scale} |
| | {'=' * 50} |
| | ๐ฆ Output: |
| | โข Generated Layers: {len(output_images)} |
| | โข PPTX: Ready to download! |
| | โข ZIP: Ready to download! |
| | {'=' * 50} |
| | ๐พ All files ready for download!""" |
| | |
| | return output, pptx_path, zip_path, info_log |
| |
|
| | ensure_dirname(LOG_DIR) |
| | examples = [ |
| | "assets/test_images/1.png", |
| | "assets/test_images/2.png", |
| | "assets/test_images/3.png", |
| | "assets/test_images/4.png", |
| | "assets/test_images/5.png", |
| | "assets/test_images/6.png", |
| | "assets/test_images/7.png", |
| | "assets/test_images/8.png", |
| | "assets/test_images/9.png", |
| | "assets/test_images/10.png", |
| | "assets/test_images/11.png", |
| | "assets/test_images/12.png", |
| | "assets/test_images/13.png", |
| | ] |
| |
|
| |
|
| | |
| | |
| | |
| |
|
| | css = """ |
| | /* ===== ๐จ Google Fonts Import ===== */ |
| | @import url('https://fonts.googleapis.com/css2?family=Bangers&family=Comic+Neue:wght@400;700&display=swap'); |
| | |
| | /* ===== ๐จ Comic Classic ๋ฐฐ๊ฒฝ - ๋นํฐ์ง ํ์ดํผ + ๋ํธ ํจํด ===== */ |
| | .gradio-container { |
| | background-color: #FEF9C3 !important; |
| | background-image: |
| | radial-gradient(#1F2937 1px, transparent 1px) !important; |
| | background-size: 20px 20px !important; |
| | min-height: 100vh !important; |
| | font-family: 'Comic Neue', cursive, sans-serif !important; |
| | } |
| | |
| | /* ===== ํ๊น
ํ์ด์ค ์๋จ ์์ ์จ๊น ===== */ |
| | .huggingface-space-header, |
| | #space-header, |
| | .space-header, |
| | [class*="space-header"], |
| | .svelte-1ed2p3z, |
| | .space-header-badge, |
| | .header-badge, |
| | [data-testid="space-header"], |
| | .svelte-kqij2n, |
| | .svelte-1ax1toq, |
| | .embed-container > div:first-child { |
| | display: none !important; |
| | visibility: hidden !important; |
| | height: 0 !important; |
| | width: 0 !important; |
| | overflow: hidden !important; |
| | opacity: 0 !important; |
| | pointer-events: none !important; |
| | } |
| | |
| | /* ===== Footer ์์ ์จ๊น ===== */ |
| | footer, |
| | .footer, |
| | .gradio-container footer, |
| | .built-with, |
| | [class*="footer"], |
| | .gradio-footer, |
| | .main-footer, |
| | div[class*="footer"], |
| | .show-api, |
| | .built-with-gradio, |
| | a[href*="gradio.app"], |
| | a[href*="huggingface.co/spaces"] { |
| | display: none !important; |
| | visibility: hidden !important; |
| | height: 0 !important; |
| | padding: 0 !important; |
| | margin: 0 !important; |
| | } |
| | |
| | /* ===== ๋ฉ์ธ ์ปจํ
์ด๋ ===== */ |
| | #col-container { |
| | max-width: 1200px; |
| | margin: 0 auto; |
| | } |
| | |
| | /* ===== ๐จ ํค๋ ํ์ดํ - ์ฝ๋ฏน ์คํ์ผ ===== */ |
| | .header-text h1 { |
| | font-family: 'Bangers', cursive !important; |
| | color: #1F2937 !important; |
| | font-size: 3.5rem !important; |
| | font-weight: 400 !important; |
| | text-align: center !important; |
| | margin-bottom: 0.5rem !important; |
| | text-shadow: |
