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-photoreal-2.0') # 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) logging.info('Restarting') 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 4 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( '''

Dreamlike PhotoReal 2.0 (x4)

Dreamlike PhotoReal 2.0 - running on CPU⚡ 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, created by Phenomenon1981.

⚡ Press the Like Button if you enjoy this space! ⚡

''' ) 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 PhotoReal 2.0',show_label=True) Output2=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False) Output3=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False) Output4=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False) #Output5=App.Image(label='Dreamlike PhotoReal 2.0',show_label=True) #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( '''

Demo for Dreamlike PhotoReal 2.0 Stable Diffusion model

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!

''' ) logging.info('Using Demo With 200 Concurrency Count') demo.launch(enable_queue=True, inline=True, share=False) block.queue(concurrency_count=300)