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Sleeping
| import gradio as gr | |
| import os | |
| import sys | |
| from pathlib import Path | |
| import numpy as np | |
| from PIL import Image | |
| models = [ | |
| {"name": "SD ComVis 1.2","url": "CompVis/stable-diffusion-v1-2"}, | |
| {"name": "SD Comvis 1.4","url": "CompVis/stable-diffusion-v1-4"}, | |
| {"name": "SD runawayml 1.5","url": "runwayml/stable-diffusion-v1-5"}, | |
| {"name": "SD Stability 2.1 Unclip","url": "stabilityai/stable-diffusion-2-1-unclip"}, | |
| {"name": "SD Dreamshaper-Anime","url": "Lykon/DreamShaper"}, | |
| ] | |
| current_model = models[0] | |
| text_gen = gr.Interface.load("spaces/daspartho/prompt-extend") | |
| models2 = [] | |
| for model in models: | |
| model_url = f"models/{model['url']}" | |
| loaded_model = gr.Interface.load(model_url, live=True, preprocess=True) | |
| models2.append(loaded_model) | |
| def text_it(inputs, text_gen=text_gen): | |
| return text_gen(inputs) | |
| def set_model(current_model_index): | |
| global current_model | |
| current_model = models[current_model_index] | |
| return gr.update(value=f"{current_model['name']}") | |
| def send_it(inputs, model_choice): | |
| proc = models2[model_choice] | |
| return proc(inputs) | |
| with gr.Blocks (css ='main.css') as myface: | |
| gr.HTML(" <div style='font-size: 20px; font-family:verdana; background-color: #000000; color:#FFFFFF; border:1px solid #FFFFFF; border-radius: 10px; width:50%; height: 30px; float: left; text-align:center;'> Your Promt Here</div> <div style='font-size: 20px; font-family:verdana; background-color:#000000; color:#FFFFFF; border:1px solid #FFFFFF; border-radius: 10px; width:50%; height: 30px; float:right;text-align: center;'> Choose model here </div> " ) | |
| with gr.Row(): | |
| input_text = gr.Textbox(label=" ",placeholder="1.PROMPT IDEA HERE ! ",lines=4) | |
| # Model selection dropdown | |
| model_name1 = gr.Dropdown( | |
| label="2 Choose model here", | |
| choices=[m["name"] for m in models], | |
| type="index", | |
| value=current_model["name"], | |
| interactive=True, | |
| ) | |
| with gr.Row(): | |
| see_prompts = gr.Button("3. GENERATE YOUR PROMT IDEA HERE!") | |
| run = gr.Button("4. GENERATE THE IMAGE HERE!", varant="primery") | |
| # | |
| with gr.Row(): | |
| output1 = gr.Image(label="") | |
| output2 = gr.Image(label="") | |
| output3 = gr.Image(label="") | |
| with gr.Row(): | |
| magic1 = gr.Textbox(label="Generated Prompt", lines=2) | |
| magic2 = gr.Textbox(label="Generated Prompt", lines=2) | |
| magic3 = gr.Textbox(label="Generated Prompt", lines=2) | |
| model_name1.change(set_model, inputs=model_name1, outputs=[output1, output2, output3,]) | |
| run.click(send_it, inputs=[magic1, model_name1], outputs=[output1]) | |
| run.click(send_it, inputs=[magic2, model_name1], outputs=[output2]) | |
| run.click(send_it, inputs=[magic3, model_name1], outputs=[output3]) | |
| see_prompts.click(text_it, inputs=[input_text], outputs=[magic1]) | |
| see_prompts.click(text_it, inputs=[input_text], outputs=[magic2]) | |
| see_prompts.click(text_it, inputs=[input_text], outputs=[magic3]) | |
| title="Daylight (SD) On Articlera.com ", | |
| myface.queue(concurrency_count=200) | |
| myface.launch(inline=True, max_threads=400) |