random_model_selector.py

import os
import random
from folder_paths import get_filename_list, get_full_path
import comfy.sd

class RandomModelSelector:
    @classmethod
    def INPUT_TYPES(cls):
        model_list = get_filename_list("checkpoints")
        # if not model_list:
        #     raise ValueError("No checkpoint models found in the checkpoints directory")
        
        optional_inputs = {}
        
        # Safely get default model for each input
        for i in range(1, 11):
            # If model_list is empty, use an empty default
            if not model_list:
                optional_inputs[f"model_{i}"] = (model_list, {})
            else:
                # Use modulo to wrap around to the start of the list if we exceed its length
                default_index = (i - 1) % len(model_list)
                optional_inputs[f"model_{i}"] = (model_list, {"default": model_list[default_index]})
        
        optional_inputs["seed"] = ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff})

        return {
            "required": {
                "number_of_models": ("INT", {"default": 3, "min": 1, "max": 20, "step": 1}),
            },
            "optional": optional_inputs
        }

    RETURN_TYPES = ("MODEL", "CLIP", "VAE", "STRING", "STRING", "STRING")
    RETURN_NAMES = ("model", "clip", "vae", "model_path", "model_name", "model_folder")
    FUNCTION = "random_select_model"
    CATEGORY = "Bjornulf"

    def random_select_model(self, number_of_models, seed, **kwargs):
        random.seed(seed)

        # Collect available models from kwargs
        available_models = [
            kwargs[f"model_{i}"] for i in range(1, number_of_models + 1) 
            if f"model_{i}" in kwargs and kwargs[f"model_{i}"]
        ]
        
        # Raise an error if no models are available
        if not available_models:
            raise ValueError("No models selected. Please ensure at least one model is selected.")
        
        # Randomly select a model
        selected_model = random.choice(available_models)
        
        # Get the model name (without folders or extensions)
        model_name = os.path.splitext(os.path.basename(selected_model))[0]
        
        # Get the full path to the selected model
        model_path = get_full_path("checkpoints", selected_model)
        
        # Get the folder name where the model is located
        model_folder = os.path.basename(os.path.dirname(model_path))
        
        # Load the model using ComfyUI's checkpoint loader
        loaded_objects = comfy.sd.load_checkpoint_guess_config(model_path)
        
        # Unpack only the values we need
        model, clip, vae = loaded_objects[:3]
        
        return model, clip, vae, model_path, model_name, model_folder