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Running
on
Zero
mikonvergence
commited on
Commit
·
088fc4c
1
Parent(s):
37c80b4
updated colour scheme
Browse files- app.py +2 -3
- src/build_pipe.py +0 -1
app.py
CHANGED
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@@ -2,7 +2,7 @@ import gradio as gr
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from src.utils import *
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if __name__ == '__main__':
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theme = gr.themes.Soft(primary_hue="
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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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@@ -10,7 +10,6 @@ if __name__ == '__main__':
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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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# Abstract Section
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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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@@ -37,4 +36,4 @@ if __name__ == '__main__':
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outputs=model_output,
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)
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demo.queue().launch()
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from src.utils import *
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if __name__ == '__main__':
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theme = gr.themes.Soft(primary_hue="emerald", secondary_hue="stone", font=[gr.themes.GoogleFont("Source Sans 3", weights=(400, 600)),'arial'])
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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("### 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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outputs=model_output,
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)
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demo.queue().launch()
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src/build_pipe.py
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@@ -1,5 +1,4 @@
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from .pipeline_terrain import TerrainDiffusionPipeline
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#import models
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from huggingface_hub import hf_hub_download, snapshot_download
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import os
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import torch
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from .pipeline_terrain import TerrainDiffusionPipeline
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from huggingface_hub import hf_hub_download, snapshot_download
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import os
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import torch
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