Duplicate from Hyphonical/Dreamlike-Grouped

Co-authored-by: Joris Nys <Hyphonical@users.noreply.huggingface.co>

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+title: DreamlikeArt-Diffusion 1.0
+emoji: 🧘🏻‍♂️
+colorFrom: blue
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.16.1
+app_file: app.py
+pinned: false
+duplicated_from: Hyphonical/Dreamlike-Grouped
+---
+---
+title: DreamlikeArt-Diffusion .0
+emoji: 🧘🏻‍♂️
+colorFrom: blue
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.16.1
+app_file: app.py

app.py

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+import os, sys, random, string, time, logging
+from threading import Thread
+from pathlib import Path
+from queue import Queue
+import gradio as App
+
+logging.basicConfig(level=logging.INFO, format=f'[%(asctime)s] %(message)s', datefmt='%H:%M:%S')
+
+logging.info('Starting Dreamlike Grouped')
+
+logging.info('Loading MagicPrompt')
+MagicPrompt=App.Interface.load('spaces/phenomenon1981/MagicPrompt-Stable-Diffusion')
+def get_prompts(prompt_text):
+    if prompt_text:
+        return MagicPrompt('dreamlikeart, ' + prompt_text)
+    else:
+        return MagicPrompt('')
+logging.info('loading Dreamlike Diffusion')
+DreamDiffusion=App.Interface.load('models/dreamlike-art/dreamlike-diffusion-1.0') # Credits to Dreamlike
+logging.info('Loading Dreamlike PhotoReal')
+DreamPhotoReal = DreamDiffusion
+# DreamPhotoReal=App.Interface.load('models/dreamlike-art/dreamlike-photoreal-2.0') # Credits to Dreamlike
+
+def RestartScript():
+    while True:
+        RandomTime = random.randint(540, 600)
+        time.sleep(RandomTime)
+        os.execl(sys.executable, sys.executable, *sys.argv)
+
+logging.info('Starting Auto-Restarter')
+RestartThread = Thread(target=RestartScript, daemon=True)
+RestartThread.start()
+
+queue = Queue()
+queue_threshold = 100
+
+def AddNoise(Prompt, NoiseLevel=0.00):
+    if NoiseLevel == 0:
+        NoiseLevel = 0.00
+    PercentageNoise = NoiseLevel * 5
+    NumberNoiseCharacters = int(len(Prompt) * (PercentageNoise/100))
+    NoiseIndices = random.sample(range(len(Prompt)), NumberNoiseCharacters)
+    PromptList = list(Prompt)
+    NoiseCharacters = list(string.ascii_letters + string.punctuation + ' ' + string.digits)
+    NoiseCharacters.extend(['😍', '💩', '😂', '🤔', '😊', '🤗', '😭', '🙄', '😷', '🤯', '🤫', '🥴', '😴', '🤩', '🥳', '😔', '😩', '🤪', '😇', '🤢', '😈', '👹', '👻', '🤖', '👽', '💀', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', '🐭', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', '🌈'])
+    for Index in NoiseIndices:
+        PromptList[Index] = random.choice(NoiseCharacters)
+    return ''.join(PromptList)
+
+def GetRandomPrompt():
+    with open('Prompts.txt', 'r') as Prompts:
+        Prompts = Prompts.readlines()
+        return random.choice(Prompts)
+
+def SendIt1(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
+    logging.info('Creating Image On 8 Threads')
+    logging.info(f'Using Prompt: {Inputs}')
+    logging.info('Creating Image On Thread 1')
+    NoisedPrompt = AddNoise(Inputs, NoiseLevel)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(NoisedPrompt)
+    Output1 = DreamDiffusion(NoisedPrompt)
+    logging.info('Done Creating Image On Thread 1')
+    return Output1
+
+def SendIt2(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
+    logging.info('Creating Image On Thread 2')
+    NoisedPrompt = AddNoise(Inputs, NoiseLevel)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(NoisedPrompt)
+    Output2 = DreamDiffusion(NoisedPrompt)
+    logging.info('Done Creating Image On Thread 2')
+    return Output2
+
+def SendIt3(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
+    logging.info('Creating Image On Thread 3')
+    NoisedPrompt = AddNoise(Inputs, NoiseLevel)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(NoisedPrompt)
+    Output3 = DreamDiffusion(NoisedPrompt)
+    logging.info('Done Creating Image On Thread 3')
+    return Output3
+
+def SendIt4(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
+    logging.info('Creating Image On Thread 4')
+    NoisedPrompt = AddNoise(Inputs, NoiseLevel)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(NoisedPrompt)
+    Output4 = DreamDiffusion(NoisedPrompt)
+    logging.info('Done Creating Image On Thread 4')
+    return Output4
+
+def SendIt5(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
+    logging.info('Creating Image On Thread 5')
+    NoisedPrompt = AddNoise(Inputs, NoiseLevel)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(NoisedPrompt)
+    Output5 = DreamPhotoReal(NoisedPrompt)
+    logging.info('Done Creating Image On Thread 5')
+    return Output5
+
+def SendIt6(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
+    logging.info('Creating Image On Thread 6')
+    NoisedPrompt = AddNoise(Inputs, NoiseLevel)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(NoisedPrompt)
+    Output6 = DreamPhotoReal(NoisedPrompt)
+    logging.info('Done Creating Image On Thread 6')
+    return Output6
+
+def SendIt7(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
+    logging.info('Creating Image On Thread 7')
+    NoisedPrompt = AddNoise(Inputs, NoiseLevel)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(NoisedPrompt)
+    Output7 = DreamPhotoReal(NoisedPrompt)
+    logging.info('Done Creating Image On Thread 7')
