RefurnishAI / custom_nodes /rgthree-comfy /py /sdxl_power_prompt_simple.py
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"""A simpler SDXL Power Prompt that doesn't load Loras, like for negative."""
import os
import re
import folder_paths
from nodes import MAX_RESOLUTION, LoraLoader
from comfy_extras.nodes_clip_sdxl import CLIPTextEncodeSDXL
from .sdxl_power_prompt_postive import RgthreeSDXLPowerPromptPositive
from .log import log_node_warn, log_node_info, log_node_success
from .constants import get_category, get_name
NODE_NAME = get_name('SDXL Power Prompt - Simple / Negative')
class RgthreeSDXLPowerPromptSimple(RgthreeSDXLPowerPromptPositive):
"""A simpler SDXL Power Prompt that doesn't handle Loras."""
NAME = NODE_NAME
CATEGORY = get_category()
@classmethod
def INPUT_TYPES(cls): # pylint: disable = invalid-name, missing-function-docstring
saved_prompts_files = folder_paths.get_filename_list('saved_prompts')
saved_promptes_content = []
for fname in saved_prompts_files:
with open(folder_paths.get_full_path('saved_prompts', fname), 'r', encoding="utf-8") as file:
saved_promptes_content.append(file.read())
return {
'required': {
'prompt_g': ('STRING', {
'multiline': True
}),
'prompt_l': ('STRING', {
'multiline': True
}),
},
'optional': {
"opt_clip": ("CLIP",),
"opt_clip_width": ("INT", {
"forceInput": True,
"default": 1024.0,
"min": 0,
"max": MAX_RESOLUTION
}),
"opt_clip_height": ("INT", {
"forceInput": True,
"default": 1024.0,
"min": 0,
"max": MAX_RESOLUTION
}),
'insert_embedding': ([
'CHOOSE',
] + [os.path.splitext(x)[0] for x in folder_paths.get_filename_list('embeddings')],),
'insert_saved': ([
'CHOOSE',
] + saved_prompts_files,),
# We'll hide these in the UI for now.
"target_width": ("INT", {
"default": -1,
"min": -1,
"max": MAX_RESOLUTION
}),
"target_height": ("INT", {
"default": -1,
"min": -1,
"max": MAX_RESOLUTION
}),
"crop_width": ("INT", {
"default": -1,
"min": -1,
"max": MAX_RESOLUTION
}),
"crop_height": ("INT", {
"default": -1,
"min": -1,
"max": MAX_RESOLUTION
}),
},
'hidden': {
'values_insert_saved': (['CHOOSE'] + saved_promptes_content,),
}
}
RETURN_TYPES = ('CONDITIONING', 'STRING', 'STRING')
RETURN_NAMES = ('CONDITIONING', 'TEXT_G', 'TEXT_L')
FUNCTION = 'main'
def main(self,
prompt_g,
prompt_l,
opt_clip=None,
opt_clip_width=None,
opt_clip_height=None,
insert_embedding=None,
insert_saved=None,
target_width=-1,
target_height=-1,
crop_width=-1,
crop_height=-1,
values_insert_saved=None):
conditioning = self.get_conditioning(prompt_g, prompt_l, opt_clip, opt_clip_width,
opt_clip_height, target_width, target_height, crop_width, crop_height)
return (conditioning, prompt_g, prompt_l)