| | 4px 4px 0px #FACC15, |
| | 6px 6px 0px #1F2937 !important; |
| | letter-spacing: 3px !important; |
| | -webkit-text-stroke: 2px #1F2937 !important; |
| | } |
| | |
| | /* ===== ๐จ ์๋ธํ์ดํ ===== */ |
| | .subtitle { |
| | text-align: center !important; |
| | font-family: 'Comic Neue', cursive !important; |
| | font-size: 1.2rem !important; |
| | color: #1F2937 !important; |
| | margin-bottom: 1.5rem !important; |
| | font-weight: 700 !important; |
| | } |
| | |
| | /* ===== ๐จ ์นด๋/ํจ๋ - ๋งํ ํ๋ ์ ์คํ์ผ ===== */ |
| | .gr-panel, |
| | .gr-box, |
| | .gr-form, |
| | .block, |
| | .gr-group { |
| | background: #FFFFFF !important; |
| | border: 3px solid #1F2937 !important; |
| | border-radius: 8px !important; |
| | box-shadow: 6px 6px 0px #1F2937 !important; |
| | transition: all 0.2s ease !important; |
| | } |
| | |
| | .gr-panel:hover, |
| | .block:hover { |
| | transform: translate(-2px, -2px) !important; |
| | box-shadow: 8px 8px 0px #1F2937 !important; |
| | } |
| | |
| | /* ===== ๐จ ์
๋ ฅ ํ๋ (Textbox) ===== */ |
| | textarea, |
| | input[type="text"], |
| | input[type="number"] { |
| | background: #FFFFFF !important; |
| | border: 3px solid #1F2937 !important; |
| | border-radius: 8px !important; |
| | color: #1F2937 !important; |
| | font-family: 'Comic Neue', cursive !important; |
| | font-size: 1rem !important; |
| | font-weight: 700 !important; |
| | transition: all 0.2s ease !important; |
| | } |
| | |
| | textarea:focus, |
| | input[type="text"]:focus, |
| | input[type="number"]:focus { |
| | border-color: #3B82F6 !important; |
| | box-shadow: 4px 4px 0px #3B82F6 !important; |
| | outline: none !important; |
| | } |
| | |
| | textarea::placeholder { |
| | color: #9CA3AF !important; |
| | font-weight: 400 !important; |
| | } |
| | |
| | /* ===== ๐จ Primary ๋ฒํผ - ์ฝ๋ฏน ๋ธ๋ฃจ ===== */ |
| | .gr-button-primary, |
| | button.primary, |
| | .gr-button.primary { |
| | background: #3B82F6 !important; |
| | border: 3px solid #1F2937 !important; |
| | border-radius: 8px !important; |
| | color: #FFFFFF !important; |
| | font-family: 'Bangers', cursive !important; |
| | font-weight: 400 !important; |
| | font-size: 1.3rem !important; |
| | letter-spacing: 2px !important; |
| | padding: 14px 28px !important; |
| | box-shadow: 5px 5px 0px #1F2937 !important; |
| | transition: all 0.1s ease !important; |
| | text-shadow: 1px 1px 0px #1F2937 !important; |
| | } |
| | |
| | .gr-button-primary:hover, |
| | button.primary:hover, |
| | .gr-button.primary:hover { |
| | background: #2563EB !important; |
| | transform: translate(-2px, -2px) !important; |
| | box-shadow: 7px 7px 0px #1F2937 !important; |
| | } |
| | |
| | .gr-button-primary:active, |
| | button.primary:active, |
| | .gr-button.primary:active { |
| | transform: translate(3px, 3px) !important; |
| | box-shadow: 2px 2px 0px #1F2937 !important; |
| | } |
| | |
| | /* ===== ๐จ Secondary ๋ฒํผ - ์ฝ๋ฏน ๋ ๋ ===== */ |
| | .gr-button-secondary, |
