Save kandinsky generated images

kandinsky.txt

# tutorial video link : https://youtu.be/dYt9xJ7dnpU
# colab link : https://colab.research.google.com/drive/1xSbu-b-EwYd6GdaFPRVgvXBX_mciZ41e?usp=sharing
# repo link : https://github.com/ai-forever/Kandinsky-2
# used repo commit hash : a4354c04d5fbd48851866ef7d84ec444d3d50102

# those who getting cuda error
# pip uninstall torch
# pip3 install torch==1.13.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117

import os
import uuid
from PIL import Image

# Set the number of iterations
num_iterations = 10

for iteration in range(num_iterations):
    print(f"Generating images for iteration {iteration + 1}/{num_iterations}...")
    
    images = model.generate_text2img(
        "lion, jungle, cartoon, ultra realistic",
        num_steps=40,
        batch_size=1,
        guidance_scale=4,
        h=768,
        w=768,
        sampler='p_sampler', 
        prior_cf_scale=4,
        prior_steps="5"
    )

    # path to the folder where the images will be saved
    folder_path = 'C:/Kandinsky-2/imgs'

    # generate a unique identifier
    guid = uuid.uuid4()

    # loop through all images in the list
    for i, image in enumerate(images):
        # create the file name using the GUID, index, and the image file extension
        file_name = f"{guid}_{i}.png"
        
        # display the image
        display(image)
        
        # save the image to the folder with the GUID and index name
        file_path = os.path.join(folder_path, file_name)
        image.save(file_path)
    
    remaining_iterations = num_iterations - (iteration + 1)
    print(f"Completed iteration {iteration + 1}/{num_iterations}. {remaining_iterations} iteration(s) remaining.")

pip install jupyterlab

jupyter-lab

if you have a problem with
pip3 install torch==1.13.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
make sure you have python 3.10