+    return Output7
+
+def SendIt8(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
+    logging.info('Creating Image On Thread 8')
+    NoisedPrompt = AddNoise(Inputs, NoiseLevel)
+    while queue.qsize() >= queue_threshold:
+        time.sleep(2)
+    queue.put(NoisedPrompt)
+    Output8 = DreamPhotoReal(NoisedPrompt)
+    logging.info('Done Creating Image On Thread 8')
+    return Output8
+
+logging.info('Loading Interface')
+with App.Blocks(css='style.css') as demo:
+    App.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 Appouped
+                </h1>
+              </div>
+              <p style='margin-bottom: 10px; font-size: 96%'>
+              Dreamlike Diffusion 1.0 | Dreamlike PhotoReal 2.0
+              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 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 App.Column(elem_id='col-container'):
+        with App.Row(variant='compact'):
+            input_text = App.Textbox(
+                label='Short Prompt',
+                show_label=False,
+                max_lines=4,
+                placeholder='Enter a basic idea and click "Magic Prompt". Got no ideas? No problem, Simply just hit the magic button!',
+            ).style(
+                container=False,
+            )
+            output_prompt = App.Textbox(
+                label='Random Prompt',
+                show_label=False,
+                max_lines=4,
+                placeholder='Click "Random Prompt" to get a random prompt from a list!',
+            ).style(
+                container=False,
+            )
+            SeePrompts = App.Button('✨ Magic Prompt ✨').style(full_width=False)
+            RandomPrompt = App.Button('🔄️ Random Prompt 🔄️').style(full_width=False)
+
+        
+        with App.Row(variant='compact'):
+            prompt = App.Textbox(
+                label='Enter your prompt',
+                show_label=False,
+                max_lines=4,
+                placeholder='Full Prompt',
+            ).style(
+                container=False,
+            )
+            Run = App.Button('Generate Images').style(full_width=False)
+        
+        with App.Row():
+            with App.Row():
+                NoiseLevel = App.Slider(minimum=0.1, maximum=3, step=0.1, label='Noise Level', value=0.5)
+
+        with App.Row():
+            with App.Row():
+                Output1=App.Image(label='Dreamlike Diffusion 1.0',show_label=True)
+                Output2=App.Image(label='Dreamlike Diffusion 1.0',show_label=False)
+                Output3=App.Image(label='Dreamlike Diffusion 1.0',show_label=False)
+                Output4=App.Image(label='Dreamlike Diffusion 1.0',show_label=False)
+                Output5=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False)
+                Output6=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False)
+                Output7=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False)
+                Output8=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False)
+        
+
+        SeePrompts.click(get_prompts, inputs=[input_text], outputs=[prompt], queue=False)
+        RandomPrompt.click(GetRandomPrompt, outputs=[prompt], queue=False)
+        Run.click(SendIt1, inputs=[prompt, NoiseLevel], outputs=[Output1])
+        Run.click(SendIt2, inputs=[prompt, NoiseLevel], outputs=[Output2])
+        Run.click(SendIt3, inputs=[prompt, NoiseLevel], outputs=[Output3])
+        Run.click(SendIt4, inputs=[prompt, NoiseLevel], outputs=[Output4])
+        Run.click(SendIt5, inputs=[prompt, NoiseLevel], outputs=[Output5])
+        Run.click(SendIt6, inputs=[prompt, NoiseLevel], outputs=[Output6])
+        Run.click(SendIt7, inputs=[prompt, NoiseLevel], outputs=[Output7])
+        Run.click(SendIt8, inputs=[prompt, NoiseLevel], outputs=[Output8])
+
+
+        with App.Row():
+                App.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> Demo for <a href='https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0'>Dreamlike PhotoReal 2.0</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>
+    '''
+)
+
+    logging.info('Using Demo With 200 Concurrency Count')
+    demo.launch(enable_queue=True, inline=True, share=False)
+    block.queue(concurrency_count=300)

requirements.txt

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+accelerate==0.12.0
+gradio
+xformers
+parallel-execute

style.css

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+#col-container {
+    max-width: 800px;
+    margin-left: auto;
+    margin-right: auto;
+}
+a {
+    color: inherit;
+    text-decoration: underline;
+}
+.gradio-container {
+    font-family: 'IBM Plex Sans', sans-serif;
+}
+.gr-button {
+    color: white;
+    border-color: #9d66e5;
+    background: #9d66e5;
+}
+input[type='range'] {
+    accent-color: #9d66e5;
+}
+.dark input[type='range'] {
+    accent-color: #dfdfdf;
+}
+.container {
+    max-width: 800px;
+    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-options {
+    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 .logo{ filter: invert(1); }
+.dark .footer {
+    border-color: #303030;
+}
+.dark .footer>p {
+    background: #0b0f19;
+}
+.acknowledgments h4{
+    margin: 1.25em 0 .25em 0;
+    font-weight: bold;
+    font-size: 115%;
+}
+