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Update app.py
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app.py
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@@ -1,9 +1,9 @@
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!pip install --upgrade gradio
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import gradio as gr
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from random import randint
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from all_models import models
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def load_fn(models):
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global models_load
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models_load = {}
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@@ -16,28 +16,35 @@ def load_fn(models):
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m = gr.Interface(lambda txt: None, ['text'], ['image'])
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models_load.update({model: m})
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load_fn(models)
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num_models = 150
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default_models = models[:num_models]
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def extend_choices(choices):
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return choices + (num_models - len(choices)) * ['NA']
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def update_imgbox(choices):
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choices_plus = extend_choices(choices)
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return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
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if model_str == 'NA':
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return None
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noise = str('') #str(randint(0, 99999999999))
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return
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with gr.Blocks() as demo:
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with gr.Tab('The Dream'):
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txt_input = gr.Textbox(label = 'Your prompt:', lines=4).style(container=False,min_width=1200)
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negative_txt_input = gr.Textbox(label = 'Your negative prompt:', lines=4).style(container=False,min_width=1200)
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gen_button = gr.Button('Generate up to 150 images in up to 3 minutes total')
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stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
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gen_button.click(lambda s: gr.update(interactive = True), None, stop_button)
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@@ -58,7 +65,7 @@ with gr.Blocks() as demo:
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current_models = [gr.Textbox(m, visible = False) for m in default_models]
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for m, o in zip(current_models, output):
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gen_event = gen_button.click(gen_fn, [m, txt_input
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stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
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with gr.Accordion('Model selection'):
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model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 755 available!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
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@@ -74,4 +81,4 @@ with gr.Blocks() as demo:
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)
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demo.queue(concurrency_count = 200)
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demo.launch()
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import gradio as gr
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from random import randint
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from all_models import models
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def load_fn(models):
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global models_load
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models_load = {}
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m = gr.Interface(lambda txt: None, ['text'], ['image'])
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models_load.update({model: m})
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load_fn(models)
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num_models = 150
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default_models = models[:num_models]
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def extend_choices(choices):
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return choices + (num_models - len(choices)) * ['NA']
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def update_imgbox(choices):
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choices_plus = extend_choices(choices)
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return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
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def gen_fn(model_str, prompt):
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if model_str == 'NA':
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return None
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noise = str('') #str(randint(0, 99999999999))
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return models_load[model_str](f'{prompt} {noise}')
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with gr.Blocks() as demo:
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with gr.Tab('The Dream'):
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txt_input = gr.Textbox(label = 'Your prompt:', lines=4).style(container=False,min_width=1200)
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gen_button = gr.Button('Generate up to 150 images in up to 3 minutes total')
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stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
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gen_button.click(lambda s: gr.update(interactive = True), None, stop_button)
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current_models = [gr.Textbox(m, visible = False) for m in default_models]
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for m, o in zip(current_models, output):
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gen_event = gen_button.click(gen_fn, [m, txt_input], o)
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stop_button.click(lambda s: gr.update(interactive = False), None, stop_button, cancels = [gen_event])
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with gr.Accordion('Model selection'):
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model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models from the 755 available!', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
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)
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demo.queue(concurrency_count = 200)
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demo.launch()
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