def create_images():
i = 0
for n in np.arange(1, 5, 0.02):
i += 1
p = (n - 2) * abs(n - 2) + 2
settings = Settings(
transform=lambda z: power(z, p) + 1.5 * z - 0.5 - 0.25j,
width=2000,
height=2000,
block_size=(1000, 1000),
mirror_x=False)
img = create_image(settings, verbose=True)
img = img.filter(ImageFilter.GaussianBlur(1))
img = img.resize((1920, 1080))
def create_images():
step = 0.02
for n in np.arange(1, 5, step):
i = int(round(n / step))
p = (n - 2) * abs(n - 2) + 2
settings = presets["throne"]
settings.fn = lambda zn, c: power(zn, p) + c
settings.width = 1920 * 2
settings.height = 1080 * 2
settings.block_size = (1000, 1000)
img = create_image(settings, verbose=True)
img = img.filter(ImageFilter.GaussianBlur(1))
img = img.resize((1920, 1080))
img.save(rf"{images_folder}\Pic{i}.jpg", optimize=True, quality=90)
def create_images():
i = 0
for n in np.arange(1, 10, 0.02):
i += 1
p = (n - 2) * abs(n - 2) + 2
settings = Settings(tipe="buddha",
fn=lambda zn, c: power(zn, p) + c,
width=2000,
height=2000,
block_size=(1000, 1000),
mirror_x=True)
img = create_image(settings, verbose=True)
img = img.filter(ImageFilter.GaussianBlur(1))
img = img.resize((1920, 1080))
img.save(rf"{images_folder}\Pic{i}.jpg", optimize=True, quality=90)
def worker():
while True:
i = q.get()
if i is None:
break
n = 1 + i / 50
p = (n - 2) * abs(n - 2) + 2
settings = Settings(
transform=lambda z: power(z, p) + 1.5 * z - 0.5 - 0.25j,
width=2000,
height=2000,
block_size=(1000, 1000),
mirror_x=False)
img = create_image(settings, verbose=True)
img = img.filter(ImageFilter.GaussianBlur(1))
img = img.resize((1920, 1080))
img.save(rf"{images_folder}\Pic{i}.jpg", optimize=True, quality=90)
q.task_done()