Dao3's picture
Update app.py
afe73e1
raw
history blame
6.73 kB
import gradio as gr
import os
import sys
from pathlib import Path
import random
import string
import time
from queue import Queue
from threading import Thread
import emoji
text_gen=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")
def get_prompts(prompt_text):
if prompt_text:
return text_gen("photo, " + prompt_text)
else:
return text_gen("")
proc1=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
def restart_script_periodically():
while True:
random_time = random.randint(540, 600)
time.sleep(random_time)
os.execl(sys.executable, sys.executable, *sys.argv)
restart_thread = Thread(target=restart_script_periodically, daemon=True)
restart_thread.start()
queue = Queue()
queue_threshold = 100
def add_random_noise(prompt, noise_level=0.00):
if noise_level == 0:
noise_level = 0.00
percentage_noise = noise_level * 5
num_noise_chars = int(len(prompt) * (percentage_noise/100))
noise_indices = random.sample(range(len(prompt)), num_noise_chars)
prompt_list = list(prompt)
noise_chars = list(string.ascii_letters + string.punctuation + ' ' + string.digits)
noise_chars.extend(['😍', '💩', '😂', '🤔', '😊', '🤗', '😭', '🙄', '😷', '🤯', '🤫', '🥴', '😴', '🤩', '🥳', '😔', '😩', '🤪', '😇', '🤢', '😈', '👹', '👻', '🤖', '👽', '💀', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', '🐭', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', '🌈'])
for index in noise_indices:
prompt_list[index] = random.choice(noise_chars)
return "".join(prompt_list)
def send_it1(inputs, noise_level, proc1=proc1):
prompt_with_noise = add_random_noise(inputs, noise_level)
while queue.qsize() >= queue_threshold:
time.sleep(2)
queue.put(prompt_with_noise)
output1 = proc1(prompt_with_noise)
return output1
def send_it2(inputs, noise_level, proc1=proc1):
prompt_with_noise = add_random_noise(inputs, noise_level)
while queue.qsize() >= queue_threshold:
time.sleep(2)
queue.put(prompt_with_noise)
output2 = proc1(prompt_with_noise)
return output2
#def send_it3(inputs, noise_level, proc1=proc1):
#prompt_with_noise = add_random_noise(inputs, noise_level)
#while queue.qsize() >= queue_threshold:
#time.sleep(2)
#queue.put(prompt_with_noise)
#output3 = proc1(prompt_with_noise)
#return output3
#def send_it4(inputs, noise_level, proc1=proc1):
#prompt_with_noise = add_random_noise(inputs, noise_level)
#while queue.qsize() >= queue_threshold:
#time.sleep(2)
#queue.put(prompt_with_noise)
#output4 = proc1(prompt_with_noise)
#return output4
with gr.Blocks(css='style.css') as demo:
gr.HTML(
"""
<div style="text-align: center; max-width: 650px; margin: 0 auto;">
<div>
<h2 style="font-weight: 900; font-size: 3rem; margin-bottom:20px;">
幻梦成真-2.0
</h2>
</div>
<p style="margin-bottom: 10px; font-size: 96%">
差异程度: 用数值调节两张图的差异程度。数值越大,两张图的差异越大,反之越小。
</p>
<p style="margin-bottom: 10px; font-size: 98%">
❤️ Press the Like Button if you enjoy my space! ❤️</a>
</p>
</div>
"""
)
with gr.Column(elem_id="col-container"):
with gr.Row(variant="compact"):
input_text = gr.Textbox(
label="Short Prompt",
show_label=False,
max_lines=2,
placeholder="输入你的想象(英文词汇),然后按右边按钮。没灵感?直接按!",
).style(
container=False,
)
see_prompts = gr.Button("✨ 咒语显现 ✨").style(full_width=False)
with gr.Row(variant="compact"):
prompt = gr.Textbox(
label="输入描述词",
show_label=False,
max_lines=2,
placeholder="可输入完整描述词,或者用咒语显现按钮生成",
).style(
container=False,
)
run = gr.Button("✨ 幻梦成真✨").style(full_width=False)
with gr.Row():
with gr.Row():
noise_level = gr.Slider(minimum=0.0, maximum=3, step=0.1, label="差异程度")
with gr.Row():
with gr.Row():
output1=gr.Image(label="Dreamlike-photoreal-2.0",show_label=False)
output2=gr.Image(label="Dreamlike-photoreal-2.0",show_label=False)
#with gr.Row():
#output1=gr.Image()
see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt], queue=False)
run.click(send_it1, inputs=[prompt, noise_level], outputs=[output1])
run.click(send_it2, inputs=[prompt, noise_level], outputs=[output2])
with gr.Row():
gr.HTML(
"""
<div class="footer">
<p>
使用了<a href="https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0">Dreamlike Photoreal 2.0</a> 制作的sd模型, <a href="https://twitter.com/DavidJohnstonxx/">本案例最初作者Phenomenon1981</a>
</p>
</div>
<div class="acknowledgments" style="font-size: 115%">
<p> 使用方法1:第一个输入框内输入一个或几个英文单词,用英文逗号,隔开,点第一个按钮,第二个输入框就会生成更丰富的一组词语,再按第二个按钮,下面会生成两张一样的图像。如果提前把差异程度的往右拉,两张图会出现或大或小的差异。
</p>
</div>
<div class="acknowledgments" style="font-size: 115%">
<p> 使用方法2:直接在第二个输入框内输入(或者从其他地方复制黏贴)一组英文单词,直接按下第二个按钮,下面会生成两张一样的图像。如果提前把差异程度的往右拉,两张图会出现或大或小的差异。
</p>
</div>
"""
)
demo.launch(enable_queue=True, inline=True)
block.queue(concurrency_count=100)