+ upscale_in_type
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+9
-6
@@ -20,7 +20,10 @@ from ._funcs import (
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simple_result_from_approx_wh as _simple_result_from_approx_wh
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)
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from . import _meta
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from .slot_types import *
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from .slot_types import (
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type_dict_res as _type_dict_res,
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type_dict_step_init as _type_dict_step_init
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)
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# ----------------------------------------------------------
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@@ -32,9 +35,9 @@ _return_names_simple = ('width', 'height')
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# A tiny optimization by reusing the same immutable dict:
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_input_types_simple = _deepfreeze({
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'required': {
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'width': (_IO.INT, dict(type_dict_res, **{'tooltip': "Approximate width"})),
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'height': (_IO.INT, dict(type_dict_res, **{'tooltip': "Approximate height"})),
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'step': (_IO.INT, dict(type_dict_step_init, **{'tooltip': (
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'width': (_IO.INT, dict(_type_dict_res, **{'tooltip': "Approximate width"})),
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'height': (_IO.INT, dict(_type_dict_res, **{'tooltip': "Approximate height"})),
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'step': (_IO.INT, dict(_type_dict_step_init, **{'tooltip': (
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"Both width and height will be divisible by this value - by rounding them "
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"to the closest appropriate resolution.\n\n"
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"The default 48 is (8 * 3 * 2), so it's a safe choice because:\n"
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@@ -98,7 +101,7 @@ _tooltip_aspect = (
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_input_types_orient = _deepfreeze({
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'required': {
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'size': (_IO.INT, dict(type_dict_res, **{'tooltip': (
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'size': (_IO.INT, dict(_type_dict_res, **{'tooltip': (
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"Approximate size of one of the image sides.\nWhich one - see the 'size_is_big' and 'landscape' toggles."
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)})),
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'step': _input_types_simple['required']['step'],
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@@ -178,7 +181,7 @@ class BestResolutionFromAspectRatio:
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_input_types_area = _deepfreeze({
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'required': {
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'square_size': (_IO.INT, dict(type_dict_res, **{'tooltip': (
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'square_size': (_IO.INT, dict(_type_dict_res, **{'tooltip': (
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"The total resolution of the image would be the same as of a square with this side.\n"
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"The width and height would be such to respect aspect ratio, but also be as close as possible to the "
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"total number of pixels as in this square image.\n\n"
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+6
-6
@@ -20,9 +20,12 @@ from ._funcs import (
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)
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from . import _meta
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from .enums import *
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from .slot_types import *
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from .nodes_simple import _input_types_area
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from .nodes_prims import _res_priority_in_type, _res_priority_verify
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from .slot_types import (
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type_dict_step_upscale1 as _type_dict_step_upscale1,
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upscale_in_type as _upscale_in_type
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)
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# ----------------------------------------------------------
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@@ -47,11 +50,8 @@ _return_ttips_upscale = _frozendict({
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__extra_inputs_for_upscale_only = {
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'priority': _res_priority_in_type,
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'upscale': (_IO.FLOAT, {
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'default': 1.5, 'min': 1.0, 'max': _sys.float_info.max, 'step': 0.25, 'round': 0.001,
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# 'tooltip': "", # TODO
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}),
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'up_step': (_IO.INT, dict(type_dict_step_upscale1, **{
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'upscale': _upscale_in_type,
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'up_step': (_IO.INT, dict(_type_dict_step_upscale1, **{
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'tooltip': "Same as the main `step`, but for the upscaled resolution.",
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})),
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}
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+8
-1
@@ -7,6 +7,8 @@ import typing as _t
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import sys as _sys
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from comfy.comfy_types.node_typing import IO as _IO
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def number_type_dict(default: int = 512, min: int = 1, max: int = _sys.maxsize, step: int = 1) -> _t.Dict[str, int]:
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"""Prepare type-dict for an input int/float parameter."""
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@@ -20,6 +22,11 @@ def number_type_dict(default: int = 512, min: int = 1, max: int = _sys.maxsize,
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}
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type_dict_res = number_type_dict(1024)
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type_dict_step_init = number_type_dict(48)
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type_dict_step_upscale1 = number_type_dict(128)
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type_dict_res = number_type_dict(1024)
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upscale_in_type = (_IO.FLOAT, {
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'default': 1.5, 'min': 1.0, 'max': _sys.float_info.max, 'step': 0.25, 'round': 0.001,
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# 'tooltip': "", # TODO
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})
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