a ś žd[ć@s¾ddlmZdd„Zdd„Zdd„Zdd „Zd d „Zd d „Zdd„Zdd„Z dd„Z dd„Z dd„Z d/dd„Z d0dd„Zdd„Zd d!„Zd"d#„Zd$d%„Zd&d'„Zd(d)„Zd*d+„Zd1d-d.„Zd,S)2é)ŚImagecCst d|j|”S)zVFill a channel with a given grey level. :rtype: :py:class:`~PIL.Image.Image` ŚL)rŚnewŚsize)ŚimageŚvalue©rśW/var/www/html/stable-diffusion-webui/venv/lib/python3.9/site-packages/PIL/ImageChops.pyŚconstantsr cCs| ”S)ziCopy a channel. Alias for :py:meth:`PIL.Image.Image.copy`. :rtype: :py:class:`~PIL.Image.Image` )Ścopy©rrrr Ś duplicatesr cCs| ”| |j ””S)zl Invert an image (channel). :: out = MAX - image :rtype: :py:class:`~PIL.Image.Image` )ŚloadŚ_newŚimZ chop_invertr rrr Śinvert's rcCs$| ”| ”| |j |j””S)z½ Compares the two images, pixel by pixel, and returns a new image containing the lighter values. :: out = max(image1, image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_lighter©Śimage1Śimage2rrr Ślighter4s rcCs$| ”| ”| |j |j””S)z¼ Compares the two images, pixel by pixel, and returns a new image containing the darker values. :: out = min(image1, image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_darkerrrrr ŚdarkerCs rcCs$| ”| ”| |j |j””S)z² Returns the absolute value of the pixel-by-pixel difference between the two images. :: out = abs(image1 - image2) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_differencerrrr Ś differenceRs rcCs$| ”| ”| |j |j””S)a Superimposes two images on top of each other. If you multiply an image with a solid black image, the result is black. If you multiply with a solid white image, the image is unaffected. :: out = image1 * image2 / MAX :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_multiplyrrrr Śmultiplyas rcCs$| ”| ”| |j |j””S)zŖ Superimposes two inverted images on top of each other. :: out = MAX - ((MAX - image1) * (MAX - image2) / MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_screenrrrr Śscreenrs rcCs$| ”| ”| |j |j””S)z Superimposes two images on top of each other using the Soft Light algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_soft_lightrrrr Ś soft_light€srcCs$| ”| ”| |j |j””S)z Superimposes two images on top of each other using the Hard Light algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_hard_lightrrrr Ś hard_lightŒsrcCs$| ”| ”| |j |j””S)z| Superimposes two images on top of each other using the Overlay algorithm :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_overlayrrrr Śoverlay˜srēš?écCs(| ”| ”| |j |j||””S)zé Adds two images, dividing the result by scale and adding the offset. If omitted, scale defaults to 1.0, and offset to 0.0. :: out = ((image1 + image2) / scale + offset) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_add©rrZscaleŚoffsetrrr Śadd¤s r!cCs(| ”| ”| |j |j||””S)zī Subtracts two images, dividing the result by scale and adding the offset. If omitted, scale defaults to 1.0, and offset to 0.0. :: out = ((image1 - image2) / scale + offset) :rtype: :py:class:`~PIL.Image.Image` )rrrZ chop_subtractrrrr Śsubtract³s r"cCs$| ”| ”| |j |j””S)z‡Add two images, without clipping the result. :: out = ((image1 + image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_add_modulorrrr Ś add_moduloĀsr#cCs$| ”| ”| |j |j””S)zŒSubtract two images, without clipping the result. :: out = ((image1 - image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_subtract_modulorrrr Śsubtract_moduloĻsr$cCs$| ”| ”| |j |j””S)ajLogical AND between two images. Both of the images must have mode "1". If you would like to perform a logical AND on an image with a mode other than "1", try :py:meth:`~PIL.ImageChops.multiply` instead, using a black-and-white mask as the second image. :: out = ((image1 and image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_andrrrr Ś logical_andÜs r%cCs$| ”| ”| |j |j””S)z¦Logical OR between two images. Both of the images must have mode "1". :: out = ((image1 or image2) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_orrrrr Ś logical_orīs r&cCs$| ”| ”| |j |j””S)z³Logical XOR between two images. Both of the images must have mode "1". :: out = ((bool(image1) != bool(image2)) % MAX) :rtype: :py:class:`~PIL.Image.Image` )rrrZchop_xorrrrr Ś logical_xorżs r'cCst |||”S)z‰Blend images using constant transparency weight. Alias for :py:func:`PIL.Image.blend`. :rtype: :py:class:`~PIL.Image.Image` )rŚblend)rrŚalpharrr r( sr(cCst |||”S)z†Create composite using transparency mask. Alias for :py:func:`PIL.Image.composite`. :rtype: :py:class:`~PIL.Image.Image` )rŚ composite)rrŚmaskrrr r*sr*NcCs(|dur |}| ”| |j ||””S)aReturns a copy of the image where data has been offset by the given distances. Data wraps around the edges. If ``yoffset`` is omitted, it is assumed to be equal to ``xoffset``. :param image: Input image. :param xoffset: The horizontal distance. :param yoffset: The vertical distance. If omitted, both distances are set to the same value. :rtype: :py:class:`~PIL.Image.Image` N)rrrr )rZxoffsetZyoffsetrrr r s r )rr)rr)N)Śrr r rrrrrrrrrr!r"r#r$r%r&r'r(r*r rrrr Śs*