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import torch
from unittest.mock import patch, MagicMock
# Mock nodes module to prevent CUDA initialization during import
mock_nodes = MagicMock()
mock_nodes.MAX_RESOLUTION = 16384
# Mock server module for PromptServer
mock_server = MagicMock()
with patch.dict('sys.modules', {'nodes': mock_nodes, 'server': mock_server}):
from comfy_extras.nodes_images import ImageStitch
class TestImageStitch:
def create_test_image(self, batch_size=1, height=64, width=64, channels=3):
"""Helper to create test images with specific dimensions"""
return torch.rand(batch_size, height, width, channels)
def test_no_image2_passthrough(self):
"""Test that when image2 is None, image1 is returned unchanged"""
node = ImageStitch()
image1 = self.create_test_image()
result = node.stitch(image1, "right", True, 0, "white", image2=None)
assert len(result) == 1
assert torch.equal(result[0], image1)
def test_basic_horizontal_stitch_right(self):
"""Test basic horizontal stitching to the right"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=32)
image2 = self.create_test_image(height=32, width=24)
result = node.stitch(image1, "right", False, 0, "white", image2)
assert result[0].shape == (1, 32, 56, 3) # 32 + 24 width
def test_basic_horizontal_stitch_left(self):
"""Test basic horizontal stitching to the left"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=32)
image2 = self.create_test_image(height=32, width=24)
result = node.stitch(image1, "left", False, 0, "white", image2)
assert result[0].shape == (1, 32, 56, 3) # 24 + 32 width
def test_basic_vertical_stitch_down(self):
"""Test basic vertical stitching downward"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=32)
image2 = self.create_test_image(height=24, width=32)
result = node.stitch(image1, "down", False, 0, "white", image2)
assert result[0].shape == (1, 56, 32, 3) # 32 + 24 height
def test_basic_vertical_stitch_up(self):
"""Test basic vertical stitching upward"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=32)
image2 = self.create_test_image(height=24, width=32)
result = node.stitch(image1, "up", False, 0, "white", image2)
assert result[0].shape == (1, 56, 32, 3) # 24 + 32 height
def test_size_matching_horizontal(self):
"""Test size matching for horizontal concatenation"""
node = ImageStitch()
image1 = self.create_test_image(height=64, width=64)
image2 = self.create_test_image(height=32, width=32) # Different aspect ratio
result = node.stitch(image1, "right", True, 0, "white", image2)
# image2 should be resized to match image1's height (64) with preserved aspect ratio
expected_width = 64 + 64 # original + resized (32*64/32 = 64)
assert result[0].shape == (1, 64, expected_width, 3)
def test_size_matching_vertical(self):
"""Test size matching for vertical concatenation"""
node = ImageStitch()
image1 = self.create_test_image(height=64, width=64)
image2 = self.create_test_image(height=32, width=32)
result = node.stitch(image1, "down", True, 0, "white", image2)
# image2 should be resized to match image1's width (64) with preserved aspect ratio
expected_height = 64 + 64 # original + resized (32*64/32 = 64)
assert result[0].shape == (1, expected_height, 64, 3)
def test_padding_for_mismatched_heights_horizontal(self):
"""Test padding when heights don't match in horizontal concatenation"""
node = ImageStitch()
image1 = self.create_test_image(height=64, width=32)
image2 = self.create_test_image(height=48, width=24) # Shorter height
result = node.stitch(image1, "right", False, 0, "white", image2)
# Both images should be padded to height 64
assert result[0].shape == (1, 64, 56, 3) # 32 + 24 width, max(64,48) height
def test_padding_for_mismatched_widths_vertical(self):
"""Test padding when widths don't match in vertical concatenation"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=64)
image2 = self.create_test_image(height=24, width=48) # Narrower width
result = node.stitch(image1, "down", False, 0, "white", image2)
# Both images should be padded to width 64
assert result[0].shape == (1, 56, 64, 3) # 32 + 24 height, max(64,48) width
def test_spacing_horizontal(self):
"""Test spacing addition in horizontal concatenation"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=32)
image2 = self.create_test_image(height=32, width=24)
spacing_width = 16
result = node.stitch(image1, "right", False, spacing_width, "white", image2)
