""" Custom nodes for SDXL in ComfyUI MIT License Copyright (c) 2023 Searge Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ # UI: Parameter Processor class SeargeParameterProcessor: # hard - refiner uses same seed as base | soft - refiner uses different seed from base REFINER_INTENSITY = ["hard", "soft"] # same - HRF uses same seed as image generation | distinct - HRF uses different seed than image generation HRF_SEED_OFFSET = ["same", "distinct"] # simple "boolean"-like type STATES = ["disabled", "enabled"] # operating modes, determine if the latent source is empty or from a source image, inpainting also uses mask OPERATION_MODE = ["text to image", "image to image", "inpainting"] # sorted from easy-to-use to harder-to-use PROMPT_STYLE = ["simple", "3 prompts G+L-N", "subject focus", "style focus", "weighted", "overlay", "subject - style", "style - subject", "style only", "weighted - overlay", "overlay - weighted"] # (work in progress) STYLE_TEMPLATE = ["none", "from preprocessor", "test"] # save folder for generated images SAVE_TO = ["output folder", "input folder"] @classmethod def INPUT_TYPES(s): return {"required": { "inputs": ("PARAMETER_INPUTS", ), }, } RETURN_TYPES = ("PARAMETERS", ) RETURN_NAMES = ("parameters", ) FUNCTION = "process" CATEGORY = "Searge/UI" def process(self, inputs): if inputs is None: parameters = {} else: parameters = inputs if parameters["denoise"] is None: parameters["denoise"] = 1.0 saturation = parameters["refiner_intensity"] if saturation is not None: # "soft" if saturation == SeargeParameterProcessor.REFINER_INTENSITY[1]: parameters["noise_offset"] = 1 # incl. SeargeParameterProcessor.REFINER_INTENSITY[1] -> "hard" else: parameters["noise_offset"] = 0 hires_fix = parameters["hires_fix"] # "disabled" if hires_fix is not None and hires_fix == SeargeParameterProcessor.STATES[0]: parameters["hrf_steps"] = 0 hrf_saturation = parameters["hrf_intensity"] if hrf_saturation is not None: # "soft" if hrf_saturation == SeargeParameterProcessor.REFINER_INTENSITY[1]: parameters["hrf_noise_offset"] = 1 # incl. SeargeParameterProcessor.REFINER_INTENSITY[0] -> "hard" else: parameters["hrf_noise_offset"] = 0 seed_offset = parameters["hrf_seed_offset"] if seed_offset is not None: seed = parameters["seed"] if parameters["seed"] is not None else 0 # "distinct" if seed_offset == SeargeParameterProcessor.HRF_SEED_OFFSET[1]: parameters["hrf_seed"] = seed + 3 # incl. SeargeParameterProcessor.HRF_SEED_OFFSET[0] -> "same" else: parameters["hrf_seed"] = seed style_template = parameters["style_template"] if style_template is not None: # "from preprocessor" if style_template == SeargeParameterProcessor.STYLE_TEMPLATE[1]: # this does nothing here, but will be used in the preprocessor pass # "test" if style_template == SeargeParameterProcessor.STYLE_TEMPLATE[2]: if parameters["noise_offset"] is not None: parameters["noise_offset"] = 1 - parameters["hrf_noise_offset"] if parameters["hrf_noise_offset"] is not None: parameters["hrf_noise_offset"] = 1 - parameters["hrf_noise_offset"] # incl. SeargeParameterProcessor.STYLE_TEMPLATE[0] -> "none" else: # TODO: apply style based on its name here... pass operation_mode = parameters["operation_mode"] if operation_mode is not None: # "image to image": if operation_mode == SeargeParameterProcessor.OPERATION_MODE[1]: parameters["operation_selector"] = 1 # "inpainting": elif operation_mode == SeargeParameterProcessor.OPERATION_MODE[2]: parameters["operation_selector"] = 2 # incl. SeargeParameterProcessor.OPERATION_MODE[0] -> "text to image": else: parameters["operation_selector"] = 0 # always fully denoise in img2img mode parameters["denoise"] = 1.0 prompt_style = parameters["prompt_style"] if