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import gradio as gr
import os
import sys
from pathlib import Path
import os
import numpy as np
from gradio import *
models = [
{"name": "Stable Diffusion 2", "url": "stabilityai/stable-diffusion-2-1"},
{"name": "stability AI", "url": "stabilityai/stable-diffusion-2-1-base"},
{"name": "XL-Refiner-1.0", "url": "stabilityai/stable-diffusion-xl-refiner-1.0"},
{"name": "Future Diffusion", "url": "nitrosocke/Future-Diffusion"},
{"name": "JWST Deep Space Diffusion", "url": "dallinmackay/JWST-Deep-Space-diffusion"},
{"name": "Robo Diffusion 3 Base", "url": "nousr/robo-diffusion-2-base"},
{"name": "Robo Diffusion", "url": "nousr/robo-diffusion"},
{"name": "Tron Legacy Diffusion", "url": "dallinmackay/Tron-Legacy-diffusion"},
]
current_model = models[0]
text_gen = gr.Interface.load("spaces/daspartho/prompt-extend")
models2 = []
for model in models:
model_url = f"models/{model['url']}"
loaded_model = gr.Interface.load(model_url, live=True, preprocess=True)
models2.append(loaded_model)
def text_it(inputs, text_gen=text_gen):
return text_gen(inputs)
def load_image(image_path):
image = cv2.imread(image_path)
return image
def set_model(current_model_index):
global current_model
current_model = models[current_model_index]
return gr.update(value=f"{current_model['name']}")
def send_it(inputs, model_choice):
proc = models2[model_choice]
return proc(inputs)
with gr.Blocks(css='style.css') as myface:
gr.HTML(
)
with gr.Row():
with gr.Row():
input_text = gr.Textbox(label="Prompt idea", placeholder="", lines=1)
# Model selection dropdown
model_name1 = gr.Dropdown(
label="Choose Model",
choices=[m["name"] for m in models],
type="index",
value=current_model["name"],
interactive=True,
)
with gr.Row():
see_prompts = gr.Button("Generate Prompts")
run = gr.Button("Generate Images", variant="primary")
with gr.Row():
output1 = gr.Image(label="")
output2 = gr.Image(label="")
output3 = gr.Image(label="")
with gr.Row():
magic1 = gr.Textbox(label="Generated Prompt", lines=2)
magic2 = gr.Textbox(label="Generated Prompt", lines=2)
magic3 = gr.Textbox(label="Generated Prompt", lines=2)
with gr.Row():
output4 = gr.Image(label="")
output5 = gr.Image(label="")
output6 = gr.Image(label="")
with gr.Row():
magic4 = gr.Textbox(label="Generated Prompt", lines=2)
magic5 = gr.Textbox(label="Generated Prompt", lines=2)
magic6 = gr.Textbox(label="Generated Prompt", lines=2)
# Set up the GUI
with Blocks() as demo:
# Create a State variable to store the selected image
img = State()
# Define a function to load the image from the local storage directory
def load_image(directory):
# Get the list of files in the directory
filenames = os.listdir(directory)
# Select the first image file (e.g. "image1.jpg")
filename = filenames[0]
# Load the image using numpy.load()
img_data = np.load(os.path.join(directory, filename))
# Convert the image data to a NumPy array
img = np.array(img_data)
return img
# Create a Gallery widget to display the loaded image
gallery = Gallery(directory='home/downloads/images')
# Add the image to the gallery
gallery.add(img)
# Create a Button widget to trigger the darkening of the image
darken_btn = Button("Darken Image")
# Define a function to darken the image
def darken_img(img):
# Darken the image by multiplying each pixel value by 0.8
darkened_img = np.round(img * 0.8).astype(np.uint8)
return darkened_img
# Connect the Button widget to the darken_img function
darken_btn.click(darken_img, [img], [gallery])
# Launch the GUI
demo.launch()
model_name1.change(set_model, inputs=model_name1, outputs=[output1, output2, output3, output4, output5, output6])
run.click(send_it, inputs=[magic1, model_name1], outputs=[output1])
run.click(send_it, inputs=[magic2, model_name1], outputs=[output2])
run.click(send_it, inputs=[magic3, model_name1], outputs=[output3])
run.click(send_it, inputs=[magic4, model_name1], outputs=[output4])
run.click(send_it, inputs=[magic5, model_name1], outputs=[output5])
run.click(send_it, inputs=[magic6, model_name1], outputs=[output6])
see_prompts.click(text_it, inputs=[input_text], outputs=[magic1])
see_prompts.click(text_it, inputs=[input_text], outputs=[magic2])
see_prompts.click(text_it, inputs=[input_text], outputs=[magic3])
see_prompts.click(text_it, inputs=[input_text], outputs=[magic4])
see_prompts.click(text_it, inputs=[input_text], outputs=[magic5])
see_prompts.click(text_it, inputs=[input_text], outputs=[magic6])
myface.queue(concurrency_count=200)
myface.launch(inline=True, show_api=True, max_threads=400)
demo.launch() |