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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>
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
import os
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import folder_paths
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from nodes import CLIPTextEncode
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from .constants import get_category, get_name
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from .power_prompt import RgthreePowerPrompt
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class RgthreePowerPromptSimple(RgthreePowerPrompt):
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NAME=get_name('Power Prompt - Simple')
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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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# Removed Saved Prompts feature; No sure it worked any longer. UI should fail gracefully,
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# TODO: Rip out saved prompt input data
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SAVED_PROMPTS_FILES=[]
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SAVED_PROMPTS_CONTENT=[]
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return {
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'required': {
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'prompt': ('STRING', {'multiline': True, 'dynamicPrompts': True}),
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},
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'optional': {
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"opt_clip": ("CLIP", ),
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'insert_embedding': (['CHOOSE',] + [os.path.splitext(x)[0] for x in folder_paths.get_filename_list('embeddings')],),
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'insert_saved': (['CHOOSE',] + SAVED_PROMPTS_FILES,),
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},
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'hidden': {
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'values_insert_saved': (['CHOOSE'] + SAVED_PROMPTS_CONTENT,),
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}
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}
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RETURN_TYPES = ('CONDITIONING', 'STRING',)
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RETURN_NAMES = ('CONDITIONING', 'TEXT',)
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FUNCTION = 'main'
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def main(self, prompt, opt_clip=None, insert_embedding=None, insert_saved=None, values_insert_saved=None):
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conditioning=None
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if opt_clip != None:
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conditioning = CLIPTextEncode().encode(opt_clip, prompt)[0]
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return (conditioning, prompt)
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