| | button.secondary, |
| | .decompose-btn { |
| | background: #EF4444 !important; |
| | border: 3px solid #1F2937 !important; |
| | border-radius: 8px !important; |
| | color: #FFFFFF !important; |
| | font-family: 'Bangers', cursive !important; |
| | font-weight: 400 !important; |
| | font-size: 1.1rem !important; |
| | letter-spacing: 1px !important; |
| | box-shadow: 4px 4px 0px #1F2937 !important; |
| | transition: all 0.1s ease !important; |
| | text-shadow: 1px 1px 0px #1F2937 !important; |
| | } |
| | |
| | .gr-button-secondary:hover, |
| | button.secondary:hover, |
| | .decompose-btn:hover { |
| | background: #DC2626 !important; |
| | transform: translate(-2px, -2px) !important; |
| | box-shadow: 6px 6px 0px #1F2937 !important; |
| | } |
| | |
| | .gr-button-secondary:active, |
| | button.secondary:active, |
| | .decompose-btn:active { |
| | transform: translate(2px, 2px) !important; |
| | box-shadow: 2px 2px 0px #1F2937 !important; |
| | } |
| | |
| | /* ===== ๐จ ๋ก๊ทธ ์ถ๋ ฅ ์์ญ ===== */ |
| | .info-log textarea { |
| | background: #1F2937 !important; |
| | color: #10B981 !important; |
| | font-family: 'Courier New', monospace !important; |
| | font-size: 0.9rem !important; |
| | font-weight: 400 !important; |
| | border: 3px solid #10B981 !important; |
| | border-radius: 8px !important; |
| | box-shadow: 4px 4px 0px #10B981 !important; |
| | } |
| | |
| | /* ===== ๐จ ์ด๋ฏธ์ง ์
๋ก๋ ์์ญ ===== */ |
| | .image-upload { |
| | border: 4px dashed #3B82F6 !important; |
| | border-radius: 12px !important; |
| | background: #EFF6FF !important; |
| | transition: all 0.2s ease !important; |
| | } |
| | |
| | .image-upload:hover { |
| | border-color: #EF4444 !important; |
| | background: #FEF2F2 !important; |
| | } |
| | |
| | /* ===== ๐จ ์์ฝ๋์ธ - ๋งํ์ ์คํ์ผ ===== */ |
| | .gr-accordion { |
| | background: #FACC15 !important; |
| | border: 3px solid #1F2937 !important; |
| | border-radius: 8px !important; |
| | box-shadow: 4px 4px 0px #1F2937 !important; |
| | } |
| | |
| | .gr-accordion-header { |
| | color: #1F2937 !important; |
| | font-family: 'Comic Neue', cursive !important; |
| | font-weight: 700 !important; |
| | font-size: 1.1rem !important; |
| | } |
| | |
| | /* ===== ๐จ ๊ฐค๋ฌ๋ฆฌ ์คํ์ผ ===== */ |
| | .gr-gallery, |
| | .gallery-container { |
| | border: 4px solid #1F2937 !important; |
| | border-radius: 8px !important; |
| | box-shadow: 8px 8px 0px #1F2937 !important; |
| | overflow: hidden !important; |
| | background: #FFFFFF !important; |
| | } |
| | |
| | .gr-gallery .thumbnail-item { |
| | border: 3px solid #1F2937 !important; |
| | border-radius: 6px !important; |
| | transition: all 0.2s ease !important; |
| | } |
| | |
| | .gr-gallery .thumbnail-item:hover { |
| | transform: scale(1.05) !important; |
| | box-shadow: 4px 4px 0px #3B82F6 !important; |
| | } |
| | |
| | /* ===== ๐จ ์ด๋ฏธ์ง ์ถ๋ ฅ ์์ญ ===== */ |
| | .gr-image, |
| | .image-container { |
