74 lines
2.4 KiB
Python
74 lines
2.4 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 .data_utils import retrieve_parameter
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from .names import Names
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from .ui import UI
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# ====================================================================================================
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# Outputs for SDXL Sampler
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# ====================================================================================================
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class SeargeSDXLSamplerV4Outputs:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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},
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"optional": {
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"data": ("SRG_DATA_STREAM",),
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"sampler_output": ("SRG_DATA_STREAM",),
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},
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}
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RETURN_TYPES = ("SRG_DATA_STREAM", "LATENT",)
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RETURN_NAMES = ("data", "latent",)
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FUNCTION = "output"
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CATEGORY = UI.CATEGORY_SAMPLING
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@staticmethod
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def get_data(data=None, sampler_output=None):
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if sampler_output is None:
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sampler_output = retrieve_parameter(Names.SAMPLER_OUTPUT, data)
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if sampler_output is None:
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return (False, None,)
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return (True, {
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Names.LATENT_IMAGE: sampler_output,
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})
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def output(self, data=None, sampler_output=None):
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(has_data, output) = self.get_data(data, sampler_output)
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if not has_data:
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return (data, None,)
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return (data, output[Names.LATENT_IMAGE],)
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