Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -15,6 +15,7 @@ from fastapi import FastAPI, HTTPException, Depends, File, UploadFile
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from fastapi.security import APIKeyHeader
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from fastapi.staticfiles import StaticFiles
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from pydantic import BaseModel
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# Install additional dependencies
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subprocess.run("pip install spandrel==0.4.1 --no-deps", shell=True, check=True)
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@@ -58,7 +59,7 @@ app.mount("/files", StaticFiles(directory=TMP_DIR), name="files")
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# API key authentication
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api_key_header = APIKeyHeader(name="X-API-Key")
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-
VALID_API_KEY = os.getenv("POLYGENIX_API_KEY", "your-secret-api-key")
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async def verify_api_key(api_key: str = Depends(api_key_header)):
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if api_key != VALID_API_KEY:
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@@ -73,10 +74,88 @@ class GenerateRequest(BaseModel):
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simplify: bool = True
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target_face_num: int = DEFAULT_FACE_NUMBER
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# triposg
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from image_process import prepare_image
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@@ -105,8 +184,9 @@ mv_adapter_pipe = prepare_pipeline(
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dtype=torch.float16,
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)
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birefnet = AutoModelForImageSegmentation.from_pretrained(
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-
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)
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transform_image = transforms.Compose(
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[
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transforms.Resize((1024, 1024)),
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@@ -121,13 +201,27 @@ if not os.path.exists("checkpoints/RealESRGAN_x2plus.pth"):
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if not os.path.exists("checkpoints/big-lama.pt"):
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subprocess.run("wget -P checkpoints/ https://github.com/Sanster/models/releases/download/add_big_lama/big-lama.pt", shell=True, check=True)
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def get_random_hex():
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random_bytes = os.urandom(8)
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random_hex = random_bytes.hex()
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return random_hex
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@spaces.GPU(duration=180)
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def run_full(image: str, req
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seed = 0
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num_inference_steps = 50
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guidance_scale = 7.5
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@@ -159,6 +253,7 @@ def run_full(image: str, req=None):
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torch.cuda.empty_cache()
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height, width = 768, 768
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cameras = get_orthogonal_camera(
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elevation_deg=[0, 0, 0, 0, 89.99, -89.99],
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distance=[1.8] * NUM_VIEWS,
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@@ -267,20 +362,6 @@ async def generate_3d_model(request: GenerateRequest, image: UploadFile = File(.
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if os.path.exists(save_dir):
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shutil.rmtree(save_dir)
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def start_session(req: gr.Request):
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save_dir = os.path.join(TMP_DIR, str(req.session_hash))
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os.makedirs(save_dir, exist_ok=True)
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print("start session, mkdir", save_dir)
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def end_session(req: gr.Request):
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save_dir = os.path.join(TMP_DIR, str(req.session_hash))
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shutil.rmtree(save_dir)
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-
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def get_random_seed(randomize_seed, seed):
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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return seed
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@spaces.GPU()
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@torch.no_grad()
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def run_segmentation(image: str):
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@@ -325,6 +406,7 @@ def image_to_3d(
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@torch.no_grad()
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def run_texture(image: Image, mesh_path: str, seed: int, req: gr.Request):
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height, width = 768, 768
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cameras = get_orthogonal_camera(
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elevation_deg=[0, 0, 0, 0, 89.99, -89.99],
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distance=[1.8] * NUM_VIEWS,
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@@ -385,6 +467,7 @@ def run_texture(image: Image, mesh_path: str, seed: int, req: gr.Request):
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torch.cuda.empty_cache()
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mv_image_path = os.path.join(save_dir, f"polygenixai_mv_{get_random_hex()}.png")
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make_image_grid(images, rows=1).save(mv_image_path)
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@@ -408,92 +491,14 @@ def run_texture(image: Image, mesh_path: str, seed: int, req: gr.Request):
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return textured_glb_path
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-
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# 🌌 PolyGenixAI: Craft 3D Worlds with Cosmic Precision
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## Unleash Infinite Creativity with AI-Powered 3D Generation by AnvilInteractive Solutions
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<p style="font-size: 1.1em; color: #A78BFA;">By <a href="https://www.anvilinteractive.com/" style="color: #A78BFA; text-decoration: none; font-weight: bold;">AnvilInteractive Solutions</a></p>
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## 🚀 Launch Your Creation:
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1. **Upload an Image** (clear, single-object images shine brightest)
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2. **Choose a Style Filter** to infuse your unique vision
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3. Click **Generate 3D Model** to sculpt your mesh
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4. Click **Apply Texture** to bring your model to life
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5. **Download GLB** to share your masterpiece
