mikonvergence commited on
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1 Parent(s): 50a1223

Update app.py

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -6,14 +6,14 @@ if __name__ == '__main__':
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  with gr.Blocks(theme=theme) as demo:
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  with gr.Column(elem_classes="header"):
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- gr.Markdown("# MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data")
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  gr.Markdown("### Paul Borne–Pons, Mikolaj Czerkawski, Rosalie Martin, Romain Rouffet")
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- gr.Markdown('[[GitHub](https://github.com/PaulBorneP/MESA)] [[Model](https://huggingface.co/NewtNewt/MESA)] [[Dataset](https://huggingface.co/datasets/Major-TOM/Core-DEM)]')
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  with gr.Column(elem_classes="abstract"):
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  gr.Markdown("MESA is a novel generative model based on latent denoising diffusion capable of generating 2.5D representations of terrain based on the text prompt conditioning supplied via natural language. The model produces two co-registered modalities of optical and depth maps.") # Replace with your abstract text
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  gr.Markdown("This is a test version of the demo app. Please be aware that MESA supports primarily complex, mountainous terrains as opposed to flat land")
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- gr.Markdown("The generated image is quite large, so for the full resolution (768) it might take a while to load the surface")
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  with gr.Row():
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  prompt_input = gr.Textbox(lines=2, placeholder="Enter a terrain description...")
 
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  with gr.Blocks(theme=theme) as demo:
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  with gr.Column(elem_classes="header"):
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+ gr.Markdown("# 🏔 MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus Data")
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  gr.Markdown("### Paul Borne–Pons, Mikolaj Czerkawski, Rosalie Martin, Romain Rouffet")
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+ gr.Markdown('[[Website](https://paulbornep.github.io/mesa-terrain/)] [[GitHub](https://github.com/PaulBorneP/MESA)] [[Model](https://huggingface.co/NewtNewt/MESA)] [[Dataset](https://huggingface.co/datasets/Major-TOM/Core-DEM)]')
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  with gr.Column(elem_classes="abstract"):
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  gr.Markdown("MESA is a novel generative model based on latent denoising diffusion capable of generating 2.5D representations of terrain based on the text prompt conditioning supplied via natural language. The model produces two co-registered modalities of optical and depth maps.") # Replace with your abstract text
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  gr.Markdown("This is a test version of the demo app. Please be aware that MESA supports primarily complex, mountainous terrains as opposed to flat land")
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+ gr.Markdown("> ⚠️ **The generated image is quite large, so for the larger resolution (768) it might take a while to load the surface**")
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  with gr.Row():
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  prompt_input = gr.Textbox(lines=2, placeholder="Enter a terrain description...")