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60ebd70
1
Parent(s):
c771b2b
- app.py +106 -0
- requirements.txt +1 -0
app.py
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from gradio_client import Client, handle_file
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import gradio as gr
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# Initialize Gradio Client
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client = Client("JeffreyXiang/TRELLIS") # Replace with your Hugging Face Space
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# Helper Functions for API Calls
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def start_session():
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result = client.predict(api_name="/start_session")
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return result
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def preprocess_image(image):
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result = client.predict(
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image=handle_file(image),
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api_name="/preprocess_image"
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)
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return result
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def preprocess_images(images):
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processed_images = [
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{"image": handle_file(img), "caption": None} for img in images
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]
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result = client.predict(
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images=processed_images,
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api_name="/preprocess_images"
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)
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return result
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def get_seed(randomize_seed, seed):
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result = client.predict(
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randomize_seed=randomize_seed,
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seed=seed,
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api_name="/get_seed"
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)
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return result
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def image_to_3d(image, seed, ss_guidance_strength, ss_sampling_steps, slat_guidance_strength, slat_sampling_steps, multiimage_algo):
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result = client.predict(
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image=handle_file(image),
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multiimages=[],
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seed=seed,
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ss_guidance_strength=ss_guidance_strength,
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ss_sampling_steps=ss_sampling_steps,
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slat_guidance_strength=slat_guidance_strength,
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slat_sampling_steps=slat_sampling_steps,
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multiimage_algo=multiimage_algo,
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api_name="/image_to_3d"
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)
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return result["video"]
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def extract_glb(mesh_simplify, texture_size):
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result = client.predict(
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mesh_simplify=mesh_simplify,
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texture_size=texture_size,
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api_name="/extract_glb"
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)
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return result[1] # Return the GLB file path for download
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def extract_gaussian():
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result = client.predict(api_name="/extract_gaussian")
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return result[1] # Return the Gaussian file path for download
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# Define Gradio UI
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with gr.Blocks() as demo:
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gr.Markdown("# Image to 3D Model with TRELLIS API")
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with gr.Row():
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with gr.Column():
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image = gr.Image(type="filepath", label="Upload Image")
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seed = gr.Slider(0, 100, value=0, step=1, label="Seed")
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ss_guidance_strength = gr.Slider(0.0, 10.0, value=7.5, step=0.1, label="SS Guidance Strength")
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ss_sampling_steps = gr.Slider(1, 50, value=12, step=1, label="SS Sampling Steps")
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slat_guidance_strength = gr.Slider(0.0, 10.0, value=3.0, step=0.1, label="SLAT Guidance Strength")
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slat_sampling_steps = gr.Slider(1, 50, value=12, step=1, label="SLAT Sampling Steps")
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multiimage_algo = gr.Radio(["stochastic", "multidiffusion"], value="stochastic", label="Multi-image Algorithm")
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generate_btn = gr.Button("Generate 3D Model")
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with gr.Column():
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video_output = gr.Video(label="3D Model Preview")
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download_glb_btn = gr.Button("Download GLB")
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download_gaussian_btn = gr.Button("Download Gaussian")
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glb_file = gr.File(label="GLB File")
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gaussian_file = gr.File(label="Gaussian File")
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# Define Actions
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generate_btn.click(
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fn=image_to_3d,
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inputs=[image, seed, ss_guidance_strength, ss_sampling_steps, slat_guidance_strength, slat_sampling_steps, multiimage_algo],
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outputs=[video_output]
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)
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download_glb_btn.click(
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fn=extract_glb,
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inputs=[0.95, 1024], # Example: default values for mesh_simplify and texture_size
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outputs=[glb_file]
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)
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download_gaussian_btn.click(
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fn=extract_gaussian,
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inputs=[],
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outputs=[gaussian_file]
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)
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# Launch Gradio App
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
ADDED
@@ -0,0 +1 @@
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1 |
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gradio_client
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