| | border: 4px solid #1F2937 !important; |
| | border-radius: 8px !important; |
| | box-shadow: 8px 8px 0px #1F2937 !important; |
| | overflow: hidden !important; |
| | background: #FFFFFF !important; |
| | } |
| | |
| | /* ===== ๐จ ํ์ผ ๋ค์ด๋ก๋ ์์ญ ===== */ |
| | .gr-file, |
| | .file-container { |
| | background: #FFFFFF !important; |
| | border: 3px solid #1F2937 !important; |
| | border-radius: 8px !important; |
| | box-shadow: 4px 4px 0px #1F2937 !important; |
| | } |
| | |
| | .gr-file:hover { |
| | transform: translate(-2px, -2px) !important; |
| | box-shadow: 6px 6px 0px #1F2937 !important; |
| | } |
| | |
| | /* ===== ๐จ ์ฌ๋ผ์ด๋ ์คํ์ผ ===== */ |
| | input[type="range"] { |
| | accent-color: #3B82F6 !important; |
| | } |
| | |
| | .gr-slider { |
| | background: #FFFFFF !important; |
| | } |
| | |
| | /* ===== ๐จ ์ฒดํฌ๋ฐ์ค ์คํ์ผ ===== */ |
| | input[type="checkbox"] { |
| | accent-color: #3B82F6 !important; |
| | width: 20px !important; |
| | height: 20px !important; |
| | border: 2px solid #1F2937 !important; |
| | } |
| | |
| | /* ===== ๐จ ๋ผ๋ฒจ ์คํ์ผ ===== */ |
| | label, |
| | .gr-input-label, |
| | .gr-block-label { |
| | color: #1F2937 !important; |
| | font-family: 'Comic Neue', cursive !important; |
| | font-weight: 700 !important; |
| | font-size: 1rem !important; |
| | } |
| | |
| | span.gr-label { |
| | color: #1F2937 !important; |
| | } |
| | |
| | /* ===== ๐จ ์ ๋ณด ํ
์คํธ ===== */ |
| | .gr-info, |
| | .info { |
| | color: #6B7280 !important; |
| | font-family: 'Comic Neue', cursive !important; |
| | font-size: 0.9rem !important; |
| | } |
| | |
| | /* ===== ๐จ ํ๋ก๊ทธ๋ ์ค ๋ฐ ===== */ |
| | .progress-bar, |
| | .gr-progress-bar { |
| | background: #3B82F6 !important; |
| | border: 2px solid #1F2937 !important; |
| | border-radius: 4px !important; |
| | } |
| | |
| | /* ===== ๐จ Examples ์น์
===== */ |
| | .gr-examples { |
| | background: #FFFFFF !important; |
| | border: 3px solid #1F2937 !important; |
| | border-radius: 8px !important; |
| | box-shadow: 6px 6px 0px #1F2937 !important; |
| | padding: 1rem !important; |
| | } |
| | |
| | .gr-examples .gr-sample { |
| | border: 2px solid #1F2937 !important; |
| | border-radius: 6px !important; |
| | transition: all 0.2s ease !important; |
| | } |
| | |
| | .gr-examples .gr-sample:hover { |
| | transform: translate(-2px, -2px) !important; |
| | box-shadow: 4px 4px 0px #3B82F6 !important; |
| | } |
| | |
| | /* ===== ๐จ ์คํฌ๋กค๋ฐ - ์ฝ๋ฏน ์คํ์ผ ===== */ |
| | ::-webkit-scrollbar { |
| | width: 12px; |
| | height: 12px; |
| | } |
| | |
| | ::-webkit-scrollbar-track { |
| | background: #FEF9C3; |
| | border: 2px solid #1F2937; |
| | } |
| | |
| | ::-webkit-scrollbar-thumb { |
| | background: #3B82F6; |
| | border: 2px solid #1F2937; |
| | border-radius: 0px; |
| | } |
| | |
| | ::-webkit-scrollbar-thumb:hover { |
| | background: #EF4444; |
| | } |
| | |
| | /* ===== ๐จ ์ ํ ํ์ด๋ผ์ดํธ ===== */ |
| | ::selection { |
