Commit
·
cecee98
0
Parent(s):
Duplicate from Hyphonical/Dreamlike-Grouped
Browse filesCo-authored-by: Joris Nys <Hyphonical@users.noreply.huggingface.co>
- .gitattributes +34 -0
- Prompts.txt +0 -0
- README.md +19 -0
- app.py +236 -0
- requirements.txt +4 -0
- style.css +84 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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Prompts.txt
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The diff for this file is too large to render.
See raw diff
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README.md
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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: Hyphonical/Dreamlike-Grouped
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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
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app.py
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import os, sys, random, string, time, logging
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from threading import Thread
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from pathlib import Path
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from queue import Queue
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import gradio as App
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logging.basicConfig(level=logging.INFO, format=f'[%(asctime)s] %(message)s', datefmt='%H:%M:%S')
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logging.info('Starting Dreamlike Grouped')
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logging.info('Loading MagicPrompt')
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MagicPrompt=App.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 MagicPrompt('dreamlikeart, ' + prompt_text)
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else:
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return MagicPrompt('')
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logging.info('loading Dreamlike Diffusion')
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DreamDiffusion=App.Interface.load('models/dreamlike-art/dreamlike-diffusion-1.0') # Credits to Dreamlike
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logging.info('Loading Dreamlike PhotoReal')
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DreamPhotoReal = DreamDiffusion
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# DreamPhotoReal=App.Interface.load('models/dreamlike-art/dreamlike-photoreal-2.0') # Credits to Dreamlike
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def RestartScript():
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while True:
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RandomTime = random.randint(540, 600)
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time.sleep(RandomTime)
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os.execl(sys.executable, sys.executable, *sys.argv)
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logging.info('Starting Auto-Restarter')
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RestartThread = Thread(target=RestartScript, daemon=True)
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RestartThread.start()
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queue = Queue()
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queue_threshold = 100
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def AddNoise(Prompt, NoiseLevel=0.00):
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if NoiseLevel == 0:
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NoiseLevel = 0.00
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PercentageNoise = NoiseLevel * 5
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NumberNoiseCharacters = int(len(Prompt) * (PercentageNoise/100))
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NoiseIndices = random.sample(range(len(Prompt)), NumberNoiseCharacters)
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PromptList = list(Prompt)
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NoiseCharacters = list(string.ascii_letters + string.punctuation + ' ' + string.digits)
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NoiseCharacters.extend(['😍', '💩', '😂', '🤔', '😊', '🤗', '😭', '🙄', '😷', '🤯', '🤫', '🥴', '😴', '🤩', '🥳', '😔', '😩', '🤪', '😇', '🤢', '😈', '👹', '👻', '🤖', '👽', '💀', '🎃', '🎅', '🎄', '🎁', '🎂', '🎉', '🎈', '🎊', '🎮', '❤️', '💔', '💕', '💖', '💗', '🐶', '🐱', '🐭', '🐹', '🦊', '🐻', '🐨', '🐯', '🦁', '🐘', '🔥', '🌧️', '🌞', '🌈', '💥', '🌴', '🌊', '🌺', '🌻', '🌸', '🎨', '🌅', '🌌', '☁️', '⛈️', '❄️', '☀️', '🌤️', '⛅️', '🌥️', '🌦️', '🌧️', '🌩️', '🌨️', '🌫️', '☔️', '🌬️', '💨', '🌪️', '🌈'])
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for Index in NoiseIndices:
|
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PromptList[Index] = random.choice(NoiseCharacters)
|
48 |
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return ''.join(PromptList)
|
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|
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def GetRandomPrompt():
|
51 |
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with open('Prompts.txt', 'r') as Prompts:
|
52 |
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Prompts = Prompts.readlines()
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return random.choice(Prompts)
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54 |
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|
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def SendIt1(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
|
56 |
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logging.info('Creating Image On 8 Threads')
|
57 |
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logging.info(f'Using Prompt: {Inputs}')
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58 |
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logging.info('Creating Image On Thread 1')
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NoisedPrompt = AddNoise(Inputs, NoiseLevel)
|
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while queue.qsize() >= queue_threshold:
|
61 |
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time.sleep(2)
|
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queue.put(NoisedPrompt)
|
63 |
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Output1 = DreamDiffusion(NoisedPrompt)
|
64 |
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logging.info('Done Creating Image On Thread 1')
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65 |
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return Output1
|
66 |
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|
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def SendIt2(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
|
68 |
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logging.info('Creating Image On Thread 2')
|
69 |
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NoisedPrompt = AddNoise(Inputs, NoiseLevel)
|
70 |
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while queue.qsize() >= queue_threshold:
|
71 |
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time.sleep(2)
|
72 |
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queue.put(NoisedPrompt)
|
73 |
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Output2 = DreamDiffusion(NoisedPrompt)
|
74 |
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logging.info('Done Creating Image On Thread 2')
|
75 |
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return Output2
|
76 |
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|
77 |
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def SendIt3(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
|
78 |
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logging.info('Creating Image On Thread 3')
|
79 |