# Expected width: 32 + 16 (spacing) + 24 = 72
assert result[0].shape == (1, 32, 72, 3)
def test_spacing_vertical(self):
"""Test spacing addition in vertical concatenation"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=32)
image2 = self.create_test_image(height=24, width=32)
spacing_width = 16
result = node.stitch(image1, "down", False, spacing_width, "white", image2)
# Expected height: 32 + 16 (spacing) + 24 = 72
assert result[0].shape == (1, 72, 32, 3)
def test_spacing_color_values(self):
"""Test that spacing colors are applied correctly"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=32)
image2 = self.create_test_image(height=32, width=32)
# Test white spacing
result_white = node.stitch(image1, "right", False, 16, "white", image2)
# Check that spacing region contains white values (close to 1.0)
spacing_region = result_white[0][:, :, 32:48, :] # Middle 16 pixels
assert torch.all(spacing_region >= 0.9) # Should be close to white
# Test black spacing
result_black = node.stitch(image1, "right", False, 16, "black", image2)
spacing_region = result_black[0][:, :, 32:48, :]
assert torch.all(spacing_region <= 0.1) # Should be close to black
def test_odd_spacing_width_made_even(self):
"""Test that odd spacing widths are made even"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=32)
image2 = self.create_test_image(height=32, width=32)
# Use odd spacing width
result = node.stitch(image1, "right", False, 15, "white", image2)
# Should be made even (16), so total width = 32 + 16 + 32 = 80
assert result[0].shape == (1, 32, 80, 3)
def test_batch_size_matching(self):
"""Test that different batch sizes are handled correctly"""
node = ImageStitch()
image1 = self.create_test_image(batch_size=2, height=32, width=32)
image2 = self.create_test_image(batch_size=1, height=32, width=32)
result = node.stitch(image1, "right", False, 0, "white", image2)
# Should match larger batch size
assert result[0].shape == (2, 32, 64, 3)
def test_channel_matching_rgb_to_rgba(self):
"""Test that channel differences are handled (RGB + alpha)"""
node = ImageStitch()
image1 = self.create_test_image(channels=3) # RGB
image2 = self.create_test_image(channels=4) # RGBA
result = node.stitch(image1, "right", False, 0, "white", image2)
# Should have 4 channels (RGBA)
assert result[0].shape[-1] == 4
def test_channel_matching_rgba_to_rgb(self):
"""Test that channel differences are handled (RGBA + RGB)"""
node = ImageStitch()
image1 = self.create_test_image(channels=4) # RGBA
image2 = self.create_test_image(channels=3) # RGB
result = node.stitch(image1, "right", False, 0, "white", image2)
# Should have 4 channels (RGBA)
assert result[0].shape[-1] == 4
def test_all_color_options(self):
"""Test all available color options"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=32)
image2 = self.create_test_image(height=32, width=32)
colors = ["white", "black", "red", "green", "blue"]
for color in colors:
result = node.stitch(image1, "right", False, 16, color, image2)
assert result[0].shape == (1, 32, 80, 3) # Basic shape check
def test_all_directions(self):
"""Test all direction options"""
node = ImageStitch()
image1 = self.create_test_image(height=32, width=32)
image2 = self.create_test_image(height=32, width=32)
directions = ["right", "left", "up", "down"]
for direction in directions:
result = node.stitch(image1, direction, False, 0, "white", image2)
assert result[0].shape == (1, 32, 64, 3) if direction in ["right", "left"] else (1, 64, 32, 3)
def test_batch_size_channel_spacing_integration(self):
"""Test integration of batch matching, channel matching, size matching, and spacings"""
node = ImageStitch()
image1 = self.create_test_image(batch_size=2, height=64, width=48, channels=3)
image2 = self.create_test_image(batch_size=1, height=32, width=32, channels=4)
result = node.stitch(image1, "right", True, 8, "red", image2)
# Should handle: batch matching, size matching, channel matching, spacing
assert result[0].shape[0] == 2 # Batch size matched
assert result[0].shape[-1] == 4 # Channels matched to max
assert result[0].shape[1] == 64 # Height from image1 (size matching)
# Width should be: 48 + 8 (spacing) + resized_image2_width
expected_image2_width = int(64 * (32/32)) # Resized to height 64
expected_total_width = 48 + 8 + expected_image2_width
assert result[0].shape[2] == expected_total_width
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