""" 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. """ # ==================================================================================================== # Names to be used for data streams and the structures & fields in them # ==================================================================================================== class Names: PLACEHOLDER = "placeholder" S_EXAMPLE_STRUCTURE = "example_structure" F_EXAMPLE_FIELD = "example_field" # ---------------------------------------- # structures and fields # ---------------------------------------- # magic box B_MAGIC_BOX_ENABLED = "magic_box_enabled" # pre-processor S_MAGIC_BOX_HIDDEN = "hidden_fields" F_MAGIC_BOX_PROMPT = "prompt" F_MAGIC_BOX_EXTRA_PNGINFO = "pnginfo" S_MAGIC_BOX_VERSION = "version_info" F_MAGIC_BOX_EXTENSION = "extension_version" F_MAGIC_BOX_WORKFLOW = "workflow_version" S_CONDITION_ZEROING = "condition_zeroing" F_ZERO_POSITIVES = "zero_positives" F_ZERO_NEGATIVES = "zero_negatives" # vae decoder stage outputs S_VAE_DECODED = "vae_decoded" F_DECODED_IMAGE = "image" F_POST_PROCESSED = "post_processed" # checkpoint loader S_LOADED_MODELS = "loaded_models" F_BASE_MODEL = "base_model" F_BASE_CLIP = "base_clip" F_BASE_VAE = "base_vae" F_REFINER_MODEL = "refiner_model" F_REFINER_CLIP = "refiner_clip" F_REFINER_VAE = "refiner_vae" F_VAE_MODEL = "vae_model" F_HIRES_UPSCALER = "hires_upscaler" F_PRIMARY_UPSCALER = "primary_upscaler" F_SECONDARY_UPSCALER = "secondary_upscaler" F_DETAIL_PROCESSOR = "detail_processor" F_CLIP_VISION_MODEL = "clip_vision_model" F_CN_CANNY_MODEL = "cn_canny_model" F_CN_DEPTH_MODEL = "cn_depth_model" F_CN_RECOLOR_MODEL = "cn_recolor_model" F_CN_SKETCH_MODEL = "cn_sketch_model" F_CN_CUSTOM_MODEL = "cn_custom_model" # apply loras S_LOADED_LORAS = "loaded_loras" F_LORA_NAMES = "lora_names" # clip conditioning S_PROCESSED_PROMPTS = "processed_prompts" F_BASE_POSITIVE_MAIN_PROMPT = "base_positive_main_prompt" F_BASE_POSITIVE_SECONDARY_PROMPT = "base_positive_secondary_prompt" F_BASE_POSITIVE_STYLE_PROMPT = "base_positive_style_prompt" F_BASE_NEGATIVE_MAIN_PROMPT = "base_negative_main_prompt" F_BASE_NEGATIVE_SECONDARY_PROMPT = "base_negative_secondary_prompt" F_BASE_NEGATIVE_STYLE_PROMPT = "base_negative_style_prompt" F_REFINER_POSITIVE_PROMPT = "refiner_positive_prompt" F_REFINER_POSITIVE_STYLE_PROMPT = "refiner_positive_style_prompt" F_REFINER_NEGATIVE_PROMPT = "refiner_negative_prompt" F_REFINER_NEGATIVE_STYLE_PROMPT = "refiner_negative_style_prompt" S_CONDITIONING = "conditioning" F_BASE_POSITIVE = "base_positive" F_BASE_POSITIVE_STYLE = "base_positive_style" F_BASE_NEGATIVE = "base_negative" F_BASE_NEGATIVE_STYLE = "base_negative_style" F_REFINER_POSITIVE = "refiner_positive" F_REFINER_POSITIVE_STYLE = "refiner_positive_style" F_REFINER_NEGATIVE = "refiner_negative" F_REFINER_NEGATIVE_STYLE = "refiner_negative_style" # apply controlnet S_CONTROLNET_OUTPUT = "controlnet_output" F_CN_BASE_POSITIVE = "cn_base_positive" F_CN_BASE_NEGATIVE = "cn_base_negative" # latent inputs S_LATENT_INPUTS = "latent_inputs" F_LATENT_IMAGE = "latent_image" # sampler S_SAMPLED_IMAGE = "sampled_image" F_LATENT_SAMPLED = "latent_sampled" # latent detailer S_LATENT_DETAILED = "latent_detailed" F_DETAILED_SAMPLED = "detailed_sampled" # vae decode sampled S_VAE_DECODED_SAMPLED = "vae_decoded_sampled" F_DECODED_SAMPLED_IMAGE = "sampled_image" F_SAMPLED_POST_PROCESSED = "sampled_post_processed" # high resolution S_HIRES_OUTPUT = "hires_output" F_LATENT_HIRES = "latent_hires" # hires detailer S_HIRES_DETAILED = "hires_detailed" F_DETAILED_HIRES = "detailed_hires" # vae decode hires S_VAE_DECODED_HIRES = "vae_decoded_hires" F_DECODED_HIRES_IMAGE = "hires_image" F_HIRES_POST_PROCESSED = "hires_post_processed" # upscaling S_UPSCALED = "upscaled" F_UPSCALED_IMAGE = "upscaled_image" # image saving S_SAVED_FILES = "saved_files" F_GENERATED_IMAGE_PATH = "generated_image_path" F_HIGH_RES_IMAGE_PATH = "high_res_image_path" F_UPSCALED_IMAGE_PATH = "upscaled_image_path" F_PARAMETER_FILE_PATH = "parameter_file_path" # ---------------------------------------- # cache names # ---------------------------------------- # pre-processor C_SOURCE_IMAGE = "source_image" C_IMAGE_SIZE = "image_size" C_SOURCE_MASK = "source_mask" C_BLURRY_MASK = "blurry_mask" # checkpoint loader C_BASE_CHECKPOINT = "base_checkpoint" C_REFINER_CHECKPOINT = "refiner_checkpoint" C_VAE_CHECKPOINT = "vae_checkpoint" C_HIRES_UPSCALE_MODEL = "hires_upscale_checkpoint" C_PRIMARY_UPSCALE_MODEL = "primary_upscale_checkpoint" C_SECONDARY_UPSCALE_MODEL = "secondary_upscale_checkpoint" C_DETAIL_PROCESSOR_MODEL = "detail_processor_checkpoint" C_CLIP_VISION_MODEL = "clip_vision_checkpoint" C_CN_CANNY_MODEL = "cn_canny_checkpoint" C_CN_DEPTH_MODEL = "cn_depth_checkpoint" C_CN_RECOLOR_MODEL = "cn_recolor_checkpoint" C_CN_SKETCH_MODEL = "cn_sketch_checkpoint" C_CN_CUSTOM_MODEL = "cn_custom_checkpoint" # apply loras C_APPLIED_LORAS = "applied_loras" # clip conditioning C_PROCESSED_PROMPTS = "processed_prompts" C_BASE_CONDITIONING = "base_conditioning" C_REFINER_CONDITIONING = "refiner_conditioning" # apply controlnet C_APPLIED_CONTROLNET = "applied_controlnet" # latent inputs C_LATENT_FROM_IMAGE = "latent_from_image" C_IMAGE_MASK = "image_mask" C_LATENT_WITH_MASK = "latent_with_mask" C_EMPTY_LATENT = "empty_latent" # sampler C_SAMPLED = "sampled" # latent detailer C_SAMPLED_DETAILER = "sampled_detailer" # vae decode sampled C_VAE_DECODED = "vae_decoded" C_POST_PROCESSED = "post_processed" # high resolution C_HIRES_LATENT = "hires_latent" C_HIRES_LATENT_SIMPLE = "hires_latent_simple" C_HIRES_LATENT_NORMAL = "hires_latent_normal" # hires detailer C_HIRES_DETAILER = "hires_detailer" # vae decode sampled C_VAE_DECODED_HIRES = "vae_decoded_hires" C_POST_PROCESSED_HIRES = "post_processed_hires" # upscaling C_UPSCALED_IMAGE = "upscaled_image" # ---------------------------------------- # pipeline stream names # ---------------------------------------- P_IMAGE = "image" P_MASK = "mask" P_LATENT = "latent" P_BASE_MODEL = "base_model" P_BASE_CLIP = "base_clip" P_BASE_VAE = "base_vae" P_REFINER_MODEL = "refiner_model" P_REFINER_CLIP = "refiner_clip" P_REFINER_VAE = "refiner_vae" P_VAE_MODEL = "vae_model" P_HIRES_UPSCALER = "hires_upscaler" P_PRIMARY_UPSCALER = "primary_upscaler" P_SECONDARY_UPSCALER = "secondary_upscaler" P_DETAIL_PROCESSOR = "detail_processor" P_CLIP_VISION_MODEL = "clip_vision_model" P_CN_CANNY_MODEL = "cn_canny_model" P_CN_DEPTH_MODEL = "cn_depth_model" P_CN_RECOLOR_MODEL = "cn_recolor_model" P_CN_SKETCH_MODEL = "cn_sketch_model" P_CN_CUSTOM_MODEL = "cn_custom_model" P_PROCESSED_PROMPTS = "processed_prompts" P_BASE_CONDITIONING = "base_conditioning" P_REFINER_CONDITIONING = "refiner_conditioning"