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NoisedPrompt = AddNoise(Inputs, NoiseLevel)
|
80 |
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while queue.qsize() >= queue_threshold:
|
81 |
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time.sleep(2)
|
82 |
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queue.put(NoisedPrompt)
|
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Output3 = DreamDiffusion(NoisedPrompt)
|
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logging.info('Done Creating Image On Thread 3')
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85 |
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return Output3
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86 |
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|
87 |
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def SendIt4(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
|
88 |
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logging.info('Creating Image On Thread 4')
|
89 |
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NoisedPrompt = AddNoise(Inputs, NoiseLevel)
|
90 |
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while queue.qsize() >= queue_threshold:
|
91 |
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time.sleep(2)
|
92 |
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queue.put(NoisedPrompt)
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93 |
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Output4 = DreamDiffusion(NoisedPrompt)
|
94 |
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logging.info('Done Creating Image On Thread 4')
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95 |
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return Output4
|
96 |
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|
97 |
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def SendIt5(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
|
98 |
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logging.info('Creating Image On Thread 5')
|
99 |
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NoisedPrompt = AddNoise(Inputs, NoiseLevel)
|
100 |
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while queue.qsize() >= queue_threshold:
|
101 |
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time.sleep(2)
|
102 |
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queue.put(NoisedPrompt)
|
103 |
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Output5 = DreamPhotoReal(NoisedPrompt)
|
104 |
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logging.info('Done Creating Image On Thread 5')
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105 |
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return Output5
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106 |
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|
107 |
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def SendIt6(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
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108 |
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logging.info('Creating Image On Thread 6')
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109 |
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NoisedPrompt = AddNoise(Inputs, NoiseLevel)
|
110 |
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while queue.qsize() >= queue_threshold:
|
111 |
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time.sleep(2)
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112 |
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queue.put(NoisedPrompt)
|
113 |
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Output6 = DreamPhotoReal(NoisedPrompt)
|
114 |
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logging.info('Done Creating Image On Thread 6')
|
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return Output6
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116 |
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|
117 |
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def SendIt7(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
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118 |
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logging.info('Creating Image On Thread 7')
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119 |
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NoisedPrompt = AddNoise(Inputs, NoiseLevel)
|
120 |
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while queue.qsize() >= queue_threshold:
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121 |
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time.sleep(2)
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122 |
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queue.put(NoisedPrompt)
|
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Output7 = DreamPhotoReal(NoisedPrompt)
|
124 |
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logging.info('Done Creating Image On Thread 7')
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return Output7
|
126 |
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|
127 |
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def SendIt8(Inputs, NoiseLevel, DreamDiffusion=DreamDiffusion):
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128 |
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logging.info('Creating Image On Thread 8')
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NoisedPrompt = AddNoise(Inputs, NoiseLevel)
|
130 |
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while queue.qsize() >= queue_threshold:
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131 |
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time.sleep(2)
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132 |
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queue.put(NoisedPrompt)
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133 |
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Output8 = DreamPhotoReal(NoisedPrompt)
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134 |
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logging.info('Done Creating Image On Thread 8')
|
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return Output8
|
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|
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logging.info('Loading Interface')
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with App.Blocks(css='style.css') as demo:
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App.HTML(
|
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'''
|
141 |
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<div style='text-align: center; max-width: 650px; margin: 0 auto;'>
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142 |
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<div>
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143 |
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<h1 style='font-weight: 900; font-size: 3rem; margin-bottom:20px;'>
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144 |
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Dreamlike Appouped
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145 |
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</h1>
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146 |
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</div>
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147 |
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<p style='margin-bottom: 10px; font-size: 96%'>
|
148 |
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Dreamlike Diffusion 1.0 | Dreamlike PhotoReal 2.0
|
149 |
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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,
|
150 |
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<a created by phenomenon1981</a>.