| | background: #FACC15; |
| | color: #1F2937; |
| | } |
| | |
| | /* ===== ๐จ ๋งํฌ ์คํ์ผ ===== */ |
| | a { |
| | color: #3B82F6 !important; |
| | text-decoration: none !important; |
| | font-weight: 700 !important; |
| | } |
| | |
| | a:hover { |
| | color: #EF4444 !important; |
| | } |
| | |
| | /* ===== ๐จ Row/Column ๊ฐ๊ฒฉ ===== */ |
| | .gr-row { |
| | gap: 1.5rem !important; |
| | } |
| | |
| | .gr-column { |
| | gap: 1rem !important; |
| | } |
| | |
| | /* ===== ๐จ ๋ค์ด๋ก๋ ๋ฒํผ ๊ฐ์กฐ ===== */ |
| | .download-section { |
| | background: linear-gradient(135deg, #FACC15 0%, #FEF9C3 100%) !important; |
| | border: 3px solid #1F2937 !important; |
| | border-radius: 8px !important; |
| | padding: 1rem !important; |
| | box-shadow: 4px 4px 0px #1F2937 !important; |
| | } |
| | |
| | /* ===== ๋ฐ์ํ ์กฐ์ ===== */ |
| | @media (max-width: 768px) { |
| | .header-text h1 { |
| | font-size: 2.2rem !important; |
| | text-shadow: |
| | 3px 3px 0px #FACC15, |
| | 4px 4px 0px #1F2937 !important; |
| | } |
| | |
| | .gr-button-primary, |
| | button.primary { |
| | padding: 12px 20px !important; |
| | font-size: 1.1rem !important; |
| | } |
| | |
| | .gr-panel, |
| | .block { |
| | box-shadow: 4px 4px 0px #1F2937 !important; |
| | } |
| | } |
| | |
| | /* ===== ๐จ ๋คํฌ๋ชจ๋ ๋นํ์ฑํ (์ฝ๋ฏน์ ๋ฐ์์ผ ํจ) ===== */ |
| | @media (prefers-color-scheme: dark) { |
| | .gradio-container { |
| | background-color: #FEF9C3 !important; |
| | } |
| | } |
| | """ |
| |
|
| | |
| | with gr.Blocks(fill_height=True, css=css) as demo: |
| | gr.LoginButton(value="Option: HuggingFace 'Login' for extra GPU quota +", size="sm") |
| | |
| | gr.HTML(""" |
| | <div style="text-align: center; margin: 20px 0 10px 0;"> |
| | <a href="https://www.humangen.ai" target="_blank" style="text-decoration: none;"> |
| | <img src="https://img.shields.io/static/v1?label=๐ HOME&message=HUMANGEN.AI&color=0000ff&labelColor=ffcc00&style=for-the-badge" alt="HOME"> |
| | </a> |
| | </div> |
| | """) |
| | |
| | |
| | gr.Markdown( |
| | """ |
| | # ๐จ QWEN IMAGE LAYERED DECOMPOSER ๐ผ๏ธ |
| | """, |
| | elem_classes="header-text" |
| | ) |
| | |
| | gr.Markdown( |
| | """ |
| | <p class="subtitle">๐ฎ Upload an image and decompose it into magical layers! โจ PPTX & ZIP export ready! ๐ฆ</p> |
| | """, |
| | ) |
| | |
| | with gr.Row(equal_height=False): |
| | |
| | with gr.Column(scale=1, min_width=350): |
| | input_image = gr.Image( |
| | label="๐ผ๏ธ Upload Your Image", |
| | image_mode="RGBA", |
| | elem_classes="image-upload" |
| | ) |
| | |
| | run_button = gr.Button( |
| | "๐จ DECOMPOSE INTO LAYERS! ๐ฎ", |
| | variant="primary", |
| | size="lg", |
| | elem_classes="decompose-btn" |
| | ) |
| | |
| | with gr.Accordion("โ๏ธ Advanced Settings", open=False): |
| | prompt = gr.Textbox( |
| | label="โ๏ธ Prompt (Optional)", |
| | placeholder="Describe the image content including hidden elements...", |
| | value="", |
| | lines=2, |
| | ) |
| | neg_prompt = gr.Textbox( |
