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import gradio as gr |
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import os |
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import sys |
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from pathlib import Path |
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models = [ |
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"Yntec/OpenLexica", |
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"Yntec/MapleSyrup", |
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] |
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current_model = models[0] |
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text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link") |
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models2=[ |
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gr.Interface.load(f"models/{models[0]}",live=True,preprocess=False), |
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gr.Interface.load(f"models/{models[1]}",live=True,preprocess=False), |
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] |
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def text_it1(inputs,text_gen1=text_gen1): |
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go_t1=text_gen1(inputs) |
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return(go_t1) |
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def set_model(current_model): |
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current_model = models[current_model] |
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return gr.update(label=(f"{current_model}")) |
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def send_it1(inputs, model_choice): |
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proc1=models2[model_choice] |
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output1=proc1(inputs) |
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return(output1) |
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css="""""" |
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with gr.Blocks(css=css) as myface: |
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gr.HTML(""" |
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<div style="text-align: center; max-width: 1200px; margin: 0 auto;"> |
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<div> |
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<style> |
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h1 { |
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font-size: 6em; |
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color: #ffffff; |
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margin-top: 30px; |
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margin-bottom: 30px; |
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text-shadow: 3px 3px 0 rgba(0, 0, 0, 1) !important; |
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} |
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h3 { |
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color: #ffaa66; !important; |
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} |
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h4 { |
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color: #ffffff; !important; |
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} |
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.gradio-container { |
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background-image: linear-gradient(#8150df, #000000) !important; |
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color: #ffaa66 !important; |
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font-family: 'IBM Plex Sans', sans-serif !important; |
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} |
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</style> |
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<body> |
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<div class="center"><h1>ToyWorld XL 401</h1> |
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</div> |
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</body> |
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</div> |
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<p style="margin-bottom: 10px; color: #ffaa66;"> |
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<h3>Top SDXLModels and 401 SD1.5 models for your enjoyment!</h3></p> |
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<p style="margin-bottom: 10px; font-size: 98%"> |
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<br><h4>The first time you load a model it takes 200 seconds</h4> |
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<br><h4>But after it loads each image takes 20 seconds to generate!</h4></p> |
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</div> |
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""") |
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with gr.Row(): |
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with gr.Column(scale=100): |
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model_name1 = gr.Dropdown(label="Select Model", choices=[m for m in models], type="index", value=current_model, interactive=True) |
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with gr.Row(): |
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with gr.Column(scale=100): |
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magic1=gr.Textbox(label="Your Prompt", lines=4) |
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gr.HTML("""<style> .gr-button { |
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color: white !important; |
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top:50%; |
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background-image: linear-gradient(#6d43e4, #8150df) !important; |
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border-radius: 24px !important; |
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border: 12px outset #95c200; |
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padding: 6px 30px; |
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} |
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</style>""") |
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run=gr.Button("Generate Image") |
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with gr.Row(): |
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with gr.Column(style="width=800px"): |
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output1=gr.Image(label=(f"{current_model}")) |
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with gr.Row(): |
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with gr.Column(scale=50): |
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input_text=gr.Textbox(label="Use this box to extend an idea automagically, by typing some words and clicking Extend Idea",lines=2) |
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use_short=gr.Button("Use Short Prompt") |
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see_prompts=gr.Button("Extend Idea") |
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def short_prompt(inputs): |
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return(inputs) |
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model_name1.change(set_model,inputs=model_name1,outputs=[output1]) |
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run.click(send_it1, inputs=[magic1, model_name1], outputs=[output1]) |
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use_short.click(short_prompt,inputs=[input_text],outputs=magic1) |
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see_prompts.click(text_it1,inputs=[input_text],outputs=magic1) |
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myface.queue(concurrency_count=200) |
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myface.launch(inline=True, show_api=False, max_threads=400) |