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151 |
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</p>
|
152 |
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<p style='margin-bottom: 10px; font-size: 98%'>
|
153 |
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❤️ Press the Like Button if you enjoy my space! ❤️</a>
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154 |
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</p>
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155 |
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</div>
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156 |
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'''
|
157 |
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)
|
158 |
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with App.Column(elem_id='col-container'):
|
159 |
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with App.Row(variant='compact'):
|
160 |
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input_text = App.Textbox(
|
161 |
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label='Short Prompt',
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162 |
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show_label=False,
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163 |
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max_lines=4,
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164 |
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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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165 |
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).style(
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166 |
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container=False,
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167 |
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)
|
168 |
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output_prompt = App.Textbox(
|
169 |
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label='Random Prompt',
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170 |
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show_label=False,
|
171 |
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max_lines=4,
|
172 |
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placeholder='Click "Random Prompt" to get a random prompt from a list!',
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173 |
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).style(
|
174 |
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container=False,
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175 |
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)
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176 |
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SeePrompts = App.Button('✨ Magic Prompt ✨').style(full_width=False)
|
177 |
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RandomPrompt = App.Button('🔄️ Random Prompt 🔄️').style(full_width=False)
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178 |
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|
179 |
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|
180 |
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with App.Row(variant='compact'):
|
181 |
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prompt = App.Textbox(
|
182 |
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label='Enter your prompt',
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183 |
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show_label=False,
|
184 |
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max_lines=4,
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185 |
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placeholder='Full Prompt',
|
186 |
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).style(
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187 |
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container=False,
|
188 |
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)
|
189 |
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Run = App.Button('Generate Images').style(full_width=False)
|
190 |
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|
191 |
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with App.Row():
|
192 |
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with App.Row():
|
193 |
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NoiseLevel = App.Slider(minimum=0.1, maximum=3, step=0.1, label='Noise Level', value=0.5)
|
194 |
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|
195 |
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with App.Row():
|
196 |
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with App.Row():
|
197 |
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Output1=App.Image(label='Dreamlike Diffusion 1.0',show_label=True)
|
198 |
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Output2=App.Image(label='Dreamlike Diffusion 1.0',show_label=False)
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199 |
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Output3=App.Image(label='Dreamlike Diffusion 1.0',show_label=False)
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200 |
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Output4=App.Image(label='Dreamlike Diffusion 1.0',show_label=False)
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201 |
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Output5=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False)
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202 |
+
Output6=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False)
|
203 |
+
Output7=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False)
|
204 |
+
Output8=App.Image(label='Dreamlike PhotoReal 2.0',show_label=False)
|
205 |
+
|
206 |
+
|
207 |
+
SeePrompts.click(get_prompts, inputs=[input_text], outputs=[prompt], queue=False)
|
208 |
+
RandomPrompt.click(GetRandomPrompt, outputs=[prompt], queue=False)
|
209 |
+
Run.click(SendIt1, inputs=[prompt, NoiseLevel], outputs=[Output1])
|
210 |
+
Run.click(SendIt2, inputs=[prompt, NoiseLevel], outputs=[Output2])
|
211 |
+
Run.click(SendIt3, inputs=[prompt, NoiseLevel], outputs=[Output3])
|
212 |
+
Run.click(SendIt4, inputs=[prompt, NoiseLevel], outputs=[Output4])
|
213 |
+
Run.click(SendIt5, inputs=[prompt, NoiseLevel], outputs=[Output5])
|
214 |
+
Run.click(SendIt6, inputs=[prompt, NoiseLevel], outputs=[Output6])
|
215 |
+
Run.click(SendIt7, inputs=[prompt, NoiseLevel], outputs=[Output7])
|
216 |
+
Run.click(SendIt8, inputs=[prompt, NoiseLevel], outputs=[Output8])
|
217 |
+
|
218 |
+
|
219 |
+
with App.Row():
|
220 |
+
App.HTML(
|
221 |
+
'''
|
222 |
+
<div class='footer'>
|
223 |
+
<p> Demo for <a href='https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0'>Dreamlike Diffusion 1.0</a> Stable Diffusion model
|
224 |
+
<p> Demo for <a href='https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0'>Dreamlike PhotoReal 2.0</a> Stable Diffusion model
|
225 |
+
</p>
|
226 |
+
</div>
|
227 |
+
<div class='acknowledgments' style='font-size: 115%'>
|
228 |
+
<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!