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<p style="font-size: 0.9em; margin-top: 10px; color: #D1D5DB;">Powered by cutting-edge AI and multi-view technology from AnvilInteractive Solutions. Join our <a href="https://www.anvilinteractive.com/community" style="color: #A78BFA; text-decoration: none;">PolyGenixAI Community</a> to connect with creators and spark inspiration.</p>
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&display=swap');
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body {
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background-color: #1A1A1A !important;
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font-family: 'Inter', sans-serif !important;
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color: #D1D5DB !important;
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}
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.gr-panel {
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background-color: #2D2D2D !important;
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border: 1px solid #7C3AED !important;
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border-radius: 12px !important;
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padding: 20px !important;
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box-shadow: 0 4px 10px rgba(124, 58, 237, 0.2) !important;
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}
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.gr-button-primary {
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background: linear-gradient(45deg, #7C3AED, #A78BFA) !important;
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color: white !important;
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border: none !important;
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border-radius: 8px !important;
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padding: 12px 24px !important;
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font-weight: 600 !important;
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transition: transform 0.2s, box-shadow 0.2s !important;
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}
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.gr-button-primary:hover {
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transform: translateY(-2px) !important;
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box-shadow: 0 4px 12px rgba(124, 58, 237, 0.5) !important;
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}
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.gr-button-secondary {
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background-color: #4B4B4B !important;
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color: #D1D5DB !important;
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border: 1px solid #A78BFA !important;
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border-radius: 8px !important;
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padding: 10px 20px !important;
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transition: transform 0.2s !important;
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}
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.gr-button-secondary:hover {
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transform: translateY(-1px) !important;
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background-color: #6B6B6B !important;
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}
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.gr-accordion {
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background-color: #2D2D2D !important;
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border-radius: 8px !important;
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border: 1px solid #7C3AED !important;
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}
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.gr-tab {
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background-color: #2D2D2D !important;
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color: #A78BFA !important;
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border: 1px solid #7C3AED !important;
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border-radius: 8px !important;
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margin: 5px !important;
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}
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.gr-tab:hover, .gr-tab-selected {
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background: linear-gradient(45deg, #7C3AED, #A78BFA) !important;
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color: white !important;
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}
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.gr-slider input[type=range]::-webkit-slider-thumb {
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background-color: #7C3AED !important;
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border: 2px solid #A78BFA !important;
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}
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.gr-dropdown {
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background-color: #2D2D2D !important;
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color: #D1D5DB !important;
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border: 1px solid #A78BFA !important;
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border-radius: 8px !important;
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}
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h1, h3 {
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color: #A78BFA !important;
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text-shadow: 0 0 10px rgba(124, 58, 237, 0.5) !important;
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}
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</style>
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"""
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# Gradio interface
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with gr.Blocks(title="PolyGenixAI", css="body { background-color: #1A1A1A; } .gr-panel { background-color: #2D2D2D; }") as demo:
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gr.Markdown(HEADER)
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with gr.Tabs(elem_classes="gr-tab"):
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with gr.Tab("Create 3D Model"):
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with gr.Row():
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)
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gen_button = gr.Button("Generate 3D Model", variant="primary", elem_classes="gr-button-primary")
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gen_texture_button = gr.Button("Apply Texture", variant="secondary", interactive=False, elem_classes="gr-button-secondary")
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with gr.Column(scale=1):
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model_output = gr.Model3D(label="3D Model Preview", interactive=False, height=400, elem_classes="gr-panel")
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textured_model_output = gr.Model3D(label="Textured 3D Model", interactive=False, height=400, elem_classes="gr-panel")
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download_button = gr.Button("Download GLB", variant="secondary", elem_classes="gr-button-secondary")
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with gr.Tab("Cosmic Gallery"):
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gr.Markdown("### Discover Stellar Creations")
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gr.Examples(
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cache_examples=True,
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)
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gr.Markdown("Connect with creators in our <a href='https://www.anvilinteractive.com/community' style='color: #A78BFA; text-decoration: none;'>PolyGenixAI Cosmic Community</a>!")
