app.py

pip install torch==1.9.0+cu111 torchtext==0.10.0 torchvision==0.10.0+cu111 -f https://download.pytorch.org/whl/torch/ -f https://download.pytorch.org/whl/torchvision/

git clone https://github.com/openai/CLIP
# !pip install taming-transformers
git clone https://github.com/CompVis/taming-transformers.git
rm -Rf pixray
git clone https://github.com/dribnet/pixray
pip install ftfy regex tqdm omegaconf pytorch-lightning
pip install kornia==0.6.1
pip install imageio-ffmpeg   
pip install einops
pip install torch-optimizer
pip install easydict
pip install braceexpand
pip install git+https://github.com/pvigier/perlin-numpy
mkdir steps
mkdir models
wget https://user-images.githubusercontent.com/945979/126260797-adc60317-9518-40de-8700-b1f93e81e0ec.png -O this_is_fine.png
wget https://user-images.githubusercontent.com/945979/126415385-d70ff2b0-f021-4238-9621-6180d33b242c.jpg -O perfume.jpg
pip install gradio==2.5.1
import sys
sys.path.append("pixray")

import gradio as gr
import torch
import pixray

# Define the main function
def generate(prompt, quality, style, aspect):
    torch.cuda.empty_cache()
    pixray.reset_settings()
    
    # use_pixeldraw = (style == 'pixel art')
    # use_clipdraw = (style == 'painting')
    pixray.add_settings(prompts=prompt,
                        aspect=aspect,
                        quality=quality,
                        make_video=True)
  
    settings = pixray.apply_settings()
    pixray.do_init(settings)
    pixray.do_run(settings)

    return 'output.png', 'output.mp4'

# Create the UI
prompt = gr.inputs.Textbox(default="Underwater city", label="Text Prompt")
quality = gr.inputs.Radio(choices=['draft', 'normal', 'better'], label="Quality")
# style = gr.inputs.Radio(choices=['image', 'painting','pixel art'], label="Type")
aspect = gr.inputs.Radio(choices=['square', 'widescreen','portrait'], label="Size")

# Launch the demo
iface = gr.Interface(generate, inputs=[prompt, quality, aspect], outputs=['image', 'video'], enable_queue=True, live=False)
iface.launch(debug=True)