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import gradio as gr
import torch
from PIL import Image
# Список моделей
models = [
"CLIP",
"DALL-E 2",
"VQGAN + CLIP",
"VQGAN",
"Dreams",
"VQGAN-CLIP-ADA",
"DALL-E Mini",
"VQGAN-CLIP-Ada-Mini",
"DALL-E Mini-Fusion",
"VQGAN-CLIP-Ada-Mini-Fusion",
"DALL-E 2 Mini",
"VQGAN-CLIP-Ada-Mini-2",
]
# Функция генерации изображения
def generate_image(prompt, negative_prompt, model):
if model == "CLIP":
from clip import clip
image = clip.generate(prompt, negative_prompt)
elif model == "DALL-E 2":
from d2l import d2l
image = d2l.generate_image(prompt, negative_prompt)
elif model == "VQGAN + CLIP":
from vqgan_clip import vqgan_clip
image = vqgan_clip.generate(prompt, negative_prompt)
elif model == "VQGAN":
from vqgan import vqgan
image = vqgan.generate(prompt, negative_prompt)
elif model == "Dreams":
from dreams import dreams
image = dreams.generate(prompt, negative_prompt)
elif model == "VQGAN-CLIP-ADA":
from vqgan_clip_ada import vqgan_clip_ada
image = vqgan_clip_ada.generate(prompt, negative_prompt)
elif model == "DALL-E Mini":
from dall_e_mini import dall_e_mini
image = dall_e_mini.generate(prompt, negative_prompt)
elif model == "VQGAN-CLIP-Ada-Mini":
from vqgan_clip_ada_mini import vqgan_clip_ada_mini
image = vqgan_clip_ada_mini.generate(prompt, negative_prompt)
elif model == "DALL-E Mini-Fusion":
from dall_e_mini_fusion import dall_e_mini_fusion
image = dall_e_mini_fusion.generate(prompt, negative_prompt)
elif model == "VQGAN-CLIP-Ada-Mini-Fusion":
from vqgan_clip_ada_mini_fusion import vqgan_clip_ada_mini_fusion
image = vqgan_clip_ada_mini_fusion.generate(prompt, negative_prompt)
elif model == "DALL-E 2 Mini":
from dall_e_2_mini import dall_e_2_mini
image = dall_e_2_mini.generate(prompt, negative_prompt)
elif model == "VQGAN-CLIP-Ada-Mini-2":
from vqgan_clip_ada_mini_2 import vqgan_clip_ada_mini_2
image = vqgan_clip_ada_mini_2.generate(prompt, negative_prompt)
image = Image.fromarray(image)
return image
# Функция улучшения качества изображения
def improve_image(image):
from improve_image import improve_image
image = improve_image(image)
return image
# Интерфейс gradio
app = gr.Interface(
generate_image,
title="Gradio Image Generator",
description="Генератор изображений с помощью ИИ",
inputs=[
gr.Textbox(label="Текстовый запрос"),
gr.Textbox(label="Отрицательный текстовый запрос"),
gr.Dropdown(choices=models, label="Модель"),
],
outputs=[
gr.Image(label="Сгенерированное изображение")
],
buttons=[
gr.Button("Улучшить качество", fn=improve_image)
]
)
if __name__ == "__main__":
app.launch()
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