Add initial project files for TextTo3D app

README.md

@@ -1,13 +1,12 @@
 ---
 title: TextTo3D 2.0
-emoji: 💻
+emoji: 🐨
 colorFrom: purple
-colorTo: blue
+colorTo: purple
 sdk: gradio
 sdk_version: 5.17.0
 app_file: app.py
 pinned: false
-short_description: CTP 2025 CLASS DEMO
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from gradio_client import Client, handle_file
+
+# Create a client for the external 3D generation API hosted on "tencent/Hunyuan3D-2"
+api_client = Client("tencent/Hunyuan3D-2")
+
+def generate_3d(caption: str, image, steps: float, guidance_scale: float, seed: float, octree_resolution: str, check_box_rembg: bool):
+    """
+    Calls the external /generation_all API endpoint to generate 3D outputs.
+    Returns a tuple of:
+      [0] White Mesh file (filepath),
+      [1] Textured Mesh file (filepath),
+      [2] HTML output string,
+      [3] Additional HTML output string.
+    """
+    # If no image is provided, use a default image URL
+    if image is None:
+        image = "https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png"
+    
+    image_path = handle_file(image)
+    
+    result = api_client.predict(
+        caption=caption,
+        image=image_path,
+        steps=steps,
+        guidance_scale=guidance_scale,
+        seed=seed,
+        octree_resolution=octree_resolution,
+        check_box_rembg=check_box_rembg,
+        api_name="/generation_all"
+    )
+    return result
+
+# Build the UI using Gradio Blocks for a more organized layout.
+with gr.Blocks(title="3D Generator") as demo:
+    gr.Markdown("# 3D Generator")
+    gr.Markdown("Generate 3D models using the external `/generation_all` API from `tencent/Hunyuan3D-2`.")
+    
+    with gr.Row():
+        with gr.Column():
+            caption_input = gr.Textbox(
+                label="Text Prompt (Caption)",
+                placeholder="Enter your caption here",
+                lines=2
+            )
+            image_input = gr.Image(
+                label="Input Image",
+                type="filepath"
+            )
+        with gr.Column():
+            steps_input = gr.Slider(
+                minimum=1, maximum=100, step=1, value=50,
+                label="Inference Steps"
+            )
+            guidance_scale_input = gr.Slider(
+                minimum=1.0, maximum=10.0, step=0.1, value=5.5,
+                label="Guidance Scale"
+            )
+            seed_input = gr.Slider(
+                minimum=0, maximum=10000, step=1, value=1234,
+                label="Seed"
+            )
+            octree_resolution_input = gr.Dropdown(
+                choices=["256", "384", "512"],
+                value="256",
+                label="Octree Resolution"
+            )
+            check_box_rembg_input = gr.Checkbox(
+                label="Remove Background",
+                value=True
+            )
+    
+    generate_button = gr.Button("Generate 3D Model")
+    
+    gr.Markdown("### Generated Outputs")
+    with gr.Row():
+        white_mesh_output = gr.File(label="Download White Mesh")
+        textured_mesh_output = gr.File(label="Download Textured Mesh")
+    output_html1 = gr.HTML(label="Output HTML 1")
+    output_html2 = gr.HTML(label="Output HTML 2")
+    
+    # Connect the button click event to the generate_3d function.
+    generate_button.click(
+        fn=generate_3d,
+        inputs=[
+            caption_input, image_input, steps_input,
+            guidance_scale_input, seed_input,
+            octree_resolution_input, check_box_rembg_input
+        ],
+        outputs=[
+            white_mesh_output, textured_mesh_output,
+            output_html1, output_html2
+        ]
+    )
+    
+    gr.Markdown("## Enjoy your generated 3D models!")
+
+if __name__ == "__main__":
+    # Launch the app with a public share link (if desired)
+    demo.launch(share=True)

gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

requirements.txt

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+gradio
+gradio_client