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import gradio as gr | |
from PIL import Image | |
import io | |
import os | |
import warnings | |
import torch | |
import numpy as np | |
from diffusers import DiffusionPipeline | |
from huggingface_hub import login | |
import os | |
login(token=os.environ.get('HF_KEY')) | |
# theme = gr.themes.Monochrome( | |
# primary_hue="indigo", | |
# secondary_hue="blue", | |
# neutral_hue="slate", | |
# radius_size=gr.themes.sizes.radius_sm, | |
# font=[gr.themes.GoogleFont("Open Sans"), "ui-sans-serif", "system-ui", "sans-serif"], | |
# ) | |
device = 'cpu' | |
seed = 10000 | |
torch.cuda.max_memory_allocated(device='cpu') | |
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", use_safetensors=True) | |
pipe = pipe.to(device) | |
# pipe.enable_xformers_memory_efficient_attention() | |
# torch.cuda.empty_cache() | |
generator = torch.Generator(device=device).manual_seed(seed) | |
def infer(prompt): | |
int_image = pipe(prompt,num_images_per_prompt=1, generator=generator).images | |
torch.cuda.empty_cache() | |
return int_image | |
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 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); | |
--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); | |
--tw-ring-opacity: .5; | |
} | |
#advanced-btn { | |
font-size: .7rem !important; | |
line-height: 19px; | |
margin-top: 12px; | |
margin-bottom: 12px; | |
padding: 2px 8px; | |
border-radius: 14px !important; | |
} | |
#advanced-options { | |
display: none; | |
margin-bottom: 20px; | |
} | |
.footer { | |
margin-bottom: 45px; | |
margin-top: 35px; | |
text-align: center; | |
border-bottom: 1px solid #e5e5e5; | |
} | |
.footer>p { | |
font-size: .8rem; | |
display: inline-block; | |
padding: 0 10px; | |
transform: translateY(10px); | |
background: white; | |
} | |
.dark .footer { | |
border-color: #303030; | |
} | |
.dark .footer>p { | |
background: #0b0f19; | |
} | |
.acknowledgments h4{ | |
margin: 1.25em 0 .25em 0; | |
font-weight: bold; | |
font-size: 115%; | |
} | |
.animate-spin { | |
animation: spin 1s linear infinite; | |
} | |
@keyframes spin { | |
from { | |
transform: rotate(0deg); | |
} | |
to { | |
transform: rotate(360deg); | |
} | |
} | |
#share-btn-container { | |
display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem; | |
margin-top: 10px; | |
margin-left: auto; | |
} | |
#share-btn { | |
all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0; | |
} | |
#share-btn * { | |
all: unset; | |
} | |
#share-btn-container div:nth-child(-n+2){ | |
width: auto !important; | |
min-height: 0px !important; | |
} | |
#share-btn-container .wrap { | |
display: none !important; | |
} | |
.gr-form{ | |
flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0; | |
} | |
#prompt-container{ | |
gap: 0; | |
} | |
#prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem} | |
#component-16{border-top-width: 1px!important;margin-top: 1em} | |
.image_duplication{position: absolute; width: 100px; left: 50px} | |
""" | |
with gr.Blocks(css = css) as demo: | |
gr.HTML( | |
""" | |
<div style="text-align: center; margin: 0 auto;"> | |
<div | |
style=" | |
display: inline-flex; | |
align-items: center; | |
gap: 0.8rem; | |
font-size: 1.75rem; | |
" | |
> | |
<svg | |
width="0.65em" | |
height="0.65em" | |
viewBox="0 0 115 115" | |
fill="none" | |
xmlns="http://www.w3.org/2000/svg" | |
> | |
<rect width="23" height="23" fill="white"></rect> | |
<rect y="69" width="23" height="23" fill="white"></rect> | |
<rect x="23" width="23" height="23" fill="#AEAEAE"></rect> | |
<rect x="23" y="69" width="23" height="23" fill="#AEAEAE"></rect> | |
