Create app.py
Browse files
app.py
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import os
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import gradio as gr
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import torch
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from torch import autocast
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from kandinsky2 import get_kandinsky2
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import multiprocessing as mp
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device = torch.device('cpu')
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from kandinsky2 import get_kandinsky2
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model = get_kandinsky2('cpu', task_type='text2img', model_version='2.1', use_flash_attention=False)
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def infer(args):
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prompt, negative = args
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with torch.no_grad():
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images = model.generate_text2img(prompt,
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negative_prior_prompt=negative,
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negative_decoder_prompt=negative,
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num_steps=50,
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batch_size=1,
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guidance_scale=4,
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h=768, w=768,
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sampler='ddim_sampler',
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prior_cf_scale=1,
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prior_steps="25",)
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return images
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def run_inference(prompt, negative):
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args = [(prompt, negative) for i in range(2)]
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with mp.Pool(2) as p:
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results = p.map(infer, args)
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return results[0]
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css = """
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.gradio-container {
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font-family: 'IBM Plex Sans', sans-serif;
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}
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.gr-button {
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color: white;
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border-color: black;
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background: black;
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}
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input[type='range'] {
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accent-color: black;
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}
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.dark input[type='range'] {
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accent-color: #dfdfdf;
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}
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.container {
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max-width: 730px;
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margin: auto;
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padding-top: 1.5rem;
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}
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#gallery {
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min-height: 22rem;
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margin-bottom: 15px;
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margin-left: auto;
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margin-right: auto;
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border-bottom-right-radius: .5rem !important;
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border-bottom-left-radius: .5rem !important;
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}
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#gallery>div>.h-full {
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min-height: 20rem;
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}
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.details:hover {
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text-decoration: underline;
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}
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.gr-button {
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white-space: nowrap;
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}
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.gr-button:focus {
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border-color: rgb(147 197 253 / var(--tw-border-opacity));
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outline: none;
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box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
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--tw-border-opacity: 1;
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--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
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--tw-ring-shadow: var(--tw-ring-inset) 0 0
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