|
229 |
+
</p>
|
230 |
+
</div>
|
231 |
+
'''
|
232 |
+
)
|
233 |
+
|
234 |
+
logging.info('Using Demo With 200 Concurrency Count')
|
235 |
+
demo.launch(enable_queue=True, inline=True, share=False)
|
236 |
+
block.queue(concurrency_count=300)
|
requirements.txt
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
accelerate==0.12.0
|
2 |
+
gradio
|
3 |
+
xformers
|
4 |
+
parallel-execute
|
style.css
ADDED
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
#col-container {
|
2 |
+
max-width: 800px;
|
3 |
+
margin-left: auto;
|
4 |
+
margin-right: auto;
|
5 |
+
}
|
6 |
+
a {
|
7 |
+
color: inherit;
|
8 |
+
text-decoration: underline;
|
9 |
+
}
|
10 |
+
.gradio-container {
|
11 |
+
font-family: 'IBM Plex Sans', sans-serif;
|
12 |
+
}
|
13 |
+
.gr-button {
|
14 |
+
color: white;
|
15 |
+
border-color: #9d66e5;
|
16 |
+
background: #9d66e5;
|
17 |
+
}
|
18 |
+
input[type='range'] {
|
19 |
+
accent-color: #9d66e5;
|
20 |
+
}
|
21 |
+
.dark input[type='range'] {
|
22 |
+
accent-color: #dfdfdf;
|
23 |
+
}
|
24 |
+
.container {
|
25 |
+
max-width: 800px;
|
26 |
+
margin: auto;
|
27 |
+
padding-top: 1.5rem;
|
28 |
+
}
|
29 |
+
#gallery {
|
30 |
+
min-height: 22rem;
|
31 |
+
margin-bottom: 15px;
|
32 |
+
margin-left: auto;
|
33 |
+
margin-right: auto;
|
34 |
+
border-bottom-right-radius: .5rem !important;
|
35 |
+
border-bottom-left-radius: .5rem !important;
|
36 |
+
}
|
37 |
+
#gallery>div>.h-full {
|
38 |
+
min-height: 20rem;
|
39 |
+
}
|
40 |
+
.details:hover {
|
41 |
+
text-decoration: underline;
|
42 |
+
}
|
43 |
+
.gr-button {
|
44 |
+
white-space: nowrap;
|
45 |
+
}
|
46 |
+
.gr-button:focus {
|
47 |
+
border-color: rgb(147 197 253 / var(--tw-border-opacity));
|
48 |
+
outline: none;
|
49 |
+
box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
|
50 |
+
--tw-border-opacity: 1;
|
51 |
+
--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
|
52 |
+
--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
|
53 |
+
--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
|
54 |
+
--tw-ring-opacity: .5;
|
55 |
+
}
|
56 |
+
#advanced-options {
|
57 |
+
margin-bottom: 20px;
|
58 |
+
}
|
59 |
+
.footer {
|
60 |
+
margin-bottom: 45px;
|
61 |
+
margin-top: 35px;
|
62 |
+
text-align: center;
|
63 |
+
border-bottom: 1px solid #e5e5e5;
|
64 |
+
}
|
65 |
+
.footer>p {
|
66 |
+
font-size: .8rem;
|
67 |
+
display: inline-block;
|
68 |
+
padding: 0 10px;
|
69 |
+
transform: translateY(10px);
|
70 |
+
background: white;
|
71 |
+
}
|
72 |
+
.dark .logo{ filter: invert(1); }
|
73 |
+
.dark .footer {
|
74 |
+
border-color: #303030;
|
75 |
+
}
|
76 |
+
.dark .footer>p {
|
77 |
+
background: #0b0f19;
|
78 |
+
}
|
79 |
+
.acknowledgments h4{
|
80 |
+
margin: 1.25em 0 .25em 0;
|
81 |
+
font-weight: bold;
|
82 |
+
font-size: 115%;
|
83 |
+
}
|
84 |
+
|