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