import gradio as gr import random from time import time, ctime def promptgen(choice, num): t = time() print(ctime(t)) if choice == "Prompt Generator v0.1(Better quality)": prompt = open('prompttext.txt').read().splitlines() elif choice == "Prompt Generator v0.2(More tags)": prompt = open('prompttext2.txt').read().splitlines() if int(num) < 1 or int(num) > 20: num = 10 vocab = len(prompt) generated = [] while len(sorted(set(generated), key=lambda d: generated.index(d))) < num: rand = random.randint(0, vocab) generated.append(prompt[rand-1]) return ' '.join(sorted(set(generated), key=lambda d: generated.index(d))) demo = gr.Blocks() with demo: gr.HTML( """

Simple Prompt Generator v0.4 (Gradio Demo)

Simple prompt generation script for Midjourney, DALLe, Stable and Disco diffusion and etc neural networks.

More examples in Github and Project site

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""" ) with gr.Column(): model_size = gr.Radio(["Prompt Generator v0.1(Better quality)", "Prompt Generator v0.2(More tags)"], label="Model Variant", value="Prompt Generator v0.1(Better quality)") number = gr.Number(value="10", label="Num of tag (MAX 20)", show_label=True) out = gr.Textbox(lines=4, label="Generated Prompts") greet_btn = gr.Button("Generate") greet_btn.click(fn=promptgen, inputs=[model_size, number], outputs=out) gr.HTML( """ """ ) demo.queue(concurrency_count=4) demo.launch()