| | label="๐ซ Negative Prompt (Optional)", |
| | placeholder="What to avoid in generation...", |
| | value=" ", |
| | lines=2, |
| | ) |
| | |
| | seed = gr.Slider( |
| | label="๐ฒ Seed", |
| | minimum=0, |
| | maximum=MAX_SEED, |
| | step=1, |
| | value=0, |
| | ) |
| | randomize_seed = gr.Checkbox(label="๐ Randomize seed", value=True) |
| | |
| | true_guidance_scale = gr.Slider( |
| | label="๐ฏ True Guidance Scale", |
| | minimum=1.0, |
| | maximum=10.0, |
| | step=0.1, |
| | value=4.0 |
| | ) |
| |
|
| | num_inference_steps = gr.Slider( |
| | label="๐ Inference Steps", |
| | minimum=1, |
| | maximum=50, |
| | step=1, |
| | value=50, |
| | ) |
| |
|
| | layer = gr.Slider( |
| | label="๐ Number of Layers", |
| | minimum=2, |
| | maximum=10, |
| | step=1, |
| | value=4, |
| | ) |
| |
|
| | cfg_norm = gr.Checkbox(label="โ
Enable CFG Normalization", value=True) |
| | use_en_prompt = gr.Checkbox(label="๐ Auto Caption (EN=True, ZH=False)", value=True) |
| | |
| | with gr.Accordion("๐ Processing Log", open=True): |
| | info_log = gr.Textbox( |
| | label="", |
| | placeholder="Upload an image and click decompose to see info...", |
| | lines=14, |
| | max_lines=20, |
| | interactive=False, |
| | elem_classes="info-log" |
| | ) |
| | |
| | |
| | with gr.Column(scale=2, min_width=500): |
| | gallery = gr.Gallery( |
| | label="๐ญ Decomposed Layers", |
| | columns=4, |
| | rows=2, |
| | format="png", |
| | height=400 |
| | ) |
| | |
| | gr.Markdown( |
| | """ |
| | <p style="text-align: center; margin: 15px 0; font-weight: 700; color: #1F2937; font-size: 1.1rem;"> |
| | ๐พ Download Your Layers Below! ๐ |
| | </p> |
| | """ |
| | ) |
| | |
| | with gr.Row(elem_classes="download-section"): |
| | export_file = gr.File(label="๐ Download PPTX") |
| | export_zip_file = gr.File(label="๐ฆ Download ZIP") |
| | |
| | gr.Markdown( |
| | """ |
| | <p style="text-align: center; margin-top: 15px; font-weight: 700; color: #6B7280;"> |
| | ๐ก PPTX preserves layers for editing โข ZIP contains all PNG files |
| | </p> |
| | """ |
| | ) |
| |
|
| | |
| | gr.Markdown( |
| | """ |
| | <p style="text-align: center; margin: 20px 0 10px 0; font-family: 'Bangers', cursive; font-size: 1.5rem; color: #1F2937;"> |
| | ๐ TRY THESE EXAMPLES! ๐ |
| | </p> |
| | """ |
| | ) |
| | |
| | gr.Examples( |
| | examples=examples, |
| | inputs=[input_image], |
| | outputs=[gallery, export_file, export_zip_file, info_log], |
| | fn=infer, |
| | examples_per_page=14, |
| | cache_examples=False, |
| | run_on_click=True |
| | ) |
| |
|
| | |
| | run_button.click( |
| | fn=infer, |
| | inputs=[ |
| | input_image, |
| | seed, |
| | randomize_seed, |
| | prompt, |
| | neg_prompt, |
| | true_guidance_scale, |
| | num_inference_steps, |
| | layer, |
| | cfg_norm, |
| | use_en_prompt, |
| | ], |
| | outputs=[gallery, export_file, export_zip_file, info_log], |
| | ) |
| |
|
| | if __name__ == "__main__": |
| | demo.launch() |