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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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import os |
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import numpy as np |
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from gradio import * |
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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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current_model = models[0] |
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text_gen = gr.Interface.load("spaces/daspartho/prompt-extend") |
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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 load_image(image_path): |
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image = cv2.imread(image_path) |
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return image |
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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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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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with gr.Blocks(css='style.css') as myface: |
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gr.HTML( |
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) |
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with gr.Row(): |
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with gr.Row(): |
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input_text = gr.Textbox(label="Prompt idea", placeholder="", lines=1) |
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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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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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output1 = gr.Image(label="") |
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output2 = gr.Image(label="") |
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output3 = gr.Image(label="") |
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with gr.Row(): |
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magic1 = gr.Textbox(label="Generated Prompt", lines=2) |
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magic2 = gr.Textbox(label="Generated Prompt", lines=2) |
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magic3 = gr.Textbox(label="Generated Prompt", lines=2) |
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with gr.Row(): |
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output4 = gr.Image(label="") |
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output5 = gr.Image(label="") |
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output6 = gr.Image(label="") |
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with gr.Row(): |
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magic4 = gr.Textbox(label="Generated Prompt", lines=2) |
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magic5 = gr.Textbox(label="Generated Prompt", lines=2) |
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magic6 = gr.Textbox(label="Generated Prompt", lines=2) |
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model_name1.change(set_model, inputs=model_name1, outputs=[output1, output2, output3, output4, output5, output6]) |
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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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run.click(send_it, inputs=[magic3, model_name1], outputs=[output3]) |
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run.click(send_it, inputs=[magic4, model_name1], outputs=[output4]) |
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run.click(send_it, inputs=[magic5, model_name1], outputs=[output5]) |
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run.click(send_it, inputs=[magic6, model_name1], outputs=[output6]) |
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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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see_prompts.click(text_it, inputs=[input_text], outputs=[magic3]) |
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see_prompts.click(text_it, inputs=[input_text], outputs=[magic4]) |
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see_prompts.click(text_it, inputs=[input_text], outputs=[magic5]) |
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see_prompts.click(text_it, inputs=[input_text], outputs=[magic6]) |
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myface.queue(concurrency_count=200) |
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myface.launch(inline=True, show_api=True, max_threads=400) |
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demo.launch() |
