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