prompt_style is not None: # "simple" if prompt_style == SeargeParameterProcessor.PROMPT_STYLE[0]: parameters["prompt_style_selector"] = 0 parameters["prompt_style_group"] = 0 main_prompt = parameters["main_prompt"] parameters["secondary_prompt"] = main_prompt parameters["style_prompt"] = "" parameters["negative_style"] = "" # "subject focus" elif prompt_style == SeargeParameterProcessor.PROMPT_STYLE[2]: parameters["prompt_style_selector"] = 1 parameters["prompt_style_group"] = 0 # "style focus" elif prompt_style == SeargeParameterProcessor.PROMPT_STYLE[3]: parameters["prompt_style_selector"] = 2 parameters["prompt_style_group"] = 0 # "weighted" elif prompt_style == SeargeParameterProcessor.PROMPT_STYLE[4]: parameters["prompt_style_selector"] = 3 parameters["prompt_style_group"] = 0 # "overlay" elif prompt_style == SeargeParameterProcessor.PROMPT_STYLE[5]: parameters["prompt_style_selector"] = 4 parameters["prompt_style_group"] = 0 # "subject - style" elif prompt_style == SeargeParameterProcessor.PROMPT_STYLE[6]: parameters["prompt_style_selector"] = 0 parameters["prompt_style_group"] = 1 # "style - subject" elif prompt_style == SeargeParameterProcessor.PROMPT_STYLE[7]: parameters["prompt_style_selector"] = 1 parameters["prompt_style_group"] = 1 # "style only" elif prompt_style == SeargeParameterProcessor.PROMPT_STYLE[8]: parameters["prompt_style_selector"] = 2 parameters["prompt_style_group"] = 1 # "weighted - overlay" elif prompt_style == SeargeParameterProcessor.PROMPT_STYLE[9]: parameters["prompt_style_selector"] = 3 parameters["prompt_style_group"] = 1 # "overlay - weighted" elif prompt_style == SeargeParameterProcessor.PROMPT_STYLE[10]: parameters["prompt_style_selector"] = 4 parameters["prompt_style_group"] = 1 # incl. SeargeParameterProcessor.PROMPT_STYLE[1] -> "3 prompts G+L-N" else: parameters["prompt_style_selector"] = 0 parameters["prompt_style_group"] = 0 parameters["style_prompt"] = "" parameters["negative_style"] = "" # TODO: replace this special logic and the dirty hacks by creating new generated parameters for saving save_image = parameters["save_image"] if save_image is not None: # "disabled" if save_image == SeargeParameterProcessor.STATES[0]: # when image saving is disabled, we also don't want to save the upscaled image, even if that's enabled parameters["save_upscaled_image"] = SeargeParameterProcessor.STATES[0] # HACK: this is a bit dirty, but the variable hires_fix determines if the image should be saved # but when image saving is disabled, we don't want that to happen parameters["hires_fix"] = SeargeParameterProcessor.STATES[0] # "enabled" else: # in case we are saving to the input folder, we need to enable saving after the hires fix, even # if that's disabled in the settings if parameters["save_directory"] == SeargeParameterProcessor.SAVE_TO[1]: parameters["hires_fix"] = SeargeParameterProcessor.STATES[1] return (parameters, ) # UI: Style Processor class SeargeStylePreprocessor: @classmethod def INPUT_TYPES(s): return {"required": { "inputs": ("PARAMETER_INPUTS", ), "active_style_name": ("STRING", {"multiline": False, "default": ""}), "style_definitions": ("STRING", {"multiline": True, "default": "[unfinished work in progress]"}), }, } RETURN_TYPES = ("PARAMETER_INPUTS", ) RETURN_NAMES = ("inputs", ) FUNCTION = "process" CATEGORY = "Searge/UI" def process(self, inputs, active_style_name, style_definitions): if inputs is None: inputs = {} style_template = inputs["style_template"] # not "from preprocessor" if style_template is None or style_template != SeargeParameterProcessor.STYLE_TEMPLATE[1]: return (inputs,) # TODO: do what needs to be done to apply the selected style return (inputs, )