import json import os # --- Shared Helper --- def read_json_data(json_path): if not os.path.exists(json_path): print(f"[JSON Loader] Warning: File not found at {json_path}") return {} try: with open(json_path, 'r') as f: return json.load(f) except Exception as e: print(f"[JSON Loader] Error: {e}") return {} # ========================================== # 1. STANDARD NODES (Single File) # ========================================== class JSONLoaderLoRA: @classmethod def INPUT_TYPES(s): return {"required": {"json_path": ("STRING", {"default": "", "multiline": False})}} RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "STRING") RETURN_NAMES = ("lora_1_high", "lora_1_low", "lora_2_high", "lora_2_low", "lora_3_high", "lora_3_low") FUNCTION = "load_loras" CATEGORY = "utils/json" def load_loras(self, json_path): data = read_json_data(json_path) return ( str(data.get("lora 1 high", "")), str(data.get("lora 1 low", "")), str(data.get("lora 2 high", "")), str(data.get("lora 2 low", "")), str(data.get("lora 3 high", "")), str(data.get("lora 3 low", "")) ) class JSONLoaderStandard: @classmethod def INPUT_TYPES(s): return {"required": {"json_path": ("STRING", {"default": "", "multiline": False})}} RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "FLOAT", "INT", "STRING", "STRING", "STRING") RETURN_NAMES = ("general_prompt", "general_negative", "current_prompt", "negative", "camera", "flf", "seed", "video_file_path", "reference_image_path", "flf_image_path") FUNCTION = "load_standard" CATEGORY = "utils/json" def load_standard(self, json_path): data = read_json_data(json_path) def to_float(val): try: return float(val) except: return 0.0 def to_int(val): try: return int(float(val)) except: return 0 return ( str(data.get("general_prompt", "")), str(data.get("general_negative", "")), str(data.get("current_prompt", "")), str(data.get("negative", "")), str(data.get("camera", "")), to_float(data.get("flf", 0.0)), to_int(data.get("seed", 0)), str(data.get("video file path", "")), str(data.get("reference image path", "")), str(data.get("flf image path", "")) ) class JSONLoaderVACE: @classmethod def INPUT_TYPES(s): return {"required": {"json_path": ("STRING", {"default": "", "multiline": False})}} RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "FLOAT", "INT", "INT", "INT", "INT", "STRING", "INT", "INT", "STRING", "STRING") RETURN_NAMES = ("general_prompt", "general_negative", "current_prompt", "negative", "camera", "flf", "seed", "frame_to_skip", "input_a_frames", "input_b_frames", "reference_path", "reference_switch", "vace_schedule", "video_file_path", "reference_image_path") FUNCTION = "load_vace" CATEGORY = "utils/json" def load_vace(self, json_path): data = read_json_data(json_path) def to_float(val): try: return float(val) except: return 0.0 def to_int(val): try: return int(float(val)) except: return 0 return ( str(data.get("general_prompt", "")), str(data.get("general_negative", "")), str(data.get("current_prompt", "")), str(data.get("negative", "")), str(data.get("camera", "")), to_float(data.get("flf", 0.0)), to_int(data.get("seed", 0)), to_int(data.get("frame_to_skip", 81)), to_int(data.get("input_a_frames", 0)), to_int(data.get("input_b_frames", 0)), str(data.get("reference path", "")), to_int(data.get("reference switch", 1)), to_int(data.get("vace schedule", 1)), str(data.get("video file path", "")), str(data.get("reference image path", "")) ) # ========================================== # 2. BATCH NODES # ========================================== class JSONLoaderBatchLoRA: @classmethod def INPUT_TYPES(s): return {"required": {"json_path": ("STRING", {"default": "", "multiline": False}), "sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999})}} RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "STRING") RETURN_NAMES = ("lora_1_high", "lora_1_low", "lora_2_high", "lora_2_low", "lora_3_high", "lora_3_low") FUNCTION = "load_batch_loras" CATEGORY = "utils/json" def load_batch_loras(self, json_path, sequence_number): data = read_json_data(json_path) target_data = data if "batch_data" in data and isinstance(data["batch_data"], list) and len(data["batch_data"]) > 0: idx = (sequence_number - 1) % len(data["batch_data"]) target_data = data["batch_data"][idx] return ( str(target_data.get("lora 1 high", "")), str(target_data.get("lora 1 low", "")), str(target_data.get("lora 2 high", "")), str(target_data.get("lora 2 low", "")), str(target_data.get("lora 3 high", "")), str(target_data.get("lora 3 low", "")) ) class JSONLoaderBatchI2V: @classmethod def INPUT_TYPES(s): return {"required": {"json_path": ("STRING", {"default": "", "multiline": False}), "sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999})}} RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "FLOAT", "INT", "STRING", "STRING", "STRING") RETURN_NAMES = ("general_prompt", "general_negative", "current_prompt", "negative", "camera", "flf", "seed", "video_file_path", "reference_image_path", "flf_image_path") FUNCTION = "load_batch_i2v" CATEGORY = "utils/json" def load_batch_i2v(self, json_path, sequence_number): data = read_json_data(json_path) target_data = data if "batch_data" in data and isinstance(data["batch_data"], list) and len(data["batch_data"]) > 0: idx = (sequence_number - 1) % len(data["batch_data"]) target_data = data["batch_data"][idx] def to_float(val): try: return float(val) except: return 0.0 def to_int(val): try: return int(float(val)) except: return 0 return ( str(target_data.get("general_prompt", "")), str(target_data.get("general_negative", "")), str(target_data.get("current_prompt", "")), str(target_data.get("negative", "")), str(target_data.get("camera", "")), to_float(target_data.get("flf", 0.0)), to_int(target_data.get("seed", 0)), str(target_data.get("video file path", "")), str(target_data.get("reference image path", "")), str(target_data.get("flf image path", "")) ) class JSONLoaderBatchVACE: @classmethod def INPUT_TYPES(s): return {"required": {"json_path": ("STRING", {"default": "", "multiline": False}), "sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999})}} RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "FLOAT", "INT", "INT", "INT", "INT", "STRING", "INT", "INT", "STRING", "STRING") RETURN_NAMES = ("general_prompt", "general_negative", "current_prompt", "negative", "camera", "flf", "seed", "frame_to_skip", "input_a_frames", "input_b_frames", "reference_path", "reference_switch", "vace_schedule", "video_file_path", "reference_image_path") FUNCTION = "load_batch_vace" CATEGORY = "utils/json" def load_batch_vace(self, json_path, sequence_number): data = read_json_data(json_path) target_data = data if "batch_data" in data and isinstance(data["batch_data"], list) and len(data["batch_data"]) > 0: idx = (sequence_number - 1) % len(data["batch_data"]) target_data = data["batch_data"][idx] def to_float(val): try: return float(val) except: return 0.0 def to_int(val): try: return int(float(val)) except: return 0 return ( str(target_data.get("general_prompt", "")), str(target_data.get("general_negative", "")), str(target_data.get("current_prompt", "")), str(target_data.get("negative", "")), str(target_data.get("camera", "")), to_float(target_data.get("flf", 0.0)), to_int(target_data.get("seed", 0)), to_int(target_data.get("frame_to_skip", 81)), to_int(target_data.get("input_a_frames", 0)), to_int(target_data.get("input_b_frames", 0)), str(target_data.get("reference path", "")), to_int(target_data.get("reference switch", 1)), to_int(target_data.get("vace schedule", 1)), str(target_data.get("video file path", "")), str(target_data.get("reference image path", "")) ) # ========================================== # 3. UNIVERSAL CUSTOM NODES (1, 3, 6 Slots) # ========================================== class JSONLoaderCustom1: @classmethod def INPUT_TYPES(s): return { "required": { "json_path": ("STRING", {"default": "", "multiline": False}), "sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999}), }, "optional": { "key_1": ("STRING", {"default": "", "multiline": False}) } } RETURN_TYPES = ("STRING",) RETURN_NAMES = ("val_1",) FUNCTION = "load_custom" CATEGORY = "utils/json" def load_custom(self, json_path, sequence_number, key_1=""): data = read_json_data(json_path) target_data = data if "batch_data" in data and isinstance(data["batch_data"], list) and len(data["batch_data"]) > 0: idx = (sequence_number - 1) % len(data["batch_data"]) target_data = data["batch_data"][idx] return (str(target_data.get(key_1, "")),) class JSONLoaderCustom3: @classmethod def INPUT_TYPES(s): return { "required": { "json_path": ("STRING", {"default": "", "multiline": False}), "sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999}), }, "optional": { "key_1": ("STRING", {"default": "", "multiline": False}), "key_2": ("STRING", {"default": "", "multiline": False}), "key_3": ("STRING", {"default": "", "multiline": False}) } } RETURN_TYPES = ("STRING", "STRING", "STRING") RETURN_NAMES = ("val_1", "val_2", "val_3") FUNCTION = "load_custom" CATEGORY = "utils/json" def load_custom(self, json_path, sequence_number, key_1="", key_2="", key_3=""): data = read_json_data(json_path) target_data = data if "batch_data" in data and isinstance(data["batch_data"], list) and len(data["batch_data"]) > 0: idx = (sequence_number - 1) % len(data["batch_data"]) target_data = data["batch_data"][idx] return ( str(target_data.get(key_1, "")), str(target_data.get(key_2, "")), str(target_data.get(key_3, "")) ) class JSONLoaderCustom6: @classmethod def INPUT_TYPES(s): return { "required": { "json_path": ("STRING", {"default": "", "multiline": False}), "sequence_number": ("INT", {"default": 1, "min": 1, "max": 9999}), }, "optional": { "key_1": ("STRING", {"default": "", "multiline": False}), "key_2": ("STRING", {"default": "", "multiline": False}), "key_3": ("STRING", {"default": "", "multiline": False}), "key_4": ("STRING", {"default": "", "multiline": False}), "key_5": ("STRING", {"default": "", "multiline": False}), "key_6": ("STRING", {"default": "", "multiline": False}) } } RETURN_TYPES = ("STRING", "STRING", "STRING", "STRING", "STRING", "STRING") RETURN_NAMES = ("val_1", "val_2", "val_3", "val_4", "val_5", "val_6") FUNCTION = "load_custom" CATEGORY = "utils/json" def load_custom(self, json_path, sequence_number, key_1="", key_2="", key_3="", key_4="", key_5="", key_6=""): data = read_json_data(json_path) target_data = data if "batch_data" in data and isinstance(data["batch_data"], list) and len(data["batch_data"]) > 0: idx = (sequence_number - 1) % len(data["batch_data"]) target_data = data["batch_data"][idx] return ( str(target_data.get(key_1, "")), str(target_data.get(key_2, "")), str(target_data.get(key_3, "")), str(target_data.get(key_4, "")), str(target_data.get(key_5, "")), str(target_data.get(key_6, "")) ) # --- Mappings --- NODE_CLASS_MAPPINGS = { "JSONLoaderLoRA": JSONLoaderLoRA, "JSONLoaderStandard": JSONLoaderStandard, "JSONLoaderVACE": JSONLoaderVACE, "JSONLoaderBatchLoRA": JSONLoaderBatchLoRA, "JSONLoaderBatchI2V": JSONLoaderBatchI2V, "JSONLoaderBatchVACE": JSONLoaderBatchVACE, "JSONLoaderCustom1": JSONLoaderCustom1, "JSONLoaderCustom3": JSONLoaderCustom3, "JSONLoaderCustom6": JSONLoaderCustom6 } NODE_DISPLAY_NAME_MAPPINGS = { "JSONLoaderLoRA": "JSON Loader (LoRAs Only)", "JSONLoaderStandard": "JSON Loader (Standard/I2V)", "JSONLoaderVACE": "JSON Loader (VACE Full)", "JSONLoaderBatchLoRA": "JSON Batch Loader (LoRAs)", "JSONLoaderBatchI2V": "JSON Batch Loader (I2V)", "JSONLoaderBatchVACE": "JSON Batch Loader (VACE)", "JSONLoaderCustom1": "JSON Loader (Custom 1)", "JSONLoaderCustom3": "JSON Loader (Custom 3)", "JSONLoaderCustom6": "JSON Loader (Custom 6)" }