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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>
42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
from nodes import PreviewImage
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from .constants import get_category, get_name
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class RgthreeImageComparer(PreviewImage):
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"""A node that compares two images in the UI."""
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NAME = get_name('Image Comparer')
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CATEGORY = get_category()
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FUNCTION = "compare_images"
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DESCRIPTION = "Compares two images with a hover slider, or click from properties."
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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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"optional": {
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"image_a": ("IMAGE",),
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"image_b": ("IMAGE",),
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},
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"hidden": {
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"prompt": "PROMPT",
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"extra_pnginfo": "EXTRA_PNGINFO"
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},
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}
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def compare_images(self,
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image_a=None,
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image_b=None,
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filename_prefix="rgthree.compare.",
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prompt=None,
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extra_pnginfo=None):
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result = { "ui": { "a_images":[], "b_images": [] } }
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if image_a is not None and len(image_a) > 0:
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result['ui']['a_images'] = self.save_images(image_a, filename_prefix, prompt, extra_pnginfo)['ui']['images']
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if image_b is not None and len(image_b) > 0:
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result['ui']['b_images'] = self.save_images(image_b, filename_prefix, prompt, extra_pnginfo)['ui']['images']
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return result |