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gen_button.click(
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run_segmentation,
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inputs=[image_prompts],
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],
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outputs=[model_output]
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).then(lambda: gr.Button(interactive=True), outputs=[gen_texture_button])
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gen_texture_button.click(
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run_texture,
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inputs=[image_prompts, model_output, seed],
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outputs=[textured_model_output]
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)
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demo.load(start_session)
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demo.unload(end_session)
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#
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app = gr.mount_gradio_app(app, demo, path="/")
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=7860)
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from fastapi.security import APIKeyHeader
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from fastapi.staticfiles import StaticFiles
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from pydantic import BaseModel
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import uvicorn
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# Install additional dependencies
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subprocess.run("pip install spandrel==0.4.1 --no-deps", shell=True, check=True)
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# API key authentication
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api_key_header = APIKeyHeader(name="X-API-Key")
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VALID_API_KEY = os.getenv("POLYGENIX_API_KEY", "your-secret-api-key") # Set in Hugging Face Space secrets
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async def verify_api_key(api_key: str = Depends(api_key_header)):
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if api_key != VALID_API_KEY:
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simplify: bool = True
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target_face_num: int = DEFAULT_FACE_NUMBER
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HEADER = """
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# 🌌 PolyGenixAI: Craft 3D Worlds with Cosmic Precision
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## Unleash Infinite Creativity with AI-Powered 3D Generation by AnvilInteractive Solutions
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<p style="font-size: 1.1em; color: #A78BFA;">By <a href="https://www.anvilinteractive.com/" style="color: #A78BFA; text-decoration: none; font-weight: bold;">AnvilInteractive Solutions</a></p>
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## 🚀 Launch Your Creation:
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1. **Upload an Image** (clear, single-object images shine brightest)
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2. **Choose a Style Filter** to infuse your unique vision
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3. Click **Generate 3D Model** to sculpt your mesh
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4. Click **Apply Texture** to bring your model to life
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5. **Download GLB** to share your masterpiece
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<p style="font-size: 0.9em; margin-top: 10px; color: #D1D5DB;">Powered by cutting-edge AI and multi-view technology from AnvilInteractive Solutions. Join our <a href="https://www.anvilinteractive.com/community" style="color: #A78BFA; text-decoration: none;">PolyGenixAI Community</a> to connect with creators and spark inspiration.</p>
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&display=swap');
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body {
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background-color: #1A1A1A !important;
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font-family: 'Inter', sans-serif !important;
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color: #D1D5DB !important;
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}
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.gr-panel {
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background-color: #2D2D2D !important;
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border: 1px solid #7C3AED !important;
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border-radius: 12px !important;
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padding: 20px !important;
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box-shadow: 0 4px 10px rgba(124, 58, 237, 0.2) !important;
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}
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.gr-button-primary {
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background: linear-gradient(45deg, #7C3AED, #A78BFA) !important;
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color: white !important;
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border: none !important;
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border-radius: 8px !important;
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padding: 12px 24px !important;
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font-weight: 600 !important;
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transition: transform 0.2s, box-shadow 0.2s !important;
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}
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.gr-button-primary:hover {
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transform: translateY(-2px) !important;
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box-shadow: 0 4px 12px rgba(124, 58, 237, 0.5) !important;
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}
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.gr-button-secondary {
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background-color: #4B4B4B !important;
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color: #D1D5DB !important;
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border: 1px solid #A78BFA !important;
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border-radius: 8px !important;
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padding: 10px 20px !important;
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transition: transform 0.2s !important;
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}
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.gr-button-secondary:hover {
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transform: translateY(-1px) !important;
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background-color: #6B6B6B !important;
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}
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.gr-accordion {
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background-color: #2D2D2D !important;
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border-radius: 8px !important;
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border: 1px solid #7C3AED !important;
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}
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.gr-tab {
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background-color: #2D2D2D !important;
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color: #A78BFA !important;
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border: 1px solid #7C3AED !important;
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border-radius: 8px !important;
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margin: 5px !important;
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}
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.gr-tab:hover, .gr-tab-selected {
