cutoff-3 / app.py
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hysts HF Staff
Create app.py
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import gradio as gr
with gr.Blocks(delete_cache=(600, 600)) as demo:
gr.Markdown("# 🎨 SeqTex: Generate Mesh Textures in Video Sequence")
gr.Markdown("""
## πŸš€ Welcome to SeqTex!
**SeqTex** is a cutting-edge AI system that generates high-quality textures for 3D meshes using image prompts (here we use image generator to get them from textual prompts).
Choose to either **try our example models** below or **upload your own 3D mesh** to create stunning textures.
""")
gr.Markdown("---")
gr.Markdown("## πŸ”§ Step 1: Upload & Process 3D Mesh")
gr.Markdown("""
**πŸ“‹ How to prepare your 3D mesh:**
- Upload your 3D mesh in **.obj** or **.glb** format
- **πŸ’‘ Pro Tip**:
- For optimal results, ensure your mesh includes only one part with <span style="color:#e74c3c; font-weight:bold;">UV parameterization</span>
- Otherwise, we'll combine all parts and generate UV parameterization using *xAtlas* (may take longer for high-poly meshes; may also fail for certain meshes)
- **⚠️ Important**: We recommend adjusting your model using *Mesh Orientation Adjustments* to be **Z-UP oriented** for best results
""")
position_map_tensor_path = gr.State()
normal_map_tensor_path = gr.State()
position_images_tensor_path = gr.State()
normal_images_tensor_path = gr.State()
mask_images_tensor_path = gr.State()
w2c_tensor_path = gr.State()
mesh = gr.State()
mvp_matrix_tensor_path = gr.State()
# fixed_texture_map = Image.open("image.webp").convert("RGB")
# Step 1
with gr.Row():
with gr.Column():
mesh_upload = gr.File(label="πŸ“ Upload 3D Mesh", file_types=[".obj", ".glb"])
# uv_tool = gr.Radio(["xAtlas", "UVAtlas"], label="UV parameterizer", value="xAtlas")
gr.Markdown("**πŸ”„ Mesh Orientation Adjustments** (if needed):")
y2z = gr.Checkbox(label="Y β†’ Z Transform", value=False, info="Rotate: Y becomes Z, -Z becomes Y")
y2x = gr.Checkbox(label="Y β†’ X Transform", value=False, info="Rotate: Y becomes X, -X becomes Y")
z2x = gr.Checkbox(label="Z β†’ X Transform", value=False, info="Rotate: Z becomes X, -X becomes Z")
upside_down = gr.Checkbox(label="πŸ”ƒ Flip Vertically", value=False, info="Fix upside-down mesh orientation")
step1_button = gr.Button("πŸ”„ Process Mesh & Generate Views", variant="primary")
step1_progress = gr.Textbox(label="πŸ“Š Processing Status", interactive=False)
with gr.Column():
model_input = gr.Model3D(label="πŸ“ Processed 3D Model", height=500)
with gr.Row(equal_height=True):
rgb_views = gr.Image(label="πŸ“· Generated Views", type="pil", scale=3)
position_map = gr.Image(label="πŸ—ΊοΈ Position Map", type="pil", scale=1)
normal_map = gr.Image(label="🧭 Normal Map", type="pil", scale=1)
# Step 2
gr.Markdown("---")
gr.Markdown("## πŸ‘οΈ Step 2: Select View & Generate Image Condition")
gr.Markdown("""
**πŸ“‹ How to generate image condition:**
- Your mesh will be rendered from **four viewpoints** (front, back, left, right)
- Choose **one view** as your image condition
- Enter a **descriptive text prompt** for the desired texture
- Select your preferred AI model:
- <span style="color:#27ae60; font-weight:bold;">🎯 SDXL</span>: Fast generation with depth + normal control, better details (often suffer from wrong highlights)
- <span style="color:#3498db; font-weight:bold;">⚑ FLUX</span>: ~~High-quality generation with depth control (slower due to CPU offloading). Better work with **Edge Refinement**~~ (Not supported due to the memory limit of HF Space. You can try it locally)
""")
with gr.Row():
with gr.Column():
img_condition_seed = gr.Number(label="🎲 Random Seed", minimum=0, maximum=9999, step=1, value=42, info="Change for different results")
selected_view = gr.Radio(["First View", "Second View", "Third View", "Fourth View"], label="πŸ“ Camera View", value="First View", info="Choose which viewpoint to use as reference")
with gr.Row():
# model_choice = gr.Radio(["SDXL", "FLUX"], label="πŸ€– AI Model", value="SDXL", info="SDXL: Fast, depth+normal control | FLUX: High-quality, slower processing")
model_choice = gr.Radio(["SDXL"], label="πŸ€– AI Model", value="SDXL", info="SDXL: Fast, depth+normal control | FLUX: High-quality, slower processing (Not supported due to the memory limit of HF Space)")
edge_refinement = gr.Checkbox(label="✨ Edge Refinement", value=True, info="Smooth boundary artifacts (recommended for delightning highlights in the boundary)")
text_prompt = gr.Textbox(label="πŸ’¬ Texture Description", placeholder="Describe the desired texture appearance (e.g., 'rustic wooden surface with weathered paint')", lines=2)
step2_button = gr.Button("🎯 Generate Image Condition", variant="primary")
step2_progress = gr.Textbox(label="πŸ“Š Generation Status", interactive=False)
with gr.Column():
condition_image = gr.Image(label="πŸ–ΌοΈ Generated Image Condition", type="pil") # , interactive=False
# Step 3
gr.Markdown("---")
gr.Markdown("## 🎨 Step 3: Generate Final Texture")
gr.Markdown("""
**πŸ“‹ How to generate final texture:**
- The **SeqTex pipeline** will create a complete texture map for your model
- View the results from multiple angles and download your textured 3D model (the viewport is a little bit dark)
""")
texture_map_tensor_path = gr.State()
with gr.Row():
with gr.Column(scale=1):
step3_button = gr.Button("🎨 Generate Final Texture", variant="primary")
step3_progress = gr.Textbox(label="πŸ“Š Texture Generation Status", interactive=False)
texture_map = gr.Image(label="πŸ† Generated Texture Map", interactive=False)
with gr.Column(scale=2):
rendered_imgs = gr.Image(label="πŸ–ΌοΈ Final Rendered Views")
mv_branch_imgs = gr.Image(label="πŸ–ΌοΈ SeqTex Direct Output")
with gr.Column(scale=1.5):
model_display = gr.Model3D(label="πŸ† Final Textured Model", height=500)
demo.launch()