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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
from ..utils import common_annotator_call, define_preprocessor_inputs, INPUT
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class Tile_Preprocessor:
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@classmethod
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def INPUT_TYPES(s):
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return define_preprocessor_inputs(
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pyrUp_iters=INPUT.INT(default=3, min=1, max=10),
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resolution=INPUT.RESOLUTION()
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)
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "execute"
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CATEGORY = "ControlNet Preprocessors/tile"
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def execute(self, image, pyrUp_iters, resolution=512, **kwargs):
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from custom_controlnet_aux.tile import TileDetector
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return (common_annotator_call(TileDetector(), image, pyrUp_iters=pyrUp_iters, resolution=resolution),)
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class TTPlanet_TileGF_Preprocessor:
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@classmethod
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def INPUT_TYPES(s):
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return define_preprocessor_inputs(
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scale_factor=INPUT.FLOAT(default=1.00, min=1.000, max=8.00),
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blur_strength=INPUT.FLOAT(default=2.0, min=1.0, max=10.0),
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radius=INPUT.INT(default=7, min=1, max=20),
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eps=INPUT.FLOAT(default=0.01, min=0.001, max=0.1, step=0.001),
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resolution=INPUT.RESOLUTION()
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)
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "execute"
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CATEGORY = "ControlNet Preprocessors/tile"
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def execute(self, image, scale_factor, blur_strength, radius, eps, **kwargs):
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from custom_controlnet_aux.tile import TTPlanet_Tile_Detector_GF
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return (common_annotator_call(TTPlanet_Tile_Detector_GF(), image, scale_factor=scale_factor, blur_strength=blur_strength, radius=radius, eps=eps),)
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class TTPlanet_TileSimple_Preprocessor:
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@classmethod
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def INPUT_TYPES(s):
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return define_preprocessor_inputs(
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scale_factor=INPUT.FLOAT(default=1.00, min=1.000, max=8.00),
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blur_strength=INPUT.FLOAT(default=2.0, min=1.0, max=10.0),
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)
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "execute"
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CATEGORY = "ControlNet Preprocessors/tile"
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def execute(self, image, scale_factor, blur_strength):
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from custom_controlnet_aux.tile import TTPLanet_Tile_Detector_Simple
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return (common_annotator_call(TTPLanet_Tile_Detector_Simple(), image, scale_factor=scale_factor, blur_strength=blur_strength),)
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NODE_CLASS_MAPPINGS = {
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"TilePreprocessor": Tile_Preprocessor,
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"TTPlanet_TileGF_Preprocessor": TTPlanet_TileGF_Preprocessor,
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"TTPlanet_TileSimple_Preprocessor": TTPlanet_TileSimple_Preprocessor
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"TilePreprocessor": "Tile",
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"TTPlanet_TileGF_Preprocessor": "TTPlanet Tile GuidedFilter",
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"TTPlanet_TileSimple_Preprocessor": "TTPlanet Tile Simple"
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}
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