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background: linear-gradient(45deg, #7C3AED, #A78BFA) !important;
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color: white !important;
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}
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.gr-slider input[type=range]::-webkit-slider-thumb {
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background-color: #7C3AED !important;
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border: 2px solid #A78BFA !important;
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}
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.gr-dropdown {
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background-color: #2D2D2D !important;
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color: #D1D5DB !important;
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border: 1px solid #A78BFA !important;
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border-radius: 8px !important;
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}
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h1, h3 {
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color: #A78BFA !important;
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text-shadow: 0 0 10px rgba(124, 58, 237, 0.5) !important;
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}
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</style>
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"""
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# triposg
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from image_process import prepare_image
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dtype=torch.float16,
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)
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birefnet = AutoModelForImageSegmentation.from_pretrained(
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"ZhengPeng7/BiRefNet", trust_remote_code=True
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)
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birefnet.to(DEVICE)
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transform_image = transforms.Compose(
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[
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transforms.Resize((1024, 1024)),
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if not os.path.exists("checkpoints/big-lama.pt"):
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subprocess.run("wget -P checkpoints/ https://github.com/Sanster/models/releases/download/add_big_lama/big-lama.pt", shell=True, check=True)
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+
def start_session(req: gr.Request):
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+
save_dir = os.path.join(TMP_DIR, str(req.session_hash))
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os.makedirs(save_dir, exist_ok=True)
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+
print("start session, mkdir", save_dir)
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+
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209 |
+
def end_session(req: gr.Request):
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+
save_dir = os.path.join(TMP_DIR, str(req.session_hash))
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+
shutil.rmtree(save_dir)
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+
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def get_random_hex():
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random_bytes = os.urandom(8)
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random_hex = random_bytes.hex()
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return random_hex
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218 |
+
def get_random_seed(randomize_seed, seed):
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+
if randomize_seed:
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+
seed = random.randint(0, MAX_SEED)
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+
return seed
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+
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223 |
@spaces.GPU(duration=180)
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+
def run_full(image: str, req: gr.Request):
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seed = 0
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num_inference_steps = 50
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guidance_scale = 7.5
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253 |
torch.cuda.empty_cache()
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height, width = 768, 768
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+
# Prepare cameras
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cameras = get_orthogonal_camera(
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elevation_deg=[0, 0, 0, 0, 89.99, -89.99],
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259 |
distance=[1.8] * NUM_VIEWS,
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362 |
if os.path.exists(save_dir):
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363 |
shutil.rmtree(save_dir)
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365 |
@spaces.GPU()
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366 |
@torch.no_grad()
|
367 |
def run_segmentation(image: str):
|
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|
406 |
@torch.no_grad()
|
407 |
def run_texture(image: Image, mesh_path: str, seed: int, req: gr.Request):
|
408 |
height, width = 768, 768
|
409 |
+
# Prepare cameras
|
410 |
cameras = get_orthogonal_camera(
|
411 |
elevation_deg=[0, 0, 0, 0, 89.99, -89.99],
|
412 |
distance=[1.8] * NUM_VIEWS,
|
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|
467 |
|
468 |
torch.cuda.empty_cache()
|
469 |
|
470 |
+
save_dir = os.path.join(TMP_DIR, str(req.session_hash))
|
471 |
mv_image_path = os.path.join(save_dir, f"polygenixai_mv_{get_random_hex()}.png")
|
472 |
make_image_grid(images, rows=1).save(mv_image_path)
|
473 |
|
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|
491 |
|
492 |
return textured_glb_path
|
493 |
|
494 |
+
# Gradio interface (unchanged)
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|
495 |
with gr.Blocks(title="PolyGenixAI", css="body { background-color: #1A1A1A; } .gr-panel { background-color: #2D2D2D; }") as demo:
|
496 |
gr.Markdown(HEADER)
|
497 |
+
|
498 |
+
@app.get("/api/test")
|
499 |
+
async def test_endpoint():
|
500 |
+
return {"message": "FastAPI is running"}
|
501 |
+
|
502 |
with gr.Tabs(elem_classes="gr-tab"):
|
503 |
with gr.Tab("Create 3D Model"):
|
504 |
with gr.Row():
|
|
|
551 |
)
|
552 |
gen_button = gr.Button("Generate 3D Model", variant="primary", elem_classes="gr-button-primary")
|
553 |
gen_texture_button = gr.Button("Apply Texture", variant="secondary", interactive=False, elem_classes="gr-button-secondary")
|
554 |
+
|
555 |
with gr.Column(scale=1):
|
556 |
model_output = gr.Model3D(label="3D Model Preview", interactive=False, height=400, elem_classes="gr-panel")
|
557 |
textured_model_output = gr.Model3D(label="Textured 3D Model", interactive=False, height=400, elem_classes="gr-panel")
|
558 |
download_button = gr.Button("Download GLB", variant="secondary", elem_classes="gr-button-secondary")
|
559 |
+
|
560 |
with gr.Tab("Cosmic Gallery"):
|
561 |
gr.Markdown("### Discover Stellar Creations")
|
562 |
gr.Examples(
|
|
|
570 |
cache_examples=True,
|
571 |
)
|
572 |
gr.Markdown("Connect with creators in our <a href='https://www.anvilinteractive.com/community' style='color: #A78BFA; text-decoration: none;'>PolyGenixAI Cosmic Community</a>!")
|
573 |
+
|
574 |
gen_button.click(
|
575 |
run_segmentation,
|
576 |
inputs=[image_prompts],
|
|
|
591 |
],
|
592 |
outputs=[model_output]
|
593 |
).then(lambda: gr.Button(interactive=True), outputs=[gen_texture_button])
|
594 |
+
|
595 |
gen_texture_button.click(
|
596 |
run_texture,
|
597 |
inputs=[image_prompts, model_output, seed],
|
598 |
outputs=[textured_model_output]
|
599 |
)
|
600 |
+
|
601 |
demo.load(start_session)
|
602 |
demo.unload(end_session)
|
603 |
|
604 |
+
# Run both Gradio and FastAPI
|
|
|
|
|
605 |
if __name__ == "__main__":
|
606 |
+
demo.launch(server_name="0.0.0.0", server_port=7860)
|
|