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+**/__pycache__/
diff --git a/README.md b/README.md
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+++ b/README.md
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-# ComfyUI-SizeFromArray
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+# ComfyUI-SizeFromArray
+
+![SizeFromArray Preview](example.png "SizeFromArray Preview")  
+
+- Custom node for [ComfyUI](https://github.com/comfyanonymous/ComfyUI).
+- Add node that outputs random pair of width and height from given array.
+
+## Installation
+```
+cd <ComfyUI directory>/custom_nodes
+git clone https://github.com/ITurchenko/ComfyUI-SizeFromArray.git
+```
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diff --git a/__init__.py b/__init__.py
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+from .nodes.random import *
+
+NODE_CLASS_MAPPINGS = {
+    "SizeFromArray": SizeFromArray,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "SizeFromArray": "Retrieve random pair of size from array",
+}
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diff --git a/nodes/random.py b/nodes/random.py
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+import csv
+import os
+
+import numpy as np
+import torch
+
+import folder_paths
+
+import comfy.model_management
+
+custom_nodes_dir = folder_paths.get_folder_paths("custom_nodes")[0]
+presets_dir = os.path.join(custom_nodes_dir, "ComfyUI-SizeFromArray", "presets")
+    
+class SizeFromArray:
+    def __init__(self):
+        pass
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "sizes": ("STRING", {"default": "512,512\n512,768\n768,512\n", "multiline": True}),
+                "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
+            },
+        }
+
+    RETURN_TYPES = ("INT","INT")
+    RETURN_NAMES = ("width","height")
+    FUNCTION = "get_size"
+    CATEGORY = "SizeFromArray"
+    DESCRIPTION = """
+Return random pair of width&height from given array  
+
+For example the default values:  
+512,512
+512,768
+768,512
+  
+Would return random pair from 512x512, 512x768 or 768x512
+"""
+
+    def get_size(self, sizes, seed):
+        random_gen = np.random.default_rng(seed)
+        
+        lines = [line for line in sizes.split('\n') if line] # Split the string into lines (except empty ones)
+        tuples_array = [ tuple(map(int, line.strip().split(','))) for line in lines] 
+        
+        preset = random_gen.choice(tuples_array)
+                
+        return (preset[0], preset[1])
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