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Duplicate from phenomenon1981/DreamlikeArt-Diffusion-1.0

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Co-authored-by: Dee Jay <phenomenon1981@users.noreply.huggingface.co>

Files changed (5) hide show
  1. .gitattributes +34 -0
  2. README.md +19 -0
  3. app.py +154 -0
  4. requirements.txt +4 -0
  5. style.css +84 -0
.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ title: DreamlikeArt-Diffusion 1.0
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+ emoji: 🧘🏻‍♂️
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+ colorFrom: blue
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+ colorTo: yellow
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+ sdk: gradio
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+ sdk_version: 3.16.1
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+ app_file: app.py
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+ pinned: false
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+ duplicated_from: phenomenon1981/DreamlikeArt-Diffusion-1.0
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+ ---
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+ ---
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+ title: DreamlikeArt-Diffusion .0
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+ emoji: 🧘🏻‍♂️
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+ colorFrom: blue
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+ colorTo: yellow
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+ sdk: gradio
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+ sdk_version: 3.16.1
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+ app_file: app.py
app.py ADDED
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+ import gradio as gr
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+ import os
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+ import sys
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+ from pathlib import Path
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+ import random
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+ import string
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+ import time
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+ from queue import Queue
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+ from threading import Thread
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+ import emoji
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+
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+ text_gen=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion")
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+ def get_prompts(prompt_text):
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+ if prompt_text:
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+ return text_gen("dreamlikeart, " + prompt_text)
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+ else:
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+ return text_gen("")
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+ proc1=gr.Interface.load("models/dreamlike-art/dreamlike-diffusion-1.0")
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+
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+ def restart_script_periodically():
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+ while True:
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+ random_time = random.randint(540, 600)
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+ time.sleep(random_time)
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+ os.execl(sys.executable, sys.executable, *sys.argv)
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+
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+
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+ restart_thread = Thread(target=restart_script_periodically, daemon=True)
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+ restart_thread.start()
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+
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+
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+ queue = Queue()
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+ queue_threshold = 100
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+
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+ def add_random_noise(prompt, noise_level=0.00):
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+ if noise_level == 0:
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+ noise_level = 0.00
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+ percentage_noise = noise_level * 5
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+ num_noise_chars = int(len(prompt) * (percentage_noise/100))
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+ noise_indices = random.sample(range(len(prompt)), num_noise_chars)
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+ prompt_list = list(prompt)
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+ noise_chars = list(string.ascii_letters + string.punctuation + ' ' + string.digits)
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+ noise_chars.extend(['😍', '💩', '😂', '🤔', '😊', '🤗', '😭', '🙄', '😷', '🤯', '🤫', '🥴', '😴', '🤩', '🥳', '😔', '😩', '🤪', '😇', '🤢', '😈', '👹', '👻', '🤖', '👽', '💀', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', '🐭', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', '🌈'])
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+ for index in noise_indices:
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+ prompt_list[index] = random.choice(noise_chars)
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+ return "".join(prompt_list)
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+
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+
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+
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+ def send_it1(inputs, noise_level, proc1=proc1):
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+ prompt_with_noise = add_random_noise(inputs, noise_level)
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+ while queue.qsize() >= queue_threshold:
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+ time.sleep(2)
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+ queue.put(prompt_with_noise)
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+ output1 = proc1(prompt_with_noise)
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+ return output1
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+
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+ def send_it2(inputs, noise_level, proc1=proc1):
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+ prompt_with_noise = add_random_noise(inputs, noise_level)
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+ while queue.qsize() >= queue_threshold:
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+ time.sleep(2)
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+ queue.put(prompt_with_noise)
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+ output2 = proc1(prompt_with_noise)
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+ return output2
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+
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+ #def send_it3(inputs, noise_level, proc1=proc1):
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+ #prompt_with_noise = add_random_noise(inputs, noise_level)
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+ #while queue.qsize() >= queue_threshold:
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+ #time.sleep(2)
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+ #queue.put(prompt_with_noise)
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+ #output3 = proc1(prompt_with_noise)
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+ #return output3
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+
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+ #def send_it4(inputs, noise_level, proc1=proc1):
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+ #prompt_with_noise = add_random_noise(inputs, noise_level)
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+ #while queue.qsize() >= queue_threshold:
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+ #time.sleep(2)
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+ #queue.put(prompt_with_noise)
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+ #output4 = proc1(prompt_with_noise)
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+ #return output4
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+
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+
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+ with gr.Blocks(css='style.css') as demo:
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+ gr.HTML(
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+ """
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+ <div style="text-align: center; max-width: 650px; margin: 0 auto;">
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+ <div>
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+ <h1 style="font-weight: 900; font-size: 3rem; margin-bottom:20px;">
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+ Dreamlike Diffusion 1.0
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+ </h1>
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+ </div>
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+ <p style="margin-bottom: 10px; font-size: 96%">
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+ 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,
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+ <a href="https://twitter.com/DavidJohnstonxx/">created by Phenomenon1981</a>.
