AmericanPresidentJimmyCarter

from PIL import Image
import stable_inference
import numpy as np
from einops import repeat

# Interpolate video between two conditionings
FOLDER = 'test/painting'
MAX_STRENGTH = 0.5 # Strength at maximum in the middle of the interpolation
SEED = 9001
SECONDS = 10

AmericanPresidentJimmyCarter

from PIL import Image
import stable_inference
import numpy as np
from einops import repeat

'''
Interpolate between two images with a prompt of what you expect the midstate to be.

Alter the stuff below here to whatever you need it to be.
'''

AmericanPresidentJimmyCarter

from PIL import Image
import stable_inference
import torch
from einops import repeat

def image_grid(imgs, rows, cols):
    assert len(imgs) == rows*cols

    w, h = imgs[0].size
    grid = Image.new('RGB', size=(cols*w, rows*h))

AmericanPresidentJimmyCarter

import argparse
from pathlib import Path
import sys
import torch

THRESHOLD_STRENGTH = 2.
DEFAULT_OUT_NAME = 'output.ckpt'

parser = argparse.ArgumentParser(description='Create a compressed dreambooth patch or patch weights')
parser.add_argument('mode', type=str, help='"compress" or "inflate"')