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import numpy as np |
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import gradio as gr |
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from theme_dropdown import create_theme_dropdown |
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dropdown, js = create_theme_dropdown() |
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with gr.Blocks(theme='nota-ai/theme') as demo: |
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with gr.Row().style(equal_height=True): |
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with gr.Column(scale=10): |
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gr.Markdown( |
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""" |
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# Theme preview: `theme` |
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To use this theme, set `theme='nota-ai/theme'` in `gr.Blocks()` or `gr.Interface()`. |
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You can append an `@` and a semantic version expression, e.g. @>=1.0.0,<2.0.0 to pin to a given version |
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of this theme. |
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""" |
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) |
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with gr.Column(scale=3): |
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with gr.Box(): |
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dropdown.render() |
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toggle_dark = gr.Button(value="Toggle Dark").style(full_width=True) |
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dropdown.change(None, dropdown, None, _js=js) |
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toggle_dark.click( |
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None, |
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_js=""" |
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() => { |
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document.body.classList.toggle('dark'); |
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document.querySelector('gradio-app').style.backgroundColor = 'var(--color-background-primary)' |
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} |
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""", |
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) |
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models = [ |
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{"name": "Stable Diffusion 2", "url": "stabilityai/stable-diffusion-2-1"}, |
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{"name": "stability AI", "url": "stabilityai/stable-diffusion-2-1-base"}, |
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{"name": "XL-Refiner-1.0", "url": "stabilityai/stable-diffusion-xl-refiner-1.0"}, |
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{"name": "Future Diffusion", "url": "nitrosocke/Future-Diffusion"}, |
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{"name": "JWST Deep Space Diffusion", "url": "dallinmackay/JWST-Deep-Space-diffusion"}, |
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{"name": "Robo Diffusion 3 Base", "url": "nousr/robo-diffusion-2-base"}, |
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{"name": "Robo Diffusion", "url": "nousr/robo-diffusion"}, |
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{"name": "Tron Legacy Diffusion", "url": "dallinmackay/Tron-Legacy-diffusion"}, |
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] |
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text_gen = gr.Interface.load("spaces/daspartho/prompt-extend") |
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current_model = models[0] |
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models2 = [] |
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for model in models: |
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model_url = f"models/{model['url']}" |
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loaded_model = gr.Interface.load(model_url, live=True, preprocess=True) |
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models2.append(loaded_model) |
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def text_it(inputs, text_gen=text_gen): |
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return text_gen(inputs) |
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def flip_text(x): |
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return x[::-1] |
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def send_it(inputs, model_choice): |
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proc = models2[model_choice] |
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return proc(inputs) |
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def flip_image(x): |
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return np.fliplr(x) |
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def set_model(current_model_index): |
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global current_model |
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current_model = models[current_model_index] |
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return gr.update(value=f"{current_model['name']}") |
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with gr.Blocks(theme='nota-ai/theme') as pan: |
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gr.Markdown("AI CONTENT TOOLS.") |
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with gr.Tab("T-to-I"): |
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model_name1 = gr.Dropdown( |
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label="Choose Model", |
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choices=[m["name"] for m in models], |
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type="index", |
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value=current_model["name"], |
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interactive=True, |
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) |
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input_text = gr.Textbox(label="Prompt idea",) |
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with gr.Row(): |
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see_prompts = gr.Button("Generate Prompts") |
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run = gr.Button("Generate Images", variant="primary") |
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with gr.Row(): |
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magic1 = gr.Textbox(label="Generated Prompt", lines=2) |
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output1 = gr.Image(label="") |
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with gr.Row(): |
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magic2 = gr.Textbox(label="Generated Prompt", lines=2) |
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output2 = gr.Image(label="") |
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run.click(send_it, inputs=[magic1, model_name1], outputs=[output1]) |
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run.click(send_it, inputs=[magic2, model_name1], outputs=[output2]) |
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see_prompts.click(text_it, inputs=[input_text], outputs=[magic1]) |
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see_prompts.click(text_it, inputs=[input_text], outputs=[magic2]) |
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model_name1.change(set_model, inputs=model_name1, outputs=[output1, output2,]) |
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with gr.Tab("Flip Image"): |
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with gr.Row(): |
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output1 = gr.Image() |
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image_input = gr.Image() |
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image_button = gr.Button("Flip") |
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run.click(send_it, inputs=[magic1, model_name1], outputs=[output1]) |
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with gr.Tab("Diffuser"): |
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with gr.Row(): |
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text_input = gr.Textbox() |
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image_output = gr.Image() |
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image_button = gr.Button("Flip") |
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with gr.Accordion("Open for More!"): |
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gr.Markdown("Looding....") |
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pan.queue(concurrency_count=200) |
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pan.launch(inline=True, show_api=True, max_threads=400) |
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