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| 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(prompt_text + " ") | |
| else: | |
| return text_gen("") | |
| proc1=gr.Interface.load("models/Yntec/DreamAnything") | |
| 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 | |
| #Don't add noise to the first picture no matter what (the point of noise is to get varied outputs, the first one doesn't need to vary about anything) | |
| def noadd_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) | |
| #normal behavior | |
| 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(['😍', 'beautiful', '😂', '🤔', '😊', '🤗', '😭', '🙄', 'pretty', '🤯', '🤫', '🥴', 'sitting', '🤩', '🥳', '😔', '😩', '🤪', '😇', 'retro', '😈', '👹', 'masterpiece', '🤖', '👽', 'high quality', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', 'visible', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', 'cute', 'kawaii', 'little']) | |
| 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 = noadd_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 | |
| def send_it5(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) | |
| output5 = proc1(prompt_with_noise) | |
| return output5 | |
| 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 Anime 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(): | |
| #Now that the first box generates a picture with noise=0 having the default at 0 makes no sense as it'd generate the same image 6 times. | |
| noise_level = gr.Slider(minimum=0.1, maximum=3, step=0.1, label="Noise Level (0 was generating the same pic 6 times! 🤣)") | |
| with gr.Row(): | |
| with gr.Row(): | |
| output1=gr.Image(label="Dreamlike Anime 1.0",show_label=False) | |
| output2=gr.Image(label="Dreamlike Anime 1.0",show_label=False) | |
| with gr.Row(): | |
| with gr.Row(): | |
| output3=gr.Image(label="Dreamlike Anime 1.0",show_label=False) | |
| output4=gr.Image(label="Dreamlike Anime 1.0",show_label=False) | |
| with gr.Row(): | |
| with gr.Row(): | |
| output5=gr.Image(label="Dreamlike Anime 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]) | |
| run.click(send_it3, inputs=[prompt, noise_level], outputs=[output3]) | |
| run.click(send_it4, inputs=[prompt, noise_level], outputs=[output4]) | |
| run.click(send_it5, inputs=[prompt, noise_level], outputs=[output5]) | |
| with gr.Row(): | |
| gr.HTML( | |
| """ | |
| <div class="footer"> | |
| <p> Demo for <a href="https://huggingface.co/dreamlike-art/dreamlike-anime-1.0">Dreamlike Anime 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) | |