|
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("models/Gustavosta/MagicPrompt-Stable-Diffusion") |
|
def get_prompts(prompt_text): |
|
if prompt_text: |
|
return text_gen("dreamlikeart, " + prompt_text) |
|
else: |
|
return text_gen("") |
|
proc1=gr.Interface.load("models/dreamlike-art/dreamlike-diffusion-1.0") |
|
|
|
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 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
with gr.Blocks(css='style.css') as demo: |
|
gr.HTML( |
|
""" |
|
<div style="text-align: center; max-width: 650px; margin: 0 auto;"> |
|
<div> |
|
<h1 style="font-weight: 900; font-size: 3rem; margin-bottom:20px;"> |
|
Dreamlike Diffusion 1.0 |
|
</h1> |
|
</div> |
|
<p style="margin-bottom: 10px; font-size: 96%"> |
|
Noise Level: Controls how much randomness is added to the input before it is sent to the model. Higher noise level produces more diverse outputs, while lower noise level produces similar outputs, |
|
<a href="https://twitter.com/DavidJohnstonxx/">created by Phenomenon1981</a>. |
|
</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="Enter a basic idea and click 'Magic Prompt'. Got no ideas? No problem, Simply just hit the magic button!", |
|
).style( |
|
container=False, |
|
) |
|
see_prompts = gr.Button("✨ Magic Prompt ✨").style(full_width=False) |
|
|
|
|
|
with gr.Row(variant="compact"): |
|
prompt = gr.Textbox( |
|
label="Enter your prompt", |
|
show_label=False, |
|
max_lines=2, |
|
placeholder="Full Prompt", |
|
).style( |
|
container=False, |
|
) |
|
run = gr.Button("Generate Images").style(full_width=False) |
|
|
|
with gr.Row(): |
|
with gr.Row(): |
|
noise_level = gr.Slider(minimum=0.0, maximum=3, step=0.1, label="Noise Level") |
|
with gr.Row(): |
|
with gr.Row(): |
|
output1=gr.Image(label="Dreamlike Diffusion 1.0",show_label=False) |
|
output2=gr.Image(label="Dreamlike Diffusion 1.0",show_label=False) |
|
|
|
|
|
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> Demo for <a href="https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0">Dreamlike Diffusion 1.0</a> Stable Diffusion model |
|
</p> |
|
</div> |
|
<div class="acknowledgments" style="font-size: 115%"> |
|
<p> Unleash your creative side and generate mesmerizing images with just a few clicks! Enter a spark of inspiration in the "Basic Idea" text box and click the "Magic Prompt" button to elevate it to a polished masterpiece. Make any final tweaks in the "Full Prompt" box and hit the "Generate Images" button to watch your vision come to life. Experiment with the "Noise Level" for a diverse range of outputs, from similar to wildly unique. Let the fun begin! |
|
</p> |
|
</div> |
|
""" |
|
) |
|
|
|
demo.launch(enable_queue=True, inline=True) |
|
block.queue(concurrency_count=100) |
