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import gradio as gr |
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import random, os |
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from PIL import Image |
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def open_ims(choice): |
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dirname='images/'+choice.replace(' ','_')+'/Seed_'+ str(seed_choice)+'/' |
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imnames= os.listdir(dirname) |
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images = [(Image.open(dirname+name)) for name in imnames] |
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return images[:9] |
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def random_image(): |
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cat = random.choice(categories) |
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dirname = 'images/'+cat.replace(' ','_')+'/Seed_'+str(seed_choice)+'/' |
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imnames = os.listdir(dirname) |
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images = [(Image.open(dirname+name)) for name in imnames] |
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return images[:9] |
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categories=os.listdir('images/') |
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categories = [c.replace('_',' ') for c in categories] |
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seeds = [46267, 48040, 51237, 54325, 60884, 64830, 67031, 72935, 92118, 93109] |
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with gr.Blocks() as demo: |
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gr.Markdown("# Stable Diffusion Explorer") |
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gr.Markdown("## Choose from the prompts below to explore the way in which the Stable Diffusion model encodes societal biases") |
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seed_choice = gr.State(0) |
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seed_choice = random.choice(seeds) |
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print("Seed choice is: " + str(seed_choice)) |
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with gr.Row(): |
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with gr.Column(): |
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choice1 = gr.Dropdown(categories, label = "Choose a first category", interactive=True) |
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images1 = gr.Gallery(label="Images").style(grid=[3], height="auto") |
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with gr.Column(): |
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choice2 = gr.Dropdown(categories, label = "Choose a second category", interactive=True) |
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images2 = gr.Gallery(label="Images").style(grid=[3], height="auto") |
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choice1.change(open_ims, [choice1], [images1]) |
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choice2.change(open_ims, [choice2], [images2]) |
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demo.launch() |
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