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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>
57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
"""Some basic config stuff I use for SDXL."""
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from .constants import get_category, get_name
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from nodes import MAX_RESOLUTION
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import comfy.samplers
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class RgthreeKSamplerConfig:
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"""Some basic config stuff I started using for SDXL, but useful in other spots too."""
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NAME = get_name('KSampler Config')
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CATEGORY = get_category()
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@classmethod
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def INPUT_TYPES(cls): # pylint: disable = invalid-name, missing-function-docstring
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return {
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"required": {
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"steps_total": ("INT", {
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"default": 30,
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"min": 1,
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"max": MAX_RESOLUTION,
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"step": 1,
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}),
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"refiner_step": ("INT", {
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"default": 24,
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"min": 1,
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"max": MAX_RESOLUTION,
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"step": 1,
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}),
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"cfg": ("FLOAT", {
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"default": 8.0,
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"min": 0.0,
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"max": 100.0,
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"step": 0.5,
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}),
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"sampler_name": (comfy.samplers.KSampler.SAMPLERS,),
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"scheduler": (comfy.samplers.KSampler.SCHEDULERS,),
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#"refiner_ascore_pos": ("FLOAT", {"default": 6.0, "min": 0.0, "max": 1000.0, "step": 0.01}),
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#"refiner_ascore_neg": ("FLOAT", {"default": 6.0, "min": 0.0, "max": 1000.0, "step": 0.01}),
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},
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}
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RETURN_TYPES = ("INT", "INT", "FLOAT", comfy.samplers.KSampler.SAMPLERS,
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comfy.samplers.KSampler.SCHEDULERS)
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RETURN_NAMES = ("STEPS", "REFINER_STEP", "CFG", "SAMPLER", "SCHEDULER")
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FUNCTION = "main"
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def main(self, steps_total, refiner_step, cfg, sampler_name, scheduler):
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"""main"""
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return (
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steps_total,
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refiner_step,
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cfg,
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sampler_name,
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scheduler,
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)
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