Update app.py
Browse files
app.py
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@@ -2,7 +2,7 @@ import torch
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from diffusers import StableDiffusionPipeline, DDIMScheduler
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import gradio as gr
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pipe = StableDiffusionPipeline.from_pretrained("MVRL/GeoSynth")
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# scheduler = DDIMScheduler.from_pretrained("stabilityai/stable-diffusion-2-1-base")
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# pipe.scheduler = scheduler
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@@ -23,7 +23,12 @@ def process(prompt, n_prompt, num_samples, image_resolution, ddim_steps, scale,
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block = gr.Blocks().queue()
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with block:
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with gr.Row():
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gr.Markdown(
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(label="Prompt")
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from diffusers import StableDiffusionPipeline, DDIMScheduler
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import gradio as gr
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pipe = StableDiffusionPipeline.from_pretrained("MVRL/GeoSynth", torch_dtype=torch.float16)
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# scheduler = DDIMScheduler.from_pretrained("stabilityai/stable-diffusion-2-1-base")
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# pipe.scheduler = scheduler
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block = gr.Blocks().queue()
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with block:
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with gr.Row():
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gr.Markdown(
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"""
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# GeoSynth: Contextually-Aware High-Resolution Satellite Image Synthesis
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Srikumar Sastry*, Subash Khanal, Aayush Dhakal, Nathan Jacobs (*Corresponding Author)<br>
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"""
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)
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(label="Prompt")
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