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+ </p>
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+ <p style="margin-bottom: 10px; font-size: 98%">
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+ ❤️ Press the Like Button if you enjoy my space! ❤️</a>
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+ </p>
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+ </div>
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+ """
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+ )
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+ with gr.Column(elem_id="col-container"):
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+ with gr.Row(variant="compact"):
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+ input_text = gr.Textbox(
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+ label="Short Prompt",
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+ show_label=False,
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+ max_lines=2,
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+ placeholder="Enter a basic idea and click 'Magic Prompt'. Got no ideas? No problem, Simply just hit the magic button!",
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+ ).style(
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+ container=False,
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+ )
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+ see_prompts = gr.Button("✨ Magic Prompt ✨").style(full_width=False)
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+
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+
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+ with gr.Row(variant="compact"):
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+ prompt = gr.Textbox(
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+ label="Enter your prompt",
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+ show_label=False,
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+ max_lines=2,
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+ placeholder="Full Prompt",
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+ ).style(
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+ container=False,
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+ )
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+ run = gr.Button("Generate Images").style(full_width=False)
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+
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+ with gr.Row():
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+ with gr.Row():
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+ noise_level = gr.Slider(minimum=0.0, maximum=3, step=0.1, label="Noise Level")
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+ with gr.Row():
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+ with gr.Row():
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+ output1=gr.Image(label="Dreamlike Diffusion 1.0",show_label=False)
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+ output2=gr.Image(label="Dreamlike Diffusion 1.0",show_label=False)
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+
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+
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+ see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt], queue=False)
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+ run.click(send_it1, inputs=[prompt, noise_level], outputs=[output1])
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+ run.click(send_it2, inputs=[prompt, noise_level], outputs=[output2])
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+
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+
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+ with gr.Row():
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+ gr.HTML(
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+ """
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+ <div class="footer">
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+ <p> Demo for <a href="https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0">Dreamlike Diffusion 1.0</a> Stable Diffusion model
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+ </p>
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+ </div>
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+ <div class="acknowledgments" style="font-size: 115%">
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+ <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!
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+ </p>
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+ </div>
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+ """
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+ )
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+
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+ demo.launch(enable_queue=True, inline=True)
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+ block.queue(concurrency_count=100)
requirements.txt ADDED
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+ accelerate==0.12.0
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+ gradio
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+ xformers
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+ emoji
style.css ADDED
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+ #col-container {
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+ max-width: 800px;
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+ margin-left: auto;
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+ margin-right: auto;
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+ }
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+ a {
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+ color: inherit;
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+ text-decoration: underline;
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+ }
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+ .gradio-container {
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+ font-family: 'IBM Plex Sans', sans-serif;
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+ }
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+ .gr-button {
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+ color: white;
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+ border-color: #9d66e5;
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+ background: #9d66e5;
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+ }
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+ input[type='range'] {
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+ accent-color: #9d66e5;
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+ }
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+ .dark input[type='range'] {
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+ accent-color: #dfdfdf;
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+ }
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+ .container {
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+ max-width: 800px;
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+ margin: auto;
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+ padding-top: 1.5rem;
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+ }
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+ #gallery {
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+ min-height: 22rem;
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+ margin-bottom: 15px;
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+ margin-left: auto;
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+ margin-right: auto;
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+ border-bottom-right-radius: .5rem !important;
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+ border-bottom-left-radius: .5rem !important;
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+ }
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+ #gallery>div>.h-full {
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+ min-height: 20rem;
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+ }
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+ .details:hover {
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+ text-decoration: underline;
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+ }
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+ .gr-button {
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+ white-space: nowrap;
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+ }
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+ .gr-button:focus {
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+ border-color: rgb(147 197 253 / var(--tw-border-opacity));
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+ outline: none;
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+ box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
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+ --tw-border-opacity: 1;
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+ --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
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+ --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
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+ --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
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+ --tw-ring-opacity: .5;
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+ }
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+ #advanced-options {
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+ margin-bottom: 20px;
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+ }
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+ .footer {
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+ margin-bottom: 45px;
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+ margin-top: 35px;
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+ text-align: center;
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+ border-bottom: 1px solid #e5e5e5;
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+ }
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+ .footer>p {
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+ font-size: .8rem;
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+ display: inline-block;
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+ padding: 0 10px;
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+ transform: translateY(10px);
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+ background: white;
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+ }
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+ .dark .logo{ filter: invert(1); }
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+ .dark .footer {
74
+ border-color: #303030;
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+ }
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+ .dark .footer>p {
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+ background: #0b0f19;
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+ }
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+ .acknowledgments h4{
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+ margin: 1.25em 0 .25em 0;
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+ font-weight: bold;
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+ font-size: 115%;
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+ }
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+