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Update app.py
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app.py
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import torch
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import gradio as gr
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from PIL import
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import spaces
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from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline
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prior = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", torch_dtype=torch.bfloat16).to(device)
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decoder = StableCascadeDecoderPipeline.from_pretrained("stabilityai/stable-cascade", torch_dtype=torch.float16).to(device)
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@spaces.GPU
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def gen(prompt, negative, width, height):
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).images
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return decoder_output
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import torch
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import gradio as gr
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from PIL import Image
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import spaces
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from diffusers import StableCascadeDecoderPipeline, StableCascadePriorPipeline
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prior = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", torch_dtype=torch.bfloat16).to(device)
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decoder = StableCascadeDecoderPipeline.from_pretrained("stabilityai/stable-cascade", torch_dtype=torch.float16).to(device)
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css = """
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footer {
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visibility: hidden
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}
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#generate_button {
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color: white;
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border-color: #007bff;
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background: #2563eb;
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}
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#save_button {
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color: white;
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border-color: #028b40;
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background: #01b97c;
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width: 200px;
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}
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#settings_header {
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background: rgb(245, 105, 105);
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}
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"""
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@spaces.GPU
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def gen(prompt, negative, width, height):
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).images
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return decoder_output
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with gr.Blocks(css=css) as demo:
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gr.Markdown("# Stable Cascade ```DEMO```")
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with gr.Row():
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prompt = gr.Textbox(show_label=False, placeholder="Enter your prompt", max_lines=3, lines=1, interactive=True, scale=20)
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button = gr.Button(value="Generate", scale=1)
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with gr.Accordion("Advanced options", open=False):
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with gr.Row():
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negative = gr.Textbox(show_label=False, placeholder="Enter a negative", max_lines=2, lines=1, interactive=True)
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with gr.Row():
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width = gr.Slider(label="Width", minimum=1024, maximum=2048, step=8, value=1024, interactive=True)
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height = gr.Slider(label="Height", minimum=1024, maximum=2048, step=8, value=1024, interactive=True)
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with gr.Row()
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gallery = gr.Gallery(show_label=False, rows=1, columns=1)
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button.click(gen, inputs=[prompt, negative, width, height], outputs=gallery)
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demo.launch(show_api=False)
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