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DreamlikeArt-Diffusion-1.0
File size: 6,515 Bytes 
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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
queue = Queue()

text_gen=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion")
proc1=gr.Interface.load("models/dreamlike-art/dreamlike-photoreal-2.0")
proc5=gr.Interface.load("models/dreamlike-art/dreamlike-diffusion-1.0")


import random

def add_random_noise(prompt, noise_level=0.07):
    # Get the percentage of characters to add as noise
    percentage_noise = noise_level * 5
    # Get the number of characters to add as noise
    num_noise_chars = int(len(prompt) * (percentage_noise/100))
    # Get the indices of the characters to add noise to
    noise_indices = random.sample(range(len(prompt)), num_noise_chars)
    # Add noise to the selected characters
    prompt_list = list(prompt)
    for index in noise_indices:
        prompt_list[index] = random.choice(string.ascii_letters + string.punctuation)
    return "".join(prompt_list)

queue_length_counter = 0

def send_it1(inputs, noise_level, proc1=proc1):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output1 = proc1(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(3)
    return output1
    time.sleep(1)

def send_it2(inputs, noise_level, proc1=proc1):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output2 = proc1(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(3)
    return output2
    time.sleep(1)

def send_it3(inputs, noise_level, proc1=proc1):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output3 = proc1(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(3)
    return output3
    time.sleep(1)

def send_it4(inputs, noise_level, proc1=proc1):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output4 = proc1(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(3)
    return output4
    time.sleep(1)

def send_it5(inputs, noise_level, proc5=proc5):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output5 = proc5(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(3)
    return output5
    time.sleep(1)

def send_it6(inputs, noise_level, proc5=proc5):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output6 = proc5(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(3)
    return output6
    time.sleep(1)

def send_it7(inputs, noise_level, proc5=proc5):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output7 = proc5(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(3)
    return output7
    time.sleep(1)

def send_it8(inputs, noise_level, proc5=proc5):
    global queue_length_counter
    prompt_with_noise = add_random_noise(inputs, noise_level)
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output8 = proc5(prompt_with_noise)
    queue_length_counter += 1
    time.sleep(3)
    return output8
    time.sleep(1)



def get_prompts(prompt_text):
    global queue_length_counter
    if queue_length_counter >= 15:
        if not queue.empty():
            queue.queue.clear()
        queue_length_counter = 0
    output = text_gen(prompt_text)
    queue_length_counter += 1
    time.sleep(3)
    return output
    time.sleep(1)


with gr.Blocks() as myface:
    with gr.Row():

        input_text=gr.Textbox(label="Short Prompt")
        see_prompts=gr.Button("Magic Prompt")
    with gr.Row():

        prompt=gr.Textbox(label="Enter Prompt")
        noise_level=gr.Slider(minimum=0.1, maximum=3, step=0.1, label="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.")
        run=gr.Button("Generate")

    with gr.Row():
        like_message = gr.Button("❤️ Press the Like Button if you enjoy my space! ❤️")
    with gr.Row():
        output1=gr.Image(label="Dreamlike Photoreal 2.0")
        output2=gr.Image(label="Dreamlike Photoreal 2.0")
    with gr.Row():
        output3=gr.Image(label="Dreamlike Photoreal 2.0")
        output4=gr.Image(label="Dreamlike Photoreal 2.0")
    with gr.Row():
        output5=gr.Image(label="Dreamlike Diffusion 1.0")
        output6=gr.Image(label="Dreamlike Diffusion 1.0")
    with gr.Row():
        output7=gr.Image(label="Dreamlike Diffusion 1.0")
        output8=gr.Image(label="Dreamlike Diffusion 1.0")

    
    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])
    run.click(send_it6, inputs=[prompt, noise_level], outputs=[output6])
    run.click(send_it7, inputs=[prompt, noise_level], outputs=[output7])
    run.click(send_it8, inputs=[prompt, noise_level], outputs=[output8])
    see_prompts.click(get_prompts, inputs=[input_text], outputs=[prompt])



myface.queue(concurrency_count=8)
myface.launch(enable_queue=True, inline=True)
while True:
    if queue.qsize() >= 20:
        queue.queue.clear()
    time.sleep(30)