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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Import necessary libraries\n",
"import ipywidgets as widgets\n",
"from IPython.display import display, clear_output\n",
"from img_gen_logic import generate_image\n",
"from config import models, prompts\n",
"import random\n",
"\n",
"# Dropdown menu for model selection\n",
"model_dropdown = widgets.Dropdown(\n",
" options=[(model[\"alias\"], model[\"name\"]) for model in models],\n",
" description=\"Select Model:\",\n",
" style={\"description_width\": \"initial\"}\n",
")\n",
"\n",
"# Dropdown menu for prompt selection\n",
"prompt_dropdown = widgets.Dropdown(\n",
" options=[(prompt[\"alias\"], prompt[\"text\"]) for prompt in prompts],\n",
" description=\"Select Prompt:\",\n",
" style={\"description_width\": \"initial\"}\n",
")\n",
"\n",
"# Dropdown menu for team selection\n",
"team_dropdown = widgets.Dropdown(\n",
" options=[\"Red\", \"Blue\"],\n",
" description=\"Select Team:\",\n",
" style={\"description_width\": \"initial\"}\n",
")\n",
"\n",
"# Input for height\n",
"height_input = widgets.IntText(\n",
" value=360,\n",
" description=\"Height:\",\n",
" style={\"description_width\": \"initial\"}\n",
")\n",
"\n",
"# Input for width\n",
"width_input = widgets.IntText(\n",
" value=640,\n",
" description=\"Width:\",\n",
" style={\"description_width\": \"initial\"}\n",
")\n",
"\n",
"# Input for number of inference steps\n",
"num_inference_steps_input = widgets.IntSlider(\n",
" value=20,\n",
" min=10,\n",
" max=100,\n",
" step=1,\n",
" description=\"Inference Steps:\",\n",
" style={\"description_width\": \"initial\"}\n",
")\n",
"\n",
"# Input for guidance scale\n",
"guidance_scale_input = widgets.FloatSlider(\n",
" value=2,\n",
" min=1.0,\n",
" max=20.0,\n",
" step=0.5,\n",
" description=\"Guidance Scale:\",\n",
" style={\"description_width\": \"initial\"}\n",
")\n",
"\n",
"# Input for seed\n",
"seed_input = widgets.IntText(\n",
" value=random.randint(0, 1000000),\n",
" description=\"Seed:\",\n",
" style={\"description_width\": \"initial\"}\n",
")\n",
"\n",
"# Checkbox to randomize seed\n",
"randomize_seed_checkbox = widgets.Checkbox(\n",
" value=True,\n",
" description=\"Randomize Seed\",\n",
" style={\"description_width\": \"initial\"}\n",
")\n",
"\n",
"# Text box for custom prompt\n",
"custom_prompt_input = widgets.Textarea(\n",
" value=\"\",\n",
" placeholder=\"Enter your custom prompt (up to 200 characters)...\",\n",
" description=\"Custom Prompt:\",\n",
" style={\"description_width\": \"initial\"},\n",
" layout=widgets.Layout(width=\"500px\", height=\"80px\")\n",
")\n",
"\n",
"# Button to generate image\n",
"generate_button = widgets.Button(\n",
" description=\"Generate Image\",\n",
" button_style=\"success\"\n",
")\n",
"\n",
"# Output area to display the image\n",
"output = widgets.Output()\n",
"\n",
"# Function to handle button click event\n",
"def on_generate_button_clicked(b):\n",
" with output:\n",
" clear_output(wait=True) # Clear previous output\n",
" selected_prompt = prompt_dropdown.value\n",
" selected_team = team_dropdown.value\n",
" selected_model = model_dropdown.value\n",
" height = height_input.value\n",
" width = width_input.value\n",
" num_inference_steps = num_inference_steps_input.value\n",
" guidance_scale = guidance_scale_input.value\n",
" seed = seed_input.value\n",
" custom_prompt = custom_prompt_input.value\n",
"\n",
" # Debug: Show selected parameters\n",
" print(f\"Selected Model: {model_dropdown.label}\")\n",
" print(f\"Selected Prompt: {prompt_dropdown.label}\")\n",
" print(f\"Selected Team: {selected_team}\")\n",
" print(f\"Height: {height}\")\n",
" print(f\"Width: {width}\")\n",
" print(f\"Inference Steps: {num_inference_steps}\")\n",
" print(f\"Guidance Scale: {guidance_scale}\")\n",
" print(f\"Seed: {seed}\")\n",
" print(f\"Custom Prompt: {custom_prompt}\")\n",
"\n",
" # Generate the image\n",
" image, message = generate_image(selected_prompt, selected_team, selected_model, height, width, num_inference_steps, guidance_scale, seed, custom_prompt)\n",
"\n",
" if isinstance(image, str):\n",
" print(image)\n",
" else:\n",
" # Debug: Indicate that the image is being displayed and saved\n",
" print(\"Image generated successfully!\")\n",
" print(\"Displaying image...\")\n",
"\n",
" # Display the image in the notebook\n",
" display(image)\n",
"\n",
"# Attach the button click event handler\n",
"generate_button.on_click(on_generate_button_clicked)\n",
"\n",
"# Display the widgets\n",
"display(prompt_dropdown, team_dropdown, model_dropdown, custom_prompt_input, generate_button, output)"
]
}
],
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"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.12.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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