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") def reset_queue_periodically(): start_time = time.time() while True: if time.time() - start_time > 300: # 300 seconds = 5 minutes queue.queue.clear() start_time = time.time() 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 return output1 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 return output2 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 return output3 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 return output4 def send_it5(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 output5 = proc1(prompt_with_noise) queue_length_counter += 1 return output5 def send_it6(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 output6 = proc1(prompt_with_noise) queue_length_counter += 1 return output6 def send_it7(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 output7 = proc1(prompt_with_noise) queue_length_counter += 1 return output7 def send_it8(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 output8 = proc1(prompt_with_noise) queue_length_counter += 1 return output8 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 return output 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 Photoreal 2.0") output6=gr.Image(label="Dreamlike Photoreal 2.0") with gr.Row(): output7=gr.Image(label="Dreamlike Photoreal 2.0") output8=gr.Image(label="Dreamlike Photoreal 2.0") 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() >= 15: queue.queue.clear() time.sleep(30)