| import gradio as gr |
| from random import randint |
| from all_models import models |
| import torch |
| import os |
|
|
| os.environ["CUDA_VISIBLE_DEVICES"] = "" |
|
|
|
|
| device = "cpu" |
| model_repo_id = "stabilityai/sdxl-turbo" |
|
|
| torch_dtype = torch.float32 |
|
|
|
|
|
|
| def load_fn(models): |
| global models_load |
| models_load = {} |
| for model in models: |
| if model not in models_load.keys(): |
| try: |
| m = gr.load(f'models/{model}') |
| except Exception as error: |
| m = gr.Interface(lambda txt: None, ['text'], ['image']) |
| models_load.update({model: m}) |
|
|
| load_fn(models) |
|
|
| num_models = len(models) |
| default_models = models[:num_models] |
|
|
| def extend_choices(choices): |
| return choices + (num_models - len(choices)) * ['NA'] |
|
|
| def update_imgbox(choices): |
| choices_plus = extend_choices(choices) |
| return [gr.Image(None, label=m, visible=(m != 'NA'), elem_id="custom_image") for m in choices_plus] |
|
|
| def gen_fn(model_str, prompt): |
| if model_str == 'NA': |
| return None |
| noise = str(randint(0, 9999999)) |
| return models_load[model_str](f'{prompt} {noise}') |
|
|
| def make_me(): |
| with gr.Row(): |
| with gr.Column(scale=1): |
| txt_input = gr.Textbox(label='Your prompt:', lines=3, container=False, elem_id="custom_textbox", placeholder="Prompt") |
| with gr.Row(): |
| gen_button = gr.Button('Generate images', elem_id="custom_gen_button") |
| stop_button = gr.Button('Stop', variant='secondary', interactive=False, elem_id="custom_stop_button") |
| |
| def on_generate_click(): |
| return gr.Button('Generate images', elem_id="custom_gen_button"), gr.Button('Stop', variant='secondary', interactive=True, elem_id="custom_stop_button") |
| |
| def on_stop_click(): |
| return gr.Button('Generate images', elem_id="custom_gen_button"), gr.Button('Stop', variant='secondary', interactive=False, elem_id="custom_stop_button") |
| |
| gen_button.click(on_generate_click, inputs=None, outputs=[gen_button, stop_button]) |
| stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button]) |
| |
| with gr.Row(): |
| output = [gr.Image(label=m, min_width=250, height=250, elem_id="custom_image") for m in default_models] |
| current_models = [gr.Textbox(m, visible=False) for m in default_models] |
| for m, o in zip(current_models, output): |
| gen_event = gen_button.click(gen_fn, [m, txt_input], o) |
| stop_button.click(on_stop_click, inputs=None, outputs=[gen_button, stop_button], cancels=[gen_event]) |
| |
| with gr.Accordion('Model selection', elem_id="custom_accordion"): |
| model_choice = gr.CheckboxGroup(models, label=f'{num_models} different models selected', value=default_models, interactive=True, elem_id="custom_checkbox_group") |
| model_choice.change(update_imgbox, model_choice, output) |
| model_choice.change(extend_choices, model_choice, current_models) |
| |
| with gr.Row(): |
| gr.HTML("") |
|
|
| custom_css = """ |
| :root { |
| --body-background-fill: #2d3d4f; |
| } |
| |
| body { |
| background-color: var(--body-background-fill) !important; |
| color: #2d3d4f; |
| margin: 0; |
| padding: 0; |
| font-family: Arial, sans-serif; |
| height: 100vh; |
| overflow-y: auto; |
| } |
| |
| .gradio-container { |
| background-color: #2d3d4f; |
| color: #c5c6c7; |
| padding: 20px; |
| border-radius: 8px; |
| box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); |
| width: 100%; |
| max-width: 1200px; |
| margin: 20px auto; |
