import gradio as gr import os import sys from pathlib import Path import random import string import time from queue import Queue from threading import Thread import emoji text_gen=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion") def get_prompts(prompt_text): if prompt_text: return text_gen(prompt_text + " Dream") else: return text_gen("") models = [ "Yntec/OpenLexica", "Yntec/MapleSyrup", ] current_model = models[0] models2=[ gr.Interface.load(f"models/{models[0]}",live=True,preprocess=False), gr.Interface.load(f"models/{models[1]}",live=True,preprocess=False), ] def text_it1(inputs,text_gen1=text_gen1): go_t1=text_gen1(inputs) return(go_t1) def set_model(current_model): current_model = models[current_model] return gr.update(label=(f"{current_model}")) def send_it1(inputs, model_choice): proc1=models2[model_choice] output1=proc1(inputs) return(output1) css="""""" with gr.Blocks(css='style.css') as demo: gr.HTML( """

ToyWorld XL 401

PlaceHolder original space created by Phenomenon1981.

❤️ Press the Like Button if you enjoy my space! ❤️

""" ) with gr.Row(): with gr.Column(scale=100): magic1=gr.Textbox(lines=4) gr.HTML("""""") run=gr.Button("Generate Image") with gr.Row(): with gr.Column(scale=100): #Model selection dropdown model_name1 = gr.Dropdown(label="Select Model", choices=[m for m in models], type="index", value=current_model, interactive=True) with gr.Row(): with gr.Column(style="width=800px"): output1=gr.Image(label=(f"{current_model}")) with gr.Row(): with gr.Column(scale=50): input_text=gr.Textbox(label="Use this box to extend an idea automagically, by typing some words and clicking Extend Idea",lines=2) use_short=gr.Button("Use Short Prompt") see_prompts=gr.Button("Extend Idea") def short_prompt(inputs): return(inputs) model_name1.change(set_model,inputs=model_name1,outputs=[output1]) run.click(send_it1, inputs=[magic1, model_name1], outputs=[output1]) use_short.click(short_prompt,inputs=[input_text],outputs=magic1) see_prompts.click(text_it1,inputs=[input_text],outputs=magic1) myface.queue(concurrency_count=200) myface.launch(inline=True, show_api=False, max_threads=400)