<rect x="46" width="23" height="23" fill="white"></rect> | |
<rect x="46" y="69" width="23" height="23" fill="white"></rect> | |
<rect x="69" width="23" height="23" fill="black"></rect> | |
<rect x="69" y="69" width="23" height="23" fill="black"></rect> | |
<rect x="92" width="23" height="23" fill="#D9D9D9"></rect> | |
<rect x="92" y="69" width="23" height="23" fill="#AEAEAE"></rect> | |
<rect x="115" y="46" width="23" height="23" fill="white"></rect> | |
<rect x="115" y="115" width="23" height="23" fill="white"></rect> | |
<rect x="115" y="69" width="23" height="23" fill="#D9D9D9"></rect> | |
<rect x="92" y="46" width="23" height="23" fill="#AEAEAE"></rect> | |
<rect x="92" y="115" width="23" height="23" fill="#AEAEAE"></rect> | |
<rect x="92" y="69" width="23" height="23" fill="white"></rect> | |
<rect x="69" y="46" width="23" height="23" fill="white"></rect> | |
<rect x="69" y="115" width="23" height="23" fill="white"></rect> | |
<rect x="69" y="69" width="23" height="23" fill="#D9D9D9"></rect> | |
<rect x="46" y="46" width="23" height="23" fill="black"></rect> | |
<rect x="46" y="115" width="23" height="23" fill="black"></rect> | |
<rect x="46" y="69" width="23" height="23" fill="black"></rect> | |
<rect x="23" y="46" width="23" height="23" fill="#D9D9D9"></rect> | |
<rect x="23" y="115" width="23" height="23" fill="#AEAEAE"></rect> | |
<rect x="23" y="69" width="23" height="23" fill="black"></rect> | |
</svg> | |
<h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px"> | |
Stable Diffusion XL Demo | |
</h1> | |
</div> | |
<p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;"> | |
This is an unoffical demo for Stable Diffusion XL, which is the latest stable diffusion model released by Stability AI. The main features include Next-level photorealism capabilities, image composition and face generation, use of shorter prompts to create descriptive imagery, greater capability to produce legible text and rich visuals and jaw-dropping aesthetics. Please refer to | |
<a | |
href="https://stability.ai/stable-diffusion" | |
style="text-decoration: underline;" | |
target="_blank" | |
>the official website</a | |
>.</a> for further information | |
</p> | |
</div> | |
""" | |
) | |
gr.HTML("<p>You can duplicate this Space to run it privately without a queue for shorter queue times : <a style='display:inline-block' href='https://huggingface.co/spaces/RamAnanth1/stable-diffusion-xl?duplicate=true'><img src='https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14' alt='Duplicate Space'></a> </p>") | |
with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True): | |
with gr.Column(): | |
text = gr.Textbox( | |
label="Enter your prompt", | |
show_label=False, | |
max_lines=1, | |
placeholder="Enter your prompt", | |
elem_id="prompt-text-input", | |
).style( | |
border=(True, False, True, True), | |
rounded=(True, False, False, True), | |
container=False, | |
) | |
btn = gr.Button("Generate image").style( | |
margin=False, | |
rounded=(False, True, True, False), | |
full_width=False, | |
) | |
gallery = gr.Gallery( | |
label="Generated images", show_label=False, elem_id="gallery" | |
).style(grid=[2], height="auto") | |
btn.click(infer, inputs=[text], outputs=[gallery]) | |
examples = [ | |
["Vintage hot rod with custom flame paint job"], | |
["Ancient, mysterious temple in a mountain range, surrounded by misty clouds and tall peaks"], | |
["Glimpses of a herd of wild elephants crossing a savanna"], | |
["Beautiful waterfall in a lush jungle, with sunlight shining through the trees,"] | |
] | |
ex = gr.Examples(examples=examples,inputs=[text], cache_examples=False) | |
demo.launch() |