| display: block; |
| min-height: 100vh; |
| } |
| |
| .app_title { |
| background-color: #2d3d4f; |
| color: #c5c6c7; |
| padding: 10px 20px; |
| border-bottom: 1px solid #3b4252; |
| text-align: center; |
| font-size: 24px; |
| font-weight: bold; |
| width: 100%; |
| box-sizing: border-box; |
| margin-bottom: 20px; |
| } |
| |
| .custom_textbox { |
| background-color: #2d343f; |
| border: 1px solid #3b4252; |
| color: #7f8184; |
| padding: 10px; |
| border-radius: 4px; |
| margin-bottom: 10px; |
| width: 100%; |
| box-sizing: border-box; |
| } |
| |
| .custom_gen_button { |
| background-color: #8b38ff; |
| border: 1px solid #ffffff; |
| color: blue; |
| padding: 15px 32px; |
| text-align: center; |
| text-decoration: none; |
| display: inline-block; |
| font-size: 16px; |
| margin: 4px 2px; |
| cursor: pointer; |
| box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); |
| transition: transform 0.2s, box-shadow 0.2s; |
| border-radius: 4px; |
| } |
| .custom_gen_button:hover { |
| transform: translateY(-2px); |
| box-shadow: 0 6px 10px rgba(0, 0, 0, 0.3); |
| } |
| .custom_stop_button { |
| background-color: #6200ea; |
| border: 1px solid #ffffff; |
| color: blue; |
| padding: 15px 32px; |
| text-align: center; |
| text-decoration: none; |
| display: inline-block; |
| font-size: 16px; |
| margin: 4px 2px; |
| cursor: pointer; |
| box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); |
| transition: transform 0.2s, box-shadow 0.2s; |
| border-radius: 4px; |
| } |
| .custom_stop_button:hover { |
| transform: translateY(-2px); |
| box-shadow: 0 6px 10px rgba(0, 0, 0, 0.3); |
| } |
| |
| .custom_image { |
| border: 1px solid #3b4252; |
| background-color: #2d343f; |
| border-radius: 4px; |
| margin: 10px; |
| max-width: 100%; |
| box-sizing: border-box; |
| } |
| |
| .custom_accordion { |
| background-color: #2d3d4f; |
| color: #7f8184; |
| border: 1px solid #3b4252; |
| border-radius: 4px; |
| margin-top: 20px; |
| width: 100%; |
| box-sizing: border-box; |
| transition: margin 0.2s ease; |
| } |
| |
| .custom_accordion .gr-accordion-header { |
| background-color: #2d3d4f; |
| color: #7f8184; |
| padding: 10px 20px; |
| border-bottom: 1px solid #5b6270; |
| cursor: pointer; |
| font-size: 18px; |
| font-weight: bold; |
| height: 40px; |
| display: flex; |
| align-items: center; |
| } |
| |
| .custom_accordion .gr-accordion-header:hover { |
| background-color: #2d3d4f; |
| } |
| |
| .custom_accordion .gr-accordion-content { |
| padding: 10px 20px; |
| background-color: #2d3d4f; |
| border-top: 1px solid #5b6270; |
| max-height: 0; |
| overflow: hidden; |
| transition: max-height 0.2s ease; |
| } |
| |
| .custom_accordion .gr-accordion-content.open { |
| max-height: 500px; |
| } |
| |
| .custom_checkbox_group { |
| background-color: #2d343f; |
| border: 1px solid #3b4252; |
| color: #7f8184; |
| border-radius: 4px; |
| padding: 10px; |
| width: 100%; |
| box-sizing: border-box; |
| } |
| |
| @media (max-width: 768px) { |
| .gradio-container { |
| width: 100%; |
| margin: 0; |
| padding: 10px; |
| } |
| .custom_textbox,.custom_image,.custom_checkbox_group { |
| width: 100%; |
| box-sizing: border-box; |
| } |
| } |
| """ |
|
|
| with gr.Blocks(css=custom_css) as demo: |
| make_me() |
| |
| demo.queue(default_concurrency_limit=340, max_size=400) |
| demo.launch(max_threads=400, ssr_mode=False) |
|
|
|
|
| demo.queue(concurrency_count=50) |
| demo.launch() |