75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
"""
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Custom nodes for SDXL in ComfyUI
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MIT License
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Copyright (c) 2023 Searge
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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"""
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from .ui import UI
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# ====================================================================================================
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# UI: Operating Mode Input
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# ====================================================================================================
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class SeargeOperatingMode:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"workflow_mode": (UI.WORKFLOW_MODES, {"default": UI.WF_MODE_TEXT_TO_IMAGE},),
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"prompting_mode": (UI.PROMPTING_MODES, {"default": UI.PROMPTING_DEFAULT},),
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"batch_size": ("INT", {"default": 1, "min": 1, "max": 4, "step": 1},),
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},
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"optional": {
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"data": ("SRG_DATA_STREAM",),
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},
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}
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RETURN_TYPES = ("SRG_DATA_STREAM",)
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RETURN_NAMES = ("data",)
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FUNCTION = "get"
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CATEGORY = UI.CATEGORY_UI_INPUTS
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@staticmethod
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def create_dict(workflow_mode, prompting_mode, batch_size):
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return {
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UI.F_WORKFLOW_MODE: workflow_mode,
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UI.F_PROMPTING_MODE: prompting_mode,
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UI.F_BATCH_SIZE: batch_size,
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}
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def get(self, workflow_mode, prompting_mode, batch_size, data=None):
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if data is None:
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data = {}
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data[UI.S_OPERATING_MODE] = self.create_dict(
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workflow_mode,
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prompting_mode,
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batch_size,
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)
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return (data,)
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